Evidence map›Paper›PMID 28655216›Full record

ArticleAMB Express2017

Phenotypic and genomic survey on organic acid utilization profile of Pseudomonas mendocina strain S5.2, a vineyard soil isolate.

Teik Min Chong, Jian-Woon Chen, Wah-Seng See-Too, Choo-Yee Yu, Geik-Yong Ang, Yan Lue Lim, Wai-Fong Yin, Catherine Grandclément, Denis Faure, Yves Dessaux and 1 more

Open access · goldAbstract read
In one paragraph

Article in AMB Express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Microbial high throughput phenomics: The potential of an irreplaceable omics.Computational and structural biotechnology journal · 2020
    Review
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

11 authors at 4 institutions in 2 countries.

Teik Min ChongDivision of Genetics and Molecular Biology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Jian-Woon ChenDivision of Genetics and Molecular Biology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Wah-Seng See-TooDivision of Genetics and Molecular Biology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Choo-Yee YuIntegrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia.
Geik-Yong AngIntegrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia.
Yan Lue LimDivision of Genetics and Molecular Biology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Wai-Fong YinDivision of Genetics and Molecular Biology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Catherine GrandclémentInstitute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Sud, Université Paris-Saclay, 91198, Gif-Sur-Yvette, France.
Denis FaureInstitute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Sud, Université Paris-Saclay, 91198, Gif-Sur-Yvette, France.
Yves DessauxInstitute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Sud, Université Paris-Saclay, 91198, Gif-Sur-Yvette, France.
Kok-Gan ChanDivision of Genetics and Molecular Biology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia. kokgan@um.edu.my.
University of Malaya · MYInstitut de Biologie Intégrative de la Cellule · FRUniversiti Teknologi MARA · MYInstitut des Sciences Biologiques · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root exudates are chemical compounds that are released from living plant roots and provide significant energy, carbon, nitrogen and phosphorus sources for microbes inhabiting the rhizosphere. The exudates shape the microflora associated with the plant, as well as influences the plant health and productivity. Therefore, a better understanding of the trophic link that is established between the plant and the associated bacteria is necessary. In this study, a comprehensive survey on the utilization of grapevine and rootstock related organic acids were conducted on a vineyard soil isolate which is Pseudomonas mendocina strain S5.2. Phenotype microarray analysis has demonstrated that this strain can utilize several organic acids including lactic acid, succinic acid, malic acid, citric acid and fumaric acid as sole growth substrates. Complete genome analysis using single molecule real-time technology revealed that the genome consists of a 5,120,146 bp circular chromosome and a 252,328 bp megaplasmid. A series of genetic determinants associated with the carbon utilization signature of the strain were subsequently identified in the chromosome. Of note, the coexistence of genes encoding several iron-sulfur cluster independent isoenzymes in the genome indicated the importance of these enzymes in the events of iron deficiency. Synteny and comparative analysis have also unraveled the unique features of D-lactate dehydrogenase of strain S5.2 in the study. Collective information of this work has provided insights on the metabolic role of this strain in vineyard soil rhizosphere.

Indexed as

Carbon utilization enzymesGrapevine exudatesOrganic acidsPseudomonas mendocinaSingle molecule real-time (SMRT) sequencingVineyard soil

Identifiers

PMID28655216
PMCPMC5484659
OpenAlexW2662047112

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.