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Application of multivariate statistical techniques in microbial ecology.

O Paliy1, V Shankar1

  • 1Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, 260 Diggs Laboratory, 3640 Col. Glenn Hwy, Dayton, OH, 45435, USA.

Molecular Ecology
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PubMed
Summary

This review guides researchers in selecting appropriate multivariate statistical techniques for analyzing large ecological datasets, particularly from microbial ecology studies. It compares methods to illuminate microbial community composition, function, and dynamics.

Keywords:
microbial communitiesmicrobial ecologymicrobiotamultivariateordinationstatistics

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Area of Science:

  • Microbial Ecology
  • Bioinformatics
  • Statistical Ecology

Background:

  • High-throughput molecular analyses generate vast ecological datasets, especially in microbial ecology.
  • Understanding complex microbial communities requires advanced statistical methods for data interpretation.

Purpose of the Study:

  • To review and compare widely used multivariate statistical techniques for analyzing large ecological datasets.
  • To provide guidance on selecting appropriate methods based on research questions and data structure.

Main Methods:

  • Description and comparison of exploratory, interpretive, and discriminatory multivariate statistical procedures.
  • Consideration of limitations and assumptions of various statistical methods.
  • Illustrative examples of multivariate technique applications in microbial ecology.

Main Results:

  • Multivariate statistics are essential for interpreting high-throughput ecological data.
  • Different techniques suit different analytical goals (e.g., community composition vs. function).
  • Method selection impacts the ecological insights gained.

Conclusions:

  • Choosing the right multivariate method is crucial for robust ecological data analysis.
  • This review aids researchers in navigating statistical options for microbial ecology.
  • Effective statistical application enhances understanding of microbial world dynamics.