Prospecting Environmental Mycobacteria: Combined Molecular Approaches Reveal Unprecedented Diversity
Environmental mycobacteria (EM) include species commonly found in various terrestrial and aquatic environments, encompassing animal and human pathogens in addition to saprophytes. Approximately 150 EM species can be separated into fast and slow growers based on sequence and copy number differences o...
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creator | Pontiroli, Alessandra Khera, Tanya T Oakley, Brian B Mason, Sam Dowd, Scot E Travis, Emma R Erenso, Girum Aseffa, Abraham Courtenay, Orin Wellington, Elizabeth M. H Hoshino, Yoshihiko |
description | Environmental mycobacteria (EM) include species commonly found in various terrestrial and aquatic environments, encompassing animal and human pathogens in addition to saprophytes. Approximately 150 EM species can be separated into fast and slow growers based on sequence and copy number differences of their 16S rRNA genes. Cultivation methods are not appropriate for diversity studies; few studies have investigated EM diversity in soil despite their importance as potential reservoirs of pathogens and their hypothesized role in masking or blocking M. bovis BCG vaccine. We report here the development, optimization and validation of molecular assays targeting the 16S rRNA gene to assess diversity and prevalence of fast and slow growing EM in representative soils from semi tropical and temperate areas. New primer sets were designed also to target uniquely slow growing mycobacteria and used with PCR-DGGE, tag-encoded Titanium amplicon pyrosequencing and quantitative PCR. PCR-DGGE and pyrosequencing provided a consensus of EM diversity; for example, a high abundance of pyrosequencing reads and DGGE bands corresponded to M. moriokaense , M. colombiense and M. riyadhense . As expected pyrosequencing provided more comprehensive information; additional prevalent species included M. chlorophenolicum, M. neglectum, M. gordonae, M. aemonae . Prevalence of the total Mycobacterium genus in the soil samples ranged from 2.3×10 7 to 2.7×10 8 gene targets g −1 ; slow growers prevalence from 2.9×10 5 to 1.2×10 7 cells g −1 . This combined molecular approach enabled an unprecedented qualitative and quantitative assessment of EM across soil samples. Good concordance was found between methods and the bioinformatics analysis was validated by random resampling. Sequences from most pathogenic groups associated with slow growth were identified in extenso in all soils tested with a specific assay, allowing to unmask them from the Mycobacterium whole genus, in which, as minority members, they would have remained undetected. |
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H ; Hoshino, Yoshihiko</creator><creatorcontrib>Pontiroli, Alessandra ; Khera, Tanya T ; Oakley, Brian B ; Mason, Sam ; Dowd, Scot E ; Travis, Emma R ; Erenso, Girum ; Aseffa, Abraham ; Courtenay, Orin ; Wellington, Elizabeth M. H ; Hoshino, Yoshihiko</creatorcontrib><description>Environmental mycobacteria (EM) include species commonly found in various terrestrial and aquatic environments, encompassing animal and human pathogens in addition to saprophytes. Approximately 150 EM species can be separated into fast and slow growers based on sequence and copy number differences of their 16S rRNA genes. Cultivation methods are not appropriate for diversity studies; few studies have investigated EM diversity in soil despite their importance as potential reservoirs of pathogens and their hypothesized role in masking or blocking M. bovis BCG vaccine. We report here the development, optimization and validation of molecular assays targeting the 16S rRNA gene to assess diversity and prevalence of fast and slow growing EM in representative soils from semi tropical and temperate areas. New primer sets were designed also to target uniquely slow growing mycobacteria and used with PCR-DGGE, tag-encoded Titanium amplicon pyrosequencing and quantitative PCR. PCR-DGGE and pyrosequencing provided a consensus of EM diversity; for example, a high abundance of pyrosequencing reads and DGGE bands corresponded to M. moriokaense , M. colombiense and M. riyadhense . As expected pyrosequencing provided more comprehensive information; additional prevalent species included M. chlorophenolicum, M. neglectum, M. gordonae, M. aemonae . Prevalence of the total Mycobacterium genus in the soil samples ranged from 2.3×10 7 to 2.7×10 8 gene targets g −1 ; slow growers prevalence from 2.9×10 5 to 1.2×10 7 cells g −1 . This combined molecular approach enabled an unprecedented qualitative and quantitative assessment of EM across soil samples. Good concordance was found between methods and the bioinformatics analysis was validated by random resampling. Sequences from most pathogenic groups associated with slow growth were identified in extenso in all soils tested with a specific assay, allowing to unmask them from the Mycobacterium whole genus, in which, as minority members, they would have remained undetected.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0068648</identifier><identifier>PMID: 23874704</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agriculture ; Analysis ; Aquatic animals ; Aquatic environment ; Bacillus Calmette-Guerin vaccine ; Bacteriology ; Base Sequence ; BCG ; BCG vaccine ; Biodiversity ; Bioinformatics ; Biology ; Climate ; Computational Biology ; Copy number ; Cultivation ; Denaturing Gradient Gel Electrophoresis ; Deoxyribonucleic acid ; DNA ; DNA primers ; DNA Primers - genetics ; Ecology ; Ethiopia ; genes ; Life sciences ; Masking ; Medicine ; Methods ; Molecular Sequence Data ; Mycobacterium ; Mycobacterium - genetics ; Mycobacterium avium ; Optimization ; Pathogens ; Phylogenetics ; Phylogeny ; Prospecting ; quantitative polymerase chain reaction ; Real-Time Polymerase Chain Reaction - methods ; Resampling ; ribosomal RNA ; RNA ; RNA, Ribosomal, 16S - genetics ; rRNA 16S ; Saprophytes ; sequence analysis ; Sequence Analysis, DNA ; soil ; Soil investigations ; Soil Microbiology ; Soils ; Species ; Species diversity ; Species Specificity ; Studies ; temperate zones ; Terrestrial environments ; Tuberculosis</subject><ispartof>PloS one, 2013-07, Vol.8 (7), p.e68648-e68648</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Pontiroli et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Pontiroli et al 2013 Pontiroli et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c749t-c9bc2087b93fac77ac21563553cc152eec4f37586189906fe9231eeffbd394f03</citedby><cites>FETCH-LOGICAL-c749t-c9bc2087b93fac77ac21563553cc152eec4f37586189906fe9231eeffbd394f03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715504/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715504/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23874704$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pontiroli, Alessandra</creatorcontrib><creatorcontrib>Khera, Tanya T</creatorcontrib><creatorcontrib>Oakley, Brian B</creatorcontrib><creatorcontrib>Mason, Sam</creatorcontrib><creatorcontrib>Dowd, Scot E</creatorcontrib><creatorcontrib>Travis, Emma R</creatorcontrib><creatorcontrib>Erenso, Girum</creatorcontrib><creatorcontrib>Aseffa, Abraham</creatorcontrib><creatorcontrib>Courtenay, Orin</creatorcontrib><creatorcontrib>Wellington, Elizabeth M. H</creatorcontrib><creatorcontrib>Hoshino, Yoshihiko</creatorcontrib><title>Prospecting Environmental Mycobacteria: Combined Molecular Approaches Reveal Unprecedented Diversity</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Environmental mycobacteria (EM) include species commonly found in various terrestrial and aquatic environments, encompassing animal and human pathogens in addition to saprophytes. Approximately 150 EM species can be separated into fast and slow growers based on sequence and copy number differences of their 16S rRNA genes. Cultivation methods are not appropriate for diversity studies; few studies have investigated EM diversity in soil despite their importance as potential reservoirs of pathogens and their hypothesized role in masking or blocking M. bovis BCG vaccine. We report here the development, optimization and validation of molecular assays targeting the 16S rRNA gene to assess diversity and prevalence of fast and slow growing EM in representative soils from semi tropical and temperate areas. New primer sets were designed also to target uniquely slow growing mycobacteria and used with PCR-DGGE, tag-encoded Titanium amplicon pyrosequencing and quantitative PCR. PCR-DGGE and pyrosequencing provided a consensus of EM diversity; for example, a high abundance of pyrosequencing reads and DGGE bands corresponded to M. moriokaense , M. colombiense and M. riyadhense . As expected pyrosequencing provided more comprehensive information; additional prevalent species included M. chlorophenolicum, M. neglectum, M. gordonae, M. aemonae . Prevalence of the total Mycobacterium genus in the soil samples ranged from 2.3×10 7 to 2.7×10 8 gene targets g −1 ; slow growers prevalence from 2.9×10 5 to 1.2×10 7 cells g −1 . This combined molecular approach enabled an unprecedented qualitative and quantitative assessment of EM across soil samples. Good concordance was found between methods and the bioinformatics analysis was validated by random resampling. Sequences from most pathogenic groups associated with slow growth were identified in extenso in all soils tested with a specific assay, allowing to unmask them from the Mycobacterium whole genus, in which, as minority members, they would have remained undetected.</description><subject>Agriculture</subject><subject>Analysis</subject><subject>Aquatic animals</subject><subject>Aquatic environment</subject><subject>Bacillus Calmette-Guerin vaccine</subject><subject>Bacteriology</subject><subject>Base Sequence</subject><subject>BCG</subject><subject>BCG vaccine</subject><subject>Biodiversity</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Climate</subject><subject>Computational Biology</subject><subject>Copy number</subject><subject>Cultivation</subject><subject>Denaturing Gradient Gel Electrophoresis</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA primers</subject><subject>DNA Primers - genetics</subject><subject>Ecology</subject><subject>Ethiopia</subject><subject>genes</subject><subject>Life sciences</subject><subject>Masking</subject><subject>Medicine</subject><subject>Methods</subject><subject>Molecular Sequence Data</subject><subject>Mycobacterium</subject><subject>Mycobacterium - genetics</subject><subject>Mycobacterium avium</subject><subject>Optimization</subject><subject>Pathogens</subject><subject>Phylogenetics</subject><subject>Phylogeny</subject><subject>Prospecting</subject><subject>quantitative polymerase chain reaction</subject><subject>Real-Time Polymerase Chain Reaction - methods</subject><subject>Resampling</subject><subject>ribosomal RNA</subject><subject>RNA</subject><subject>RNA, Ribosomal, 16S - genetics</subject><subject>rRNA 16S</subject><subject>Saprophytes</subject><subject>sequence analysis</subject><subject>Sequence Analysis, DNA</subject><subject>soil</subject><subject>Soil investigations</subject><subject>Soil Microbiology</subject><subject>Soils</subject><subject>Species</subject><subject>Species diversity</subject><subject>Species Specificity</subject><subject>Studies</subject><subject>temperate zones</subject><subject>Terrestrial environments</subject><subject>Tuberculosis</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBUQkJw0eKvxAkXSFUZUGnT0Ea5tVz7uHWVxMFOKvrvcWk2GjQJ4otY9vO-ts9HkjzHaIIpx-82rvO1LCeNq2GCUJZnLH-QnOKCknFGEH14ND9JnoSwQSileZY9Tk4IzTnjiJ0m-qt3oQHV2no1Oq-31ru6grqV5ehyp9xSqha8le9HM1ctbQ16dOlKUF0p_WjaNN5JtYYwuoYtRMmibjwo0NEgkh_tFnyw7e5p8sjIMsCz_n-WLD6df5t9GV9cfZ7PphdjxVnRjlWxVATlfFlQIxXnUhGcZjRNqVI4JQCKGcrTPMN5UaDMQEEoBjBmqWnBDKJnycuDb1O6IPoABYEZ4ZQjwlkk5gdCO7kRjbeV9DvhpBW_F5xfCelbq0oQ8UismaaIcs1SZKRhBSo0MVrlYDSPXh_607plBVrFR3tZDkyHO7Vdi5Xbipi9NEX7y7zpDbz70UFoRWWDgrKUNbguCILiRzDF_J8oZhhnlCBCI_rqL_T-QPTUSsa32tq4eEW1NxVTxnNCUpqSSE3uoeLQUFkVC8_YuD4QvB0IItPCz3YluxDE_Ob6_9mr70P29RG7jrXWroMru9a6OgxBdgBVrOvgwdzlAyOx75vbaIh934i-b6LsxXEu70S3jfKntIx0Qq68DWJxQxDO9jnKsxTRX1cmHEk</recordid><startdate>20130718</startdate><enddate>20130718</enddate><creator>Pontiroli, Alessandra</creator><creator>Khera, Tanya T</creator><creator>Oakley, Brian B</creator><creator>Mason, Sam</creator><creator>Dowd, Scot E</creator><creator>Travis, Emma R</creator><creator>Erenso, Girum</creator><creator>Aseffa, Abraham</creator><creator>Courtenay, Orin</creator><creator>Wellington, Elizabeth M. 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Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pontiroli, Alessandra</au><au>Khera, Tanya T</au><au>Oakley, Brian B</au><au>Mason, Sam</au><au>Dowd, Scot E</au><au>Travis, Emma R</au><au>Erenso, Girum</au><au>Aseffa, Abraham</au><au>Courtenay, Orin</au><au>Wellington, Elizabeth M. H</au><au>Hoshino, Yoshihiko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prospecting Environmental Mycobacteria: Combined Molecular Approaches Reveal Unprecedented Diversity</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-07-18</date><risdate>2013</risdate><volume>8</volume><issue>7</issue><spage>e68648</spage><epage>e68648</epage><pages>e68648-e68648</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Environmental mycobacteria (EM) include species commonly found in various terrestrial and aquatic environments, encompassing animal and human pathogens in addition to saprophytes. Approximately 150 EM species can be separated into fast and slow growers based on sequence and copy number differences of their 16S rRNA genes. Cultivation methods are not appropriate for diversity studies; few studies have investigated EM diversity in soil despite their importance as potential reservoirs of pathogens and their hypothesized role in masking or blocking M. bovis BCG vaccine. We report here the development, optimization and validation of molecular assays targeting the 16S rRNA gene to assess diversity and prevalence of fast and slow growing EM in representative soils from semi tropical and temperate areas. New primer sets were designed also to target uniquely slow growing mycobacteria and used with PCR-DGGE, tag-encoded Titanium amplicon pyrosequencing and quantitative PCR. PCR-DGGE and pyrosequencing provided a consensus of EM diversity; for example, a high abundance of pyrosequencing reads and DGGE bands corresponded to M. moriokaense , M. colombiense and M. riyadhense . As expected pyrosequencing provided more comprehensive information; additional prevalent species included M. chlorophenolicum, M. neglectum, M. gordonae, M. aemonae . Prevalence of the total Mycobacterium genus in the soil samples ranged from 2.3×10 7 to 2.7×10 8 gene targets g −1 ; slow growers prevalence from 2.9×10 5 to 1.2×10 7 cells g −1 . This combined molecular approach enabled an unprecedented qualitative and quantitative assessment of EM across soil samples. Good concordance was found between methods and the bioinformatics analysis was validated by random resampling. Sequences from most pathogenic groups associated with slow growth were identified in extenso in all soils tested with a specific assay, allowing to unmask them from the Mycobacterium whole genus, in which, as minority members, they would have remained undetected.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23874704</pmid><doi>10.1371/journal.pone.0068648</doi><tpages>e68648</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2013-07, Vol.8 (7), p.e68648-e68648 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1427370274 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Agriculture Analysis Aquatic animals Aquatic environment Bacillus Calmette-Guerin vaccine Bacteriology Base Sequence BCG BCG vaccine Biodiversity Bioinformatics Biology Climate Computational Biology Copy number Cultivation Denaturing Gradient Gel Electrophoresis Deoxyribonucleic acid DNA DNA primers DNA Primers - genetics Ecology Ethiopia genes Life sciences Masking Medicine Methods Molecular Sequence Data Mycobacterium Mycobacterium - genetics Mycobacterium avium Optimization Pathogens Phylogenetics Phylogeny Prospecting quantitative polymerase chain reaction Real-Time Polymerase Chain Reaction - methods Resampling ribosomal RNA RNA RNA, Ribosomal, 16S - genetics rRNA 16S Saprophytes sequence analysis Sequence Analysis, DNA soil Soil investigations Soil Microbiology Soils Species Species diversity Species Specificity Studies temperate zones Terrestrial environments Tuberculosis |
title | Prospecting Environmental Mycobacteria: Combined Molecular Approaches Reveal Unprecedented Diversity |
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