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Taliadoros D, Feurtey A, Wyatt N, Barrès B, Gladieux P, Friesen TL, Stukenbrock EH. Emergence and spread of the barley net blotch pathogen coincided with crop domestication and cultivation history. PLoS Genet 2024; 20:e1010884. [PMID: 38285729 PMCID: PMC10852282 DOI: 10.1371/journal.pgen.1010884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 02/08/2024] [Accepted: 12/11/2023] [Indexed: 01/31/2024] Open
Abstract
Fungal pathogens cause devastating disease in crops. Understanding the evolutionary origin of pathogens is essential to the prediction of future disease emergence and the potential of pathogens to disperse. The fungus Pyrenophora teres f. teres causes net form net blotch (NFNB), an economically significant disease of barley. In this study, we have used 104 P. teres f. teres genomes from four continents to explore the population structure and demographic history of the fungal pathogen. We showed that P. teres f. teres is structured into populations that tend to be geographically restricted to different regions. Using Multiple Sequentially Markovian Coalescent and machine learning approaches we demonstrated that the demographic history of the pathogen correlates with the history of barley, highlighting the importance of human migration and trade in spreading the pathogen. Exploring signatures of natural selection, we identified several population-specific selective sweeps that colocalized with genomic regions enriched in putative virulence genes, and loci previously identified as determinants of virulence specificities by quantitative trait locus analyses. This reflects rapid adaptation to local hosts and environmental conditions of P. teres f. teres as it spread with barley. Our research highlights how human activities can contribute to the spread of pathogens that significantly impact the productivity of field crops.
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Affiliation(s)
- Demetris Taliadoros
- Environmental Genomics, Max Planck Institute for Evolutionary Biology, Plön, Germany
- Christian-Albrechts University of Kiel, Kiel, Germany
| | - Alice Feurtey
- Environmental Genomics, Max Planck Institute for Evolutionary Biology, Plön, Germany
- Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland
- Plant Pathology, D-USYS, Zurich, Switzerland
| | - Nathan Wyatt
- Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, North Dakota, United States of America
- Sugar Beet and Potato Research Unit, Edward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, North Dakota, United States of America
| | - Benoit Barrès
- Université de Lyon, Anses, INRAE, USC CASPER, Lyon, France
| | - Pierre Gladieux
- PHIM Plant Health Institute, Univ Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France
| | - Timothy L. Friesen
- Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, North Dakota, United States of America
| | - Eva H. Stukenbrock
- Environmental Genomics, Max Planck Institute for Evolutionary Biology, Plön, Germany
- Christian-Albrechts University of Kiel, Kiel, Germany
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The use of evolutionary analyses to predict functionally relevant traits in filamentous plant pathogens. Curr Opin Microbiol 2023; 73:102244. [PMID: 36889024 DOI: 10.1016/j.mib.2022.102244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 10/27/2022] [Accepted: 11/03/2022] [Indexed: 03/08/2023]
Abstract
Identifying traits involved in plant-pathogen interactions is one of the major objectives in molecular plant pathology. Evolutionary analyses may assist in the identification of genes encoding traits that are involved in virulence and local adaptation, including adaptation to agricultural intervention strategies. In the past decades, the number of available genome sequences of fungal plant pathogens has rapidly increased, providing a rich source for the discovery of functionally important genes as well as inference of species histories. Positive selection in the form of diversifying or directional selection leaves particular signatures in genome alignments and can be identified with statistical genetics methods. This review summarises the concepts and approaches used in evolutionary genomics and lists major discoveries related to plant-pathogen adaptative evolution. We underline the significant contribution of evolutionary genomics in discovering virulence-related traits and the study of plant-pathogen ecology and adaptive evolution.
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Wang X, Xiao Q, Xu Y, Meng L, Chen Y, Lu D, Luo Q. Genome Sequence Resource of an Avirulent Magnaporthe oryzae Field Strain AM16. PLANT DISEASE 2022; 106:2243-2246. [PMID: 35728097 DOI: 10.1094/pdis-01-22-0040-a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Xingli Wang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan; Ministry of Education Key Laboratory of Agricultural Biodiversity for Plant Disease Management, Yunnan Agricultural University, 650201 Kunming, China
| | - Qian Xiao
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan; Ministry of Education Key Laboratory of Agricultural Biodiversity for Plant Disease Management, Yunnan Agricultural University, 650201 Kunming, China
| | - Yan Xu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan; Ministry of Education Key Laboratory of Agricultural Biodiversity for Plant Disease Management, Yunnan Agricultural University, 650201 Kunming, China
| | - Li Meng
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan; Ministry of Education Key Laboratory of Agricultural Biodiversity for Plant Disease Management, Yunnan Agricultural University, 650201 Kunming, China
| | - Yali Chen
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan; Ministry of Education Key Laboratory of Agricultural Biodiversity for Plant Disease Management, Yunnan Agricultural University, 650201 Kunming, China
| | - Daihua Lu
- Institute of Plant Protection, Sichuan Academy of Agricultural Sciences, 610000 Chengdu, China
| | - Qiong Luo
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan; Ministry of Education Key Laboratory of Agricultural Biodiversity for Plant Disease Management, Yunnan Agricultural University, 650201 Kunming, China
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