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PMID: 12097644 Published · ppublish English Journal Article

Estimating prokaryotic diversity and its limits.

Curtis TP, Sloan WT, Scannell JW

Abstract

The absolute diversity of prokaryotes is widely held to be unknown and unknowable at any scale in any environment. However, it is not necessary to count every species in a community to estimate the number of different taxa therein. It is sufficient to estimate the area under the species abundance curve for that environment. Log-normal species abundance curves are thought to characterize communities, such as bacteria, which exhibit highly dynamic and random growth. Thus, we are able to show that the diversity of prokaryotic communities may be related to the ratio of two measurable variables: the total number of individuals in the community and the abundance of the most abundant members of that community. We assume that either the least abundant species has an abundance of 1 or Preston's canonical hypothesis is valid. Consequently, we can estimate the bacterial diversity on a small scale (oceans 160 per ml; soil 6,400-38,000 per g; sewage works 70 per ml). We are also able to speculate about diversity at a larger scale, thus the entire bacterial diversity of the sea may be unlikely to exceed 2 x 10(6), while a ton of soil could contain 4 x 10(6) different taxa. These are preliminary estimates that may change as we gain a greater understanding of the nature of prokaryotic species abundance curves. Nevertheless, it is evident that local and global prokaryotic diversity can be understood through species abundance curves and purely experimental approaches to solving this conundrum will be fruitless.

MeSH Terms
Bacteria/classification,genetics Genetic Variation Mathematical Computing Oceans and Seas Prokaryotic Cells RNA, Bacterial/classification RNA, Ribosomal, 16S/classification Soil Microbiology Water Microbiology
Chemicals
RNA, Bacterial RNA, Ribosomal, 16S
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Curtis Thomas P
Department of Civil Engineering, Centre for Molecular Ecology, University of Newcastle upon Tyne, Newcastle upon Tyne NE1 7RU, United Kingdom. tom.curtis@ncl.ac.uk
Sloan William T
Scannell Jack W
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
0027-8424
Published
2002-08-06
Epub
2002-00-03
Pages
10494-9
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC124953
Subset
IM
Corrections
CommentIn
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