Evidence map›Paper›PMID 42638308›Full record

ArticleThe plant genome2026

Mining rare haplotypes to accelerate precision breeding in rice.

Swati Tyagi, Anoop Kishor Singh Gurjar, Sonali Vijay Habde, Krishna Tesman Sundaram, Namrata Devidas Patil, Diksha Rai, Ajay Bogati, Pronob J Paul, Ankur Kumar Singh, Ajay Tripathi and 6 more

Abstract read
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Article in The plant genome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Swati TyagiInternational Rice Research Institute, Los Banos, Philippines.
Anoop Kishor Singh GurjarInternational Rice Research Institute, Los Banos, Philippines.
Sonali Vijay HabdeInternational Rice Research Institute, Los Banos, Philippines.
Krishna Tesman SundaramInternational Rice Research Institute, Los Banos, Philippines.
Namrata Devidas PatilInternational Rice Research Institute, Los Banos, Philippines.
Diksha RaiInternational Rice Research Institute, Los Banos, Philippines.
Ajay BogatiInternational Rice Research Institute, Los Banos, Philippines.
Pronob J PaulInternational Rice Research Institute, Los Banos, Philippines.
Ankur Kumar SinghInternational Rice Research Institute, Los Banos, Philippines.
Ajay TripathiInternational Rice Research Institute, Los Banos, Philippines.
Sanjay KaliaDepartment of Biotechnology (DBT), CGO Complex, New Delhi, India.
Ajay KohliInternational Rice Research Institute, Los Banos, Philippines.
Arvind KumarInternational Rice Research Institute, Los Banos, Philippines.
Pallavi SinhaInternational Rice Research Institute, Los Banos, Philippines.ORCID https://orcid.org/0000-0003-0810-0711
Uma Maheshwar SinghInternational Rice Research Institute, Los Banos, Philippines.
Vikas Kumar SinghInternational Rice Research Institute, Los Banos, Philippines.ORCID https://orcid.org/0000-0002-1560-1648

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR32853/AGill/103/1159/2019Science and Engineering Research Board SERB/F/12886/2018-2019
6 · The paper itself

Abstract

Rice (Oryza sativa L.) genomics has made significant progress, with over 13000 genome sequences available and more than 4500 genes functionally characterized. However, limited haplotype-level information has constrained the effective deployment of these genes in breeding programs. Here, we investigated haplotype variation of 1644 functionally characterized genes representing six major trait categories using the 3000 Rice Genome panel. High haplotypic diversity was observed, with more than 300 haplotypes, which clustered into 2-15 major haplogroups. Several haplotypes showed subpopulation or region-specific distributions, whereas others were broadly distributed across the panel. To identify rare haplotypes (frequency < 0.1) with potential breeding value, we prioritized 180 genes relevant to defined product concepts and identified 210 rare haplotypes across 51 genes. Notably, a rare haplotype of DEP1 (DEP1-H2: frequency 0.07) associated with increased panicle length was introgressed into the mega rice variety Swarna through haplotype-based backcross breeding. The resulting introgression lines showed a 29%-34% increase in panicle length compared to the recurrent parent, confirming the functional advantage of the rare haplotype.

Indexed as

HaplotypesOryzaPlant BreedingGenetic VariationGenome, Plant

Identifiers

PMID42638308
PMCPMC13504149

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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.