Evidence map›Paper›PMID 28655556›Full record

ArticleJournal of microbiological methods2017

Comparison of two bioinformatics tools used to characterize the microbial diversity and predictive functional attributes of microbial mats from Lake Obersee, Antarctica.

Hyunmin Koo, Joseph A Hakim, Casey D Morrow, Peter G Eipers, Alfonso Davila, Dale T Andersen, Asim K Bej

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of microbiological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 62 citations in OpenAlex.

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  2. Soil microorganisms enrichment in different rare earth elements enrichment soils around a rare earth tailings pond.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
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  8. Bacterial diversity changes in agricultural soils influenced by poultry litter fertilization.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
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  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Hyunmin KooDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: khmkhm87@uab.edu.
Joseph A HakimDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Casey D MorrowCell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Peter G EipersCell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Alfonso DavilaNASA Ames Research Center, MS 245-3, Moffett Field, CA, USA.
Dale T AndersenCarl Sagan Center, SETI Institute, Mountain View, CA, USA.
Asim K BejDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: abej@uab.edu.
University of Alabama at Birmingham · USAmes Research Center · USSearch for Extraterrestrial Intelligence · US

Funding

Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
UAB Skin Diseases Research CenterP30AR050948 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ELMETS, CRAIG A · 2004 to 2013
$5.5M
Intramural NASA N-999999NASA NNX08AO19GNCATS NIH HHS UL1 TR001417NIAID NIH HHS P30 AI027767NIAMS NIH HHS P30 AR050948
6 · The paper itself

Abstract

In this study, using NextGen sequencing of the collective 16S rRNA genes obtained from two sets of samples collected from Lake Obersee, Antarctica, we compared and contrasted two bioinformatics tools, PICRUSt and Tax4Fun. We then developed an R script to assess the taxonomic and predictive functional profiles of the microbial communities within the samples. Taxa such as Pseudoxanthomonas, Planctomycetaceae, Cyanobacteria Subsection III, Nitrosomonadaceae, Leptothrix, and Rhodobacter were exclusively identified by Tax4Fun that uses SILVA database; whereas PICRUSt that uses Greengenes database uniquely identified Pirellulaceae, Gemmatimonadetes A1-B1, Pseudanabaena, Salinibacterium and Sinobacteraceae. Predictive functional profiling of the microbial communities using Tax4Fun and PICRUSt separately revealed common metabolic capabilities, while also showing specific functional IDs not shared between the two approaches. Combining these functional predictions using a customized R script revealed a more inclusive metabolic profile, such as hydrolases, oxidoreductases, transferases; enzymes involved in carbohydrate and amino acid metabolisms; and membrane transport proteins known for nutrient uptake from the surrounding environment. Our results present the first molecular-phylogenetic characterization and predictive functional profiles of the microbial mat communities in Lake Obersee, while demonstrating the efficacy of combining both the taxonomic assignment information and functional IDs using the R script created in this study for a more streamlined evaluation of predictive functional profiles of microbial communities.

Indexed as

Genetic VariationAntarctic RegionsComputational BiologyCyanobacteriaDatabases, FactualHigh-Throughput Nucleotide SequencingLakesMetagenomeMetagenomicsMicrobial ConsortiaPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16SGreengenesNextGen sequencingPICRUStR CodeSILVATax4Fun

Identifiers

PMID28655556
PMCPMC6108183
OpenAlexW2652626624

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.