Evidence map›Paper›PMID 23494574›Full record

ArticleMicrobial ecology2013

Effect of seawater-sewage cross-transplants on bacterial metabolism and diversity.

Jie Xu, Hongmei Jing, Liangliang Kong, Mingming Sun, Paul J Harrison, Hongbin Liu

Abstract read
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In one paragraph

Article in Microbial ecology, 2013. 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.

Jie XuDivision of Life Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China. xujie@ust.hk
Hongmei Jing
Liangliang Kong
Mingming Sun
Paul J Harrison
Hongbin Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioassays experiments were conducted to determine the metabolic and community composition response of bacteria to transplants between relatively pristine coastal seawater and sewage-impacted seawater. There were four treatments: (1) pristine seawater bacteria + pristine seawater (Pb + Pw), (2) sewage-impacted bacteria + sewage-impacted water (Sb + Sw), (3) pristine seawater bacteria + sewage-impacted water (Pb + Sw), and (4) sewage-impacted bacteria + pristine seawater (Sb + Pw). Sewage-derived DOC was more labile and readily utilized by bacteria, which favored the growth of high nucleic acid (HNA) bacteria, resulting in high bacterial production (BP, 113 ± 4.92 to 130 ± 15.8 μg C l(-1) day(-1)) and low respiration rate (BR, <67 ± 11.3 μg C l(-1) day(-1)), as well as high bacterial growth efficiency (BGE, 0.68 ± 0.09 to 0.71 ± 0.05). In contrast, at the relatively pristine site, bacteria utilized natural marine-derived dissolved organic matter (DOM) at the expense of lowering their growth efficiency (BGE, <0.32 ± 0.02) with low BP (<62 ± 6.3 μg C l(-1) day(-1)) and high BR 133 ± 14.2 μg C l(-1) day(-1)). Sewage DOM input appeared to alter the partitioning of carbon between respiration and production of bacteria, resulting in a shift toward higher BGE, which would not enhance oxygen consumption. Taxonomic classification based on 454 pyrosequencing reads of the 16S rRNA gene amplicons revealed that changes in bacterial community structure occurred when seawater bacteria were transferred to the eutrophic sewage-impacted water. Sewage DOM fueled the growth of Gammma-proteobacteria and Epsilson-proteobacteria and reduced the bacterial richness, but the changes in the community were not apparent when sewage-impacted bacteria were transferred to pristine seawater.

Indexed as

BiodiversityEcosystemBacteriaMolecular Sequence DataSeawaterSewageSewage

Identifiers

What OpenQuestion holds

Textmetadata
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.