Evidence map›Paper›PMID 23945062›Full record

ArticleBMC genetics2013

Genetic diversity and population structure of rice landraces from Eastern and North Eastern States of India.

Basabdatta Das, Samik Sengupta, Swarup Kumar Parida, Bipasha Roy, Mrityunjay Ghosh, Manoj Prasad, Tapas Kumar Ghose

Abstract read
In one paragraph

Article in BMC genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

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52citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

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  13. Kam Sweet Rice (Frontiers in plant science · 2022
    Article
  14. Genetic relationship, population structure analysis and pheno-molecular characterization of rice (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  15. Article
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  17. Article
  18. Diversity analysis of selected rice landraces from West Bengal and their linked molecular markers for salinity tolerance.Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  19. Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Basabdatta DasDivision of Plant Biology, Bose Institute, Main Campus, 93/1 A.P.C. Road, 700009 Kolkata, West Bengal, India.
Samik Sengupta
Swarup Kumar Parida
Bipasha Roy
Mrityunjay Ghosh
Manoj Prasad
Tapas Kumar Ghose

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdaptations to different habitats across the globe and consequent genetic variation within rice have resulted in more than 120,000 diverse accessions including landraces, which are vital genetic resources for agronomic and quality traits. In India the rice landraces of the states West Bengal, Assam, Mizoram, Manipur and Nagaland are worthy candidates for genetic assessment. Keeping the above in view, the present study was conducted with the aim to (i) calculate the genetic distances among the accessions of 83 landraces collected from these states along with 8 check accessions (total 91 accessions) using 23 previously mapped SSR markers and (ii) examine the population structure among the accessions using model-based clustering approach.

resultsAmong the 91 accessions, 182 alleles were identified which included 51 rare and 27 null alleles. The average PIC value was 0.7467/marker. The non-aromatic landraces from West Bengal was most diverse with 154 alleles and an average PIC value of 0.8005/marker, followed by the aromatic landraces from West Bengal with 118 alleles and an average PIC value of 0.6524/marker, while the landraces from North East ranked third with 113 alleles and an average PIC value of 0.5745/marker. In the dendrogram distinct clusters consisting of predominantly aromatic landraces and predominantly North East Indian landraces were observed. The non-aromatic landraces from West Bengal were interspersed within these two clusters. The accessions were moderately structured, showing four sub-populations (A-D) with an Fst value of 0.398, 0.364, 0.206 and 0.281, respectively. The assigned clustering of accessions was well in agreement in both distance-based and model-based approaches.

conclusionsEach of the accessions could be identified unequivocally by the SSR profiles. Genetically the non aromatic landraces from West Bengal were most diverse followed by the aromatic landraces from the same state. The North Eastern accessions ranked third. Further, grouping of accessions based on their agronomic traits may serve as a resource for future studies, leading to the improvement of rice. Moreover in-situ preservation of the landraces is also a means of protection of biodiversity and cultural heritage.

Indexed as

Genetic VariationAllelesCluster AnalysisGenes, PlantIndiaOryza

Identifiers

PMID23945062
PMCPMC3765237

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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.