Population genomics of Digitaria insularis from soybean areas in Brazil.
adaptation
admixture
glyphosate resistance
herbicide resistance
sourgrass
weed genomics
Journal
Pest management science
ISSN: 1526-4998
Titre abrégé: Pest Manag Sci
Pays: England
ID NLM: 100898744
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
received:
02
07
2021
accepted:
24
07
2021
pubmed:
25
7
2021
medline:
12
11
2021
entrez:
24
7
2021
Statut:
ppublish
Résumé
Digitaria insularis is a weed species that has gained considerable importance in Brazil's soybean production areas that rely on glyphosate-resistant cultivars. Herbicide-resistant weed populations of this species have been reported in many regions in Brazil, first in the south, followed by later reports in the north. We hypothesized that the spread of herbicide-resistant D. insularis is facilitated by movement of agricultural machinery from the southern regions of Brazil. Population genomics revealed a weak or no genetic structure (F Evidence in our work suggests that gene flow of glyphosate-resistant D. insularis is associated with movement of agricultural machinery, although local selection pressure seems to play an important role in the evolution of herbicide resistance throughout the country. Our results suggest preventive practices such as equipment sanitation should be implemented to limit the spread of herbicide resistant D. insularis. © 2021 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Sections du résumé
BACKGROUND
BACKGROUND
Digitaria insularis is a weed species that has gained considerable importance in Brazil's soybean production areas that rely on glyphosate-resistant cultivars. Herbicide-resistant weed populations of this species have been reported in many regions in Brazil, first in the south, followed by later reports in the north. We hypothesized that the spread of herbicide-resistant D. insularis is facilitated by movement of agricultural machinery from the southern regions of Brazil.
RESULTS
RESULTS
Population genomics revealed a weak or no genetic structure (F
CONCLUSION
CONCLUSIONS
Evidence in our work suggests that gene flow of glyphosate-resistant D. insularis is associated with movement of agricultural machinery, although local selection pressure seems to play an important role in the evolution of herbicide resistance throughout the country. Our results suggest preventive practices such as equipment sanitation should be implemented to limit the spread of herbicide resistant D. insularis. © 2021 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Identifiants
pubmed: 34302709
doi: 10.1002/ps.6577
pmc: PMC9291757
doi:
Substances chimiques
Herbicides
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5375-5381Subventions
Organisme : Bayer Crop Science
Organisme : University of Campinas
Informations de copyright
© 2021 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Références
Mol Ecol. 2019 Nov;28(21):4737-4754
pubmed: 31550391
Proc Natl Acad Sci U S A. 1973 Dec;70(12):3321-3
pubmed: 4519626
Ecol Evol. 2017 Sep 07;7(20):8316-8328
pubmed: 29075451
Pest Manag Sci. 2018 Oct;74(10):2216-2225
pubmed: 29687580
Front Plant Sci. 2021 Jan 22;11:609209
pubmed: 33552102
Pest Manag Sci. 2015 Mar;71(3):357-76
pubmed: 25346235
Bioinformatics. 2008 Jun 1;24(11):1403-5
pubmed: 18397895
Pest Manag Sci. 2017 Jun;73(6):1045-1052
pubmed: 28160383
Evol Appl. 2017 Apr 18;10(6):616-629
pubmed: 28616068
Nat Protoc. 2017 Dec;12(12):2640-2659
pubmed: 29189774
PLoS One. 2011 May 04;6(5):e19379
pubmed: 21573248
PeerJ. 2014 Mar 04;2:e281
pubmed: 24688859
Nat Commun. 2017 Apr 10;8:14865
pubmed: 28393866
Pest Manag Sci. 2021 May;77(5):2209-2218
pubmed: 33300265
Trends Ecol Evol. 2014 Sep;29(9):521-30
pubmed: 25038023
Science. 2018 Nov 23;362(6417):
pubmed: 30467142
Genome Res. 2009 Sep;19(9):1655-64
pubmed: 19648217
Pestic Biochem Physiol. 2020 Mar;164:1-6
pubmed: 32284114
Genetics. 2008 Oct;180(2):977-93
pubmed: 18780740
Pest Manag Sci. 2021 Mar;77(3):1520-1529
pubmed: 33155426