Evidence map›Paper›PMID 40890595›Full record

ArticleBMC plant biology2025

Multi-locus genome-wide association studies for root system architectural traits in Ethiopian sorghum (Sorghum bicolor L.) landraces.

Abel Debebe Mitiku, Tileye Feyissa, Alemu Tirfessa Woldetensaye, Habte Nida Chikssa, Temesgen Matiwos Menamo, Tewodros Mesfin Abebe, Kassahun Bante

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Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Abel Debebe MitikuAddis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia. aabbeelldebebe@gmail.com.
Tileye FeyissaAddis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia.
Alemu Tirfessa WoldetensayeKansas State University, 148 Waters Hall, 1603 Old Claflin Place, Manhattan, KS, 66506, USA.
Habte Nida ChikssaDepartments of Botany and Plant Pathology, Purdue University, West Lafayette, IN, USA.
Temesgen Matiwos MenamoDepartment of Horticulture and Plant Science, College of Agriculture and Veterinary Medicine, Jimma University, P.O. Box 307, Jimma, Ethiopia.
Tewodros Mesfin AbebeAlliance of Bioversity International-CIAT (ABC), Addis Ababa, Ethiopia.
Kassahun BanteDepartment of Horticulture and Plant Science, College 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

backgroundDrought is a major constraint to sorghum production. Developing drought-tolerant sorghum varieties is crucial. Optimal root system architecture (RSA) plays a vital role in plant adaptation and productivity under water- limited environment. Genetic assessments of untapped Ethiopian core sorghum germplasm to identify quantitative trait nucleotides (QTN) for RSA traits are crucial. Therefore, this study aimed to identify genetic markers associated with seven RSA and related traits in 182 Ethiopian core sorghum-landraces using multi locus genome-wide association studies (ML-GWAS) using SNP markers.

resultsThe germplasm exhibited substantial phenotypic variation for all measured traits. Genome-wide association analysis identified 181 significant QTNs (LOD ≥ 4) associated with nodal root angle (NRA), shoot traits (length, number, dry weight), and RSA (angle, number, dry weight) across six multi-locus GWAS models. Notably, 73 of these QTNs were consistently detected by at least two ML-GWAS methods. A total of 132 potential candidate genes, ranging from 13 to 25 genes per marker trait for the QTNs, were found about 18kbp LD decay of the significant QTNs using biomaRt. Of these, 13 genes were functionally annotated and involved in various biological processes.

conclusionsFollowing the validation of candidate genes for root architecture and related traits, the core collection can be utilized to develop water-efficient sorghum varieties.

Indexed as

Plant RootsSorghumEthiopiaGenetic MarkersGenome, PlantGenome-Wide Association StudyPhenotypePolymorphism, Single NucleotideQuantitative Trait LociGenetic MarkersBiomaRtLOD scoresML-GWASNodal root angleQTNsRSASNP

Identifiers

PMID40890595
PMCPMC12403320

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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.