Species-Level Profiling of Ixodes pacificus Bacterial Microbiomes Reveals High Variability Across Short Spatial Scales at Different Taxonomic Resolutions
Outbreaks of severe and chronic tick-borne diseases (TBDs) are on the rise. This is through the transmission of infectious disease agents to humans during tick feeding. The transmission rate and extent of microbial exchange, however, vary based on the tick microbiome composition. While select microb...
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Veröffentlicht in: | Genetic testing and molecular biomarkers 2021-08, Vol.25 (8), p.551-562 |
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creator | Socarras, Kayla M Earl, Joshua P Krol, Jaroslaw E Bhat, Archana Pabilonia, Max Harrison, Meghan H Lang, Steven P Sen, Bhaswati Ahmed, Azad Hester, Michael Mell, Joshua Chang Vandegrift, Kurt Ehrlich, Garth D |
description | Outbreaks of severe and chronic tick-borne diseases (TBDs) are on the rise. This is through the transmission of infectious disease agents to humans during tick feeding. The transmission rate and extent of microbial exchange, however, vary based on the tick microbiome composition. While select microbes are determined to be members of the normal tick microbiome and others are clearly recognized mammalian and/or avian pathogens, the status of many other members of the tick microbiota with respect to human and alternate host pathogenesis remains unclear. Moreover, the species-level 16S microbiome of prominent TBD vectors, including
, have not been extensively studied. To elucidate the
microbiome composition, we performed a pan-domain species-specific characterization of the bacterial microbiome on adult
ticks collected from two regional parks within Western California. Our methods provide for characterizing nuances within cohort microbiomes and their relationships to geo-locale of origin, surrounding fauna, and prevalences of known and suspected pathogens in relation to current TBD epidemiological zones.
Ninety-two adult
bacterial microbiomes were characterized using a high-fidelity, pan-domain, species-specific, full-length 16S rRNA amplification method using circular consensus sequencing performed on the Pacific Biosciences Sequel platform. Data analyses were performed with the MCSMRT data analysis package and database.
The species-specific
microbiome composition illustrates a complex assortment of microflora, including over 900 eubacterial species with high taxonomic diversity, which was revealed to vary by sex and geo-locale, though the use of full-length 16S gene sequencing. The TBD-associated pathogens, such as
,
, and
, were identified along with a host of bacteria previously unassociated with ticks.
Species-level taxonomic classification of the
microbiome revealed that full-length bacterial 16S gene sequencing is required for the granularity to elucidate the microbial diversity within and among ticks based on geo-locale. |
doi_str_mv | 10.1089/gtmb.2021.0088 |
format | Article |
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, have not been extensively studied. To elucidate the
microbiome composition, we performed a pan-domain species-specific characterization of the bacterial microbiome on adult
ticks collected from two regional parks within Western California. Our methods provide for characterizing nuances within cohort microbiomes and their relationships to geo-locale of origin, surrounding fauna, and prevalences of known and suspected pathogens in relation to current TBD epidemiological zones.
Ninety-two adult
bacterial microbiomes were characterized using a high-fidelity, pan-domain, species-specific, full-length 16S rRNA amplification method using circular consensus sequencing performed on the Pacific Biosciences Sequel platform. Data analyses were performed with the MCSMRT data analysis package and database.
The species-specific
microbiome composition illustrates a complex assortment of microflora, including over 900 eubacterial species with high taxonomic diversity, which was revealed to vary by sex and geo-locale, though the use of full-length 16S gene sequencing. The TBD-associated pathogens, such as
,
, and
, were identified along with a host of bacteria previously unassociated with ticks.
Species-level taxonomic classification of the
microbiome revealed that full-length bacterial 16S gene sequencing is required for the granularity to elucidate the microbial diversity within and among ticks based on geo-locale.</description><identifier>ISSN: 1945-0265</identifier><identifier>EISSN: 1945-0257</identifier><identifier>DOI: 10.1089/gtmb.2021.0088</identifier><identifier>PMID: 34406842</identifier><language>eng</language><publisher>United States: Mary Ann Liebert, Inc</publisher><subject>Animals ; Arachnids ; Bacteria ; California ; Composition ; Data analysis ; Disease transmission ; Domains ; Epidemiology ; Gene sequencing ; Infectious diseases ; Ixodes - genetics ; Ixodes - metabolism ; Ixodes - microbiology ; Ixodes pacificus ; Microbiomes ; Microbiota ; Microbiota - genetics ; Microflora ; Microorganisms ; Original ; Parasitic diseases ; Pathogenesis ; Pathogens ; RNA, Ribosomal, 16S - genetics ; rRNA 16S ; Sequence Analysis, DNA - methods ; Sequence Analysis, RNA - methods ; Species ; Species classification ; Species diversity ; Taxonomy ; Tick-borne diseases ; Tick-Borne Diseases - genetics ; Ticks ; Vectors</subject><ispartof>Genetic testing and molecular biomarkers, 2021-08, Vol.25 (8), p.551-562</ispartof><rights>Copyright Mary Ann Liebert, Inc. Aug 2021</rights><rights>Copyright 2021, Mary Ann Liebert, Inc., publishers 2021 Mary Ann Liebert, Inc., publishers</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-d1f7592010cf88dabce2904ea56087979c1eb65051e5b054bb964f6f897f7eff3</citedby><cites>FETCH-LOGICAL-c418t-d1f7592010cf88dabce2904ea56087979c1eb65051e5b054bb964f6f897f7eff3</cites><orcidid>0000-0003-0222-5636 ; 0000-0002-8901-2248</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34406842$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Socarras, Kayla M</creatorcontrib><creatorcontrib>Earl, Joshua P</creatorcontrib><creatorcontrib>Krol, Jaroslaw E</creatorcontrib><creatorcontrib>Bhat, Archana</creatorcontrib><creatorcontrib>Pabilonia, Max</creatorcontrib><creatorcontrib>Harrison, Meghan H</creatorcontrib><creatorcontrib>Lang, Steven P</creatorcontrib><creatorcontrib>Sen, Bhaswati</creatorcontrib><creatorcontrib>Ahmed, Azad</creatorcontrib><creatorcontrib>Hester, Michael</creatorcontrib><creatorcontrib>Mell, Joshua Chang</creatorcontrib><creatorcontrib>Vandegrift, Kurt</creatorcontrib><creatorcontrib>Ehrlich, Garth D</creatorcontrib><title>Species-Level Profiling of Ixodes pacificus Bacterial Microbiomes Reveals High Variability Across Short Spatial Scales at Different Taxonomic Resolutions</title><title>Genetic testing and molecular biomarkers</title><addtitle>Genet Test Mol Biomarkers</addtitle><description>Outbreaks of severe and chronic tick-borne diseases (TBDs) are on the rise. This is through the transmission of infectious disease agents to humans during tick feeding. The transmission rate and extent of microbial exchange, however, vary based on the tick microbiome composition. While select microbes are determined to be members of the normal tick microbiome and others are clearly recognized mammalian and/or avian pathogens, the status of many other members of the tick microbiota with respect to human and alternate host pathogenesis remains unclear. Moreover, the species-level 16S microbiome of prominent TBD vectors, including
, have not been extensively studied. To elucidate the
microbiome composition, we performed a pan-domain species-specific characterization of the bacterial microbiome on adult
ticks collected from two regional parks within Western California. Our methods provide for characterizing nuances within cohort microbiomes and their relationships to geo-locale of origin, surrounding fauna, and prevalences of known and suspected pathogens in relation to current TBD epidemiological zones.
Ninety-two adult
bacterial microbiomes were characterized using a high-fidelity, pan-domain, species-specific, full-length 16S rRNA amplification method using circular consensus sequencing performed on the Pacific Biosciences Sequel platform. Data analyses were performed with the MCSMRT data analysis package and database.
The species-specific
microbiome composition illustrates a complex assortment of microflora, including over 900 eubacterial species with high taxonomic diversity, which was revealed to vary by sex and geo-locale, though the use of full-length 16S gene sequencing. The TBD-associated pathogens, such as
,
, and
, were identified along with a host of bacteria previously unassociated with ticks.
Species-level taxonomic classification of the
microbiome revealed that full-length bacterial 16S gene sequencing is required for the granularity to elucidate the microbial diversity within and among ticks based on geo-locale.</description><subject>Animals</subject><subject>Arachnids</subject><subject>Bacteria</subject><subject>California</subject><subject>Composition</subject><subject>Data analysis</subject><subject>Disease transmission</subject><subject>Domains</subject><subject>Epidemiology</subject><subject>Gene sequencing</subject><subject>Infectious diseases</subject><subject>Ixodes - genetics</subject><subject>Ixodes - metabolism</subject><subject>Ixodes - microbiology</subject><subject>Ixodes pacificus</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Microbiota - genetics</subject><subject>Microflora</subject><subject>Microorganisms</subject><subject>Original</subject><subject>Parasitic diseases</subject><subject>Pathogenesis</subject><subject>Pathogens</subject><subject>RNA, Ribosomal, 16S - genetics</subject><subject>rRNA 16S</subject><subject>Sequence Analysis, DNA - methods</subject><subject>Sequence Analysis, RNA - methods</subject><subject>Species</subject><subject>Species classification</subject><subject>Species diversity</subject><subject>Taxonomy</subject><subject>Tick-borne diseases</subject><subject>Tick-Borne Diseases - genetics</subject><subject>Ticks</subject><subject>Vectors</subject><issn>1945-0265</issn><issn>1945-0257</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkUtv1DAUhSMEog_YskSW2LDJcO2JHXuDVMqjlQaBmMLWcjz2jCsnTm2nan9K_y1OW0bAypbud47OvaeqXmFYYODi3Tb33YIAwQsAzp9Uh1g0tAZC26f7P6MH1VFKlwCsWXL2vDpYNg0w3pDD6m49Gu1Mqlfm2nj0PQbrvBu2KFh0fhM2JqFRaWednhL6oHQ20SmPvjodQ-dCX-Y_ilL5hM7cdod-qTLvikW-RSeFSQmtdyFmtB5VnpVrrXwRqYw-OmtNNENGF-omDKF3unil4KfswpBeVM9ssTUvH9_j6ufnTxenZ_Xq25fz05NVrRvMc73BtqWCAAZtOd-oThsioDGKMuCtaIXGpmMUKDa0A9p0nWCNZZaL1rbG2uVx9f7Bd5y63mx0CRSVl2N0vYq3Mign_50Mbie34Vpy2lJgpBi8fTSI4WoyKcveJW28V4MJU5KEMsJJyQIFffMfehmmOJT17ikiBMBMLR6o-_tFY_dhMMi5dTm3LufW5dx6Ebz-e4U9_qfm5W8txax5</recordid><startdate>202108</startdate><enddate>202108</enddate><creator>Socarras, Kayla M</creator><creator>Earl, Joshua P</creator><creator>Krol, Jaroslaw E</creator><creator>Bhat, Archana</creator><creator>Pabilonia, Max</creator><creator>Harrison, Meghan H</creator><creator>Lang, Steven P</creator><creator>Sen, Bhaswati</creator><creator>Ahmed, Azad</creator><creator>Hester, Michael</creator><creator>Mell, Joshua Chang</creator><creator>Vandegrift, Kurt</creator><creator>Ehrlich, Garth D</creator><general>Mary Ann Liebert, Inc</general><general>Mary Ann Liebert, Inc., publishers</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QP</scope><scope>7T5</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0222-5636</orcidid><orcidid>https://orcid.org/0000-0002-8901-2248</orcidid></search><sort><creationdate>202108</creationdate><title>Species-Level Profiling of Ixodes pacificus Bacterial Microbiomes Reveals High Variability Across Short Spatial Scales at Different Taxonomic Resolutions</title><author>Socarras, Kayla M ; 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This is through the transmission of infectious disease agents to humans during tick feeding. The transmission rate and extent of microbial exchange, however, vary based on the tick microbiome composition. While select microbes are determined to be members of the normal tick microbiome and others are clearly recognized mammalian and/or avian pathogens, the status of many other members of the tick microbiota with respect to human and alternate host pathogenesis remains unclear. Moreover, the species-level 16S microbiome of prominent TBD vectors, including
, have not been extensively studied. To elucidate the
microbiome composition, we performed a pan-domain species-specific characterization of the bacterial microbiome on adult
ticks collected from two regional parks within Western California. Our methods provide for characterizing nuances within cohort microbiomes and their relationships to geo-locale of origin, surrounding fauna, and prevalences of known and suspected pathogens in relation to current TBD epidemiological zones.
Ninety-two adult
bacterial microbiomes were characterized using a high-fidelity, pan-domain, species-specific, full-length 16S rRNA amplification method using circular consensus sequencing performed on the Pacific Biosciences Sequel platform. Data analyses were performed with the MCSMRT data analysis package and database.
The species-specific
microbiome composition illustrates a complex assortment of microflora, including over 900 eubacterial species with high taxonomic diversity, which was revealed to vary by sex and geo-locale, though the use of full-length 16S gene sequencing. The TBD-associated pathogens, such as
,
, and
, were identified along with a host of bacteria previously unassociated with ticks.
Species-level taxonomic classification of the
microbiome revealed that full-length bacterial 16S gene sequencing is required for the granularity to elucidate the microbial diversity within and among ticks based on geo-locale.</abstract><cop>United States</cop><pub>Mary Ann Liebert, Inc</pub><pmid>34406842</pmid><doi>10.1089/gtmb.2021.0088</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-0222-5636</orcidid><orcidid>https://orcid.org/0000-0002-8901-2248</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animals Arachnids Bacteria California Composition Data analysis Disease transmission Domains Epidemiology Gene sequencing Infectious diseases Ixodes - genetics Ixodes - metabolism Ixodes - microbiology Ixodes pacificus Microbiomes Microbiota Microbiota - genetics Microflora Microorganisms Original Parasitic diseases Pathogenesis Pathogens RNA, Ribosomal, 16S - genetics rRNA 16S Sequence Analysis, DNA - methods Sequence Analysis, RNA - methods Species Species classification Species diversity Taxonomy Tick-borne diseases Tick-Borne Diseases - genetics Ticks Vectors |
title | Species-Level Profiling of Ixodes pacificus Bacterial Microbiomes Reveals High Variability Across Short Spatial Scales at Different Taxonomic Resolutions |
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