Academic Journal

Population Genomics of Bacterial Plant Pathogens.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Population Genomics of Bacterial Plant Pathogens.
Συγγραφείς: Straub C; Institute of Environmental Science and Research, Health and Environment, Auckland, New Zealand.; Genomics Aotearoa, New Zealand., Colombi E; Curtin Health Innovation Research Institute (CHIRI), Curtin University, Perth, Western Australia, Australia.; School of Pharmacy and Biomedical Sciences, Curtin University, Perth, Western Australia, Australia., McCann HC; New Zealand Institute for Advanced Study, Massey University, Albany, New Zealand.; Max Planck Institute for Developmental Biology, Tübingen, Germany.
Πηγή: Phytopathology [Phytopathology] 2021 Jan; Vol. 111 (1), pp. 23-31. Date of Electronic Publication: 2020 Dec 11.
Τύπος έκδοσης: Journal Article; Review
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: American Phytopathological Society] Country of Publication: United States NLM ID: 9427222 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0031-949X (Print) Linking ISSN: 0031949X NLM ISO Abbreviation: Phytopathology Subsets: MEDLINE
Imprint Name(s): Original Publication: [St. Paul, Minn., etc., American Phytopathological Society]
Ιατρικοί όροι (MeSH): Metagenomics* , Plant Diseases*, Bacteria ; Crops, Agricultural ; Virulence
Περίληψη: Population genomics is transforming our understanding of pathogen biology and evolution, and contributing to the prevention and management of disease in diverse crops. We provide an overview of key methods in bacterial population genomics and describe recent work focusing on three topics of critical importance to plant pathology: (i) resolving pathogen origins and transmission pathways during outbreak events, (ii) identifying the genetic basis of host specificity and virulence, and (iii) understanding how pathogens evolve in response to changing agricultural practices.[Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
Contributed Indexing: Keywords: bacterial evolution; bacterial genomics; bacterial pathogens; disease emergence; diseases in natural plant populations; evolution; plant−pathogen interactions; population genomics
Entry Date(s): Date Created: 20201112 Date Completed: 20210202 Latest Revision: 20220531
Update Code: 20260130
DOI: 10.1094/PHYTO-09-20-0412-RVW
PMID: 33179999
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:0031-949X
DOI:10.1094/PHYTO-09-20-0412-RVW