2020
DOI: 10.1038/s41438-020-00409-7
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Accumulation of mutations in genes associated with sexual reproduction contributed to the domestication of a vegetatively propagated staple crop, enset

Abstract: Enset (Ensete ventricosum (Welw.) Cheesman) is a drought tolerant, vegetatively propagated crop that was domesticated in Ethiopia. It is a staple food for more than 20 million people in Ethiopia. Despite its current importance and immense potential, enset is among the most genetically understudied and underexploited food crops. We collected 230 enset wild and cultivated accessions across the main enset producing regions in Ethiopia and applied amplified fragment length polymorphism (AFLP) and genotype by seque… Show more

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Cited by 13 publications
(16 citation statements)
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“… 2020 ; Tesfamicael et al . 2020 ). In this study, we show evidence that the indigenous Ethiopian vegetative crop enset has retained viable sexual reproductive potential through domestication.…”
Section: Discussionmentioning
confidence: 99%
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“… 2020 ; Tesfamicael et al . 2020 ). In this study, we show evidence that the indigenous Ethiopian vegetative crop enset has retained viable sexual reproductive potential through domestication.…”
Section: Discussionmentioning
confidence: 99%
“…( 2013 ), they differs substantially from those of Tesfamicael et al . ( 2020 ), who suggested that selection has favoured vegetative growth over capacity for sexual reproduction. Whilst Tesfamicael et al .…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Libraries were sequenced using the Illumina Hi-Seq 2500 platform with output of 150 bp single end reads. Single nucleotide polymorphism (SNP) calling was performed using the reference-based GBS pipeline (Torkamaneh, Laroche, and Belzile 2016) as described by Tesfamicael et al (2020). Before SNP calling, sequence reads were filtered for those harboring identical matches to barcodes, minimum kmer count (< 10) and kmer Length (< 20).…”
Section: Nucleic Acid Extraction Gbs Library Preparation and Snp Analysismentioning
confidence: 99%