Evidence map›Paper›PMID 21698402›Full record

ArticleMicrobial ecology2011

Phylogenetic and gene expression analysis of cyanobacteria and diatoms in the twilight waters of the temperate northeast Pacific Ocean.

Weimin Gao, Xu Shi, Jieying Wu, Yuguang Jin, Weiwen Zhang, Deirdre R Meldrum

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 1 institution in 1 country.

Weimin GaoCenter for Biosignatures Discovery Automation, the Biodesign Institute, Arizona State University, Tempe, AZ 85287-6501, USA.
Xu Shi
Jieying Wu
Yuguang Jin
Weiwen Zhang
Deirdre R Meldrum
Arizona State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, to explore the microbial community structure and its functionality in the deep-sea environments, we initially performed a 16S ribosomal RNA (rRNA)-based community structure analyses for microbial communities in the sea water collected from sites of 765-790 m in depth in the Pacific Ocean. Interestingly, in the clone library we detected the presence of both photoautotrophic bacteria such as cyanobacteria and photoheterotrophic bacteria, such as Chloroflexus sp. To further explore the existence and diversity of possible light-utilizing microorganisms, we then constructed and analyzed a 23S rRNA plastid gene cloning library. The results showed that the majority of this cloning library was occupied by oxygenic photoautotrophic organisms, such as diatoms Thalassiosira spp. and cyanobacterium Synechococcus sp. In addition, the diversity of these oxygenic photoautotrophic organisms was very limited. Moreover, both reverse-transcription PCR and quantitative reverse-transcription PCR approaches had been employed to detect expression of the genes involved in protein synthesis and photosynthesis of photoautotrophic organisms, and the positive results were obtained. The possible mechanisms underlying the existence of very limited diversity of photosynthetic organisms at this depth of ocean, as well as the positive detection of rRNA and mRNA of diatom and cyanobacteria, were discussed.

Indexed as

PhylogenyAutotrophic ProcessesCyanobacteriaDiatomsDNA, BacterialGene Expression ProfilingGene LibraryPacific OceanPhotosynthesisPlastidsRNA, Ribosomal, 16SRNA, Ribosomal, 23SSeawaterWater MicrobiologyDNA, BacterialRNA, Ribosomal, 16SRNA, Ribosomal, 23S

Identifiers

PMID21698402
OpenAlexW1977018933

What OpenQuestion holds

Textmetadata
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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.