Evidence map›Paper›PMID 38931139›Full record

ArticlePlants (Basel, Switzerland)2024

Discovering New QTNs and Candidate Genes Associated with Rice-Grain-Related Traits within a Collection of Northeast Core Set and Rice Landraces.

Debjani Roy Choudhury, Avantika Maurya, Nagendra Kumar Singh, Gyanendra Prata Singh, Rakesh Singh

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Debjani Roy ChoudhuryDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.
Avantika MauryaDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.
Nagendra Kumar SinghICAR-National Institute for Plant Biotechnology, New Delhi 110012, India.ORCID 0000-0002-7753-8517
Gyanendra Prata SinghICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.
Rakesh SinghDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.

Funding

Indian Council of Agricultural Research (ICAR), New Delhi, India, under Network project on Functional Genomics and Genetic Modification in Crops. Project code no 1001381
6 · The paper itself

Abstract

Grain-related traits are pivotal in rice cultivation, influencing yield and consumer preference. The complex inheritance of these traits, involving multiple alleles contributing to their expression, poses challenges in breeding. To address these challenges, a multi-locus genome-wide association study (ML-GWAS) utilizing 35,286 high-quality single-nucleotide polymorphisms (SNPs) was conducted. Our study utilized an association panel comprising 483 rice genotypes sourced from a northeast core set and a landraces set collected from various regions in India. Forty quantitative trait nucleotides (QTNs) were identified, associated with four grain-related traits: grain length (GL), grain width (GW), grain aroma (Aro), and length-width ratio (LWR). Notably, 16 QTNs were simultaneously identified using two ML-GWAS methods, distributed across multiple chromosomes. Nearly 258 genes were found near the 16 significant QTNs. Gene annotation study revealed that sixty of these genes exhibited elevated expression levels in specific tissues and were implicated in pathways influencing grain quality. Gene ontology (GO), trait ontology (TO), and enrichment analysis pinpointed 60 candidate genes (CGs) enriched in relevant GO terms. Among them,

Indexed as

candidate genescoreenrichment analysismulti-locus GWASquantitative trait nucleotidesrice

Identifiers

PMID38931139
PMCPMC11207502

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