Numerical Analysis of Grassland Bacterial Community Structure under Different Land Management Regimens by Using 16S Ribosomal DNA Sequence Data and Denaturing Gradient Gel Electrophoresis Banding Patterns
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Veröffentlicht in: | Applied and Environmental Microbiology 2001-10, Vol.67 (10), p.4554-4559 |
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creator | MCCAIG, Allison E GLOVER, L. Anne PROSSER, James I |
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</description><identifier>ISSN: 0099-2240</identifier><identifier>EISSN: 1098-5336</identifier><identifier>DOI: 10.1128/AEM.67.10.4554-4559.2001</identifier><identifier>PMID: 11571155</identifier><identifier>CODEN: AEMIDF</identifier><language>eng</language><publisher>Washington, DC: American Society for Microbiology</publisher><subject>Animal, plant and microbial ecology ; Bacteria ; Bacteria - classification ; Bacteria - genetics ; Bacteria - isolation & purification ; Biological and medical sciences ; Conservation of Natural Resources - methods ; DNA Fingerprinting - methods ; DNA, Ribosomal - analysis ; Ecosystem ; Electrophoresis - methods ; Fundamental and applied biological sciences. Psychology ; Microbial Ecology ; Poaceae ; RNA, Ribosomal, 16S - genetics ; Sequence Analysis, DNA ; Soil ; Soil Microbiology</subject><ispartof>Applied and Environmental Microbiology, 2001-10, Vol.67 (10), p.4554-4559</ispartof><rights>2002 INIST-CNRS</rights><rights>Copyright © 2001, American Society for Microbiology 2001</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c502t-b3743402a46f1724463ce078e9cf87204a59cbdac0a56dbb578c2e4e00315f133</citedby><cites>FETCH-LOGICAL-c502t-b3743402a46f1724463ce078e9cf87204a59cbdac0a56dbb578c2e4e00315f133</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/PMC93202/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC93202/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,725,778,782,883,3177,3178,27907,27908,53774,53776</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14137895$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11571155$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>MCCAIG, Allison E</creatorcontrib><creatorcontrib>GLOVER, L. Anne</creatorcontrib><creatorcontrib>PROSSER, James I</creatorcontrib><title>Numerical Analysis of Grassland Bacterial Community Structure under Different Land Management Regimens by Using 16S Ribosomal DNA Sequence Data and Denaturing Gradient Gel Electrophoresis Banding Patterns</title><title>Applied and Environmental Microbiology</title><addtitle>Appl Environ Microbiol</addtitle><description>Classifications
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</description><subject>Animal, plant and microbial ecology</subject><subject>Bacteria</subject><subject>Bacteria - classification</subject><subject>Bacteria - genetics</subject><subject>Bacteria - isolation & purification</subject><subject>Biological and medical sciences</subject><subject>Conservation of Natural Resources - methods</subject><subject>DNA Fingerprinting - methods</subject><subject>DNA, Ribosomal - analysis</subject><subject>Ecosystem</subject><subject>Electrophoresis - methods</subject><subject>Fundamental and applied biological sciences. 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subjects | Animal, plant and microbial ecology Bacteria Bacteria - classification Bacteria - genetics Bacteria - isolation & purification Biological and medical sciences Conservation of Natural Resources - methods DNA Fingerprinting - methods DNA, Ribosomal - analysis Ecosystem Electrophoresis - methods Fundamental and applied biological sciences. Psychology Microbial Ecology Poaceae RNA, Ribosomal, 16S - genetics Sequence Analysis, DNA Soil Soil Microbiology |
title | Numerical Analysis of Grassland Bacterial Community Structure under Different Land Management Regimens by Using 16S Ribosomal DNA Sequence Data and Denaturing Gradient Gel Electrophoresis Banding Patterns |
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