Literature DB >> 28875589

Genetic dissection of top three leaf traits in rice using progenies from a japonica × indica cross.

Changbin Yin1, Huihui Li1, Zhigang Zhao2, Zhiquan Wang2,3, Shijia Liu2, Liangming Chen2, Xi Liu2, Yunlu Tian2, Juan Ma1, Lidong Xu2, Dashuang Zhang4, Susong Zhu4, Danting Li5, Jianmin Wan1, Jiankang Wang1.   

Abstract

The size of the top three leaves of rice plants is strongly associated with yield; thus, it is important to consider quantitative traits representing leaf size (e.g., length and width) when breeding novel rice varieties. It is challenging to measure such traits on a large scale in the field, and little is known about the genetic factors that determine the size of the top three leaves. In the present study, a population of recombinant inbred lines (RILs) and reciprocal single chromosomal segment substitution lines (SSSLs) derived from the progeny of a japonica Asominori × indica IR24 cross were grown under four diverse environmental conditions. Six morphological traits associated with leaf size were measured, namely length and flag leaf, length and flag, second and third leaves. In the RIL population, 49 QTLs were identified that clustered in 30 genomic region. Twenty-three of these QTLs were confirmed in the SSSL population. A comparison with previously reported genes/QTLs revealed eight novel genomic regions that contained uncharacterized ORFs associated with leaf size. The QTLs identified in this study can be used for marker-assisted breeding and for fine mapping of novel genetic elements controlling leaf size in rice.
© 2017 Institute of Botany, Chinese Academy of Sciences.

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Year:  2017        PMID: 28875589     DOI: 10.1111/jipb.12597

Source DB:  PubMed          Journal:  J Integr Plant Biol        ISSN: 1672-9072            Impact factor:   7.061


  2 in total

1.  Genetic Mapping with Background Control for Quantitative Trait Locus (QTL) in 8-Parental Pure-Line Populations.

Authors:  Jinhui Shi; Jiankang Wang; Luyan Zhang
Journal:  J Hered       Date:  2019-12-17       Impact factor: 2.645

2.  Genome-wide transcriptome profile of rice hybrids with and without Oryza rufipogon introgression reveals candidate genes for yield.

Authors:  Haritha Guttikonda; Shashi Rekha Thummala; Surekha Agarwal; Satendra K Mangrauthia; Rajeshwari Ramanan; Sarla Neelamraju
Journal:  Sci Rep       Date:  2020-03-17       Impact factor: 4.379

  2 in total

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