Literature DB >> 32072700

Genome-wide expression quantitative trait locus studies facilitate isolation of causal genes controlling panicle structure.

Fanmiao Wang1, Kenji Yano1,2, Shiro Nagamatsu3, Mayuko Inari-Ikeda4, Eriko Koketsu1, Ko Hirano1, Koichiro Aya1, Makoto Matsuoka1.   

Abstract

The morphology of rice (Oryza sativa L.) panicles is an important determinant of grain yield, and elucidation of the genetic control of panicle structure is very important for fulfilling the demand for high yield in breeding programs. In a quantitative trait locus (QTL) study using 82 backcross inbred lines (BILs) derived from Koshihikari and Habataki, 68 QTLs for 25 panicle morphological traits were identified. Gene expression profiling from inflorescence meristems of BILs was obtained. A combination of phenotypic QTL (pQTL) and expression QTL (eQTL) analysis revealed co-localization between pQTLs and eQTLs, consistent with significant correlations between phenotypic traits and gene expression levels. By combining pQTL and eQTL data, two genes were identified as controlling panicle structure: OsMADS18 modulates the average length of the primary rachis and OsFTL1 has pleiotropic effects on the total number of secondary rachides, number of grains per panicle, plant height and the length of flag leaves. Phenotypes were confirmed in RNA interference knocked-down plants and overexpressor lines. The combination of pQTL and eQTL analysis could facilitate identification of genes involved in rice panicle formation.
© 2020 Society for Experimental Biology and John Wiley & Sons Ltd.

Entities:  

Keywords:  QTL; expression QTL; gene identification; panicle morphology; rice (Oryza sativa L.)

Mesh:

Year:  2020        PMID: 32072700     DOI: 10.1111/tpj.14726

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  2 in total

1.  Uncovering the genetic mechanisms regulating panicle architecture in rice with GPWAS and GWAS.

Authors:  Hua Zhong; Shuai Liu; Xiaoxi Meng; Tong Sun; Yujuan Deng; Weilong Kong; Zhaohua Peng; Yangsheng Li
Journal:  BMC Genomics       Date:  2021-01-28       Impact factor: 3.969

2.  Expressed genes and their new alleles identification during fibre elongation reveal the genetic factors underlying improvements of fibre length in cotton.

Authors:  Jianjiang Ma; Yafei Jiang; Wenfeng Pei; Man Wu; Qifeng Ma; Ji Liu; Jikun Song; Bing Jia; Shang Liu; Jianyong Wu; Jinfa Zhang; Jiwen Yu
Journal:  Plant Biotechnol J       Date:  2022-07-11       Impact factor: 13.263

  2 in total

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