Evidence map›Paper›PMID 36536186›Full record

ArticleMolecular biology reports2023

Genetic analysis for detection of genes associated to drought tolerance in rice accessions belonging to north east India.

Rahul K Verma, Sanjay K Chetia, Vinay Sharma, Sushil K Singh, Bidyut K Sarmah, Mahendra K Modi

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Article in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 32% of its field
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Rahul K VermaDBT-North East Centre for Agricultural Biotechnology, Jorhat, 785013, Assam, India.
Sanjay K ChetiaRegional Agricultural Research Station, Titabar, 785630, Assam, India.
Vinay SharmaDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, 785013, Assam, India.
Sushil K SinghDBT-North East Centre for Agricultural Biotechnology, Jorhat, 785013, Assam, India.
Bidyut K SarmahDBT-North East Centre for Agricultural Biotechnology, Jorhat, 785013, Assam, India.
Mahendra K ModiDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, 785013, Assam, India. mkmodi@aau.ac.in.ORCID http://orcid.org/0000-0001-5509-4612
Assam Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe North East (NE) India is rich in biodiversity and also considered as the secondary centre for origin of rice. The NE rice accessions was characterized previously using genetic markers and morphological traits. Simultaneously, genome-wide association studies (GWAS) reveal significant marker-trait associations for the drought tolerance traits. METHODS AND

resultsThe genetic diversity and population structure of 296 NE rice accessions were studied using 96,712 single nucleotide polymorphism (SNP) markers distributed across 12 chromosomes. The accessions were clustered into two major sub-groups (SG). A total of 91 accessions were assembled as SG1 and 114 accessions as SG2, while the remaining 91 were admixture genotypes. A total of 200 genotypes belonging to different groups were phenotyped for yield component traits under drought and control conditions. The GWAS was performed to identify significant marker-trait associations (MTAs). Consequently, 47 MTAs were detected under drought, exhibiting 0.02-9.95% of phenotypic variance (P.V.). Whereas 58 MTAs were discovered under control conditions, showing a 0.01-9.74% contribution to the phenotype. Through in-silico mining of QTLs, 2999 genes were identified. Among these; only 22 genes were directly associated with stress response.

conclusionThese QTLs/genes may be deployed for marker-assisted pyramiding to improve drought tolerance in popular drought susceptible rice varieties.

Indexed as

OryzaDrought ResistanceGenome-Wide Association StudyIndiaPhenotypeQuantitative Trait LociGBSGenetic diversityMarker-Trait AssociationRice

Identifiers

PMID36536186
OpenAlexW4312019151

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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.