Evidence map›Paper›PMID 14532080›Full record

ArticleApplied and environmental microbiology2003

Statistical approaches for estimating actinobacterial diversity in marine sediments.

James E M Stach, Luis A Maldonado, Douglas G Masson, Alan C Ward, Michael Goodfellow, Alan T Bull

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

James E M StachResearch School of Biosciences, University of Kent, Canterbury, Kent CT2 7NJ, United Kingdom. j.e.stach@kent.ac.uk
Luis A Maldonado
Douglas G Masson
Alan C Ward
Michael Goodfellow
Alan T Bull

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial diversity in a deep-sea sediment was investigated by constructing actinobacterium-specific 16S ribosomal DNA (rDNA) clone libraries from sediment sections taken 5 to 12, 15 to 18, and 43 to 46 cm below the sea floor at a depth of 3,814 m. Clones were placed into operational taxonomic unit (OTU) groups with >/= 99% 16S rDNA sequence similarity; the cutoff value for an OTU was derived by comparing 16S rRNA homology with DNA-DNA reassociation values for members of the class Actinobacteria. Diversity statistics were used to determine how the level of dominance, species richness, and genetic diversity varied with sediment depth. The reciprocal of Simpson's index (1/D) indicated that the pattern of diversity shifted toward dominance from uniformity with increasing sediment depth. Nonparametric estimation of the species richness in the 5- to 12-, 15- to 18-, and 43- to 46-cm sediment sections revealed a trend of decreasing species number with depth, 1,406, 308, and 212 OTUs, respectively. Application of the LIBSHUFF program indicated that the 5- to 12-cm clone library was composed of OTUs significantly (P = 0.001) different from those of the 15- to 18- and 43- to 46-cm libraries. F(ST) and phylogenetic grouping of taxa (P tests) were both significant (P < 0.00001 and P < 0.001, respectively), indicating that genetic diversity decreased with sediment depth and that each sediment community harbored unique phylogenetic lineages. It was also shown that even nonconservative OTU definitions result in severe underestimation of species richness; unique phylogenetic clades detected in one OTU group suggest that OTUs do not correspond to real ecological groups sensu Palys (T. Palys, L. K. Nakamura, and F. M. Cohan, Int. J. Syst. Bacteriol. 47:1145-1156, 1997). Mechanisms responsible for diversity and their implications are discussed.

Indexed as

Genetic VariationPhylogenyActinobacteriaComputational BiologyDNA, RibosomalGeologic SedimentsMolecular Sequence DataNucleic Acid HybridizationRNA, Ribosomal, 16SSeawaterSequence Analysis, DNAStatistics as TopicStatistics, NonparametricDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID14532080
PMCPMC201225

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.