Evidence map›Paper›PMID 27494320›Full record

ArticlePloS one2016

Population Structure, Genetic Diversity and Molecular Marker-Trait Association Analysis for High Temperature Stress Tolerance in Rice.

Sharat Kumar Pradhan, Saumya Ranjan Barik, Ambika Sahoo, Sudipti Mohapatra, Deepak Kumar Nayak, Anumalla Mahender, Jitandriya Meher, Annamalai Anandan, Elssa Pandit

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.1field-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

31 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
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  5. Meta-QTL and ortho analysis unravels the genetic architecture and key candidate genes for cold tolerance at seedling stage in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
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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

9 authors at 1 institution in 1 country.

Sharat Kumar PradhanCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Saumya Ranjan BarikCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Ambika SahooCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Sudipti MohapatraCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Deepak Kumar NayakCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Anumalla MahenderCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Jitandriya MeherCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Annamalai AnandanCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Elssa PanditCrop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Central Rice Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice exhibits enormous genetic diversity, population structure and molecular marker-traits associated with abiotic stress tolerance to high temperature stress. A set of breeding lines and landraces representing 240 germplasm lines were studied. Based on spikelet fertility percent under high temperature, tolerant genotypes were broadly classified into four classes. Genetic diversity indicated a moderate level of genetic base of the population for the trait studied. Wright's F statistic estimates showed a deviation of Hardy-Weinberg expectation in the population. The analysis of molecular variance revealed 25 percent variation between population, 61 percent among individuals and 14 percent within individuals in the set. The STRUCTURE analysis categorized the entire population into three sub-populations and suggested that most of the landraces in each sub-population had a common primary ancestor with few admix individuals. The composition of materials in the panel showed the presence of many QTLs representing the entire genome for the expression of tolerance. The strongly associated marker RM547 tagged with spikelet fertility under stress and the markers like RM228, RM205, RM247, RM242, INDEL3 and RM314 indirectly controlling the high temperature stress tolerance were detected through both mixed linear model and general linear model TASSEL analysis. These markers can be deployed as a resource for marker-assisted breeding program of high temperature stress tolerance.

Indexed as

Genetic VariationAllelesCluster AnalysisDNA, PlantGenetic MarkersGenotypeOryzaPhenotypePlant BreedingPlant LeavesPrincipal Component AnalysisTemperatureThermotoleranceDNA, PlantGenetic Markers

Identifiers

PMID27494320
PMCPMC4975506
OpenAlexW2481744114

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.