Genotyping‐by‐sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation. Issue 3 (24th March 2022)

• Record Type: Journal Article
• Authors: Bendaoud, Farah; Kim, Gunjune; Larose, Hailey; Westwood, James H.; Zermane, Nadjia; Haak, David C.
• Is Part Of: Ecology and evolution. Volume 12:Issue 3(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-03-24
• Subjects: Algeria -- GBS -- genetic diversity -- genotyping by sequencing -- Orobanche crenata -- population structure; Ecology -- Periodicals; Evolution -- Periodicals; 577.05
• DOI: 10.1002/ece3.8750
• Languages: English
• ISSNs: 2045-7758

Abstract

Abstract: Crenate broomrape ( Orobanche crenata Forsk.) is a serious long‐standing parasitic weed problem in Algeria, mainly affecting legumes but also vegetable crops. Unresolved questions for parasitic weeds revolve around the extent to which these plants undergo local adaptation, especially with respect to host specialization, which would be expected to be a strong selective factor for obligate parasitic plants. In the present study, the genotyping‐by‐sequencing (GBS) approach was used to analyze genetic diversity and population structure of 10 Northern Algerian O . crenata populations with different geographical origins and host species (faba bean, pea, chickpea, carrot, and tomato). In total, 8004 high‐quality single‐nucleotide polymorphisms (5% missingness) were obtained and used across the study. Genetic diversity and relationships of 95 individuals from 10 populations were studied using model‐based ancestry analysis, principal components analysis, discriminant analysis of principal components, and phylogeny approaches. The genetic differentiation ( F ST ) between pairs of populations was lower between adjacent populations and higher between geographically separated ones, but no support was found for isolation by distance. Further analyses identified four genetic clusters and revealed evidence of structuring among populations and, although confounded with location, among hosts. In the clearest example, O . crenata growing on pea had a SNP profile that was distinct from other host/location combinations. These results illustrate the importance and potential of GBS to reveal the dynamics of parasitic weed dispersal and population structure. Abstract : Understanding the factors that shape obligate parasitic plant populations provides an important window on the evolutionary history of these unique plants. Using GBS‐derived markers across a number of Orobanche crenata populations we identified population genetic structure associated with A) geographic location and B) host plants. These data suggest that differentiation among these populations could result from the interaction of geographic separation and host specialization.