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Long evolutionary history of an emerging fungal pathogen of diverse tree species in eastern Asia, Australia and the Pacific Islands.

作者信息

Kozhar Olga, Kim Mee-Sook, Ibarra Caballero Jorge, Klopfenstein Ned B, Cannon Phil G, Stewart Jane E

机构信息

Colorado State University, Fort Collins, Colorado, USA.

USDA Forest Service, Pacific Northwest Research Station, Corvallis, Oregon, USA.

出版信息

Mol Ecol. 2022 Apr;31(7):2013-2031. doi: 10.1111/mec.16384. Epub 2022 Feb 19.

Abstract

Emerging plant pathogens have been increasing exponentially over the last century. To address this issue, it is critical to determine whether these pathogens are native to ecosystems or have been recently introduced. Understanding the ecological and evolutionary processes fostering emergence can help to manage their spread and predict epidemics/epiphytotics. Using restriction site-associated DNA sequencing data, we studied genetic relationships, pathways of spread and the evolutionary history of Phellinus noxius, an emerging root-rotting fungus of unknown origin, in eastern Asia, Australia and the Pacific Islands. We analysed patterns of genetic variation using Bayesian inference, maximum-likelihood phylogeny, population splits and mixtures measuring correlations in allele frequencies and genetic drift, and finally applied coalescent-based theory using Approximate Bayesian computation (ABC) with supervised machine learning. Population structure analyses revealed five genetic groups with signatures of complex recent and ancient migration histories. The most probable scenario of ancient pathogen spread is movement from an unsampled population to Malaysia and the Pacific Islands, with subsequent spread to Taiwan and Australia. Furthermore, ABC analyses indicate P. noxius spread occurred thousands of generations ago, contradicting previous assumptions that this pathogen was recently introduced to multiple geographical regions. Our results suggest that recent emergence of P. noxius in eastern Asia, Australia and the Pacific Islands has probably been driven by anthropogenic and natural disturbances, such as deforestation, land-use change, severe weather events and/or introduction of exotic plants. This study provides a novel example of applying genome-wide allele frequency data to unravel the dynamics of pathogen emergence under changing ecosystem conditions.

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