Evidence map›Paper›PMID 33871028›Full record

ArticleG3 (Bethesda, Md.)2021

Genetic diversity, population structure, and selection signature in Ethiopian sorghum [Sorghum bicolor L. (Moench)] germplasm.

Zeleke Wondimu, Hongxu Dong, Andrew H Paterson, Walelign Worku, Kassahun Bantte

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  5. Phenotypic Profiling of Anchote (Plants (Basel, Switzerland) · 2025
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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

5 authors.

Zeleke WondimuCollege of Agriculture and Veterinary Medicine, Jimma University, P.O. Box 307, Jimma, Ethiopia.
Hongxu DongPlant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.
Andrew H PatersonPlant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.
Walelign WorkuCollege of Agriculture, Hawassa University, P.O. Box 05, Hawassa, Ethiopia.
Kassahun BantteCollege of Agriculture and Veterinary Medicine, Jimma University, P.O. Box 307, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethiopia, the probable center of origin and diversity for sorghum [Sorghum bicolor L. (Moench)] and with unique ecogeographic features, possesses a large number of sorghum landraces that have not been well studied. Increased knowledge of this diverse germplasm through large-scale genomic characterization may contribute for understanding of evolutionary biology, and adequate use of these valuable resources from the center of origin. In this study, we characterized genetic diversity, population structure and selection signature in 304 sorghum accessions collected from diverse sorghum growing regions of Ethiopia using genotyping-by-sequencing. We identified a total of 108,107 high-quality single-nucleotide polymorphism (SNPs) markers that were evenly distributed across the sorghum genome. The average gene diversity among accessions was high (He = 0.29). We detected a relatively low frequency of rare alleles (26%), highlighting the potential of this germplasm for subsequent allele mining studies through genome-wide association studies. Although we found no evidence of genetic differentiation among administrative regions (FST = 0.02, P = 0.12), population structure and cluster analyses showed clear differentiation among six Ethiopian sorghum populations (FST = 0.28, P = 0.01) adapting to different environments. Analysis of SNP differentiation between the identified genetic groups revealed a total of 40 genomic regions carrying signatures of selection. These regions harbored candidate genes potentially involved in a variety of biological processes, including abiotic stress tolerance, pathogen defense and reproduction. Overall, a high level of untapped diversity for sorghum improvement remains available in Ethiopia, with patterns of diversity consistent with divergent selection on a range of adaptive characteristics.

Indexed as

SorghumAllelesEdible GrainEthiopiaGenetic VariationGenome-Wide Association StudyPolymorphism, Single Nucleotidegenetic diversitypopulation structureselection signaturesorghum

Identifiers

PMID33871028
PMCPMC8495740

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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.