Evidence map›Paper›PMID 37555917›Full record

ArticleJournal of applied genetics2023

Integration of genome-wide association studies reveal loci associated with salt tolerance score of rice at the seedling stage.

Nhung Thi Hong Phan, Cuong Van Pham, Hanh Thi Tang, Loc Van Nguyen, Long Viet Nguyen, Pierre Bertin

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Article in Journal of applied genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nhung Thi Hong PhanEarth and Life Institute, Université Catholique de Louvain, 1348, Louvain la Neuve, Belgium. phannhung@vnua.edu.vn.ORCID http://orcid.org/0000-0002-9179-5077
Cuong Van PhamAgronomy Faculty, Vietnam National University of Agriculture, Hanoi, Vietnam.
Hanh Thi TangAgronomy Faculty, Vietnam National University of Agriculture, Hanoi, Vietnam.
Loc Van NguyenAgronomy Faculty, Vietnam National University of Agriculture, Hanoi, Vietnam.
Long Viet NguyenAgronomy Faculty, Vietnam National University of Agriculture, Hanoi, Vietnam.
Pierre BertinEarth and Life Institute, Université Catholique de Louvain, 1348, Louvain la Neuve, Belgium.

Funding

Vietnam National University of Agriculture T2021-01-04
6 · The paper itself

Abstract

Salt threatens rice cultivation in many countries. Hence, breeding new varieties with high salt tolerance is important.A panel of 2,391 rice accessions from the 3 K Rice Genome Project was selected to evaluate salt tolerance via the standard evaluation score (SES) in hydroponics under 60 mM NaCl at the seedling stage. Three sub-population panels including 1,332, 628, and 386 accessions from the original 2,391 ones were constructed based on low relatedness revealed by a phylogenetic tree generated by Archaeopteryx Tree. A genome-wide association study (GWAS) was conducted on the entire and sub-population panels using SES data and a selection of 5, 10, 20, and 40% of SNPs selected from the original 1,011,601 SNPs by filtering minor allele frequency > 5% and missing rate < 5%. To perform GWAS, three methods implemented in three different software packages were utilized.Using the integration of GWAS programs, a total of four QTLs associated with SES scores were identified in different panels. Some QTLs co-located with previously detected QTL-related traits. qSES1.1 was detected in three panels, qSES1.3 and qSES2.1 in two panels, and qSES3.1 in one panel through GWAS by all three methods used and selected SNPs. These four QTLs were selected to detect candidate genes. Combining gene-based association study plus haplotype analysis in the entire population and the three sub-populations let us shortlist three candidate genes, viz. LOC_Os01g23640 and LOC_Os01g23680 for qSES1.1, and LOC_Os01g71240 for qSES1.3 region affecting salt tolerance. The identified QTLs and candidate genes provided useful materials and genetic information for future functional characterization and genetic improvement of salt tolerance in rice.

Indexed as

OryzaSeedlingsGenome-Wide Association StudyPhylogenyPlant BreedingSalt Tolerance3K Rice Genome ProjectGWASQTLRiceSalt

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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.