Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45504
Title: A Molecular Survey of the Occurrence of Coffee Berry Disease Resistant Coffee Cultivars Near the Wild Gene Pool of Arabica Coffee in Its Region of Origin in Southwest Ethiopia
Authors: BAWIN, Yves 
Zewdie, Beyene
Ayalew, Biruk
Roldán‐Ruiz, Isabel
Janssens, Steven B.
Tack, Ayco J. M.
Nemomissa, Sileshi
Tesfaye, Kassahun
Hylander, Kristoffer
Honnay, Olivier
Ruttink, Tom
Issue Date: 2025
Publisher: 
Source: Molecular Ecology Resources, (Art N° e14085)
Status: Early view
Abstract: Cultivation of crops close to their wild relatives may jeopardise the integrity of wild genetic resources. Detecting cultivars among wild plants is necessary to characterise crop-wild gene flow, but can be challenging if cultivars and wild plants are phenotyp-ically highly similar. Genomics tools can be used instead, but the selection of diagnostic loci for cultivar identification can be difficult if the wild and cultivated genepools are closely related. In Ethiopia, Arabica coffee cultivars resistant to coffee berry disease (CBD) occur near wild Coffea arabica plants and local landraces. However, the abundance and distribution of these culti-vars across coffee sites remains unclear. Here, we present a new module of the SMAP package called SMAP relatedness pairwise to characterise pairwise genetic relationships between individuals based on haplotype calls and to identify diagnostic loci that distinguish (sets of) individuals from each other. Next, we estimate the relative abundance of CBD-resistant cultivars across 60 Ethiopian Arabica coffee sites using a genome-wide fingerprinting approach. We confirm the presence of these cultivars in around 75% of the coffee sites with a high agreement between a field survey and our DNA fingerprinting approach. At least 20 out of 60 sites with supposedly wild C. arabica individuals contain signatures of the cultivated genepool. Overall, we conclude that CBD-resistant cultivars are widespread in Ethiopian coffee sites. The development of SMAP relatedness pairwise opens opportunities to assess the distribution of coffee cultivars in other regions in Ethiopia and to apply similar screenings near wild relatives from other crops.
Keywords: Arabica coffee;coffee berry disease;cultivar identification;haplotype frequency profiling;molecular survey;SMAP <italic>relatedness pairwise</italic>
Document URI: http://hdl.handle.net/1942/45504
ISSN: 1755-098X
e-ISSN: 1755-0998
DOI: 10.1111/1755-0998.14085
ISI #: 001427007100001
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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