Asymmetric Distribution of Gene Expression in the Centromeric Region of Rice Chromosome 5

Abstract

There is controversy as to whether gene expression is silenced in the functional centromere. The complete genomic sequences of the centromeric regions in higher eukaryotes have not been fully elucidated, because the presence of highly repetitive sequences complicates many aspects of genomic sequencing. We performed resequencing, assembly, and sequence finishing of two P1-derived artificial chromosome clones in the centromeric region of rice (Oryza sativa L.) chromosome 5 (Cen5). The pericentromeric region, where meiotic recombination is silenced, is located at the center of chromosome 5 and is 2.14 Mb long; a total of six restriction-fragment-length polymorphism markers (R448, C1388, S20487S, E3103S, C53260S, and R2059) genetically mapped at 54.6 cM were located in this region. In the pericentromeric region, 28 genes were annotated on the short arm and 45 genes on the long arm. To quantify all transcripts in this region, we performed massive parallel sequencing of mRNA. Transcriptional density (total length of transcribed region/length of the genomic region) and expression level (number of uniquely mapped reads/length of transcribed region) were calculated on the basis of the mapped reads on the rice genome. Transcriptional density and expression level were significantly lower in Cen5 than in the average of the other chromosomal regions. Moreover, transcriptional density in Cen5 was significantly lower on the short arm than on the long arm; the distribution of transcriptional density was asymmetric. The genomic sequence of Cen5 has been integrated into the most updated reference rice genome sequence constructed by the International Rice Genome Sequencing Project.

Introduction

The centromere is essential for the correct segregation of chromosomes in dividing cells. The functional centromere complex is composed of proteins binding to highly repetitive centromere-specific DNA sequences (Houben and Schubert, 2003; Dawe and Hiatt, 2004; Hall et al., 2004; Sharma and Raina, 2005; Lamb et al., 2007; Ma et al., 2007; Gill et al., 2008). Centromere-specific histone-H3-like protein (CENH3) defines the boundaries of the functional centromeric region of DNA; CENH3 replaces the canonical histone H3 to form a specific type of nucleosome that is essential for kinetochore formation (Henikoff et al., 2001; Blower et al., 2002). The kinetochore links the chromosome to microtubule polymers, which are attached to the mitotic spindle during mitosis and meiosis.

However, the genomic sequences of the centromeric regions are diverse and have not yet been fully elucidated in higher eukaryotes, even in the case of the so-called “completely sequenced” genomes (Hosouchi et al., 2002; Mizuno et al., 2008b; Torras-Llort et al., 2009; Buscaino et al., 2010). Because the presence of highly repetitive sequences complicates many aspects of genomic sequencing (including cloning, mapping, chromosome walking, and computer-assisted assembly of the fragments of DNA sequences), sequencing of the centromeric regions of higher eukaryotes is extremely difficult.

Nevertheless, substantial progress in sequencing of the centromere region has been made in rice (Oryza sativa L.). As some rice centromeres have exceptionally small numbers of tandem repeats (IRGSP, 2005), rice is suitable for the comprehensive analysis of centromeric sequence composition and organization in eukaryotes. From 1998 to 2004, the International Rice Genome Sequencing Project (IRGSP) succeeded in constructing a P1-derived artificial chromosome (PAC) and bacterial artificial chromosome (BAC) clone contig including the centromere regions of three chromosomes. Initial Sanger dideoxy sequencing of these clones revealed, for the first time, the overall structure of the centromeric regions of higher eukaryotes (IRGSP, 2005). To date, of the 12 rice chromosome centromeric regions, Cen3 (containing gaps; Yan et al., 2006), Cen4 (Zhang et al., 2004), and Cen8 (Wu et al., 2004) have been almost completely sequenced. In the case of Cen5, a PAC/BAC contig has been constructed by chromosome walking (Cheng et al., 2005); however, the contig is only partially sequenced (IRGSP, 2005).

In the core region of each rice centromere is a tandem array of a key sequence, the 155-bp RCS2/CentO sequence (Dong et al., 1998). Around the RCS2/CentO array is distributed the pericentromeric region in which meiotic recombination is suppressed. Genes have been computationally predicted in pericentromeric regions (Nagaki et al., 2004; Wu et al., 2004). Twenty-seven of the predicted genes in Cen8 are conserved in the japonica rice Nipponbare and the indica rice Kasalath (Wu et al., 2009). Although the centromere has been considered to be a highly heterochromatic and transcriptionally silent chromosomal domain, active genes have been found in the 750-kb core domain of Cen8 (Nagaki et al., 2004). There is therefore controversy as to whether gene expression is silenced in the functional centromere. To assess the functional importance of the expression of these centromeric genes, it is important to characterize them and quantify their transcripts.

Here, we performed sequence improvement and comprehensive expression analysis of rice Nipponbare chromosome 5 at single-nucleotide resolution. First, we used a Sanger sequencing-based finishing procedure to bridge the short and long arm chromosome 5 sequences in the public reference rice genome sequence constructed by the IRGSP. Second, we applied Illumina massive parallel sequencing technology to mRNA sequencing, revealing the distribution of gene expression in Cen5. We discovered that the distribution was asymmetric. We discuss the importance of gene expression in centromeric regions and the evolutionary history of the asymmetric distribution of expressed genes in Cen5.

Materials and Methods

Sequence improvement of PAC/BAC clones by using a finishing procedure

P1-derived artificial chromosome (P) and BAC (B) libraries were constructed from genomic DNA derived from the rice cultivar Nipponbare (JP 229579 in the National Institute of Agrobiological Sciences Genebank; O. sativa L. ssp. japonica) and generated by the Rice Genome Research Program of Japan. The BAC library (OSJNBa) was constructed by the Arizona Genomics Institute (Ammiraju et al., 2006). Details of the method used for Southern hybridization and PCR screening of the PAC/BAC libraries have been given previously (Wu et al., 2003). Two PAC clones (P0587F01, P0697B04) were resequenced in accordance with the IRGSP sequencing guidelines (IRGSP, 2005). Briefly, about 2000 subclone plasmid libraries from each PAC clone were end-sequenced, and these sequences were assembled with Phred–Phrap software. For the gap regions within PAC/BAC clones, bridging subclones were fully sequenced by primer walking. To resolve misassembly in the repeat regions, several subclones (~7 kb) were fully sequenced, and these continuous sequences were used as a guide for the reassembly process. Finally, the clone sequences were combined, taking into account overlaps.

Preparation of cDNA, illumina sequencing, and mapping of short reads

Nipponbare rice was grown in a growth chamber at 28°C. After the seedlings had been grown for 7 days, total RNA was extracted from the shoots and roots by using an RNeasy Plant Kit (Qiagen, Hilden, Germany). RNA quality was calculated by using a Bioanalyzer 2100 algorithm (Agilent Technologies, USA); high-quality RNA (RNA integrity number >8) was used. Oligo(dT) magnetic beads were used to isolate poly(A) RNA from the total RNA samples. Poly(A) RNA was converted to cDNA for massive parallel sequencing in an Illumina Genome Analyzer IIx (Illumina, San Diego, CA, USA), in accordance with the protocol for the mRNA-Seq sample preparation kit (Illumina). All primary mRNA sequence read data had been previously submitted to the DNA Data Bank of Japan (DDBJ; DRA000159; Mizuno et al., 2010). Normal shoot and normal root reads that passed the filter were mapped onto the Nipponbare reference genome (Build 5.0) by using Bowtie (version 0.12.7; Langmead et al., 2009) and TopHat (version 1.2.0; Trapnell et al., 2009) software, with the default parameters. Uniquely mapped reads were used for further analysis. Differences in transcriptional density [total length of transcribed region (bp)/length of the genomic region (bp)] and expression level [number of uniquely mapped reads/length of transcribed region (bp)] were assessed statistically by Fisher's exact test. The length of the genomic region was calculated on the basis of the Nipponbare reference genomic sequence (Build 5.0). A “transcribed region” was defined as a region in which at least one read derived from mRNA was mapped.

Results

Genomic sequencing of Cen5

P1-derived artificial chromosome/BAC clone-based sequencing was adopted for genomic sequencing of Cen5. A PAC/BAC contig was constructed by chromosome walking to cover the genetically defined centromeric region of chromosome 5 (Cheng et al., 2005). The PAC/BAC contig was mapped by using restriction-fragment length polymorphism (RFLP) markers S20487S and E3103S, located on the short and long arms, respectively, of chromosome 5 at 54.6 cM; the contig bridged the sequence between the short and long arms of chromosome 5 (Figure 1). Because a version of the sequences of two PAC clones (P0587F01, P0697B04) had already been published in draft status, these clones were divided into a number of pieces (12 in the case of AC146339 and 7 for AC137984; Table 1). To obtain more accurate information on Cen5, these PAC clones were resequenced by Sanger-based sequencing technology, reassembled, and finished (see Materials and Methods). Clone P0587F01 was reassembled into one contig and the sequence was submitted to the PLN (plant, fungal, and algal sequences) division of DDBJ (52,858 bp, AP011109; Table 1). In the case of P0697B04, all the gaps were filled, but because the center of this clone was occupied by the RCS2/CentO repeats the exact number and orientation of RCS2/CentO repeats were not determined; the sequence was submitted as an incomplete status high-throughput genomic sequence (HTGS)_PHASE2 (147,577 bp, AP011110; Table 1). Cen5 had two different-sized clusters of 155-bp RCS2/CentO satellite repeats (Figure 1). After removing redundant sequences from the regions overlapping between the neighboring PAC/BAC clones, we generated a continuous, high-quality DNA sequence covering the entire region of Cen5. The genomic sequence of Cen5 was integrated into the latest reference genomic sequence of rice constructed by the IRGSP (IRGSP Build 5.0 pseudomolecules).

Figure 1

Identification of expressed region by using mRNA-SEQ

We defined pericentromeric regions as recombinational cold spots proximal to RCS2/CentO, as in a previous rice analysis (Wu et al., 2003). A total of six RFLP markers (R448, C1388, S20487S, E3103S, C53260S, and R2059) genetically mapped at 54.6 cM were located in the 2.14-Mb defined as the pericentromeric region of chromosome 5 (Figure 2). A total of five RFLP markers (R288, S2106, C53648S, C1794, and C954) were mapped at 19.6 cM in the 2.09-Mb pericentromeric region of Cen4 (Figure A1A in Appendix); and a total of six RFLP markers (C1374, R2381, E20691S, S21882S, C1115, and R2466) were mapped at 54.3 cM in the 2.43-Mb pericentromeric region of Cen8 (Figure A1B in Appendix).

Figure 2

2002). The graph indicates the average depths of reads from mRNA-Seq for samples obtained from shoots (green) or roots (red). Only depths <50 are shown (Depths ≥50 are shown as 50). The level of expression is normalized to that of the shoot (standard). Gene models based on Rice Annotation Project (RAP) representative loci (RAP_rep) and RAP predicted genes (RAP_pred) are shown. Expression of an RAP predicted gene is shown (white triangle). The position of Os05g0303000, a homolog of the wheat PSR161 gene mapped on wheat Cen1B (see text), is also indicated (black triangle). Red boxes represent RCS2/CentO clusters.

We compared the averages of gene density, transcriptional density, and expression level in the centromeric region with those in other chromosomal regions. The average gene density in the centromeric region was the lowest in the whole chromosomal region (Figure 3). The average transcriptional density in the centromeric region was lower than that in other chromosomal regions, but the average expression level in the centromeric region was not (Figure 3). Gene expression in the centromeric region was compared by statistical analysis, which was independent of gene annotation. First, transcriptional density was compared. The transcriptional density of Cen5 was 0.070 (shoot) and 0.065 (root), whereas that of the other regions of the same chromosome was 0.168 (shoot) and 0.170 (root); transcriptional density was significantly lower (P < 0.0001) in Cen5 than in the average of the other regions by Fisher's exact test (Table 2). The transcriptional densities in Cen4 and Cen8 were also significantly lower than in the averages of the other regions (Table 2). Second, expression level was compared. The expression level in Cen5 was 234.4 (shoot) and 177.5 (root), whereas that in the other regions was 264.8 (shoot) and 239.5 (root); the expression level in Cen5 was significantly lower than that in the other regions (P < 0.0001). However, in Cen4, expression of the gene Os04g0234600 (similar DNA sequence to that encoding sedoheptulose-bisphosphatase) was extremely high in the shoot (Figure A1A in Appendix), resulting in a high average expression level in Cen4 (data not shown). With the exception of the expression of Os04g0234600 in Cen4, expression levels were also significantly lower in Cen4 and Cen8 than in the other regions (Table 2). Thus, gene expression (transcriptional density and expression level) was significantly lower in the centromeric region than in the other regions.

Figure 3

We also compared transcription in the short and long arms in the pericentromeric regions. In Cen5, transcriptional density was 0.039 (shoot) and 0.035 (root) on the short arm and 0.110 (shoot), 0.103 (root) on the long arm. Transcriptional density was significantly (P < 0.0001) lower on the short arm than on the long arm by Fisher's exact test (Table 3); the distribution of transcriptional density was asymmetric in Cen5. The expression level of Cen5 in shoots was significantly (P < 0.0001) lower on the short arm than on the long arm, whereas the expression level of Cen5 in roots was significantly (P < 0.0001) lower on the long arm than on the short arm (Table 3). Thus, the distribution of expression level of Cen5 was asymmetric, but the tendency was in the opposite directions in the shoots and roots.

Characterization of genes expressed in Cen5

The annotated genes in Cen5 were characterized by using the Rice Annotation Project Database (RAP-DB; Rice_Annotation_Project, 2008); 28 genes were annotated in the pericentromeric region on the short arm of Cen5 (~1.06 Mb), whereas 45 genes were annotated on the long arm (~0.978 Mb; Table A1 in Appendix; Table 3). On the short arm close to RCS2/CentO (C1388 to S20487S), most of the genes encoding hypothetical proteins were hardly expressed (Table A1 in Appendix). On the long arm, genes encoding proteins similar to transcription factor IIA large subunit (Os05g0292200), acetyl-coenzyme A carboxylase (Os05g0295300), glyoxalase I (Os05g0295800), and zinc-finger-like protein (Os05g0299700) were expressed at relatively high levels (RPKM > 20; Table A1 in Appendix) in both shoots and roots. Analysis of the mapped reads also gave evidence of the expression of genes computationally predicted by the RAP (Figure 2). A non-protein-coding transcript (Os05g0296600) was also expressed (Table A1 in Appendix). Most of the genes highly expressed on the long arm were similar to genes encoding functional – not hypothetical – proteins.

The distribution of transcription of each gene was identified by using Illumina mRNA-Seq technology. We adopted the RPKM (reads per kilobase of exon models per million mapped reads) method (Mortazavi et al., 2008) for transcript quantification on the basis of the number of sequence reads mapped on each gene. The RPKM and signal intensity from microarray analysis of the same RNA materials as used in this study had been compared previously; these two independent measures of transcript abundance were correlated (r = 0.75–0.77; Mizuno et al., 2010). Dot plot analysis of the RPKM and the chromosomal position of each gene suggested that gene expression was low in the centromeric regions (Figure 4).

Figure 4

A putative gene conserved in the rice centromere and wheat centromere was found: Os05g0303000 was mapped only 90 kb distal to the marker R2059 on Cen5 and was highly expressed in shoots and roots (Figure 2). Os05g0303000 had 82.6% DNA sequence identity to PSR161 (data not shown). PSR161 is the only actively transcribed gene that has been mapped on the functional centromere of wheat chromosome 1B (Francki et al., 2002), suggesting that the location of this homolog is conserved in rice Cen5 and wheat Cen1B.

Discussion

Gene expression in pericentromeric regions

To assess the functional importance of gene expression in the centromeric region, we performed genomic sequencing of Cen5 (Figure 1; Table 1) and expression analysis (Figure 2). Gene expression (transcriptional density and expression level) was significantly lower in the pericentromeric regions of Cen4, Cen5, and Cen8 than in the other regions (Table 2; Figures 3 and 4). Low transcriptional density could be partly explained by the low gene density (Figure 3), as centromeric regions contain repetitive sequences such as the centromere-specific retrotransposon RIRE7/CRR and the tandem repetitive sequence RCS2/CentO. The high expression observed only under specific conditions (e.g., of Os04g0234600 in shoots, Figure A1A in Appendix) could be explained by the occurrence of permissive transcriptional activity through pockets of DNA hypomethylation (Wong et al., 2006) and/or mosaics of histone modification in the centromeric region (Stimpson and Sullivan, 2010): the presence of methylated histone H3 at Lys9 leads to heterochromatin assembly, whereas methylated histone H3 at Lys4 leads to euchromatin assembly. Thus, gene expression was generally low in the centromeric region, but the suppression could be selectively released in specific tissues and under specific cell conditions.

The distribution of gene expression was asymmetric in Cen5: genes were rarely expressed on the short arm and highly expressed on the long arm (Figure 2; Table 3). The size of the rarely expressed region C1388 to S20487S (~700 kb; Figure 2) was almost the same as that of the kinetochore region on Cen8 (750 kb; Nagaki et al., 2004; Wu et al., 2004), suggesting that these rarely expressed gene regions are related to the formation of kinetochores in Cen5. In the 700-kb region, most of the genes were annotated as hypothetical and were hardly expressed (Table A1 in Appendix), suggesting that these genes do not have specific functions. On the long arm of Cen5, genes with similarity to those encoding known functional proteins were highly expressed (RPKM > 20; Table A1 in Appendix); the statistical median of the RPKM for all RAP2 annotated genes was 3.399 in the shoots and 4.241 in the roots (Mizuno et al., 2010). Moreover, rice Os05g0303000 had a DNA sequence similar to that of wheat PSR161. Os05g0303000 and PSR161 have been mapped in the centromeric regions of rice Cen5 (Figure 2) and wheat Cen1B (Francki et al., 2002), respectively; their chromosomal positions are consistent with the chromosomal synteny between these two crops (Devos, 2005). The results of application of a molecular–cytogenetic method have also suggested synteny between the centromeric regions of wheat and rice (Qi et al., 2009). PSR161 encodes HSP70, which is thought to function as a molecular chaperone. As HSP70 is also conserved in Pisum sativum, Cucumis sativus, Spinacia oleracea, and Chlamydomonas reinhardtii (Francki et al., 2002), HSP70 gene silencing is likely to have serious effects. Therefore, because of the existence of highly expressed regions proximal to RCS2/CentO on the long arm, including the conserved HSP70 homolog, we consider that kinetochore formation on Cen5 on an evolutionary time scale was restricted to the short arm.

The RCS2/CentO sequence is tandemly arrayed in the core region of Cen5. The length of a unit of rice RCS2/CentO is 155 bp (Dong et al., 1998); this length is considered to be related to the formation of the nucleosomal unit required for kinetochore formation (Houben and Schubert, 2003; Dawe and Hiatt, 2004; Ma et al., 2007). Cen5 had two clusters of RCS2/CentO repeats (Figure A2 in Appendix). In comparison, Cen8 has three large clusters (Wu et al., 2004) and Cen4 has 18 clusters (Zhang et al., 2004); thus the amount and organization of RCS2/CentO clusters differ markedly among Cen4, Cen5, and Cen8 (Figure A2 in Appendix). No genes were annotated (Figure A2 in Appendix), and expression was hardly detected, in the sequence separating the RCS2/CentO arrays (Table 2), suggesting that gene expression did not occur in the core region of the centromeric region. The sequences separating the RCS2/CentO array are derived from repetitive sequences, such as the centromere-specific gypsy-like retrotransposon RIRE7 (Kumekawa et al., 2001), that are fragmented and have nucleotide substitutions (Wu et al., 2004; Zhang et al., 2004). Even though Cen8 has other small RCS2/CentO sequences that have the Os08g0319450 gene within the RCS2/CentO array, Os08g0319450 was not expressed in the shoots or roots (Figure A1B in Appendix). Therefore, the region separating the RCS2/CentO array had little expression activity.

Remaining gap in the reference rice genome sequence

The published rice genomic sequence covers 95.3% of the estimated 390-Mb total genome sequence, and it contains 36 gaps (IRGSP, 2005). The 36 gaps have been gradually sequenced since the completion of the IRGSP. This sequencing has included telomeres, subtelomeres, and the ribosomal DNA cluster (Mizuno et al., 2008a). However, the latest rice genomic sequence contains only a portion of the centromeric regions. Here, we performed resequencing, assembly, and finishing of PAC clones in rice Cen5 (Figure 1; Table 1). In the remaining centromeric regions of rice chromosomes, interference by repetitive sequences has prevented further chromosome walking and subsequent genomic sequencing (Wu et al., 2003; IRGSP, 2005). In an in situ hybridization analysis, unsequenced centromeres had relatively large clusters of repetitive sequences (Cheng et al., 2002). Moreover, RCS2/CentO repetitive DNA inserted into PAC/BAC clones is easily deleted: 47.2% of centromeric PAC clones have inserts <60 kb in length, compared with 13.6% in the total library (Mizuno et al., 2006), suggesting that these clones are unstable in Escherichia coli. Thus, complete genomic sequencing of the remaining centromeric regions will be a challenging problem.

Our work has primarily helped to bridge the short arm and long arm of chromosome 5 of the reference rice genome sequence constructed by the IRGSP. By using the reference genomic sequence, massive parallel sequencing of mRNA was used to generate transcript maps. Recently, the massive parallel sequencing technique has also been applied to the analysis of DNA methylation, histone modification, and protein binding. Thus, high-quality reference genomic sequencing will play pivotal roles in further sequence-based functional analysis of centromeric regions in the next-generation sequencing era.

References

• 1

  AmmirajuJ. S.LuoM.GoicoecheaJ. L.WangW.KudrnaD.MuellerC.TalagJ.KimH.SisnerosN. B.BlackmonB.FangE.TomkinsJ. B.BrarD.MacKillD.McCouchS.KurataN.LambertG.GalbraithD. W.ArumuganathanK.RaoK.WallingJ. G.GillN.YuY.SanMiguelP.SoderlundC.JacksonS.WingR. A. (2006). The Oryza bacterial artificial chromosome library resource: construction and analysis of 12 deep-coverage large-insert BAC libraries that represent the 10 genome types of the genus Oryza. Genome Res.16, 140–147.10.1101/gr.3766306

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 2

  BlowerM. D.SullivanB. A.KarpenG. H. (2002). Conserved organization of centromeric chromatin in flies and humans. Dev. Cell2, 319–330.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 3

  BuscainoA.AllshireR.PidouxA. (2010). Building centromeres: home sweet home or a nomadic existence?Curr. Opin. Genet. Dev.20, 118–126.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 4

  ChengC. H.ChungM. C.LiuS. M.ChenS. K.KaoF. Y.LinS. J.HsiaoS. H.TsengI. C.HsingY. I.WuH. P.ChenC. S.ShawJ. F.WuJ.MatsumotoT.SasakiT.ChenH. H.ChowT. Y. (2005). A fine physical map of the rice chromosome 5. Mol. Genet. Genomics274, 337–345.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 5

  ChengZ.DongF.LangdonT.OuyangS.BuellC. R.GuM.BlattnerF. R.JiangJ. (2002). Functional rice centromeres are marked by a satellite repeat and a centromere-specific retrotransposon. Plant Cell14, 1691–1704.10.1105/tpc.003079

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 6

  DaweR. K.HiattE. N. (2004). Plant neocentromeres: fast, focused, and driven. Chromosome Res.12, 655–669.10.1023/B:CHRO.0000036607.74671.db

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 7

  DevosK. M. (2005). Updating the “crop circle”. Curr. Opin. Plant Biol.8, 155–162.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 8

  DongF.MillerJ. T.JacksonS. A.WangG. L.RonaldP. C.JiangJ. (1998). Rice (Oryza sativa) centromeric regions consist of complex DNA. Proc. Natl. Acad. Sci. U.S.A.95, 8135–8140.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 9

  FranckiM. G.BerzonskyW. A.OhmH. W.AndersonJ. M. (2002). Physical location of a HSP70 gene homologue on the centromere of chromosome 1B of wheat (Triticum aestivum L.). Theor. Appl. Genet.104, 184–191.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 10

  GillN.HansC. S.JacksonS. (2008). An overview of plant chromosome structure. Cytogenet. Genome Res.120, 194–201.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 11

  HallA. E.KeithK. C.HallS. E.CopenhaverG. P.PreussD. (2004). The rapidly evolving field of plant centromeres. Curr. Opin. Plant Biol.7, 108–114.

  • Pubmed Abstract
  • Google Scholar

• 12

  HenikoffS.AhmadK.MalikH. S. (2001). The centromere paradox: stable inheritance with rapidly evolving DNA. Science293, 1098–1102.10.1126/science.1062939

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 13

  HosouchiT.KumekawaN.TsuruokaH.KotaniH. (2002). Physical map-based sizes of the centromeric regions of Arabidopsis thaliana chromosomes 1, 2, and 3. DNA Res.9, 117–121.10.1093/dnares/9.4.117

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 14

  HoubenA.SchubertI. (2003). DNA and proteins of plant centromeres. Curr. Opin. Plant Biol.6, 554–560.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 15

  IRGSP. (2005). The map-based sequence of the rice genome. Nature436, 793–800.10.1038/nature03895

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 16

  KumekawaN.OhmidoN.FukuiK.OhtsuboE.OhtsuboH. (2001). A new gypsy-type retrotransposon, RIRE7: preferential insertion into the tandem repeat sequence TrsD in pericentromeric heterochromatin regions of rice chromosomes. Mol. Genet. Genomics265, 480–488.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 17

  LambJ. C.YuW.HanF.BirchlerJ. A. (2007). Plant chromosomes from end to end: telomeres, heterochromatin and centromeres. Curr. Opin. Plant Biol.10, 116–122.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 18

  LangmeadB.TrapnellC.PopM.SalzbergS. L. (2009). Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol.10, R25.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 19

  MaJ.WingR. A.BennetzenJ. L.JacksonS. A. (2007). Plant centromere organization: a dynamic structure with conserved functions. Trends Genet.23, 134–139.10.1016/j.tig.2007.01.004

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 20

  MizunoH.ItoK.WuJ.TanakaT.KanamoriH.KatayoseY.SasakiT.MatsumotoT. (2006). Identification and mapping of expressed genes, simple sequence repeats and transposable elements in centromeric regions of rice chromosomes. DNA Res.13, 267–274.10.1093/dnares/dsm001

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 21

  MizunoH.KawaharaY.SakaiH.KanamoriH.WakimotoH.YamagataH.OonoY.WuJ.IkawaH.ItohT.MatsumotoT. (2010). Massive parallel sequencing of mRNA in identification of unannotated salinity stress-inducible transcripts in rice (Oryza sativa L.). BMC Genomics11, 683.10.1186/1471-2164-11-683

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 22

  MizunoH.SasakiT.MatsumotoT. (2008a). Characterization of internal structure of the nucleolar organizing region in rice (Oryza sativa L.). Cytogenet. Genome Res.121, 282–285.10.1159/000138898

  • CrossRef
  • Google Scholar
  • View reference in article

• 23

  MizunoH.WuJ.KatayoseY.KanamoriH.SasakiT.MatsumotoT. (2008b). Characterization of chromosome ends on the basis of the structure of TrsA subtelomeric repeats in rice (Oryza sativa L.). Mol. Genet. Genomics280, 19–24.10.1007/s00438-008-0341-6

  • CrossRef
  • Google Scholar
  • View reference in article

• 24

  MortazaviA.WilliamsB. A.McCueK.SchaefferL.WoldB. (2008). Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat. Methods5, 621–628.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 25

  NagakiK.ChengZ.OuyangS.TalbertP. B.KimM.JonesK. M.HenikoffS.BuellC. R.JiangJ. (2004). Sequencing of a rice centromere uncovers active genes. Nat. Genet.36, 138–145.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 26

  QiL.FriebeB.ZhangP.GillB. S. (2009). A molecular-cytogenetic method for locating genes to pericentromeric regions facilitates a genomewide comparison of synteny between the centromeric regions of wheat and rice. Genetics183, 1235–1247.10.1534/genetics.109.107409

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 27

  Rice_Annotation_Project. (2008). The Rice Annotation Project Database (RAP-DB): 2008 update. Nucleic Acids Res.36, D1028–D1033.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 28

  SharmaS.RainaS. N. (2005). Organization and evolution of highly repeated satellite DNA sequences in plant chromosomes. Cytogenet. Genome Res.109, 15–26.

  • Pubmed Abstract
  • Google Scholar
  • View reference in article

• 29

  SteinL. D.MungallC.ShuS.CaudyM.MangoneM.DayA.NickersonE.StajichJ. E.HarrisT. W.ArvaA.LewisS. (2002). The generic genome browser: a building block for a model organism system database. Genome Res.12, 1599–1610.10.1101/gr.403602

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 30

  StimpsonK. M.SullivanB. A. (2010). Epigenomics of centromere assembly and function. Curr. Opin. Cell Biol.22, 772–780.

  • Pubmed Abstract
  • Google Scholar

• 31

  Torras-LlortM.Moreno-MorenoO.AzorinF. (2009). Focus on the centre: the role of chromatin on the regulation of centromere identity and function. EMBO J.28, 2337–2348.10.1038/emboj.2009.174

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 32

  TrapnellC.PachterL.SalzbergS. L. (2009). TopHat: discovering splice junctions with RNA-Seq. Bioinformatics25, 1105–1111.10.1093/bioinformatics/btp120

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 33

  WongN. C.WongL. H.QuachJ. M.CanhamP.CraigJ. M.SongJ. Z.ClarkS. J.ChooK. H. (2006). Permissive transcriptional activity at the centromere through pockets of DNA hypomethylation. PLoS Genet.2, e17.10.1371/journal.pgen.0020017

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 34

  WuJ.FujisawaM.TianZ.YamagataH.KamiyaK.ShibataM.HosokawaS.ItoY.HamadaM.KatagiriS.KuritaK.YamamotoM.KikutaA.MachitaK.KarasawaW.KanamoriH.NamikiN.MizunoH.MaJ.SasakiT.MatsumotoT. (2009). Comparative analysis of complete orthologous centromeres from two subspecies of rice reveals rapid variation of centromere organization and structure. Plant J.60, 805–819.10.1111/j.1365-313X.2009.04002.x

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 35

  WuJ.MizunoH.Hayashi-TsuganeM.ItoY.ChidenY.FujisawaM.KatagiriS.SajiS.YoshikiS.KarasawaW.YoshiharaR.HayashiA.KobayashiH.ItoK.HamadaM.OkamotoM.IkenoM.IchikawaY.KatayoseY.YanoM.MatsumotoT.SasakiT. (2003). Physical maps and recombination frequency of six rice chromosomes. Plant J.36, 720–730.10.1046/j.1365-313X.2003.01903.x

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 36

  WuJ.YamagataH.Hayashi-TsuganeM.HijishitaS.FujisawaM.ShibataM.ItoY.NakamuraM.SakaguchiM.YoshiharaR.KobayashiH.ItoK.KarasawaW.YamamotoM.SajiS.KatagiriS.KanamoriH.NamikiN.KatayoseY.MatsumotoT.SasakiT. (2004). Composition and structure of the centromeric region of rice chromosome 8. Plant Cell16, 967–976.10.1105/tpc.019273

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 37

  YanH.ItoH.NobutaK.OuyangS.JinW.TianS.LuC.VenuR. C.WangG. L.GreenP. J.WingR. A.BuellC. R.MeyersB. C.JiangJ. (2006). Genomic and genetic characterization of rice Cen3 reveals extensive transcription and evolutionary implications of a complex centromere. Plant Cell18, 2123–2133.10.1105/tpc.106.043794

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 38

  ZhangY.HuangY.ZhangL.LiY.LuT.LuY.FengQ.ZhaoQ.ChengZ.XueY.WingR. A.HanB. (2004). Structural features of the rice chromosome 4 centromere. Nucleic Acids Res.32, 2023–2030.10.1093/nar/gkh521

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article