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Genome‐wide expression quantitative trait locus analysis in a recombinant inbred line population for trait dissection in peanut.

Authors :
Huang, Li
Liu, Xia
Pandey, Manish K.
Ren, Xiaoping
Chen, Haiwen
Xue, Xiaomeng
Liu, Nian
Huai, Dongxin
Chen, Yuning
Zhou, Xiaojing
Luo, Huaiyong
Chen, Weigang
Lei, Yong
Liu, Kede
Xiao, Yingjie
Varshney, Rajeev K.
Liao, Boshou
Jiang, Huifang
Source :
Plant Biotechnology Journal; Mar2020, Vol. 18 Issue 3, p779-790, 12p
Publication Year :
2020

Abstract

Summary: The transcriptome connects genome to the gene function and ultimate phenome in biology. So far, transcriptomic approach was not used in peanut for performing trait mapping in bi‐parental populations. In this research, we sequenced the whole transcriptome in immature seeds in a peanut recombinant inbred line (RIL) population and explored thoroughly the landscape of transcriptomic variations and its genetic basis. The comprehensive analysis identified total 49 691 genes in RIL population, of which 92 genes followed a paramutation‐like expression pattern. Expression quantitative trait locus (eQTL) analysis identified 1207 local eQTLs and 15 837 distant eQTLs contributing to the whole‐genome transcriptomic variation in peanut. There were 94 eQTL hot spot regions detected across the genome with the dominance of distant eQTL. By integrating transcriptomic profile and annotation analyses, we unveiled a putative candidate gene and developed a linked marker InDel02 underlying a major QTL responsible for purple testa colour in peanut. Our result provided a first understanding of genetic basis of whole‐genome transcriptomic variation in peanut and illustrates the potential of the transcriptome‐aid approach in dissecting important traits in non‐model plants. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
PEANUTS
PLANT genetics

Details

Language :
English
ISSN :
14677644
Volume :
18
Issue :
3
Database :
Complementary Index
Journal :
Plant Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
141576811
Full Text :
https://doi.org/10.1111/pbi.13246