Evidence map›Paper›PMID 27180640›Full record

ArticleMicrobes and environments2016

Diversity, Community Composition and Abundance of Anammox Bacteria in Sediments of the North Marginal Seas of China.

Ahmed Shehzad, Jiwen Liu, Min Yu, Shakeela Qismat, Jingli Liu, Xiao-Hua Zhang

Abstract read
In one paragraph

Article in Microbes and environments, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

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

9 citing papers in PubMed.

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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

6 authors.

Ahmed ShehzadCollege of Marine Life Sciences, Ocean University of China.
Jiwen Liu
Min Yu
Shakeela Qismat
Jingli Liu
Xiao-Hua Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past few decades, anammox bacteria have been recognized as key players that contribute significantly to the release of large amounts of nitrogen in the global marine nitrogen cycle. In the present study, the diversity, community composition, and abundance of anammox bacteria from the sediments of four diverse regions in the north marginal seas in China were determined via clone library construction and a quantitative PCR analysis. The clone libraries retrieved by the 16S rRNA gene and Hzo gene markers indicated that "Candidatus Scalindua" was the predominant group throughout the sites examined. The 16S rRNA gene clone libraries revealed exceptional diversity by identifying two potential novel anammox clades, as evidenced by the high sequence similarities between these two clades and known anammox genera, and their unique phylogenetic positions with high bootstrap values. However, their potential roles in the anammox reaction need to be validated. Six novel members of Planctomycetes, divergent from the known genera of anammox bacteria, were also detected. A phylogenetic analysis by Hzo protein sequences revealed the existence of two known genera, i.e., "Candidatus Jettenia" and "Candidatus Anammoxoglobus", which are rarely captured from marine sediments. Among all ecological parameters investigated, the distribution patterns and composition of anammox bacteria were found to be influenced by salinity, total organic matter, and temperature. The abundance of the anammox bacterial 16S rRNA gene from the sites examined ranged between 3.95×10(5) and 9.21×10(5) copies g(-1) wet sediment and positively correlated with the median size of the sediment sample.

Indexed as

BiotaAmmonium CompoundsBacteria, AnaerobicChinaCluster AnalysisDNA, BacterialDNA, RibosomalGeologic SedimentsOceans and SeasOxidation-ReductionPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNAAmmonium CompoundsDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID27180640
PMCPMC4912145

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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.