Evidence map›Paper›PMID 37256876›Full record

ArticlePloS one2023

Genetic diversity and population structure analysis in cultivated soybean (Glycine max [L.] Merr.) using SSR and EST-SSR markers.

Reena Rani, Ghulam Raza, Muhammad Haseeb Tung, Muhammad Rizwan, Hamza Ashfaq, Hussein Shimelis, Muhammad Khuram Razzaq, Muhammad Arif

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
12.7field-weighted citation impact, top 1% 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, 32 citations in OpenAlex.

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  7. Genetic diversity and population structure analysis in Asparagus officinalis.Journal, genetic engineering & biotechnology · 2025
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  15. Genome-wide association study of soybean (Frontiers in plant science · 2023
    Article
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 3 countries.

Reena RaniNational Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.
Ghulam RazaNational Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.
Muhammad Haseeb TungNational Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.
Muhammad RizwanPlant Breeding and Genetics Division, Nuclear Institute of Agriculture (NIA), Tandojam, Pakistan.ORCID 0000-0001-8283-4807
Hamza AshfaqNational Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.
Hussein ShimelisSchool of Agricultural, Earth and Environmental Sciences, African Centre for Crop Improvement, University of KwaZulu-Natal, Pietermaritzburg, South Africa.ORCID 0000-0003-2793-8392
Muhammad Khuram RazzaqSoybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, China.ORCID 0000-0002-1916-4596
Muhammad ArifNational Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.
National Institute for Biotechnology and Genetic Engineering · PKNanjing Agricultural University · CNNuclear Institute for Agriculture and Biology · PKUniversity of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean (Glycine max) is an important legume that is used to fulfill the need of protein and oil of large number of population across the world. There are large numbers of soybean germplasm present in the USDA germplasm resources. Finding and understanding genetically diverse germplasm is a top priority for crop improvement programs. The current study used 20 functional EST-SSR and 80 SSR markers to characterize 96 soybean accessions from diverse geographic backgrounds. Ninety-six of the 100 markers were polymorphic, with 262 alleles (average 2.79 per locus). The molecular markers had an average polymorphic information content (PIC) value of 0.44, with 28 markers ≥ 0.50. The average major allele frequency was 0.57. The observed heterozygosity of the population ranged from 0-0.184 (average 0.02), while the expected heterozygosity ranged from 0.20-0.73 (average 0.51). The lower value for observed heterozygosity than expected heterozygosity suggests the likelihood of a population structure among the germplasm. The phylogenetic analysis and principal coordinate analysis (PCoA) divided the total population into two major groups (G1 and G2), with G1 comprising most of the USA lines and the Australian and Brazilian lines. Furthermore, the phylogenetic analysis and PCoA divided the USA lines into three major clusters without any specific differentiation, supported by the model-based STRUCTURE analysis. Analysis of molecular variance (AMOVA) showed 94% variation among individuals in the total population, with 2% among the populations. For the USA lines, 93% of the variation occurred among individuals, with only 2% among lines from different US states. Pairwise population distance indicated more similarity between the lines from continental America and Australia (189.371) than Asia (199.518). Overall, the 96 soybean lines had a high degree of genetic diversity.

Indexed as

Genetic VariationGlycine maxAustraliaHumansMicrosatellite RepeatsPhylogeny

Identifiers

PMID37256876
PMCPMC10231820
OpenAlexW4378902215

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LicenceCC BY
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Registered trials

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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.