Evidence map›Paper›PMID 34894334›Full record

ArticleMolecular biology reports2022

Molecular characterization and genetic diversity studies of Indian soybean (Glycine max (L.) Merr.) cultivars using SSR markers.

S P Jeevan Kumar, C Susmita, K V Sripathy, Dinesh K Agarwal, Govind Pal, Arvind Nath Singh, Sanjay Kumar, Abhishek Kumar Rai, Jesus Simal-Gandara

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Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

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22citing papers in PubMed
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3 · Its place in the literature

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22 citing papers in PubMed.

  1. Article
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  5. Factors affecting the genetic diversity ofFrontiers in plant science · 2026
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  9. Genetic Diversity Assessment and Core Germplasm Screening of Blackcurrant (International journal of molecular sciences · 2025
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  12. Development of Roselle (Plants (Basel, Switzerland) · 2024
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

S P Jeevan KumarICAR-Indian Institute of Seed Science, Mau, Kushmaur, Uttar Pradesh, 275103, India. jeevanicar@gmail.com.
C SusmitaICAR-Indian Institute of Seed Science, Mau, Kushmaur, Uttar Pradesh, 275103, India.
K V SripathyICAR-Indian Institute of Seed Science, Mau, Kushmaur, Uttar Pradesh, 275103, India.
Dinesh K AgarwalICAR-Indian Institute of Seed Science, Mau, Kushmaur, Uttar Pradesh, 275103, India.
Govind PalICAR-Indian Institute of Seed Science, Mau, Kushmaur, Uttar Pradesh, 275103, India.
Arvind Nath SinghICAR-Indian Institute of Seed Science, Mau, Kushmaur, Uttar Pradesh, 275103, India.
Sanjay KumarICAR-Indian Institute of Seed Science, Mau, Kushmaur, Uttar Pradesh, 275103, India.
Abhishek Kumar RaiICAR-Indian Institute of Seed Science, Mau, Kushmaur, Uttar Pradesh, 275103, India.
Jesus Simal-GandaraNutrition and Bromatology Group, Analytical Chemistry and Food Science Department, Faculty of Science, Universidade de Vigo, 32004, Ourense, Spain. jsimal@uvigo.es.ORCID http://orcid.org/0000-0001-9215-9737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe genetic base of soybean cultivars in India has been reported to be extremely narrow, due to repeated use of few selected and elite genotypes as parents in the breeding programmes. This ultimately led to the reduction of genetic variability among existing soybean cultivars and stagnation in crop yield. Thus in order to enhance production and productivity of soybean, broadening of genetic base and exploring untapped valuable genetic diversity has become quite indispensable. This could be successfully accomplished through molecular characterization of soybean genotypes using various DNA based markers. Hence, an attempt was made to study the molecular divergence and relatedness among 29 genotypes of soybean using SSR markers. METHODS AND

resultsA total of 35 SSR primers were deployed to study the genetic divergence among 29 genotypes of soybean. Among them, 14 primer pairs were found to be polymorphic producing a total of 34 polymorphic alleles; and the allele number for each locus ranged from two to four with an average of 2.43 alleles per primer pair. Polymorphic information content (PIC) values of SSRs ranged from 0.064 to 0.689 with an average of 0.331. The dendrogram constructed based on dissimilarity indices clustered the 29 genotypes into two major groups and four sub-groups. Similarly, principal coordinate analysis grouped the genotypes into four major groups that exactly corresponded to the clustering of genotypes among four sub-groups of dendrogram. Besides, the study has reported eight unique and two rare alleles that could be potentially utilized for genetic purity analysis and cultivar identification in soybean.

conclusionIn the present investigation, two major clusters were reported and grouping of large number of genotypes in each cluster indicated high degree of genetic resemblance and narrow genetic base among the genotypes used in the study. With respect to the primers used in the study, the values of PIC and other related parameters revealed that the selected SSR markers are moderately informative and could be potentially utilized for diversity analysis of soybean. The clustering pattern of dendrogram constructed based on SSR loci profile displayed good agreement with the cultivar's pedigree information. High level of genetic similarity observed among the genotypes from the present study necessitates the inclusion of wild relatives, land races and traditional cultivars in future soybean breeding programmes to widen the crop gene pool. Thus, hybridization among diverse gene pool could result in more heterotic combinations ultimately enhancing genetic gain, crop yield and resistance to various stress factors.

Indexed as

Glycine maxMicrosatellite RepeatsGenetic MarkersGenetic VariationPlant BreedingGenetic MarkersGenetic diversityHeterosisHybridizationPolymorphismSSR markersYield

Identifiers

PMID34894334
PMCPMC8863763

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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.