A Large-Scale Genome-Wide Association Analyses of Ethiopian Sorghum Landrace Collection Reveal Loci Associated With Important Traits.

compressed mixed linear model (CMLM) genome-wide association study genotyping-by-sequencing population structure sorghum

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2019
Historique:
received: 18 01 2019
accepted: 08 05 2019
entrez: 14 6 2019
pubmed: 14 6 2019
medline: 14 6 2019
Statut: epublish

Résumé

The eastern Africa region, Ethiopia and its surroundings, is considered as the center of origin and diversity for sorghum, and has contributed to global sorghum genetic improvement. The germplasm from this region harbors enormous genetic variation for various traits but little is known regarding the genetic architecture of most traits. Here, 1425 Ethiopian landrace accessions were phenotyped under field conditions for presence or absence of awns, panicle compactness and shape, panicle exsertion, pericarp color, glume cover, plant height and smut resistance under diverse environmental conditions in Ethiopia. In addition, F1 hybrids obtained from a subset of 1341 accessions crossed to an A1 cytoplasmic male sterile line, ATx623, were scored for fertility/sterility reactions. Subsequently, genotyping-by-sequencing generated a total of 879,407 SNPs from which 72,190 robust SNP markers were selected after stringent quality control (QC). Pairwise distance-based hierarchical clustering identified 11 distinct groups. Of the genotypes assigned to either one of the 11 sub-populations, 65% had high ancestry membership coefficient with the likelihood of more than 0.60 and the remaining 35% represented highly admixed accessions. A genome-wide association study (GWAS) identified loci and SNPs associated with aforementioned traits. GWAS based on compressed mixed linear model (CMLM) identified SNPs with significant association (FDR ≤ 0.05) to the different traits studied. The percentage of total phenotypic variation explained with significant SNPs across traits ranged from 2 to 43%. Candidate genes showing significant association with different traits were identified. The sorghum

Identifiants

pubmed: 31191590
doi: 10.3389/fpls.2019.00691
pmc: PMC6549537
doi:

Types de publication

Journal Article

Langues

eng

Pagination

691

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Auteurs

Gezahegn Girma (G)

Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, United States.

Habte Nida (H)

Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, United States.

Amare Seyoum (A)

Malkassa Agricultural Research Center, Ethiopian Institute of Agricultural Research, Adama, Ethiopia.

Moges Mekonen (M)

Chiro Agricultural Research Center, Ethiopian Institute of Agricultural Research, Chiro, Ethiopia.

Amare Nega (A)

Malkassa Agricultural Research Center, Ethiopian Institute of Agricultural Research, Adama, Ethiopia.

Dagnachew Lule (D)

Bako Agricultural Research Center, Oromia Agricultural Research Institute, Bako, Ethiopia.

Kebede Dessalegn (K)

Bako Agricultural Research Center, Oromia Agricultural Research Institute, Bako, Ethiopia.

Alemnesh Bekele (A)

School of Plant Sciences, Haramaya University, Dire Dawa, Ethiopia.

Adane Gebreyohannes (A)

Malkassa Agricultural Research Center, Ethiopian Institute of Agricultural Research, Adama, Ethiopia.

Adedayo Adeyanju (A)

Department of Agronomy, Purdue University, West Lafayette, IN, United States.

Alemu Tirfessa (A)

Malkassa Agricultural Research Center, Ethiopian Institute of Agricultural Research, Adama, Ethiopia.

Getachew Ayana (G)

Malkassa Agricultural Research Center, Ethiopian Institute of Agricultural Research, Adama, Ethiopia.

Taye Taddese (T)

Malkassa Agricultural Research Center, Ethiopian Institute of Agricultural Research, Adama, Ethiopia.

Firew Mekbib (F)

School of Plant Sciences, Haramaya University, Dire Dawa, Ethiopia.

Ketema Belete (K)

School of Plant Sciences, Haramaya University, Dire Dawa, Ethiopia.

Tesfaye Tesso (T)

Department of Agronomy, Kansas State University, Manhattan, KS, United States.

Gebisa Ejeta (G)

Department of Agronomy, Purdue University, West Lafayette, IN, United States.

Tesfaye Mengiste (T)

Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, United States.

Classifications MeSH