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상위피인용논문

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김보라Bo-Ra Kim

단국대학교

J. Microbiol. Biotechnol., Volume 27, Issue 12, December 2017, Pages 2089-2093 | https://doi.org/10.4014/jmb.1709.09027 Deciphering Diversity Indices for a Better Understanding of Microbial Communities

Bo-Ra Kim^1,†, Jiwon Shin^1,†, Robin B. Guevarra¹, Jun Hyung Lee¹, Doo Wan Kim², Kuk-Hwan Seol², Ju-Hoon Lee³, Hyeun Bum Kim^1* and Richard E. Isaacson^4,*

¹Department of Animal Resources Science, Dankook University, Cheonan 31116, Republic of Korea, ²National Institute of Animal Science, Rural Development Administration, Wanju 55365, Republic of Korea, ³Department of Food Science and Biotechnology, Institute of Life Science and Resources, Kyung Hee University, Youngin 17104, Republic of Korea, ⁴Department of Veterinary and Biomedical Sciences, University of Minnesota, St. Paul, MN 55108, USA

^†These authors contributed equally to this work.

^*Corresponding author

Abstract

The past decades have been a golden era during which great tasks were accomplished in the field of microbiology, including food microbiology. In the past, culture-dependent methods have been the primary choice to investigate bacterial diversity. However, using cultureindependent high-throughput sequencing of 16S rRNA genes has greatly facilitated studies exploring the microbial compositions and dynamics associated with health and diseases. These culture-independent DNA-based studies generate large-scale data sets that describe the microbial composition of a certain niche. Consequently, understanding microbial diversity becomes of greater importance when investigating the composition, function, and dynamics of the microbiota associated with health and diseases. Even though there is no general agreement on which diversity index is the best to use, diversity indices have been used to compare the diversity among samples and between treatments with controls. Tools such as the Shannon- Weaver index and Simpson index can be used to describe population diversity in samples. The purpose of this review is to explain the principles of diversity indices, such as Shannon- Weaver and Simpson, to aid general microbiologists in better understanding bacterial communities. In this review, important questions concerning microbial diversity are addressed. Information from this review should facilitate evidence-based strategies to explore microbial communities.

논문정보

형식Review Paper
게재일2017년 12월 (BRIC 등록일 2021-04-22)
연구진국내(교신)+국외 연구진
분야 생명과학 > 미생물학
피인용횟수120회 이상 인용된 논문

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