Choice of methods for soil microbial community analysis: PLFA maximizes power compared to CLPP and PCR-based approaches

被引：122

作者：

Ramsey, Philip W. ^{[1
]}

Rillig, Matthias C.

Feris, Kevin P.

Holben, William E.

Gannon, James E.

机构：

[1] Univ Montana, Div Biol Sci, Microbial Ecol Program, Missoula, MT 59812 USA

[2] Boise State Univ, Dept Biol, Boise, ID 83725 USA

来源：

PEDOBIOLOGIA | 2006年 / 50卷 / 03期

关键词：

polyphasic; phospholipid fatty acid; PLFA; community level physiological profiling; CLPP; PCR;

D O I：

10.1016/j.pedobi.2006.03.003

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Polyphasic studies that used phospholipid fatty acid analysis (PLFA) in conjunction with community level physiological. profiting (CLPP) or PCR-based molecular methods were analyzed in order to evaluate the power of each strategy to detect treatment effects on soil microbial. community structure (MCS). We found no studies where CLPP or PCR-based methods differentiated treatments that were not also differentiated by PLFA. In 14 of 32 studies (44%), PLFA differentiated treatments that were not resolved by CLPP analysis. In 5 of 25 studies (20%), PLFA differentiated treatments that were not resolved by PCR-based methods. We discuss PLFA, CLPP, and PCR-based methods with respect to power to discriminate change in MCS versus potential for characterization of underlying population level changes. (c) 2006 Elsevier GmbH. AIL rights reserved.

引用

页码：275 / 280

页数：6

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