Evidence map›Paper›PMID 33762605›Full record

ArticleScientific reports2021

Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice.

Raju Bheemanahalli, Montana Knight, Cherryl Quinones, Colleen J Doherty, S V Krishna Jagadish

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Raju BheemanahalliInternational Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines.ORCID 0000-0002-9325-4901
Montana KnightDepartment of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, 27695, USA.
Cherryl QuinonesInternational Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines.
Colleen J DohertyDepartment of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, 27695, USA.ORCID 0000-0003-1126-5592
S V Krishna JagadishInternational Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines. kjagadish@ksu.edu.ORCID 0000-0002-1501-0960
International Rice Research Institute · PHNorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High night temperatures (HNT) are shown to significantly reduce rice (Oryza sativa L.) yield and quality. A better understanding of the genetic architecture of HNT tolerance will help rice breeders to develop varieties adapted to future warmer climates. In this study, a diverse indica rice panel displayed a wide range of phenotypic variability in yield and quality traits under control night (24 °C) and higher night (29 °C) temperatures. Genome-wide association analysis revealed 38 genetic loci associated across treatments (18 for control and 20 for HNT). Nineteen loci were detected with the relative changes in the traits between control and HNT. Positive phenotypic correlations and co-located genetic loci with previously cloned grain size genes revealed common genetic regulation between control and HNT, particularly grain size. Network-based predictive models prioritized 20 causal genes at the genetic loci based on known gene/s expression under HNT in rice. Our study provides important insights for future candidate gene validation and molecular marker development to enhance HNT tolerance in rice. Integrated physiological, genomic, and gene network-informed approaches indicate that the candidate genes for stay-green trait may be relevant to minimizing HNT-induced yield and quality losses during grain filling in rice by optimizing source-sink relationships.

Indexed as

Gene Expression Regulation, PlantGene Regulatory NetworksGenome-Wide Association StudyTemperatureComputational BiologyEdible GrainGene Expression ProfilingGenetic Association StudiesOryzaPhenotypeStress, Physiological

Identifiers

PMID33762605
PMCPMC7991035
OpenAlexW3138289753

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.