Evidence map›Paper›PMID 19216801›Full record

ArticleBMC microbiology2009

The time course of the transcriptomic response of Sinorhizobium meliloti 1021 following a shift to acidic pH.

Christoph Hellweg, Alfred Pühler, Stefan Weidner

Abstract read
In one paragraph

Article in BMC microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Transcriptomic Response ofInternational journal of molecular sciences · 2024
    Article
  3. Article
  4. Review
  5. Article
  6. Transcriptomic response ofFrontiers in microbiology · 2023
    Article
  7. Analysis ofMicroorganisms · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Dissecting the Acid Stress Response ofFrontiers in microbiology · 2018
    Article
  18. Article
  19. Article
  20. 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

3 authors.

Christoph HellwegLehrstuhl für Genetik, Fakultät für Biologie, Universität Bielefeld, Bielefeld, Germany. Christoph.Hellweg@Genetik.Uni-Bielefeld.DE
Alfred Pühler
Stefan Weidner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe symbiotic soil bacterium Sinorhizobium meliloti often has to face low pH in its natural habitats. To identify genes responding to pH stress a global transcriptional analysis of S. meliloti strain 1021 following a pH shift from pH 7.0 to pH 5.75 was carried out. In detail, oligo-based whole genome microarrays were used in a time course experiment. The monitoring period covered a time span of about one hour after the pH shift. The obtained microarray data was filtered and grouped by K-means clustering in order to obtain groups of genes behaving similarly concerning their expression levels throughout the time course.

resultsThe results display a versatile response of S. meliloti 1021 represented by distinct expression profiles of subsets of genes with functional relation. The eight generated clusters could be subdivided into a group of four clusters containing genes that were up-regulated and another group of four clusters containing genes that were down-regulated in response to the acidic pH shift. The respective mean expression progression of the four up-regulated clusters could be described as (i) permanently and strong, (ii) permanently and intermediate, (iii) permanently and progressive, and (iv) transiently up-regulated. The expression profile of the four down-regulated clusters could be characterized as (i) permanently, (ii) permanently and progressive, (iii) transiently, and (iv) ultra short down-regulated. Genes coding for proteins with functional relation were mostly cumulated in the same cluster, pointing to a characteristic expression profile for distinct cellular functions. Among the strongest up-regulated genes lpiA, degP1, cah, exoV and exoH were found. The most striking functional groups responding to the shift to acidic pH were genes of the exopolysaccharide I biosynthesis as well as flagellar and chemotaxis genes. While the genes of the exopolysaccharide I biosynthesis (exoY, exoQ, exoW, exoV, exoT, exoH, exoK exoL, exoO, exoN, exoP) were up-regulated, the expression level of the flagellar and chemotaxis genes (visR, motA, flgF, flgB, flgC, fliE, flgG, flgE, flgL, flbT, mcpU) simultaneously decreased in response to acidic pH. Other responding functional groups of genes mainly belonged to nitrogen uptake and metabolism (amtB, nrtB, nirB, nirD), methionine metabolism (metA, metF, metH, metK, bmt and ahcY) as well as ion transport systems (sitABCD, phoCD). It is noteworthy, that several genes coding for hypothetical proteins of unknown function could be identified as up-regulated in response to the pH shift.

conclusionIt was shown that the short term response to acidic pH stress does not result in a simple induction or repression of genes, but in a sequence of responses varying in their intensity over time. Obviously, the response to acidic pH is not based on a few specific genes, but involves whole sets of genes associated with various cellular functions.

Indexed as

Gene Expression ProfilingGene Expression Regulation, BacterialAcidsAnti-Bacterial AgentsHydrogen-Ion ConcentrationOligonucleotide Array Sequence AnalysisSinorhizobium melilotiTime FactorsAcidsAnti-Bacterial Agents

Identifiers

PMID19216801
PMCPMC2651895

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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.