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<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2023.1323569</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Yield components affected by rice black-streaked dwarf virus disease in rice cultivars with different resistance levels</article-title>
</title-group>
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<name><surname>Sun</surname> <given-names>Yue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Jing</surname> <given-names>Dedao</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Jiayuan</given-names></name>
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<name><surname>Du</surname> <given-names>Linlin</given-names></name>
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<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Chenyang</given-names></name>
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<name><surname>Lan</surname> <given-names>Ying</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Lin</surname> <given-names>Feng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Zhou</surname> <given-names>Tong</given-names></name>
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<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing</institution>, <addr-line>Jiangsu</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Food Science, Shenyang Agricultural University, Shenyang</institution>, <addr-line>Liaoning</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Zhenjiang Institute of Agricultural Sciences of the Ning-Zhen Hilly District, Zhenjiang</institution>, <addr-line>Jiangsu</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>International Joint Center for Japonica Rice Research, Nanjing</institution>, <addr-line>Jiangsu</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Bernardo Gonz&#x000E1;lez, Adolfo Ib&#x000E1;&#x000F1;ez University, Chile</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Wenwen Liu, Chinese Academy of Agricultural Sciences, China; Dong-Liang Huang, Guangxi Academy of Agricultural Sciences, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Tong Zhou <email>zhoutong&#x00040;jaas.ac.cn</email></corresp>
<corresp id="c002">Feng Lin <email>fenglin&#x00040;jaas.ac.cn</email></corresp>
<fn fn-type="equal" id="fn001"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1323569</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>10</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Sun, Jing, Zhang, Du, Li, Lan, Lin and Zhou.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Sun, Jing, Zhang, Du, Li, Lan, Lin and Zhou</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Rice black-streaked dwarf virus disease (RBSDVD) is one of the most destructive rice viral diseases, leading to severe yield losses in rice production. However, little is known about the yield-related components associated with the disease and no resistance cultivars have been successfully used in rice breeding.</p></sec>
<sec>
<title>Methods</title>
<p>Seven rice cultivars were analyzed in this study, including six commercial rice varieties and a new line Zhongjian No. 201 (ZJ201) containing the resistance gene <italic>OsAP47</italic>. Resistance levels of these cultivars were evaluated by artificial inoculation and yield components were collected, including panicle length (PL), spikelets per panicle (SPP), ripened grains per panicle (RGPP), as well as panicles per square meter (PPSM) and 1000-grain weight (TGW). Seed setting rate (SSR) were calculated with the data of SPP and RGPP.</p></sec>
<sec>
<title>Results and discussion</title>
<p>The results showed that ZJ201 displayed the highest resistance level and most of the commercial rice cultivars exhibited susceptible to RBSDVD. Yields of all the rice cultivars were significantly declined except ZJ201 and yield losses produced by RBSDVD were mainly due to the reduction of PL, SPP, RGPP, and TGW, suggesting that developments of these traits are associated with RBSDV infection. Resistant rice cultivar could reduce yield losses by maintaining normal development of these traits. Significant correlations were identified between resistance levels and the yield components except SSR and PPSM. The results provided useful clues for understanding the mechanisms of RBSDV invasion and its effect on rice production. ZJ201 was demonstrated as a resistance material that could be used in rice breeding.</p></sec></abstract>
<kwd-group>
<kwd>rice</kwd>
<kwd>yield component</kwd>
<kwd>RBSDVD</kwd>
<kwd>resistance</kwd>
<kwd>breeding</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="1"/>
<ref-count count="32"/>
<page-count count="9"/>
<word-count count="5852"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbe and Virus Interactions with Plants</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Rice (<italic>Oryza sativa</italic>) is one of the most important food crops, and approximately half of the world population is wholly dependent upon it as a staple crop for nutrition and caloric intake, contributing more than one-fifth of the calories consumed by humans. Owing to the rapid population growth, the current crop yield stability requires an attenuation of the reduction in yield and quality losses caused by environmental stress, owing to shifts in pathogens and other factors (Bailey-Serres et al., <xref ref-type="bibr" rid="B1">2019</xref>; Buresh et al., <xref ref-type="bibr" rid="B2">2021</xref>). Plant pathogens, including viruses, bacteria, fungi, and so forth, cause a total yield loss of &#x0007E;30% in staple food crops worldwide (Wang P. et al., <xref ref-type="bibr" rid="B23">2022</xref>).</p>
<p>Rice black-streaked dwarf virus (RBSDV) belongs to the genus <italic>Fijivirus</italic> in the family <italic>Spinareoviridae</italic> and was first reported in Japan in the early 1950s. It is transmitted by small brown planthoppers (SBPH, <italic>Laodelphax striatellus</italic> Fall&#x000E9;n) in a persistent, circulative, and propagative manner. RBSDV naturally infects various <italic>Poaceae</italic> crops, including rice, maize, wheat, barley, and <italic>Alopecurus aequalis</italic> Sobal (Hibino, <xref ref-type="bibr" rid="B4">1996</xref>; Zhang et al., <xref ref-type="bibr" rid="B31">2001</xref>). The first major outbreaks of the disease caused by RBSDV in Japan were recorded in maize from 1957 to 1961 (Hibino, <xref ref-type="bibr" rid="B4">1996</xref>).</p>
<p>Several outbreaks of rice black-streaked dwarf virus disease (RBSDVD) across different rice cultivars were reported in Japan (1965&#x02013;1967), China (1963; 1965&#x02013;1967), and Korea (1975&#x02013;1976) (Hibino, <xref ref-type="bibr" rid="B4">1996</xref>), resulting in severe yield losses in rice production (Ruan et al., <xref ref-type="bibr" rid="B15">1984</xref>; Hibino, <xref ref-type="bibr" rid="B4">1996</xref>). After disappearing for some years, RBSDVD reemerged in China between 1991 and 2002, and outbreaks have been recorded in japonica rice in several provinces in China since 2008 (Wu et al., <xref ref-type="bibr" rid="B28">2020</xref>). The disease incidence (DI) of RBSDVD in rice also increased in Jeonra provinces in Korea around 2005 (Lee et al., <xref ref-type="bibr" rid="B8">2005</xref>) and in Saitama Prefecture in Japan after 2010 (Matsukura et al., <xref ref-type="bibr" rid="B11">2019</xref>). Up to 64,640 ha of the late japonica rice crop were affected by RBSDVD with estimated losses of 120,000 tons of grain per year from 1995 to 2007 in Zhejiang province, China (Wang et al., <xref ref-type="bibr" rid="B21">2009</xref>). Since 2006, RBSDVD has been widespread in Jiangsu, Zhejiang, and Shandong provinces; outbreaks and serious epidemics were recorded during 2013&#x02013;2014 in China (Ren et al., <xref ref-type="bibr" rid="B14">2016</xref>). Approximately 25 and 35.6% of the planted area in Kaifeng were affected by RBSDVD in 2013 and 2014, respectively, resulting in rice yield losses of up to 200,000 kg (Ren et al., <xref ref-type="bibr" rid="B14">2016</xref>).</p>
<p>Although severe yield losses had been observed in rice after RBSDV infection, it is not clear how yield was affected by the virus invasion, and little is known about the yield components associated with the disease. RBSDV-infected rice plants have been identified, showing pronounced stunting, darkening of leaves, twisting of leaf tips, splitting of the leaf margin, and waxy white-to-black galls along the veins on the underside of leaf blades and the outer surface of sheaths and columns (Ruan et al., <xref ref-type="bibr" rid="B15">1984</xref>; Hibino, <xref ref-type="bibr" rid="B4">1996</xref>). However, none of these are key components for rice yield, which is largely determined by some correlated traits such as panicle number, grain number per panicle, grain weight, and so forth (Song et al., <xref ref-type="bibr" rid="B16">2022</xref>). The grain number per panicle can also be attributed to the spikelet number and seed-setting rate (SSR) of the spikelets. The development processes of these traits are regulated by genes or quantitative trait loci (QTL) involved in different pathways and networks (Xing and Zhang, <xref ref-type="bibr" rid="B29">2010</xref>). In addition, these traits are usually inversely related in rice (Wang B. et al., <xref ref-type="bibr" rid="B19">2018</xref>). Evaluation of the effect of RBSDV on different yield components is beneficial not only for disease control but also for revealing the mechanisms of rice responses to virus invasion.</p>
<p>The cultivation and application of resistance rice with high yield and good quality is an ongoing trend (Wing et al., <xref ref-type="bibr" rid="B27">2018</xref>). However, genetic immunity to disease often comes with an unintended reduction in growth and yield (Ning et al., <xref ref-type="bibr" rid="B12">2017</xref>). Quite a few reports have focused on RBSDVD resistance in germplasm screening and revealed a low percentage of resistant materials among the temperate sources of japonica germplasm. Only several aus, indica, and tropical japonica subspecies displayed higher levels of resistance (Pan et al., <xref ref-type="bibr" rid="B13">2009</xref>; Wang et al., <xref ref-type="bibr" rid="B20">2010</xref>; Zhang et al., <xref ref-type="bibr" rid="B32">2016</xref>). Most of these resistance materials are local germplasms with relatively low yield and quality and have not been used successfully in rice resistance breeding. Therefore, it is necessary to evaluate the effect of resistance materials or genes on rice yield and quality.</p>
<p>Recently, our laboratory identified an RBSDVD-resistant rice variety, W44, and isolated a resistant gene, <italic>OsAP47</italic> (Wang Z. et al., <xref ref-type="bibr" rid="B26">2022</xref>). With these results, an RBSDVD-resistant cultivar, ZJ201, was produced (unpublished data). Together with several susceptible rice cultivars, in this study, we aimed to assess the effect of RBSDVD on rice production and evaluate the yield-related traits of rice cultivars with different levels of resistance. The results may help in understanding the mechanisms of rice responses to RBSDV invasion and the utilization of resistance QTL or genes in rice breeding.</p></sec>
<sec id="s2">
<title>2 Materials and methods</title>
<sec>
<title>2.1 Plant materials</title>
<p>Seven rice japonica cultivars were used in this study, namely Zhongjian No. 201 (ZJ201), Huaidao No. 5 (H5), Nanjng No. 5055 (NJ5055), Nanjng No. 9108 (NJ9108), XuDao No. 3 (XD3), Wuyunjing No. 27 (WYJ27), and Suxiu No. 867 (SX867). ZJ201 is a new rice line containing the resistance gene <italic>OsAP47</italic>. H5 is a late-maturing cultivar showing high and stable yield with good quality. Both NJ5055 (early maturing) and NJ9108 (late maturing) are excellent flavored cultivars. XD3 is a rice cultivar with high yield and quality that is suitable for cultivation in the Jianghuai and Huaibei areas of China. WYJ27 is a conventional cultivar that is suitable for late sowing in central Jiangsu Province. SX867 is a conventional japonica rice that is mostly planted in the Huanghuai area of China. All the rice cultivars were planted in a field in Zhenjiang, Jiangsu Province, China, during the normal sowing season in 2022.</p>
</sec>
<sec>
<title>2.2 Artificial inoculation of RBSDV</title>
<p>The seven rice cultivars were inoculated with RBSDV collected from a field in Jiangsu Province, China, and tested by polymerase chain reaction (PCR) with specific primers. The second instar SBPH nymphs were reared on the RBSDV-positive rice plants for 5 days to acquire the virus and were maintained on Wuyujing No. 3 rice seedlings, which are suitable for SBPH development. After 8 days, when the virus had circulated through the insect, the viruliferous SBPHs were detected by the dot-enzyme-linked immunosorbent assay (dot-ELISA).</p>
<p>At least 100 seedlings of each cultivar were grown in a room with humidity ranging from 35 to 45% and a temperature between 25&#x000B0; and 30&#x000B0;. At the 1.5-leaf stage, each seedling was fed with three viruliferous (RBSDV) or virus-free (mock) SBPHs for 3 days, as described by Li et al. (<xref ref-type="bibr" rid="B10">2022</xref>). Then, all insects on the plants were removed, and seedlings were cultured in the field for symptom development without pesticide or antiviral spraying. Three replicates were performed for each line. The disease incidence (the number of RBSDV-infected plants/the total number of plants counted &#x000D7; 100%) was recorded at 30 days post-inoculation (dpi) and repeated 7 days later. Individuals with the typical symptoms of RBSDVD were considered RBSDV-infected plants.</p>
</sec>
<sec>
<title>2.3 Western blot assay</title>
<p>Five seedlings were harvested, and mixed tissues were ground in liquid nitrogen and then extracted using protein extraction buffer (Sigma-Aldrich, St Louis, MO, USA) supplemented with protease inhibitors (phenylmethylsulfonyl fluorid (PMSF); the final concentration was 1 mM). After a 15-min centrifugation at 18,000 RCF at 4&#x000B0;C, the supernatant was collected from each sample and boiled for 8 min. The sample protein was separated in 10% sodium dodecyl sulfate&#x02013;polyacrylamide gel electrophoresis (SDS-PAGE) through electrophoresis and then transferred onto polyvinylidene fluoride membranes. The antibody against RBSDV-CP was provided by Professor Jianxiang Wu from Zhejiang University, Zhejiang, China.</p>
</sec>
<sec>
<title>2.4 Yield testing</title>
<p>After inoculation, all the seedlings were transplanted into the experimental field in Zhenjiang, Jiangsu Province, China, during the regular planting season. Each plot consisted of one row of length of 3 m, with each row spaced 25 cm apart and 20 seedlings per row. All the plants were subjected to normal field management without antiviral spraying. At maturity, agronomic traits were collected in each plot. Plant height (PH) was measured as the average distance (cm) from ground level to the panicle tip of the tallest tiller for 10 plants. Panicle length (PL) was determined as the average length (cm) of 30 randomly selected panicles. Spikelets per panicle (SPP) represented the number of filled and empty spikelets, and ripened grains per panicle (RGPP) indicated the number of filled grains per panicle. Both SPP and RGPP were measured using 30 randomly selected panicles. Panicles per square meter (PPSM) were defined as the number of PPSM, and three replicates were counted. In each square meter, the 1,000-grain weight (TGW) was determined by measuring the weight (g) of a sample of randomly selected 1,000 grains, with three replicates per plot. SSR was calculated using the data of SPP and RGPP. Actual yields (AY) were determined by weighing all the grains of the plants in 1 sq.m, with three replicates for each plot. Theoretical yields (TY) were calculated with the following equation:</p>
<disp-formula id="E1"><mml:math id="M1"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mtext>TY</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>ha</mml:mtext></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mtext>PPSM</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mn>1</mml:mn><mml:msup><mml:mrow><mml:mn>0</mml:mn></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msup><mml:mo>&#x000D7;</mml:mo><mml:mtext>SPP</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mtext>SSR</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mtext>TGW</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mn>1</mml:mn><mml:msup><mml:mrow><mml:mn>0</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo><mml:mn>3</mml:mn></mml:mrow></mml:msup></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
</sec>
<sec>
<title>2.5 Statistical analysis</title>
<p>Each experiment comprised three biological replicates, and data were presented as the mean with standard deviations (SD). Differences were analyzed using a one-way analysis of variance (ANOVA). Statistical analyses were carried out using SPSS 23.0 (Armonk, USA). Different letters indicate a significant difference (with a <italic>P</italic>-value &#x0003C; 0.05).</p></sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec>
<title>3.1 Different resistance levels to RBSDVD</title>
<p>After RBSDV infection, the rice cultivars showed typical symptoms, and the plant heights were severely stunted at the early developmental stage (<xref ref-type="fig" rid="F1">Figure 1A</xref>). Plant heights of these cultivars were recorded at maturity and were &#x0007E;80 cm without RBSDV infection (<xref ref-type="fig" rid="F1">Figures 1B</xref>, <xref ref-type="fig" rid="F1">C</xref>). The average PH of all the infected cultivars was significantly reduced compared to mock plants (<xref ref-type="fig" rid="F1">Figures 1A</xref>&#x02013;<xref ref-type="fig" rid="F1">C</xref>). The minimum reduction was identified in ZJ201, which decreased from 83.9 to 76.4 cm. Although the PH reduction of ZJ201 reached a significant level of <italic>P</italic> &#x0003C; 0.05, the reduction rate was only 8.4%. The PH reductions of the other cultivars were significant at <italic>P</italic> &#x0003C; 0.01, with reduction rates ranging from 43.0 to 58.5%. The maximum reduction was detected in NJ5055, which decreased from 87.7 to 36.4 cm, with a reduction rate of 58.5% (<xref ref-type="fig" rid="F1">Figures 1B</xref>, <xref ref-type="fig" rid="F1">C</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Typical symptoms of the seven rice cultivars after RBSDV infection. Phenotypes of ZJ201, H5, NJ5055, NJ9108, XD3, WYJ27, and SX867 at the jointing stage (<bold>A</bold>, Scale bar = 2 cm) and the maturity stage (<bold>B</bold>, Scale bar = 5 cm) compared with mock plants. <bold>(C)</bold> The plant heights of all the seven rice cultivars were significantly reduced compared with mock plants at the maturity stage. &#x0002A;<italic>P</italic>-value &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic>-value &#x0003C; 0.01.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-14-1323569-g0001.tif"/>
</fig>
<p>The infected plants with typical symptoms were recorded to calculate DIs. The rice cultivars showed different levels of resistance to RBSDVD (<xref ref-type="fig" rid="F2">Figures 2A</xref>, <xref ref-type="fig" rid="F2">B</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Video</xref>), with DI ranging from 25.3 to 95.3% (<xref ref-type="fig" rid="F3">Figure 3A</xref>). ZJ201 displayed the highest level of resistance with DI at 25.3%, which was significantly lower than that of the other cultivars. NJ5055 exhibited the most susceptible phenotype, with DI at 95.3%. H5, NJ9108, and WYJ27 showed the same levels of susceptibility, with DI values of 93.7, 93.7, and 93.3%, respectively. The other two cultivars, SX867 and XD3, were less susceptible to RBSDVD, but the DI values were still remarkably higher than that of ZJ201 (<xref ref-type="fig" rid="F3">Figure 3A</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Performance of the seven rice cultivars after artificial inoculation compared with mock plants at the jointing stage <bold>(A)</bold> and the maturity stage <bold>(B)</bold>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-14-1323569-g0002.tif"/>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Different resistance levels of the seven rice cultivars to rice black-streaked dwarf virus disease. <bold>(A)</bold> Disease incidence (DI) of ZJ201, H5, NJ5055, NJ9108, XD3, WYJ27, and SX867 at 30 days post-inoculation (dpi). <bold>(B)</bold> Expression level of RBSDV P10 in different samples measured through Western blot assay at 0, 14, and 28 dpi. The expression of rice Actin was used as an internal control.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-14-1323569-g0003.tif"/>
</fig>
<p>In addition, the RBSDV protein was detected with a specific antibody against the P10 epitope, revealing the accumulation of RBSDV in these cultivars at 14 and 28 dpi (<xref ref-type="fig" rid="F3">Figure 3B</xref>). The varying amounts of RBSDV accumulation suggested that resistance levels to RBSDVD were significantly different in these rice cultivars.</p>
</sec>
<sec>
<title>3.2 Different yield losses produced by RBSDVD</title>
<p>The TY and AY of mock plants ranged from 6,510.4 and 5320.3 kg/ha (XD3) to 10,063.9 and 9,607.0 kg/ha (H5). After RBSDV infection, both TY and AY significantly declined for all rice cultivars except ZJ201, reducing up to 813.6 kg/ha (NJ5055) and 850.3 kg/ha (NJ5055), respectively (<xref ref-type="fig" rid="F4">Figures 4A</xref>, <xref ref-type="fig" rid="F4">B</xref>). The most resistant cultivar, ZJ201, exhibited the minimum yield reduction rate in both TY (22.6%) and AY (19.9%). Although a remarkable TY reduction was detected in ZJ201 (<italic>P</italic> &#x0003C; 0.05), the AY difference did not reach a significant level.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Theoretical <bold>(A)</bold> and actual <bold>(B)</bold> yield of the seven rice cultivars with (RB) or without (mock) RBSDV inoculation. &#x0002A;<italic>P</italic>-value &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic>-value &#x0003C; 0.01.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-14-1323569-g0004.tif"/>
</fig>
<p>Dramatic yield losses (<italic>P</italic> &#x0003C; 0.01) were identified in all the other rice cultivars, with the reduction rate ranging from 43.2 to 90.4% for TY and from 58.9 to 90.1% for AY. The less susceptible cultivar SX867 displayed a lower reduction rate than the other five cultivars, both in TY and AY. The reduction rate of XD3 was less than that of H5, NJ5055, and NJ9108 in both TY and AY. The susceptible cultivars NJ5055 and NJ9108 showed the most severe losses, with about a 90% reduction for both TY and AY (<xref ref-type="fig" rid="F4">Figures 4A</xref>, <xref ref-type="fig" rid="F4">B</xref>).</p>
</sec>
<sec>
<title>3.3 Yield components associated with yield losses with RBSDVD</title>
<p>Rice yield is largely determined by several component traits, including panicle number, spikelet number per panicle, PL, grain weight, and so forth. PL significantly decreased after RBSDV infection for all the rice cultivars except ZJ201, with a reduction rate ranging from 26.1 to 38.1% (<xref ref-type="fig" rid="F5">Figures 5A</xref>, <xref ref-type="fig" rid="F5">B</xref>). No significant changes were detected between the PL data of mock and infected plants in ZJ201. The reduction rates of XD3 and SX867, with lower DI values, were 32.3 and 26.1%, respectively, less than those of the other four cultivars (35.1&#x02013;38.1%). H5 displayed the maximum PL reduction from 15.3 to 9.4 cm (<xref ref-type="fig" rid="F5">Figures 5A</xref>, <xref ref-type="fig" rid="F5">B</xref>).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Effect of RBSDVD on panicle length and spikelets per panicle of the seven rice cultivars. <bold>(A)</bold> Phenotype of the panicles of inoculated and mock plants. Scale bar = 2 cm. Comparison of panicle lengths <bold>(B)</bold> and spikelets per panicle <bold>(C)</bold> of ZJ201, H5, NJ5055, NJ9108, XD3, WYJ27, and SX867 between inoculated and mock plants. &#x0002A;&#x0002A;<italic>P</italic>-value &#x0003C; 0.01.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-14-1323569-g0005.tif"/>
</fig>
<p>After RBSDV infection, SPPs significantly decreased for all rice cultivars except ZJ201 (<xref ref-type="fig" rid="F5">Figures 5A</xref>, <xref ref-type="fig" rid="F5">C</xref>). The difference between mock and RBSDV-inoculated plants did not reach a significant level in ZJ201. In the other cultivars, the reduction rate of SPP ranged from 41.2% (SX867) to 63.8% (WYJ27), all significant at <italic>P</italic> &#x0003C; 0.01 (<xref ref-type="fig" rid="F5">Figure 5C</xref>). The reduction rates of XD3 and SX867 were 56.6 and 41.2%, respectively, less than those of the other four rice cultivars (58.2&#x02013;63.8%). The maximum reduction was detected in WYJ27, with the SPP reduction from 142.2 to 51.5 (<xref ref-type="fig" rid="F5">Figure 5C</xref>).</p>
<p>With the recorded data of RGPP shown in <xref ref-type="fig" rid="F6">Figure 6A</xref>, SSR was calculated using the data of SPP and RGPP. No significant changes were detected between mock and RBSDV-infected ZJ201, both in RGPP and SSR (<xref ref-type="fig" rid="F6">Figures 6A</xref>, <xref ref-type="fig" rid="F6">B</xref>). In all the other six rice cultivars, remarkable reductions in RGPP (<italic>P</italic> &#x0003C; 0.01) were identified, and the RGPP reduction rates of XD3 (61.2%) and SX867 (51.4%) were less than those of the other cultivars (66.1&#x02013;85.3%) (<xref ref-type="fig" rid="F6">Figure 6A</xref>). In addition to ZJ201, changes in SSR did not reach a significant level in XD3, despite the fact that its SPP and RGPP changed remarkably (<xref ref-type="fig" rid="F6">Figure 6B</xref>).</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Different effects of RBSDVD on yield-contributing components: <bold>(A)</bold> ripened grains per panicle, <bold>(B)</bold> seed-setting rate, <bold>(C)</bold> 1,000-grain weight, and <bold>(D)</bold> panicles per square meter. &#x0002A;<italic>P</italic>-value &#x0003C; 0.05, &#x0002A;&#x0002A;<italic>P</italic>-value &#x0003C; 0.01.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-14-1323569-g0006.tif"/>
</fig>
<p>For another yield component trait, TGW, the rice cultivar ZJ201 exhibited the same level between mock and inoculated plants. TGW of the other rice cultivars declined significantly at <italic>P</italic> &#x0003C; 0.01, with the reduction rate ranging from 10.2% (WYJ27) to 18.6% (H5) (<xref ref-type="fig" rid="F6">Figure 6C</xref>). H5 displayed the maximum TGW in the mock plants and the maximum reduction rate after RBSDV infection. WYJ27 displayed the minimum reduction rate from 25.6 to 23.0 g (<xref ref-type="fig" rid="F6">Figure 6C</xref>).</p>
<p>Among the yield components affected by RBSDV, the average reduction rate in the seven rice cultivars of RGPP (58.6%) was much higher than that of PL (29.8%), SPP (50.2%), PPSM (11.5%), and TGW (11.5%), suggesting that RGPP contributes the most yield losses after RBSDV infection.</p>
<p>Unlike the traits described earlier, PPSM displayed diverse changes after RBSDV infection and significantly reduced only in NJ5055 but not in the other six cultivars (<xref ref-type="fig" rid="F6">Figure 6D</xref>). The differences between RBSDV-infected and mock lines of ZJ201, H5, NJ9108, XD3, and WYJ27 did not reach a significant level, while that of SX867 increased after RBSDV infection (<xref ref-type="fig" rid="F6">Figure 6D</xref>).</p>
</sec>
<sec>
<title>3.4 Yield component reductions associated with resistance levels</title>
<p>Given that the resistant cultivar ZJ201 displayed minimal yield losses, significant correlations were detected between DI and yield reduction rates for both TY and AY, with correlation coefficients of 0.879 and 0.904, respectively, all significant at <italic>P</italic> &#x0003C; 0.01 level (<xref ref-type="table" rid="T1">Table 1</xref>). This implies a relationship between resistance levels and rice yield production.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Correlation between DI and the reduction rates of each agronomic traits.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th/>
<th valign="top" align="left"><bold>TY</bold></th>
<th valign="top" align="left"><bold>AY</bold></th>
<th valign="top" align="left"><bold>PL</bold></th>
<th valign="top" align="left"><bold>SPP</bold></th>
<th valign="top" align="left"><bold>RGPP</bold></th>
<th valign="top" align="left"><bold>TGW</bold></th>
<th valign="top" align="left"><bold>PPSM</bold></th>
<th valign="top" align="left"><bold>SSR</bold></th>
<th valign="top" align="left"><bold>PH</bold></th>
<th valign="top" align="left"><bold>LFL</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">DI</td>
<td valign="top" align="left">0.879</td>
<td valign="top" align="left">0.904</td>
<td valign="top" align="left">0.987</td>
<td valign="top" align="left">0.977</td>
<td valign="top" align="left">0.962</td>
<td valign="top" align="left">0.851</td>
<td valign="top" align="left">0.117</td>
<td valign="top" align="left">0.526</td>
<td valign="top" align="left">0.969</td>
<td valign="top" align="left">0.931</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="left">0.009</td>
<td valign="top" align="left">0.005</td>
<td valign="top" align="left">&#x0003C; 0.001</td>
<td valign="top" align="left">&#x0003C; 0.001</td>
<td valign="top" align="left">0.001</td>
<td valign="top" align="left">0.015</td>
<td valign="top" align="left">0.803</td>
<td valign="top" align="left">0.225</td>
<td valign="top" align="left">&#x0003C; 0.001</td>
<td valign="top" align="left">0.002</td>
</tr></tbody>
</table>
</table-wrap>
<p>Most of the yield components declined after RBSDV infection, and their reduction rates were significantly correlated with DI, including PL, SPP, RGPP, and TGW, with correlation coefficients ranging from 0.851 to 0.987 (<xref ref-type="table" rid="T1">Table 1</xref>). The other two yield-related traits, PPSM and SSR, did not show a remarkable correlation with DI, a correlation coefficient of 0.117 and 0.526, respectively (<xref ref-type="table" rid="T1">Table 1</xref>).</p></sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<p>To reduce the impact of RBSDVD in regions with epidemics, various measures were produced, which were primarily aimed at interrupting the cycle of virus transmission by the vector SBPHs. These measures included covering rice seedling nurseries with insect-proof nets or applying pesticides to control the insects (Wu et al., <xref ref-type="bibr" rid="B28">2020</xref>). However, these management practices tend to waste natural resources or cause environmental pollution, thereby posing challenges. Identifying natural resistance resources and breeding resistant varieties is considered the most economical and effective approach to control this disease.</p>
<p>According to a 3-year evaluation, three varieties were identified with consistent DI of &#x0003C; 10%, and all originated from Southeast Asia (Wang et al., <xref ref-type="bibr" rid="B18">2014</xref>). Four rice varieties with stable levels of RBSDV resistance were discovered in the rice diversity panel 1 cultivars (Feng et al., <xref ref-type="bibr" rid="B3">2019</xref>). Recently, our laboratory identified a highly RBSDVD-resistant variety, W44, through an extensive evaluation of a diverse international rice panel and isolated a resistance gene, <italic>OsAP47</italic> (Wang Z. et al., <xref ref-type="bibr" rid="B26">2022</xref>). To utilize these resistance germplasms in rice resistance breeding, our laboratory bred a new line, ZJ201, based on the resistant cultivar W44, and introduced <italic>OsAP47</italic> into a new genetic background. In this study, seven rice cultivars were evaluated, and ZJ201 displayed the highest level of resistance against RBSDVD, as indicated by DI (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<p>As expected, yields of all rice cultivars declined after RBSDV infection, with losses of up to 90.1% in AY, implying significant risks associated with the use of these popular rice varieties at present. ZJ201 displayed minimal reduction, and the difference in AY did not reach a significant level. These results confirmed that breeding resistant rice cultivars could minimize the yield losses caused by RBSDVD. The significant correlations detected between DI and yield reduction suggest that DI could serve as a good indicator for RBSDVD resistance levels and yield potentials.</p>
<p>The interaction between viruses and host plants adversely affects host morphology and physiology, leading to a decline in production. Rice yield is a complex trait determined by various components, primarily including the number of panicles per plant, the number of grains per panicle, and grain weight (Xing and Zhang, <xref ref-type="bibr" rid="B29">2010</xref>). These components were regulated by different genes or QTLs (Li et al., <xref ref-type="bibr" rid="B9">2000</xref>; Hittalmani et al., <xref ref-type="bibr" rid="B5">2003</xref>; Wang et al., <xref ref-type="bibr" rid="B24">2011</xref>; Huang et al., <xref ref-type="bibr" rid="B7">2013</xref>; Tan et al., <xref ref-type="bibr" rid="B17">2013</xref>; Yano et al., <xref ref-type="bibr" rid="B30">2016</xref>), implying their involvement in diverse pathways. However, little is known about which pathway is affected by RBSDV invasion. Among the yield components detected in this study, most of them were reduced, such as PL, SPP, RGPP, and TGW, compared to mock plants after RBSDV infection, suggesting that these components were significantly affected by RBSDV.</p>
<p>Two yield components, SSR and PPSM, did not show a reduction in all rice cultivars after RBSDV infection. SSR significantly declined at levels of <italic>P</italic> &#x0003C; 0.01 in H5, NJ5055, NJ9108, and WYJ27 and of <italic>P</italic> &#x0003C; 0.05 in SX867. However, in XD3, despite both SPP and RGPP being significantly affected by RBSDVD, the changes in SSR between mock and inoculated plants did not reach a significant level (<xref ref-type="fig" rid="F6">Figure 6B</xref>). The other component, PPSM, was significantly reduced in NJ5055 but dramatically increased in SX867, and no remarkable differences were detected in ZJ201, H5, NJ9108, XD3, and WYJ27 (<xref ref-type="fig" rid="F6">Figure 6D</xref>). These results suggested that the yield losses produced by RBSDVD were mainly due to the reduction in PL, SPP, RGPP, and TGW but not SSR and PPSM. Similar results were observed in wheat, where the yield component most severely affected by barley yellow dwarf virus infection was the number of kernels per spike, followed by kernel weight, while the tiller number was generally not altered by the infection (Hoffman and Kolb, <xref ref-type="bibr" rid="B6">1998</xref>). These results provided important clues for understanding the mechanisms of RBSDV invasion and its effects on rice after infection.</p>
<p>Active immune response in crops fighting pathogens may result in yield penalties (Wang J. et al., <xref ref-type="bibr" rid="B22">2018</xref>). A genome-wide association study was conducted to assess the association between rice blast disease resistance and yield-related components; the analysis results showed that shorter plants were significantly associated with resistance to blast. Additionally, rice genomes with resistance genes were linked to lighter seed weights, while susceptible alleles were associated with heavier seed weights (Wang et al., <xref ref-type="bibr" rid="B25">2015</xref>). In this study, we evaluated the rice line ZJ201, which carries the RBSDVD resistance gene <italic>OsAP47</italic>. The results indicated that ZJ201 did not have a notable negative effect on the main yield-contributing characters, for instance, SPP, RGPP, SSR, TGW, and PPSM, thereby producing a higher yield. These observations could facilitate the application of <italic>OsAP47</italic> to avoid yield losses caused by RBSDVD. In the future, quality traits will be evaluated for different rice cultivars after RBSDV infection, and ZJ201 will be assessed for its utilization in rice resistance breeding.</p></sec>
<sec id="s5">
<title>5 Conclusion</title>
<p>Rice yield could be significantly reduced by RBSDV infection, mainly by affecting PL, SPP, RGPP, and TGW. Among these, RGPP contributed the most to yield losses. Resistant rice lines could avoid yield losses by maintaining the normal development of these traits. ZJ201 could be promoted for planting in areas severely affected by RBSDVD or used as a resistance intermediate material in rice breeding.</p></sec>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p></sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>YS: Data curation, Writing &#x02013; original draft, Investigation. DJ: Resources, Writing &#x02013; original draft. JZ: Data curation, Writing &#x02013; original draft. LD: Investigation, Writing &#x02013; original draft. CL: Methodology, Writing &#x02013; original draft. YL: Resources, Writing &#x02013; original draft. FL: Conceptualization, Data curation, Investigation, Project administration, Supervision, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. TZ: Conceptualization, Funding acquisition, Project administration, Supervision, Writing &#x02013; review &#x00026; editing.</p></sec>
</body>
<back>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the National Natural Science Foundation of China (Grant No. 32372513), the Key Research and Development Program of Jiangsu Province (Grant No. BE2022369), and the Open Competition Mechanism to Select the Best Candidates Fund of Jiangsu Province (Grant No. JBGS[2021]008).</p>
</sec>
<ack><p>An antibody against RBSDV-CP was generously provided by Professor Jianxiang Wu from Zhejiang University, Zhejiang, China.</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s10">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2023.1323569/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2023.1323569/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Video_1.MP4" id="SM1" mimetype="video/mp4" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Video</label>
<caption><p>Performance of the seven rice cultivars at the jointing stage. Top: mock plants, bottom: artificially inoculated plants. From left to right: ZJ201, H5, NJ5055, NJ9108, XD3, WYJ27, and SX867.</p></caption> </supplementary-material></sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bailey-Serres</surname> <given-names>J.</given-names></name> <name><surname>Parker</surname> <given-names>J. E.</given-names></name> <name><surname>Ainsworth</surname> <given-names>E. A.</given-names></name> <name><surname>Oldroyd</surname> <given-names>G. E. D.</given-names></name> <name><surname>Schroeder</surname> <given-names>J. I.</given-names></name></person-group> (<year>2019</year>). <article-title>Genetic strategies for improving crop yields</article-title>. <source>Nature</source> <volume>575</volume>, <fpage>109</fpage>&#x02013;<lpage>118</lpage>. <pub-id pub-id-type="doi">10.1038/s41586-019-1679-0</pub-id><pub-id pub-id-type="pmid">31695205</pub-id></citation></ref>
<ref id="B2">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Buresh</surname> <given-names>R. J.</given-names></name> <name><surname>Correa Jr</surname> <given-names>T. Q.</given-names></name> <name><surname>Pabuayon</surname> <given-names>I. L. B.</given-names></name> <name><surname>Laureles</surname> <given-names>E. V.</given-names></name> <name><surname>Choi</surname> <given-names>I.-R.</given-names></name></person-group> (<year>2021</year>). <article-title>Yield of irrigated rice affected by asymptomatic disease in a long-term intensive monocropping experiment</article-title>. <source>Field Crops Res.</source> <volume>265</volume>, <fpage>108121</fpage>. <pub-id pub-id-type="doi">10.1016/j.fcr.2021.108121</pub-id></citation>
</ref>
<ref id="B3">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Feng</surname> <given-names>Z.</given-names></name> <name><surname>Kang</surname> <given-names>H.</given-names></name> <name><surname>Li</surname> <given-names>M.</given-names></name> <name><surname>Zou</surname> <given-names>L.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name> <name><surname>Zhao</surname> <given-names>J.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Identification of new rice cultivars and resistance loci against rice black-streaked dwarf virus disease through genome-wide association study</article-title>. <source>Rice</source> <volume>12</volume>, <fpage>49</fpage>. <pub-id pub-id-type="doi">10.1186/s12284-019-0310-1</pub-id><pub-id pub-id-type="pmid">31309320</pub-id></citation></ref>
<ref id="B4">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hibino</surname> <given-names>H.</given-names></name></person-group> (<year>1996</year>). <article-title>Biology and epidemiology of rice viruses</article-title>. <source>Annu. Rev. Phytopathol.</source> <volume>34</volume>, <fpage>249</fpage>&#x02013;<lpage>274</lpage>. <pub-id pub-id-type="doi">10.1146/annurev.phyto.34.1.249</pub-id><pub-id pub-id-type="pmid">15012543</pub-id></citation></ref>
<ref id="B5">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hittalmani</surname> <given-names>S.</given-names></name> <name><surname>Huang</surname> <given-names>N.</given-names></name> <name><surname>Courtois</surname> <given-names>B.</given-names></name> <name><surname>Venuprasad</surname> <given-names>R.</given-names></name> <name><surname>Shashidhar</surname> <given-names>H. E.</given-names></name> <name><surname>Zhuang</surname> <given-names>J. Y.</given-names></name> <etal/></person-group>. (<year>2003</year>). <article-title>Identification of QTL for growth- and grain yield-related traits in rice across nine locations of Asia</article-title>. <source>Theor. Appl. Genet.</source> <volume>107</volume>, <fpage>679</fpage>&#x02013;<lpage>690</lpage>. <pub-id pub-id-type="doi">10.1007/s00122-003-1269-1</pub-id><pub-id pub-id-type="pmid">12920521</pub-id></citation></ref>
<ref id="B6">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hoffman</surname> <given-names>T. K.</given-names></name> <name><surname>Kolb</surname> <given-names>F. L.</given-names></name></person-group> (<year>1998</year>). <article-title>Effects of Barley yellow dwarf virus on yield and yield components of drilled winter wheat</article-title>. <source>Plant Dis.</source> <volume>82</volume>, <fpage>620</fpage>&#x02013;<lpage>624</lpage>. <pub-id pub-id-type="doi">10.1094/PDIS.1998.82.6.620</pub-id><pub-id pub-id-type="pmid">30857010</pub-id></citation></ref>
<ref id="B7">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>R.</given-names></name> <name><surname>Jiang</surname> <given-names>L.</given-names></name> <name><surname>Zheng</surname> <given-names>J.</given-names></name> <name><surname>Wang</surname> <given-names>T.</given-names></name> <name><surname>Wang</surname> <given-names>H.</given-names></name> <name><surname>Huang</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2013</year>). <article-title>Genetic bases of rice grain shape: so many genes, so little known</article-title>. <source>Trends Plant Sci.</source> <volume>18</volume>, <fpage>218</fpage>&#x02013;<lpage>226</lpage>. <pub-id pub-id-type="doi">10.1016/j.tplants.2012.11.001</pub-id><pub-id pub-id-type="pmid">23218902</pub-id></citation></ref>
<ref id="B8">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>B.</given-names></name> <name><surname>Hong</surname> <given-names>Y.</given-names></name> <name><surname>Hong</surname> <given-names>S.</given-names></name> <name><surname>Park</surname> <given-names>S.</given-names></name> <name><surname>Lee</surname> <given-names>K.</given-names></name></person-group> (<year>2005</year>). <article-title>Occurrence and detection of rice black-streaked dwarf virus in Korea</article-title>. <source>Plant Pathol. J.</source> <volume>21</volume>, <fpage>172</fpage>&#x02013;<lpage>173</lpage>. <pub-id pub-id-type="doi">10.5423/PPJ.2005.21.2.172</pub-id></citation>
</ref>
<ref id="B9">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>J. X.</given-names></name> <name><surname>Yu</surname> <given-names>S. B.</given-names></name> <name><surname>Xu</surname> <given-names>C. G.</given-names></name> <name><surname>Tan</surname> <given-names>Y. F.</given-names></name> <name><surname>Gao</surname> <given-names>Y. J.</given-names></name> <name><surname>Li</surname> <given-names>X. H.</given-names></name> <etal/></person-group>. (<year>2000</year>). <article-title>Analyzing quantitative trait loci for yield using a vegetatively replicated F2 population from a cross between the parents of an elite rice hybrid</article-title>. <source>Theoret. Appl. Genet.</source> <volume>101</volume>, <fpage>248</fpage>&#x02013;<lpage>254</lpage>. <pub-id pub-id-type="doi">10.1007/s001220051476</pub-id></citation>
</ref>
<ref id="B10">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>X.</given-names></name> <name><surname>Lin</surname> <given-names>F.</given-names></name> <name><surname>Li</surname> <given-names>C.</given-names></name> <name><surname>Du</surname> <given-names>L.</given-names></name> <name><surname>Liu</surname> <given-names>Z.</given-names></name> <name><surname>Shi</surname> <given-names>W.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Golden 2-like transcription factor contributes to the major QTL against rice black-streaked dwarf virus disease</article-title>. <source>Theor. Appl. Genet.</source> <volume>135</volume>, <fpage>4233</fpage>&#x02013;<lpage>4243</lpage>. <pub-id pub-id-type="doi">10.1007/s00122-022-04214-9</pub-id><pub-id pub-id-type="pmid">36100693</pub-id></citation></ref>
<ref id="B11">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Matsukura</surname> <given-names>K.</given-names></name> <name><surname>Sanada-Morimura</surname> <given-names>S.</given-names></name> <name><surname>Fujii</surname> <given-names>T.</given-names></name> <name><surname>Matsumura</surname> <given-names>M.</given-names></name></person-group> (<year>2019</year>). <article-title>Potential risks of poaceous plants as infectious sources of rice black-streaked dwarf virus transmitted by the small brown planthopper, <italic>Laodelphax striatellus</italic></article-title>. <source>Plant Dis.</source> <volume>103</volume>, <fpage>1244</fpage>&#x02013;<lpage>1248</lpage>. <pub-id pub-id-type="doi">10.1094/PDIS-08-18-1340-RE</pub-id><pub-id pub-id-type="pmid">30964417</pub-id></citation></ref>
<ref id="B12">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ning</surname> <given-names>Y.</given-names></name> <name><surname>Liu</surname> <given-names>W.</given-names></name> <name><surname>Wang</surname> <given-names>G.-L.</given-names></name></person-group> (<year>2017</year>). <article-title>Balancing immunity and yield in crop plants</article-title>. <source>Trends Plant Sci.</source> <volume>22</volume>, <fpage>1069</fpage>&#x02013;<lpage>1079</lpage>. <pub-id pub-id-type="doi">10.1016/j.tplants.2017.09.010</pub-id><pub-id pub-id-type="pmid">29037452</pub-id></citation></ref>
<ref id="B13">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pan</surname> <given-names>C.</given-names></name> <name><surname>Li</surname> <given-names>A.</given-names></name> <name><surname>Chen</surname> <given-names>Z.</given-names></name> <name><surname>Wu</surname> <given-names>L.</given-names></name> <name><surname>Dai</surname> <given-names>Z.</given-names></name> <name><surname>Zhang</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2009</year>). <article-title>Detection of QTL for resistance to rice black-streaked dwarf viral disease</article-title>. <source>Acta Agron. Sinica</source> <volume>35</volume>, <fpage>2213</fpage>&#x02013;<lpage>2217</lpage>. <pub-id pub-id-type="doi">10.3724/SP.J.1006.2009.02213</pub-id></citation>
</ref>
<ref id="B14">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ren</surname> <given-names>Y.</given-names></name> <name><surname>Lu</surname> <given-names>C.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name></person-group> (<year>2016</year>). <article-title>Analysis of the reason for the outbreak epidemics of the rice black streaked dwarf disease: Kaifeng in Henan province as an example</article-title>. <source>Plant Prota</source> <volume>42</volume>, <fpage>8</fpage>&#x02013;<lpage>16</lpage>.</citation>
</ref>
<ref id="B15">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ruan</surname> <given-names>Y.</given-names></name> <name><surname>Chen</surname> <given-names>S.</given-names></name> <name><surname>Lin</surname> <given-names>R.</given-names></name> <name><surname>Jiang</surname> <given-names>W.</given-names></name> <name><surname>Jin</surname> <given-names>D.</given-names></name></person-group> (<year>1984</year>). <article-title>A study of rice black-streaked dwarf virus disease</article-title>. <source>Zhejiang Agric. Sci.</source> <volume>4</volume>, <fpage>185</fpage>&#x02013;<lpage>187</lpage>.</citation>
</ref>
<ref id="B16">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Song</surname> <given-names>X.</given-names></name> <name><surname>Meng</surname> <given-names>X.</given-names></name> <name><surname>Guo</surname> <given-names>H.</given-names></name> <name><surname>Cheng</surname> <given-names>Q.</given-names></name> <name><surname>Jing</surname> <given-names>Y.</given-names></name> <name><surname>Chen</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Targeting a gene regulatory element enhances rice grain yield by decoupling panicle number and size</article-title>. <source>Nat. Biotechnol.</source> <volume>40</volume>, <fpage>1403</fpage>&#x02013;<lpage>1411</lpage>. <pub-id pub-id-type="doi">10.1038/s41587-022-01281-7</pub-id><pub-id pub-id-type="pmid">35449414</pub-id></citation></ref>
<ref id="B17">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tan</surname> <given-names>C.</given-names></name> <name><surname>Han</surname> <given-names>Z.</given-names></name> <name><surname>Yu</surname> <given-names>H.</given-names></name> <name><surname>Zhan</surname> <given-names>W.</given-names></name> <name><surname>Xie</surname> <given-names>W.</given-names></name> <name><surname>Chen</surname> <given-names>X.</given-names></name> <etal/></person-group>. (<year>2013</year>). <article-title>QTL scanning for rice yield using a whole genome SNP array</article-title>. <source>J. Genet. Genom.</source> <volume>40</volume>, <fpage>629</fpage>&#x02013;<lpage>638</lpage>. <pub-id pub-id-type="doi">10.1016/j.jgg.2013.06.009</pub-id><pub-id pub-id-type="pmid">24377869</pub-id></citation></ref>
<ref id="B18">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>B.</given-names></name> <name><surname>Hu</surname> <given-names>J.</given-names></name> <name><surname>Sun</surname> <given-names>Z.</given-names></name> <name><surname>Song</surname> <given-names>Z.</given-names></name> <name><surname>Lu</surname> <given-names>B.</given-names></name> <name><surname>Zhou</surname> <given-names>Z.</given-names></name> <etal/></person-group>. (<year>2014</year>). <article-title>An evaluation system for rice black-streaked dwarf virus disease and screening for resistant rice germplasm</article-title>. <source>Acta Agron. Sinica</source> <volume>40</volume>, <fpage>1521</fpage>&#x02013;<lpage>1530</lpage>. <pub-id pub-id-type="doi">10.3724/SP.J.1006.2014.01521</pub-id></citation>
</ref>
<ref id="B19">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>B.</given-names></name> <name><surname>Smith</surname> <given-names>S. M.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name></person-group> (<year>2018</year>). <article-title>Genetic regulation of shoot architecture</article-title>. <source>Annu. Rev. Plant Biol.</source> <volume>69</volume>, <fpage>437</fpage>&#x02013;<lpage>468</lpage>. <pub-id pub-id-type="doi">10.1146/annurev-arplant-042817-040422</pub-id></citation>
</ref>
<ref id="B20">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>B. X.</given-names></name> <name><surname>Jiang</surname> <given-names>L.</given-names></name> <name><surname>Chen</surname> <given-names>L. M.</given-names></name> <name><surname>Lu</surname> <given-names>B. G.</given-names></name> <name><surname>Wang</surname> <given-names>Q.</given-names></name> <name><surname>Le</surname> <given-names>Q. T.</given-names></name> <etal/></person-group>. (<year>2010</year>). <article-title>Screening of rice resources against rice black-streaked dwarf virus and mapping of resistant QTL</article-title>. <source>Acta Agron. Sinica</source> <volume>36</volume>, <fpage>1258</fpage>&#x02013;<lpage>1264</lpage>. <pub-id pub-id-type="doi">10.3724/SP.J.1006.2010.01258</pub-id></citation>
</ref>
<ref id="B21">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>H. D.</given-names></name> <name><surname>Chen</surname> <given-names>J. P.</given-names></name> <name><surname>Wang</surname> <given-names>A. G.</given-names></name> <name><surname>Jiang</surname> <given-names>X. H.</given-names></name> <name><surname>Adams</surname> <given-names>M. J.</given-names></name></person-group> (<year>2009</year>). <article-title>Studies on the epidemiology and yield losses from rice black-streaked dwarf disease in a recent epidemic in Zhejiang province, China</article-title>. <source>Plant Pathol.</source> <volume>58</volume>, <fpage>815</fpage>&#x02013;<lpage>825</lpage>. <pub-id pub-id-type="doi">10.1111/j.1365-3059.2009.02091.x</pub-id></citation>
</ref>
<ref id="B22">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>J.</given-names></name> <name><surname>Zhou</surname> <given-names>L.</given-names></name> <name><surname>Shi</surname> <given-names>H.</given-names></name> <name><surname>Chern</surname> <given-names>M.</given-names></name> <name><surname>Yu</surname> <given-names>H.</given-names></name> <name><surname>Yi</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>A single transcription factor promotes both yield and immunity in rice</article-title>. <source>Science</source> <volume>361</volume>, <fpage>1026</fpage>&#x02013;<lpage>1028</lpage>. <pub-id pub-id-type="doi">10.1126/science.aat7675</pub-id><pub-id pub-id-type="pmid">30190406</pub-id></citation></ref>
<ref id="B23">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>P.</given-names></name> <name><surname>Liu</surname> <given-names>J.</given-names></name> <name><surname>Lyu</surname> <given-names>Y.</given-names></name> <name><surname>Huang</surname> <given-names>Z.</given-names></name> <name><surname>Zhang</surname> <given-names>X.</given-names></name> <name><surname>Sun</surname> <given-names>B.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>A review of vector-borne rice viruses</article-title>. <source>Viruses</source> <volume>14</volume>, <fpage>2258</fpage>. <pub-id pub-id-type="doi">10.3390/v14102258</pub-id><pub-id pub-id-type="pmid">36298813</pub-id></citation></ref>
<ref id="B24">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>P.</given-names></name> <name><surname>Zhou</surname> <given-names>G.</given-names></name> <name><surname>Yu</surname> <given-names>H.</given-names></name> <name><surname>Yu</surname> <given-names>S.</given-names></name></person-group> (<year>2011</year>). <article-title>Fine mapping a major QTL for flag leaf size and yield-related traits in rice</article-title>. <source>Theor. Appl. Genet.</source> <volume>123</volume>, <fpage>1319</fpage>&#x02013;<lpage>1330</lpage>. <pub-id pub-id-type="doi">10.1007/s00122-011-1669-6</pub-id><pub-id pub-id-type="pmid">21830109</pub-id></citation></ref>
<ref id="B25">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>X.</given-names></name> <name><surname>Jia</surname> <given-names>M. H.</given-names></name> <name><surname>Ghai</surname> <given-names>P.</given-names></name> <name><surname>Lee</surname> <given-names>F. N.</given-names></name> <name><surname>Jia</surname> <given-names>Y.</given-names></name></person-group> (<year>2015</year>). <article-title>Genome-wide association of rice blast disease resistance and yield-related components of rice</article-title>. <source>Mol. Plant Microbe Interact.</source> <volume>28</volume>, <fpage>1383</fpage>&#x02013;<lpage>1392</lpage>. <pub-id pub-id-type="doi">10.1094/MPMI-06-15-0131-R</pub-id><pub-id pub-id-type="pmid">26284908</pub-id></citation></ref>
<ref id="B26">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Z.</given-names></name> <name><surname>Zhou</surname> <given-names>L.</given-names></name> <name><surname>Lan</surname> <given-names>Y.</given-names></name> <name><surname>Li</surname> <given-names>X.</given-names></name> <name><surname>Wang</surname> <given-names>J.</given-names></name> <name><surname>Dong</surname> <given-names>J.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>An aspartic protease 47 causes quantitative recessive resistance to rice black-streaked dwarf virus disease and southern rice black-streaked dwarf virus disease</article-title>. <source>New Phytol.</source> <volume>233</volume>, <fpage>2520</fpage>&#x02013;<lpage>2533</lpage>. <pub-id pub-id-type="doi">10.1111/nph.17961</pub-id><pub-id pub-id-type="pmid">35015901</pub-id></citation></ref>
<ref id="B27">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wing</surname> <given-names>R. A.</given-names></name> <name><surname>Purugganan</surname> <given-names>M. D.</given-names></name> <name><surname>Zhang</surname> <given-names>Q.</given-names></name></person-group> (<year>2018</year>). <article-title>The rice genome revolution: from an ancient grain to Green Super Rice</article-title>. <source>Nat. Rev. Genet.</source> <volume>19</volume>, <fpage>505</fpage>&#x02013;<lpage>517</lpage>. <pub-id pub-id-type="doi">10.1038/s41576-018-0024-z</pub-id><pub-id pub-id-type="pmid">29872215</pub-id></citation></ref>
<ref id="B28">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname> <given-names>N.</given-names></name> <name><surname>Zhang</surname> <given-names>L.</given-names></name> <name><surname>Ren</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name></person-group> (<year>2020</year>). <article-title>Rice black-streaked dwarf virus: From multiparty interactions among plant-virus-vector to intermittent epidemics</article-title>. <source>Mol. Plant Pathol.</source> <volume>21</volume>, <fpage>1007</fpage>&#x02013;<lpage>1019</lpage>. <pub-id pub-id-type="doi">10.1111/mpp.12946</pub-id><pub-id pub-id-type="pmid">32510844</pub-id></citation></ref>
<ref id="B29">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xing</surname> <given-names>Y.</given-names></name> <name><surname>Zhang</surname> <given-names>Q.</given-names></name></person-group> (<year>2010</year>). <article-title>Genetic and molecular bases of rice yield</article-title>. <source>Annu. Rev. Plant Biol.</source> <volume>61</volume>, <fpage>421</fpage>&#x02013;<lpage>442</lpage>. <pub-id pub-id-type="doi">10.1146/annurev-arplant-042809-112209</pub-id><pub-id pub-id-type="pmid">20192739</pub-id></citation></ref>
<ref id="B30">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yano</surname> <given-names>K.</given-names></name> <name><surname>Yamamoto</surname> <given-names>E.</given-names></name> <name><surname>Aya</surname> <given-names>K.</given-names></name> <name><surname>Takeuchi</surname> <given-names>H.</given-names></name> <name><surname>Lo</surname> <given-names>P.-C.</given-names></name> <name><surname>Hu</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice</article-title>. <source>Nat. Genet.</source> <volume>48</volume>, <fpage>927</fpage>&#x02013;<lpage>934</lpage>. <pub-id pub-id-type="doi">10.1038/ng.3596</pub-id><pub-id pub-id-type="pmid">27322545</pub-id></citation></ref>
<ref id="B31">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>H.</given-names></name> <name><surname>Chen</surname> <given-names>J.</given-names></name> <name><surname>Lei</surname> <given-names>J.</given-names></name> <name><surname>Adams</surname> <given-names>M. J.</given-names></name></person-group> (<year>2001</year>). <article-title>Sequence analysis shows that a dwarfing disease on rice, wheat and maize in China is caused by rice black-streaked dwarf virus</article-title>. <source>Eur. J. Plant Pathol.</source> <volume>107</volume>, <fpage>563</fpage>&#x02013;<lpage>567</lpage>. <pub-id pub-id-type="doi">10.1023/A:1011204010663</pub-id></citation>
</ref>
<ref id="B32">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>H.</given-names></name> <name><surname>Ge</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>M.</given-names></name> <name><surname>Liu</surname> <given-names>J.</given-names></name> <name><surname>Si</surname> <given-names>H.</given-names></name> <name><surname>Zhang</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Mapping QTLs conferring resistance to rice black-streaked dwarf disease in rice (<italic>Oryza sativa</italic> L)</article-title>. <source>Euphytica</source> <volume>212</volume>, <fpage>323</fpage>&#x02013;<lpage>330</lpage>. <pub-id pub-id-type="doi">10.1007/s10681-016-1782-3</pub-id></citation>
</ref>
</ref-list>
</back>
</article>