2006
DOI: 10.1016/j.pedobi.2006.03.003
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Choice of methods for soil microbial community analysis: PLFA maximizes power compared to CLPP and PCR-based approaches

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Cited by 129 publications
(70 citation statements)
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“…PLFA analysis has been shown to be the best approach to discern a treatment effect on soil microbial community and be able to differentiate treatments that are not resolved by PCR-based methods in some cases [42]. In this study, both PLFA analysis and ARISA clearly demonstrated the shift in soil microbial communities associated with tillage practices.…”
Section: Discussionmentioning
confidence: 61%
“…PLFA analysis has been shown to be the best approach to discern a treatment effect on soil microbial community and be able to differentiate treatments that are not resolved by PCR-based methods in some cases [42]. In this study, both PLFA analysis and ARISA clearly demonstrated the shift in soil microbial communities associated with tillage practices.…”
Section: Discussionmentioning
confidence: 61%
“…DiVerent PLFA are unique to diVerent taxonomic groups [e.g., gram-positive and gram-negative bacteria, and fungi (White et al 1979;Zelles 1999;Leckie 2005)]. While PLFA provide a coarse measure of microbial community composition, recent evidence suggests PLFA analysis is more eVective in detecting treatment diVerences than both functional analyses and molecular techniques (Ramsey et al 2006). A total of 43 compounds were identiWed from the extractions.…”
Section: Microbial Community Compositionmentioning
confidence: 99%
“…Nevertheless, Ramsey et al (2006) concluded that FAME analysis provided a rapid and inexpensive way for assessing the microbial community structure in sediments and was even more sensitive in detecting shifts in microbial community than nucleic acid-based methods. FAME analysis could also be used as an efficient way to rapidly screen samples with distinct microbial community composition, prior to molecular analysis for the identification of key functional species.…”
Section: Discussionmentioning
confidence: 99%