The diversity and evolutionary relationships of ticks and tick-borne bacteria collected in China.
Bacteria
Co-divergence
Evolution
Metagenomics
Phylogeny
Ticks
Journal
Parasites & vectors
ISSN: 1756-3305
Titre abrégé: Parasit Vectors
Pays: England
ID NLM: 101462774
Informations de publication
Date de publication:
01 Oct 2022
01 Oct 2022
Historique:
received:
17
03
2022
accepted:
13
09
2022
entrez:
1
10
2022
pubmed:
2
10
2022
medline:
5
10
2022
Statut:
epublish
Résumé
Ticks (order Ixodida) are ectoparasites, vectors and reservoirs of many infectious agents affecting humans and domestic animals. However, the lack of information on tick genomic diversity leaves significant gaps in the understanding of the evolution of ticks and associated bacteria. We collected > 20,000 contemporary and historical (up to 60 years of preservation) tick samples representing a wide range of tick biodiversity across diverse geographic regions in China. Metagenomic sequencing was performed on individual ticks to obtain the complete or near-complete mitochondrial (mt) genome sequences from 46 tick species, among which mitochondrial genomes of 23 species were recovered for the first time. These new mt genomes data greatly expanded the diversity of many tick groups and revealed five cryptic species. Utilizing the same metagenomic sequence data we identified divergent and abundant bacteria in Haemaphysalis, Ixodes, Dermacentor and Carios ticks, including nine species of pathogenetic bacteria and potentially new species within the genus Borrelia. We also used these data to explore the evolutionary relationship between ticks and their associated bacteria, revealing a pattern of long-term co-divergence relationship between ticks and Rickettsia and Coxiella bacteria. In sum, our study provides important new information on the genetic diversity of ticks based on an analysis of mitochondrial DNA as well as on the prevalence of tick-borne pathogens in China. It also sheds new light on the long-term evolutionary and ecological relationships between ticks and their associated bacteria.
Sections du résumé
BACKGROUND
BACKGROUND
Ticks (order Ixodida) are ectoparasites, vectors and reservoirs of many infectious agents affecting humans and domestic animals. However, the lack of information on tick genomic diversity leaves significant gaps in the understanding of the evolution of ticks and associated bacteria.
RESULTS
RESULTS
We collected > 20,000 contemporary and historical (up to 60 years of preservation) tick samples representing a wide range of tick biodiversity across diverse geographic regions in China. Metagenomic sequencing was performed on individual ticks to obtain the complete or near-complete mitochondrial (mt) genome sequences from 46 tick species, among which mitochondrial genomes of 23 species were recovered for the first time. These new mt genomes data greatly expanded the diversity of many tick groups and revealed five cryptic species. Utilizing the same metagenomic sequence data we identified divergent and abundant bacteria in Haemaphysalis, Ixodes, Dermacentor and Carios ticks, including nine species of pathogenetic bacteria and potentially new species within the genus Borrelia. We also used these data to explore the evolutionary relationship between ticks and their associated bacteria, revealing a pattern of long-term co-divergence relationship between ticks and Rickettsia and Coxiella bacteria.
CONCLUSIONS
CONCLUSIONS
In sum, our study provides important new information on the genetic diversity of ticks based on an analysis of mitochondrial DNA as well as on the prevalence of tick-borne pathogens in China. It also sheds new light on the long-term evolutionary and ecological relationships between ticks and their associated bacteria.
Identifiants
pubmed: 36182913
doi: 10.1186/s13071-022-05485-3
pii: 10.1186/s13071-022-05485-3
pmc: PMC9526939
doi:
Substances chimiques
DNA, Mitochondrial
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
352Subventions
Organisme : "Medical youth top talent project of Hubei" Fellowship and Science and Technology Project of Jiangxi
ID : 20142BBG70097
Organisme : Australian Research Council Australia Laureate Fellowship
ID : FL170100022
Organisme : Shenzhen Science and Technology Program
ID : KQTD20200820145822023
Organisme : Guangdong Province "Pearl River Talent Plan" Innovation and Entrepreneurship Team Project
ID : 2019ZT08Y464
Informations de copyright
© 2022. The Author(s).
Références
Algorithms Mol Biol. 2010 Feb 03;5:16
pubmed: 20181081
Bioinformatics. 2007 Apr 1;23(7):898-900
pubmed: 17267434
Nucleic Acids Res. 1995 Dec 25;23(24):4992-9
pubmed: 8559656
J Mol Evol. 2006 Aug;63(2):251-61
pubmed: 16830100
EBioMedicine. 2019 May;43:317-324
pubmed: 31003930
Mol Ecol. 2017 Jun;26(11):2905-2921
pubmed: 28281305
Parasit Vectors. 2018 Aug 14;11(1):469
pubmed: 30107820
Microorganisms. 2020 Aug 25;8(9):
pubmed: 32854447
Parasit Vectors. 2019 Sep 13;12(1):451
pubmed: 31519208
Parasit Vectors. 2014 Nov 19;7:512
pubmed: 25406413
Nat Commun. 2017 Dec 12;8(1):1924
pubmed: 29233973
BMC Infect Dis. 2019 Sep 11;19(1):796
pubmed: 31510926
Nat Methods. 2012 Jun 10;9(8):811-4
pubmed: 22688413
Sci Data. 2019 Jul 1;6(1):105
pubmed: 31263100
Ticks Tick Borne Dis. 2012 Dec;3(5-6):271-8
pubmed: 23177355
N Engl J Med. 2011 Apr 21;364(16):1523-32
pubmed: 21410387
Emerg Infect Dis. 2004 May;10(5):810-7
pubmed: 15200813
Infect Genet Evol. 2008 May;8(3):239-46
pubmed: 17921073
Mol Biol Evol. 2013 Apr;30(4):772-80
pubmed: 23329690
Clin Microbiol Rev. 2013 Oct;26(4):657-702
pubmed: 24092850
Bioinformatics. 2015 May 15;31(10):1674-6
pubmed: 25609793
Nat Rev Microbiol. 2008 May;6(5):375-86
pubmed: 18414502
Vector Borne Zoonotic Dis. 2021 Mar;21(3):162-171
pubmed: 33347789
Genome Announc. 2014 Jan 16;2(1):
pubmed: 24435869
N Engl J Med. 2013 Sep 19;369(12):1178-80
pubmed: 24047080
Emerg Infect Dis. 2020 Oct;26(10):2530-2532
pubmed: 32946736
Exp Appl Acarol. 2019 Mar;77(3):425-433
pubmed: 30805816
J Virol. 2001 Dec;75(23):11686-99
pubmed: 11689650
PLoS One. 2013 Nov 04;8(11):e78473
pubmed: 24223812
Arch Insect Biochem Physiol. 2019 Nov;102(3):e21544
pubmed: 30859631
Nat Rev Genet. 2010 Jul;11(7):465-75
pubmed: 20517341
Appl Environ Microbiol. 2012 Jun;78(12):4149-56
pubmed: 22504806
Mol Biol Evol. 2011 Oct;28(10):2731-9
pubmed: 21546353
Parasit Vectors. 2012 Jan 19;5:19
pubmed: 22257726
Infect Immun. 2009 Feb;77(2):642-56
pubmed: 19047403
BMC Evol Biol. 2014 Jul 30;14:167
pubmed: 25073875
Cell. 2020 Sep 3;182(5):1328-1340.e13
pubmed: 32814014
BMC Genomics. 2019 Jun 5;20(1):441
pubmed: 31164106
Nat Methods. 2012 Mar 04;9(4):357-9
pubmed: 22388286
Mol Biol Evol. 2004 Jan;21(1):45-57
pubmed: 12949128
PLoS One. 2011;6(8):e23675
pubmed: 21858204
Korean J Parasitol. 2018 Jun;56(3):305-308
pubmed: 29996637
Parasit Vectors. 2015 Jan 14;8:24
pubmed: 25586007
Cancer Res. 1967 Feb;27(2):209-20
pubmed: 6018555
Bioinformatics. 2003 Aug 12;19(12):1572-4
pubmed: 12912839
Mol Biol Evol. 2018 Feb 1;35(2):518-522
pubmed: 29077904
Exp Appl Acarol. 2021 Jan;83(1):115-130
pubmed: 33196908
Mol Biol Evol. 2015 Jan;32(1):268-74
pubmed: 25371430
MMWR Morb Mortal Wkly Rep. 2018 May 04;67(17):496-501
pubmed: 29723166
Annu Rev Genet. 2008;42:165-90
pubmed: 18983256
Bioinformatics. 2009 Aug 1;25(15):1972-3
pubmed: 19505945
J Mol Evol. 2007 Nov;65(5):589-604
pubmed: 17925995
PLoS One. 2018 Dec 26;13(12):e0208432
pubmed: 30586413
BMC Public Health. 2016 Apr 05;16:297
pubmed: 27048480
Parasitology. 2007 Feb;134(Pt 2):153-67
pubmed: 17032475
Mol Biotechnol. 1995 Jun;3(3):221-4
pubmed: 7552691
Microbiol Spectr. 2016 Jun;4(3):
pubmed: 27337487
Nat Methods. 2017 Jun;14(6):587-589
pubmed: 28481363
Mol Gen Mikrobiol Virusol. 2012;(3):14-7
pubmed: 22984767
J Mol Biol. 1990 Oct 5;215(3):403-10
pubmed: 2231712
Mol Biol Evol. 2005 Mar;22(3):620-9
pubmed: 15537802
Emerg Infect Dis. 2020 May;26(5):985-988
pubmed: 32310072
Ticks Tick Borne Dis. 2021 Jan;12(1):101577
pubmed: 33120251