Evidence map›Paper›PMID 25198177›Full record

ArticlePloS one2014

Multilocus sequence analysis for assessment of phylogenetic diversity and biogeography in Thalassospira bacteria from diverse marine environments.

Qiliang Lai, Yang Liu, Jun Yuan, Juan Du, Liping Wang, Fengqin Sun, Zongze Shao

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-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

13 citing papers in PubMed, 36 citations in OpenAlex.

  1. TheMicroorganisms · 2021
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  5. Identification and Classification for theFrontiers in microbiology · 2018
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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.

Qiliang LaiState Key Laboratory Breeding Base of Marine Genetic Resources, Xiamen, China; Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, SOA, Xiamen, China; Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen, China; Collaborative Innovation Center of Deep Sea Biology, Xiamen, China; Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Xiamen, China.
Yang LiuState Key Laboratory Breeding Base of Marine Genetic Resources, Xiamen, China; Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, SOA, Xiamen, China; Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen, China; Collaborative Innovation Center of Deep Sea Biology, Xiamen, China; Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Xiamen, China.
Jun YuanState Key Laboratory Breeding Base of Marine Genetic Resources, Xiamen, China; Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, SOA, Xiamen, China; Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen, China; Collaborative Innovation Center of Deep Sea Biology, Xiamen, China; Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Xiamen, China.
Juan DuState Key Laboratory Breeding Base of Marine Genetic Resources, Xiamen, China; Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, SOA, Xiamen, China; Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen, China; Collaborative Innovation Center of Deep Sea Biology, Xiamen, China; Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Xiamen, China.
Liping WangState Key Laboratory Breeding Base of Marine Genetic Resources, Xiamen, China; Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, SOA, Xiamen, China; Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen, China; Collaborative Innovation Center of Deep Sea Biology, Xiamen, China; Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Xiamen, China.
Fengqin SunState Key Laboratory Breeding Base of Marine Genetic Resources, Xiamen, China; Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, SOA, Xiamen, China; Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen, China; Collaborative Innovation Center of Deep Sea Biology, Xiamen, China; Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Xiamen, China.
Zongze ShaoState Key Laboratory Breeding Base of Marine Genetic Resources, Xiamen, China; Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, SOA, Xiamen, China; Key Laboratory of Marine Genetic Resources of Fujian Province, Xiamen, China; Collaborative Innovation Center of Deep Sea Biology, Xiamen, China; Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Xiamen, China.
Fujian Fisheries Research Institute · CNFujian Institute of Oceanography · CNCollaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thalassospira bacteria are widespread and have been isolated from various marine environments. Less is known about their genetic diversity and biogeography, as well as their role in marine environments, many of them cannot be discriminated merely using the 16S rRNA gene. To address these issues, in this report, the phylogenetic analysis of 58 strains from seawater and deep sea sediments were carried out using the multilocus sequence analysis (MLSA) based on acsA, aroE, gyrB, mutL, rpoD and trpB genes, and the DNA-DNA hybridization (DDH) and average nucleotide identity (ANI) based on genome sequences. The MLSA analysis demonstrated that the 58 strains were clearly separated into 15 lineages, corresponding to seven validly described species and eight potential novel species. The DDH and ANI values further confirmed the validity of the MLSA analysis and eight potential novel species. The MLSA interspecies gap of the genus Thalassospira was determined to be 96.16-97.12% sequence identity on the basis of the combined analyses of the DDH and MLSA, while the ANIm interspecies gap was 95.76-97.20% based on the in silico DDH analysis. Meanwhile, phylogenetic analyses showed that the Thalassospira bacteria exhibited distribution pattern to a certain degree according to geographic regions. Moreover, they clustered together according to the habitats depth. For short, the phylogenetic analyses and biogeography of the Thalassospira bacteria were systematically investigated for the first time. These results will be helpful to explore further their ecological role and adaptive evolution in marine environments.

Indexed as

BiodiversityMarine BiologyPhylogeographyGenes, BacterialRhodospirillaceae

Identifiers

PMID25198177
PMCPMC4157779
OpenAlexW1971599143

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.