Evidence map›Paper›PMID 31792643›Full record

ArticleRice (New York, N.Y.)2019

Identification of genes for salt tolerance and yield-related traits in rice plants grown hydroponically and under saline field conditions by genome-wide association study.

Chen Liu, Kai Chen, Xiuqin Zhao, Xiaoqian Wang, Congcong Shen, Yajun Zhu, Mingli Dai, Xianjin Qiu, Rongwei Yang, Danying Xing and 2 more

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

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0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

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  16. RiceMetaSys: Drought-miR, a one-stop solution for drought responsive miRNAs-mRNA module in rice.Database : the journal of biological databases and curation · 2024
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Chen LiuCollege of Agriculture, Yangtze University, Jingzhou, 434025, China.
Kai ChenLaboratory of Lingnan Modern Agriculture/ Agricultural Genomics Institute at Shenzhen, Shenzhen, 518120, China.
Xiuqin ZhaoInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xiaoqian WangState Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Taian, 271018, China.
Congcong ShenLaboratory of Lingnan Modern Agriculture/ Agricultural Genomics Institute at Shenzhen, Shenzhen, 518120, China.
Yajun ZhuLaboratory of Lingnan Modern Agriculture/ Agricultural Genomics Institute at Shenzhen, Shenzhen, 518120, China.
Mingli DaiCollege of Agriculture, Yangtze University, Jingzhou, 434025, China.
Xianjin QiuCollege of Agriculture, Yangtze University, Jingzhou, 434025, China.
Rongwei YangCollege of Agriculture, Yangtze University, Jingzhou, 434025, China.
Danying XingCollege of Agriculture, Yangtze University, Jingzhou, 434025, China.
Yunlong PangState Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Taian, 271018, China. y.pang@sdau.edu.cn.
Jianlong XuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. xujlcaas@126.com.ORCID http://orcid.org/0000-0001-6623-1256

Funding

Agricultural Science and Technology Innovation Program and the Cooperation and Innovation Mission CAAS-ZDXT201800Fundamental Research Funds for Science, Technology and Innovation Commission of Shenzhen Municipality JCYJ20160530191619099National Key Technology Support Program 2015BAD02B01National Natural Science Foundation of China 31471429
6 · The paper itself

Abstract

backgroundSoil salinity is one of the main environmental conditions that affects rice production. Identifying the genetic loci that affect rice salt tolerance (ST)-related traits at the seedling stage, especially under saline field conditions, is crucial for ST rice breeding by pyramiding ST genes that act at different developmental stages.

resultsLarge phenotypic variations were observed in 708 rice accessions, and yield and its related traits were considerably limited when exposed to salt stress. In a genome-wide association study (GWAS), 2255 marker-trait association signals were detected for all measured traits, and the significant SNPs were distributed in 903 genes. Of these, 43 genes processed same functional annotation, and the gene ontology terms "biological processes" and "molecular function" with the known genes responsive to salt stress in rice. Further haplotype analysis detected 15 promising candidates significantly associated with the target traits, including five known genes and 10 novel genes. We identified seven accessions carrying favorable haplotypes of four genes significantly associated with grain yield that performed well under saline stress conditions.

conclusionsUsing high density SNPs within genes to conduct GWAS is an effective way to identify candidate genes for salt tolerance in rice. Five known genes (OsMYB6, OsGAMYB, OsHKT1;4, OsCTR3, and OsSUT1) and two newly identified genes (LOC_Os02g49700, LOC_Os03g28300) significantly associated with grain yield and its related traits under saline stress conditions were identified. These promising candidates provide valuable resources for validating potential ST-related genes and will facilitate rice breeding for salt tolerance through marker-assisted selection.

Indexed as

Candidate geneGenome-wide association study (GWAS)Quantitative trait locus/loci (QTL)RiceSalt tolerance

Identifiers

PMID31792643
PMCPMC6889114

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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.