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Front. Plant Sci. | doi: 10.3389/fpls.2018.01880

Selection of transcripts affecting initial growth rate of rice backcrossed inbred lines using RNA sequencing data

  • 1National Agriculture and Food Research Organization (NARO), Japan
  • 2Graduate School of Agricultural and Life Sciences,The University of Tokyo, Japan
  • 3Toyota Motor Corporation (Japan), Japan
  • 4Kyushu Okinawa Agricultural Research Center, National Agriculture and Food Research Organization (NARO), Japan
  • 5Faculty of Agriculture, Ryukoku University, Japan

Seedling growth is an important factor for direct seeding of rice. However, the genetic and transcriptomic factors involved in this process are largely unknown. In this study, transcripts affecting shoot weight were identified in rice (Oryza sativa L.) using RNA sequencing data from 20 backcrossed inbred lines (BILs) and their parental cultivars. The selection frequency of the genes for the regression model was determined using repeated analysis of random subsets of the transcriptome. The qLTG3-1gene, controlling low-temperature germinability, and short grain 1 gene (SG1), known to decrease organ elongation, showed high frequency. The quantitative trait loci (QTLs) analysis performed for BILs revealed that qLTG3-1 was included in the QTLs for shoot weight but SG1 was not. No nucleotide polymorphisms were found in the coding region of SG1 in either of the parental cultivars. Quantitative real-time PCR showed that SG1 expression was negatively correlated with shoot weight for all 104 BILs analyzed in this study. Expression QTL (eQTLs) analysis showed an eQTL for SG1 expression located in the same region as the QTL for shoot weight. However, no eQTLs were detected on the same chromosome as SG1, suggesting that nucleotide polymorphisms around the gene do not affect its expression in analyzed growth stage. Overall, these results indicate that RNA sequencing is a useful tool for identifying transcripts that can be related to seedling growth rate.

Keywords: eQTL, LASSO, QTL, RNA-Seq, seedling vigor, SG1, Transcriptome, BIL, Oryza sativa, qLTG3-1

Received: 19 Jul 2018; Accepted: 05 Dec 2018.

Edited by:

Nicolas Rispail, Spanish National Research Council (CSIC), Spain

Reviewed by:

Shaokui Wang, College of Agriculture, South China Agricultural University, China
Beata A. Myśków, West Pomeranian University of Technology, Poland  

Copyright: © 2018 Fukuda, Hirose, Aoki, Kondo, Yonekura, Kataoka, Ohto and Nagano. 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.

* Correspondence: Dr. Akari Fukuda, National Agriculture and Food Research Organization (NARO), Tsukuba, Japan,