Evidence map›Paper›PMID 30701663›Full record

ArticlePlant biotechnology journal2019

Haplotype analysis of key genes governing grain yield and quality traits across 3K RG panel reveals scope for the development of tailor-made rice with enhanced genetic gains.

Ragavendran Abbai, Vikas Kumar Singh, Vishnu Varthini Nachimuthu, Pallavi Sinha, Ramchander Selvaraj, Abhilash Kumar Vipparla, Arun Kumar Singh, Uma Maheshwar Singh, Rajeev K Varshney, Arvind Kumar

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

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63citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Candidate gene analysis of rice grain shape based on genome-wide association study.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ragavendran AbbaiInternational Rice Research Institute, South-Asia Hub, ICRISAT Campus, Hyderabad, India.ORCID 0000-0002-5712-910X
Vikas Kumar SinghInternational Rice Research Institute, South-Asia Hub, ICRISAT Campus, Hyderabad, India.
Vishnu Varthini NachimuthuInternational Rice Research Institute, South-Asia Hub, ICRISAT Campus, Hyderabad, India.
Pallavi SinhaCentre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India.
Ramchander SelvarajInternational Rice Research Institute, South-Asia Hub, ICRISAT Campus, Hyderabad, India.
Abhilash Kumar VipparlaInternational Rice Research Institute, South-Asia Hub, ICRISAT Campus, Hyderabad, India.
Arun Kumar SinghInternational Rice Research Institute, South-Asia Hub, ICRISAT Campus, Hyderabad, India.
Uma Maheshwar SinghInternational Rice Research Institute, South-Asia Hub, ICRISAT Campus, Hyderabad, India.
Rajeev K VarshneyCentre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India.ORCID 0000-0002-4562-9131
Arvind KumarInternational Rice Research Institute, South-Asia Hub, ICRISAT Campus, Hyderabad, India.ORCID 0000-0002-5488-9410

Funding

Bill & Melinda Gates Foundation
6 · The paper itself

Abstract

Though several genes governing various major traits have been reported in rice, their superior haplotype combinations for developing ideal variety remains elusive. In this study, haplotype analysis of 120 previously functionally characterized genes, influencing grain yield (87 genes) and grain quality (33 genes) revealed significant variations in the 3K rice genome (RG) panel. For selected genes, meta-expression analysis using already available datasets along with co-expression network provided insights at systems level. Also, we conducted candidate gene based association study for the 120 genes and identified 21 strongly associated genes governing 10-grain yield and quality traits. We report superior haplotypes upon phenotyping the subset of 3K RG panel, SD1-H8 with haplotype frequency (HF) of 30.13% in 3K RG panel, MOC1-H9 (HF: 23.08%), IPA1-H14 (HF: 6.64%), DEP3-H2 (HF: 5.59%), DEP1-H2 (HF: 37.53%), SP1-H3 (HF: 5.05%), LAX1-H5 (HF: 1.56%), LP-H13 (3.64%), OSH1-H4 (5.52%), PHD1-H14 (HF: 15.21%), AGO7-H15 (HF: 3.33%), ROC5-H2 (31.42%), RSR1-H8 (HF: 4.20%) and OsNAS3-H2 (HF: 1.00%). For heading date, Ghd7-H8 (HF: 3.08%), TOB1-H10 (HF: 4.60%) flowered early, Ghd7-H14 (HF: 42.60%), TRX1-H9 (HF: 27.97%), OsVIL3-H14 (HF: 1.72%) for medium duration flowering, while Ghd7-H6 (HF: 1.65%), SNB-H9 (HF: 9.35%) were late flowering. GS5-H4 (HF: 65.84%) attributed slender, GS5-H5 (HF: 29.00%), GW2-H2 (HF: 4.13%) were medium slender and GS5-H9 (HF: 2.15%) for bold grains. Furthermore, haplotype analysis explained possible genetic basis for superiority of selected mega-varieties. Overall, this study suggests the possibility for developing next-generation tailor-made rice with superior haplotype combinations of target genes suiting future food and nutritional demands via haplotype-based breeding.

Indexed as

Genes, PlantPhenotypeEdible GrainHaplotypesOryza3K RG panelcloned geneshaplotype-based breedinghaplotype mining

Identifiers

PMID30701663
PMCPMC6662101

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LicenceCC BY
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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.