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Genotyping‐by‐sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation

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...

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Autores principales: Bendaoud, Farah, Kim, Gunjune, Larose, Hailey, Westwood, James H., Zermane, Nadjia, Haak, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948082/
https://www.ncbi.nlm.nih.gov/pubmed/35356582
http://dx.doi.org/10.1002/ece3.8750
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author Bendaoud, Farah
Kim, Gunjune
Larose, Hailey
Westwood, James H.
Zermane, Nadjia
Haak, David C.
author_facet Bendaoud, Farah
Kim, Gunjune
Larose, Hailey
Westwood, James H.
Zermane, Nadjia
Haak, David C.
author_sort Bendaoud, Farah
collection PubMed
description 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.
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spelling pubmed-89480822022-03-29 Genotyping‐by‐sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation Bendaoud, Farah Kim, Gunjune Larose, Hailey Westwood, James H. Zermane, Nadjia Haak, David C. Ecol Evol Research Articles 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. John Wiley and Sons Inc. 2022-03-24 /pmc/articles/PMC8948082/ /pubmed/35356582 http://dx.doi.org/10.1002/ece3.8750 Text en © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Bendaoud, Farah
Kim, Gunjune
Larose, Hailey
Westwood, James H.
Zermane, Nadjia
Haak, David C.
Genotyping‐by‐sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation
title Genotyping‐by‐sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation
title_full Genotyping‐by‐sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation
title_fullStr Genotyping‐by‐sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation
title_full_unstemmed Genotyping‐by‐sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation
title_short Genotyping‐by‐sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation
title_sort genotyping‐by‐sequencing analysis of orobanche crenata populations in algeria reveals genetic differentiation
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948082/
https://www.ncbi.nlm.nih.gov/pubmed/35356582
http://dx.doi.org/10.1002/ece3.8750
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