Evidence map›Paper›PMID 37743422›Full record

ArticleJournal of applied genetics2023

Population structure and genetic differentiation analyses reveal high level of diversity and allelic richness in crop wild relatives of AA genome species of rice (Oryza sativa L.) in India.

Aswin Mahendran, Mahesh C Yadav, Shailesh Tiwari, Rakesh Kumar Bairwa, S Gopala Krishnan, Mukesh Kumar Rana, Rakesh Singh, Tapan Kumar Mondal

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of applied genetics, 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
0.6field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

8 authors at 4 institutions in 1 country.

Aswin MahendranDivision of Genomic Resources, Indian Council of Agricultural Research (ICAR) - National Bureau of Plant Genetic Resources, New Delhi, 110012, India.
Mahesh C YadavDivision of Genomic Resources, Indian Council of Agricultural Research (ICAR) - National Bureau of Plant Genetic Resources, New Delhi, 110012, India. mahesh.yadav1@icar.gov.in.ORCID http://orcid.org/0000-0002-7607-6875
Shailesh TiwariDivision of Genomic Resources, Indian Council of Agricultural Research (ICAR) - National Bureau of Plant Genetic Resources, New Delhi, 110012, India.
Rakesh Kumar BairwaDivision of Genomic Resources, Indian Council of Agricultural Research (ICAR) - National Bureau of Plant Genetic Resources, New Delhi, 110012, India.
S Gopala KrishnanDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Mukesh Kumar RanaDivision of Genomic Resources, Indian Council of Agricultural Research (ICAR) - National Bureau of Plant Genetic Resources, New Delhi, 110012, India.
Rakesh SinghDivision of Genomic Resources, Indian Council of Agricultural Research (ICAR) - National Bureau of Plant Genetic Resources, New Delhi, 110012, India.
Tapan Kumar MondalICAR-National Institute of Plant Biotechnology, New Delhi, 110012, India.
Indian Council of Agricultural Research · INIndian Agricultural Research Institute · INIndian Agricultural Statistics Research Institute · INNational Research Centre on Plant Biotechnology · IN

Funding

ICAR Network project on National Innovations in Climate Resilient Agriculture (NICRA) project code 1006607ICAR Network project on National Innovations in Climate Resilient Agriculture (NICRA) Scheme code 13921
6 · The paper itself

Abstract

Crop wild relatives (CWRs) are vital sources of variation for genetic improvement, but their populations are few in genebanks, eroded in natural habitats and inadequately characterized. With a view to explore genetic diversity in CWRs of AA genome rice (Oryza sativa L.) species in India, we analyzed 96 accessions of 10 Oryza species by using 17 quantitative traits and 45 microsatellite markers. The morpho-quantitative traits revealed a high extent of phenotypic variation in the germplasm. Diversity index (H') revealed a high level of within-species variability in O. nivara (H' = 1.09) and O. rufipogon (H' = 1.12). Principal component (PC) analysis explained 79.22% variance with five PCs. Among the traits related to phenology, morphology, and yield, days to heading showed strong positive association with days to 50% flowering (r = 0.99). However, filled grains per panicle revealed positive association with spikelet fertility (0.71) but negative with awn length (- 0.58) and panicle bearing tillers (- 0.39). Cluster analysis grouped all the accessions into three major clusters. Microsatellite analysis revealed 676 alleles with 15.02 alleles per locus. High polymorphism information content (PIC = 0.83) and Shannon's information index (I = 2.31) indicated a high level of genetic variation in the CWRs. Structure analysis revealed four subpopulations; first and second subpopulations comprised only of O. nivara accessions, while the third subpopulation included both O. nivara and O. rufipogon accessions. Population statistics revealed a moderate level of genetic differentiation (F

Indexed as

Genetic VariationOryzaAllelesPhenotypePolymorphism, GeneticAA genomeCrop wild relativesMicrosatellitesOryza speciesPopulation structureQuantitative traits

Identifiers

PMID37743422
OpenAlexW4386995676

What OpenQuestion holds

Textmetadata
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.