Evidence map›Paper›PMID 27659284›Full record

ArticleRice (New York, N.Y.)2016

High-resolution QTL mapping for grain appearance traits and co-localization of chalkiness-associated differentially expressed candidate genes in rice.

Likai Chen, Weiwei Gao, Siping Chen, Liping Wang, Jiyong Zou, Yongzhu Liu, Hui Wang, Zhiqiang Chen, Tao Guo

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 71 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Likai ChenNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Weiwei GaoNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Siping ChenNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Liping WangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Jiyong ZouNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Yongzhu LiuNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Hui WangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Zhiqiang ChenNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China. chenlin@scau.edu.cn.
Tao GuoNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China. guoguot@scau.edu.cn.ORCID http://orcid.org/0000-0003-0213-6991
South China Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrain appearance quality is a main determinant of market value in rice and one of the highly important traits requiring improvement in breeding programs. The genetic basis of grain shape and endosperm chalkiness have been given significant attention because of their importance in affecting grain quality. Meanwhile, the introduction of NGS (Next Generation Sequencing) has a significant part to play in the area of genomics, and offers the possibility for high-resolution genetic map construction, population genetics analysis and systematic expression profile study.

resultsA RIL population derived from an inter-subspecific cross between indica rice PYZX and japonica rice P02428 was generated, based on the significant variations for the grain morphology and cytological structure between these two parents. Using the Genotyping-By-Sequencing (GBS) approach, 2711 recombination bin markers with an average physical length of 137.68 kb were obtained, and a high-density genetic map was constructed. Global genetic mapping of QTLs affecting grain shape and chalkiness traits was performed across four environments and the newly identified stable loci were obtained. Twelve important QTL clusters were detected, four of which were coincident with the genomic regions of cloned genes or fine mapped QTL reported. Eight novel QTL clusters (including six for grain shape, one for chalkiness, and one for both grain shape and chalkiness) were firstly obtained and highlighted the value and reliability of the QTL analysis. The important QTL cluster on chromosome 5 affects multiple traits including circularity (CS), grain width (GW), area size of grain (AS), percentage of grains with chalkiness (PGWC) and degree of endosperm chalkiness (DEC), indicating some potentially pleiotropic effects. The transcriptome analysis demonstrated an available gene expression profile responsible for the development of chalkiness, and several DEGs (differentially expressed genes) were co-located nearby the three chalkiness-related QTL regions on chromosomes 5, 7, and 8. Candidate genes were extrapolated, which were suitable for functional validation and breeding utilization.

conclusionQTLs affecting grain shape (grain width, grain length, length-width ratio, circularity, area size of grain, and perimeter length of grain) and chalkiness traits (percentage of grains with chalkiness and degree of endosperm chalkiness) were mapped with the high-density GBS-SNP based markers. The important differentially expressed genes (DEGs) were co-located in the QTL cluster regions on chromosomes 5, 7 and 8 affecting PGWC and DEC parameters. Our research provides a crucial insight into the genetic architecture of rice grain shape and chalkiness, and acquired potential candidate loci for molecular cloning and grain quality improvement.

Indexed as

ChalkinessGBSGrain shapeQTL mappingRiceTranscriptome profiling

Identifiers

PMID27659284
PMCPMC5033801
OpenAlexW2523171139

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.