Advances in the use of terminal restriction fragment length polymorphism (T-RFLP) analysis of 16S rRNA genes to characterize microbial communities
Terminal restriction fragment length polymorphism (T-RFLP) analysis is a popular high-throughput fingerprinting technique used to monitor changes in the structure and composition of microbial communities. This approach is widely used because it offers a compromise between the information gained and...
Gespeichert in:
Veröffentlicht in: | Applied microbiology and biotechnology 2008-09, Vol.80 (3), p.365-380 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 380 |
---|---|
container_issue | 3 |
container_start_page | 365 |
container_title | Applied microbiology and biotechnology |
container_volume | 80 |
creator | Schütte, Ursel M. E Abdo, Zaid Bent, Stephen J Shyu, Conrad Williams, Christopher J Pierson, Jacob D Forney, Larry J |
description | Terminal restriction fragment length polymorphism (T-RFLP) analysis is a popular high-throughput fingerprinting technique used to monitor changes in the structure and composition of microbial communities. This approach is widely used because it offers a compromise between the information gained and labor intensity. In this review, we discuss the progress made in T-RFLP analysis of 16S rRNA genes and functional genes over the last 10 years and evaluate the performance of this technique when used in conjunction with different statistical methods. Web-based tools designed to perform virtual polymerase chain reaction and restriction enzyme digests greatly facilitate the choice of primers and restriction enzymes for T-RFLP analysis. Significant improvements have also been made in the statistical analysis of T-RFLP profiles such as the introduction of objective procedures to distinguish between signal and noise, the alignment of T-RFLP peaks between profiles, and the use of multivariate statistical methods to detect changes in the structure and composition of microbial communities due to spatial and temporal variation or treatment effects. The progress made in T-RFLP analysis of 16S rRNA and genes allows researchers to make methodological and statistical choices appropriate for the hypotheses of their studies. |
doi_str_mv | 10.1007/s00253-008-1565-4 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_69451511</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>69451511</sourcerecordid><originalsourceid>FETCH-LOGICAL-c489t-19430cddb8c51194f2162f351b2279a52637c58034ea6288698f08d6435da13</originalsourceid><addsrcrecordid>eNp9kc2KFDEUhQtRnHb0AdxoEBRdlN78dmrZDDMqNCrT4zqkU6nqDJWkJ6kS2sfwiSdNNQ64cBVCvnPuPTlV9RLDRwyw_JQBCKc1gKwxF7xmj6oFZpTUIDB7XC0AL3m95I08q57lfAuAiRTiaXWGpWBSAltUf1btLx2MzcgFNO4smrJFsUOjTd4FPaBk85icGV0MqEu69zaMaLChH3doH4eDj2m_c9mj9zf19dX6xweki-yQXT7aYLFB6frbCvU2lBljRGankzbF3v22yDuT4taVMSZ6PwU3OpufV086PWT74nSeV5ury5uLL_X6--evF6t1bZhsxho3jIJp2600HJdLR7AgHeV4S8iy0ZwIujRcAmVWCyKlaGQHshWM8lZjel69m133Kd5NJaTyLhs7DDrYOGUlGsZxMS7gm3_A2zilkjErQhoBDAQpEJ6hkifnZDu1T87rdFAY1LErNXelSlfq2JViRfPqZDxtvW0fFKdyCvD2BOhs9FB-PxiX_3IEBHDe0MKRmcvlKfQ2PWz4v-mvZ1Gno9J9KsY_NwQwBWiIZJjTe_mLtIE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>229604062</pqid></control><display><type>article</type><title>Advances in the use of terminal restriction fragment length polymorphism (T-RFLP) analysis of 16S rRNA genes to characterize microbial communities</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Schütte, Ursel M. E ; Abdo, Zaid ; Bent, Stephen J ; Shyu, Conrad ; Williams, Christopher J ; Pierson, Jacob D ; Forney, Larry J</creator><creatorcontrib>Schütte, Ursel M. E ; Abdo, Zaid ; Bent, Stephen J ; Shyu, Conrad ; Williams, Christopher J ; Pierson, Jacob D ; Forney, Larry J</creatorcontrib><description>Terminal restriction fragment length polymorphism (T-RFLP) analysis is a popular high-throughput fingerprinting technique used to monitor changes in the structure and composition of microbial communities. This approach is widely used because it offers a compromise between the information gained and labor intensity. In this review, we discuss the progress made in T-RFLP analysis of 16S rRNA genes and functional genes over the last 10 years and evaluate the performance of this technique when used in conjunction with different statistical methods. Web-based tools designed to perform virtual polymerase chain reaction and restriction enzyme digests greatly facilitate the choice of primers and restriction enzymes for T-RFLP analysis. Significant improvements have also been made in the statistical analysis of T-RFLP profiles such as the introduction of objective procedures to distinguish between signal and noise, the alignment of T-RFLP peaks between profiles, and the use of multivariate statistical methods to detect changes in the structure and composition of microbial communities due to spatial and temporal variation or treatment effects. The progress made in T-RFLP analysis of 16S rRNA and genes allows researchers to make methodological and statistical choices appropriate for the hypotheses of their studies.</description><identifier>ISSN: 0175-7598</identifier><identifier>EISSN: 1432-0614</identifier><identifier>DOI: 10.1007/s00253-008-1565-4</identifier><identifier>PMID: 18648804</identifier><identifier>CODEN: AMBIDG</identifier><language>eng</language><publisher>Berlin/Heidelberg: Berlin/Heidelberg : Springer-Verlag</publisher><subject>16S rRNA genes ; Archaea - genetics ; Automation ; Bacteria - classification ; Bacteria - genetics ; Biological and medical sciences ; Biotechnology ; Cloning ; DNA Fingerprinting - methods ; DNA Primers - genetics ; DNA, Ribosomal - genetics ; Environmental Microbiology ; Enzymes ; Fundamental and applied biological sciences. Psychology ; Fungi - genetics ; Genes ; Life Sciences ; Microbial activity ; Microbial communities ; Microbial Genetics and Genomics ; Microbiological Techniques - methods ; Microbiology ; Mini-Review ; Multivariate statistics ; Noise ; Polymerase chain reaction ; Polymorphism ; Polymorphism, Restriction Fragment Length ; Ribonucleic acid ; RNA ; RNA, Ribosomal, 16S - genetics ; Statistical analysis ; Statistical methods ; Studies ; T-RFLP</subject><ispartof>Applied microbiology and biotechnology, 2008-09, Vol.80 (3), p.365-380</ispartof><rights>Springer-Verlag 2008</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-19430cddb8c51194f2162f351b2279a52637c58034ea6288698f08d6435da13</citedby><cites>FETCH-LOGICAL-c489t-19430cddb8c51194f2162f351b2279a52637c58034ea6288698f08d6435da13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00253-008-1565-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00253-008-1565-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20605593$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18648804$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schütte, Ursel M. E</creatorcontrib><creatorcontrib>Abdo, Zaid</creatorcontrib><creatorcontrib>Bent, Stephen J</creatorcontrib><creatorcontrib>Shyu, Conrad</creatorcontrib><creatorcontrib>Williams, Christopher J</creatorcontrib><creatorcontrib>Pierson, Jacob D</creatorcontrib><creatorcontrib>Forney, Larry J</creatorcontrib><title>Advances in the use of terminal restriction fragment length polymorphism (T-RFLP) analysis of 16S rRNA genes to characterize microbial communities</title><title>Applied microbiology and biotechnology</title><addtitle>Appl Microbiol Biotechnol</addtitle><addtitle>Appl Microbiol Biotechnol</addtitle><description>Terminal restriction fragment length polymorphism (T-RFLP) analysis is a popular high-throughput fingerprinting technique used to monitor changes in the structure and composition of microbial communities. This approach is widely used because it offers a compromise between the information gained and labor intensity. In this review, we discuss the progress made in T-RFLP analysis of 16S rRNA genes and functional genes over the last 10 years and evaluate the performance of this technique when used in conjunction with different statistical methods. Web-based tools designed to perform virtual polymerase chain reaction and restriction enzyme digests greatly facilitate the choice of primers and restriction enzymes for T-RFLP analysis. Significant improvements have also been made in the statistical analysis of T-RFLP profiles such as the introduction of objective procedures to distinguish between signal and noise, the alignment of T-RFLP peaks between profiles, and the use of multivariate statistical methods to detect changes in the structure and composition of microbial communities due to spatial and temporal variation or treatment effects. The progress made in T-RFLP analysis of 16S rRNA and genes allows researchers to make methodological and statistical choices appropriate for the hypotheses of their studies.</description><subject>16S rRNA genes</subject><subject>Archaea - genetics</subject><subject>Automation</subject><subject>Bacteria - classification</subject><subject>Bacteria - genetics</subject><subject>Biological and medical sciences</subject><subject>Biotechnology</subject><subject>Cloning</subject><subject>DNA Fingerprinting - methods</subject><subject>DNA Primers - genetics</subject><subject>DNA, Ribosomal - genetics</subject><subject>Environmental Microbiology</subject><subject>Enzymes</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Fungi - genetics</subject><subject>Genes</subject><subject>Life Sciences</subject><subject>Microbial activity</subject><subject>Microbial communities</subject><subject>Microbial Genetics and Genomics</subject><subject>Microbiological Techniques - methods</subject><subject>Microbiology</subject><subject>Mini-Review</subject><subject>Multivariate statistics</subject><subject>Noise</subject><subject>Polymerase chain reaction</subject><subject>Polymorphism</subject><subject>Polymorphism, Restriction Fragment Length</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA, Ribosomal, 16S - genetics</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Studies</subject><subject>T-RFLP</subject><issn>0175-7598</issn><issn>1432-0614</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kc2KFDEUhQtRnHb0AdxoEBRdlN78dmrZDDMqNCrT4zqkU6nqDJWkJ6kS2sfwiSdNNQ64cBVCvnPuPTlV9RLDRwyw_JQBCKc1gKwxF7xmj6oFZpTUIDB7XC0AL3m95I08q57lfAuAiRTiaXWGpWBSAltUf1btLx2MzcgFNO4smrJFsUOjTd4FPaBk85icGV0MqEu69zaMaLChH3doH4eDj2m_c9mj9zf19dX6xweki-yQXT7aYLFB6frbCvU2lBljRGankzbF3v22yDuT4taVMSZ6PwU3OpufV086PWT74nSeV5ury5uLL_X6--evF6t1bZhsxho3jIJp2600HJdLR7AgHeV4S8iy0ZwIujRcAmVWCyKlaGQHshWM8lZjel69m133Kd5NJaTyLhs7DDrYOGUlGsZxMS7gm3_A2zilkjErQhoBDAQpEJ6hkifnZDu1T87rdFAY1LErNXelSlfq2JViRfPqZDxtvW0fFKdyCvD2BOhs9FB-PxiX_3IEBHDe0MKRmcvlKfQ2PWz4v-mvZ1Gno9J9KsY_NwQwBWiIZJjTe_mLtIE</recordid><startdate>20080901</startdate><enddate>20080901</enddate><creator>Schütte, Ursel M. E</creator><creator>Abdo, Zaid</creator><creator>Bent, Stephen J</creator><creator>Shyu, Conrad</creator><creator>Williams, Christopher J</creator><creator>Pierson, Jacob D</creator><creator>Forney, Larry J</creator><general>Berlin/Heidelberg : Springer-Verlag</general><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>IQODW</scope><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>3V.</scope><scope>7QL</scope><scope>7T7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>LK8</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20080901</creationdate><title>Advances in the use of terminal restriction fragment length polymorphism (T-RFLP) analysis of 16S rRNA genes to characterize microbial communities</title><author>Schütte, Ursel M. E ; Abdo, Zaid ; Bent, Stephen J ; Shyu, Conrad ; Williams, Christopher J ; Pierson, Jacob D ; Forney, Larry J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-19430cddb8c51194f2162f351b2279a52637c58034ea6288698f08d6435da13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>16S rRNA genes</topic><topic>Archaea - genetics</topic><topic>Automation</topic><topic>Bacteria - classification</topic><topic>Bacteria - genetics</topic><topic>Biological and medical sciences</topic><topic>Biotechnology</topic><topic>Cloning</topic><topic>DNA Fingerprinting - methods</topic><topic>DNA Primers - genetics</topic><topic>DNA, Ribosomal - genetics</topic><topic>Environmental Microbiology</topic><topic>Enzymes</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Fungi - genetics</topic><topic>Genes</topic><topic>Life Sciences</topic><topic>Microbial activity</topic><topic>Microbial communities</topic><topic>Microbial Genetics and Genomics</topic><topic>Microbiological Techniques - methods</topic><topic>Microbiology</topic><topic>Mini-Review</topic><topic>Multivariate statistics</topic><topic>Noise</topic><topic>Polymerase chain reaction</topic><topic>Polymorphism</topic><topic>Polymorphism, Restriction Fragment Length</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Ribosomal, 16S - genetics</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Studies</topic><topic>T-RFLP</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schütte, Ursel M. E</creatorcontrib><creatorcontrib>Abdo, Zaid</creatorcontrib><creatorcontrib>Bent, Stephen J</creatorcontrib><creatorcontrib>Shyu, Conrad</creatorcontrib><creatorcontrib>Williams, Christopher J</creatorcontrib><creatorcontrib>Pierson, Jacob D</creatorcontrib><creatorcontrib>Forney, Larry J</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Biological Science Collection</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Applied microbiology and biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schütte, Ursel M. E</au><au>Abdo, Zaid</au><au>Bent, Stephen J</au><au>Shyu, Conrad</au><au>Williams, Christopher J</au><au>Pierson, Jacob D</au><au>Forney, Larry J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Advances in the use of terminal restriction fragment length polymorphism (T-RFLP) analysis of 16S rRNA genes to characterize microbial communities</atitle><jtitle>Applied microbiology and biotechnology</jtitle><stitle>Appl Microbiol Biotechnol</stitle><addtitle>Appl Microbiol Biotechnol</addtitle><date>2008-09-01</date><risdate>2008</risdate><volume>80</volume><issue>3</issue><spage>365</spage><epage>380</epage><pages>365-380</pages><issn>0175-7598</issn><eissn>1432-0614</eissn><coden>AMBIDG</coden><abstract>Terminal restriction fragment length polymorphism (T-RFLP) analysis is a popular high-throughput fingerprinting technique used to monitor changes in the structure and composition of microbial communities. This approach is widely used because it offers a compromise between the information gained and labor intensity. In this review, we discuss the progress made in T-RFLP analysis of 16S rRNA genes and functional genes over the last 10 years and evaluate the performance of this technique when used in conjunction with different statistical methods. Web-based tools designed to perform virtual polymerase chain reaction and restriction enzyme digests greatly facilitate the choice of primers and restriction enzymes for T-RFLP analysis. Significant improvements have also been made in the statistical analysis of T-RFLP profiles such as the introduction of objective procedures to distinguish between signal and noise, the alignment of T-RFLP peaks between profiles, and the use of multivariate statistical methods to detect changes in the structure and composition of microbial communities due to spatial and temporal variation or treatment effects. The progress made in T-RFLP analysis of 16S rRNA and genes allows researchers to make methodological and statistical choices appropriate for the hypotheses of their studies.</abstract><cop>Berlin/Heidelberg</cop><pub>Berlin/Heidelberg : Springer-Verlag</pub><pmid>18648804</pmid><doi>10.1007/s00253-008-1565-4</doi><tpages>16</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0175-7598 |
ispartof | Applied microbiology and biotechnology, 2008-09, Vol.80 (3), p.365-380 |
issn | 0175-7598 1432-0614 |
language | eng |
recordid | cdi_proquest_miscellaneous_69451511 |
source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | 16S rRNA genes Archaea - genetics Automation Bacteria - classification Bacteria - genetics Biological and medical sciences Biotechnology Cloning DNA Fingerprinting - methods DNA Primers - genetics DNA, Ribosomal - genetics Environmental Microbiology Enzymes Fundamental and applied biological sciences. Psychology Fungi - genetics Genes Life Sciences Microbial activity Microbial communities Microbial Genetics and Genomics Microbiological Techniques - methods Microbiology Mini-Review Multivariate statistics Noise Polymerase chain reaction Polymorphism Polymorphism, Restriction Fragment Length Ribonucleic acid RNA RNA, Ribosomal, 16S - genetics Statistical analysis Statistical methods Studies T-RFLP |
title | Advances in the use of terminal restriction fragment length polymorphism (T-RFLP) analysis of 16S rRNA genes to characterize microbial communities |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T02%3A05%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Advances%20in%20the%20use%20of%20terminal%20restriction%20fragment%20length%20polymorphism%20(T-RFLP)%20analysis%20of%2016S%20rRNA%20genes%20to%20characterize%20microbial%20communities&rft.jtitle=Applied%20microbiology%20and%20biotechnology&rft.au=Sch%C3%BCtte,%20Ursel%20M.%20E&rft.date=2008-09-01&rft.volume=80&rft.issue=3&rft.spage=365&rft.epage=380&rft.pages=365-380&rft.issn=0175-7598&rft.eissn=1432-0614&rft.coden=AMBIDG&rft_id=info:doi/10.1007/s00253-008-1565-4&rft_dat=%3Cproquest_cross%3E69451511%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=229604062&rft_id=info:pmid/18648804&rfr_iscdi=true |