Evidence map›Paper›PMID 32506235›Full record

ArticleMolecular genetics and genomics : MGG2020

Genome-wide association studies using 50 K rice genic SNP chip unveil genetic architecture for anaerobic germination of deep-water rice population of Assam, India.

Megha Rohilla, Nisha Singh, Abhishek Mazumder, Priyabrata Sen, Priyanka Roy, Dhiren Chowdhury, Nagendra Kumar Singh, Tapan Kumar Mondal

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In one paragraph

Article in Molecular genetics and genomics : MGG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.3field-weighted citation impact, top 3% 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

The trial behind it

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 48 citations in OpenAlex.

  1. The Cost of Bad Timing: How Phenology and Frequency Determine Agricultural Flood Risk.Water resources management (Dordrecht, Netherlands) · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Megha RohillaICAR-National Institute for Plant Biotechnology, Pusa, New Delhi, 110012, India.
Nisha SinghICAR-National Institute for Plant Biotechnology, Pusa, New Delhi, 110012, India.
Abhishek MazumderICAR-National Institute for Plant Biotechnology, Pusa, New Delhi, 110012, India.
Priyabrata SenDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam, India.
Priyanka RoyDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam, India.
Dhiren ChowdhuryRegional Agricultural Research Station, Assam Agricultural University, North Lakhimpur, Assam, India.
Nagendra Kumar SinghICAR-National Institute for Plant Biotechnology, Pusa, New Delhi, 110012, India.
Tapan Kumar MondalICAR-National Institute for Plant Biotechnology, Pusa, New Delhi, 110012, India. mondaltk@yahoo.com.ORCID http://orcid.org/0000-0001-6702-2990
National Research Centre on Plant Biotechnology · INAssam Agricultural University · IN

Funding

Department of Biotechnology, Ministry of Science and Technology BT/PR16907/NER/95/345/2015
6 · The paper itself

Abstract

North Eastern part of India such as Assam is inundated by flood every year where the farmers are forced to grow the traditional tall deep-water rice. Genetic improvement of this type of rice is slow because of insufficient knowledge about their genetic architecture and population structure. In the present investigation, the genetic diversity architecture of 94 deep-water rice genotypes of Assam and association mapping strategy was, for the first time, applied to determine the significant SNPs and genes for deep-water rice. These genotypes are known for their unique elongation ability under deep-water condition. The anaerobic germination (AG) related trait-associated genes identified here can provide affluent resources for rice breeding especially in flood-prone areas. We investigated the genome-wide association studies (GWAS) using 50 K rice genic SNP chip across 94 deep-water rice genotypes collected from different flood-prone districts/villages of Assam. Population structure and diversity analysis revealed that these genotypes were stratified into four sub-populations. Using GWAS approach, 20 significant genes were identified and found to be associated with AG-related traits. Of them, two most relevant genes (OsXDH1and SSXT) have been identified which explain phenotypic variability (R

Indexed as

Polymorphism, Single NucleotideQuantitative Trait LociChromosome MappingGenome-Wide Association StudyGerminationIndiaOligonucleotide Array Sequence AnalysisOryzaPhenotypePlant BreedingPlant ProteinsPlant ProteinsAnaerobic germinationAssociation mappingDeep-water riceGenetic diversityHypoxiaPopulation structure

Identifiers

PMID32506235
OpenAlexW3033727789

What OpenQuestion holds

Textmetadata
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Registered trials

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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.