Evidence map›Paper›PMID 35416684›Full record

ArticleApplied and environmental microbiology2022

High-Resolution Chrono-Transcriptome of Lactococcus lactis Reveals That It Expresses Proteins with Adapted Size and pI upon Acidification and Nutrient Starvation.

João P C Pinto, Rutger Brouwer, Araz Zeyniyev, Oscar P Kuipers, Jan Kok

Open access · hybridAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Host interactions ofApplied and environmental microbiology · 2025
    Article
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

5 authors at 1 institution in 1 country.

João P C Pinto *Department of Molecular Genetics, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningengrid.4830.f, Groningen, the Netherlands.
Rutger Brouwer *Department of Molecular Genetics, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningengrid.4830.f, Groningen, the Netherlands.
Araz ZeyniyevDepartment of Molecular Genetics, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningengrid.4830.f, Groningen, the Netherlands.
Oscar P KuipersDepartment of Molecular Genetics, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningengrid.4830.f, Groningen, the Netherlands.ORCID 0000-0001-5596-7735
Jan KokDepartment of Molecular Genetics, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningengrid.4830.f, Groningen, the Netherlands.ORCID 0000-0001-8259-1008
University of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome transcriptional analyses performed on microorganisms are traditionally based on a small number of samples. To map transient expression variations, and thoroughly characterize gene expression throughout the growth curve of the widely used model organism Lactococcus lactis MG1363, gene expression data were collected with unprecedented time resolution. The resulting gene expression patterns were globally analyzed in several different ways to demonstrate the richness of the data and the ease with which novel phenomena can be discovered. When the culture moves from one growth phase to another, gene expression patterns change to such an extent that we suggest that those patterns can be used to unequivocally distinguish growth phases from each other. Also, within the classically defined growth phases, subgrowth phases were distinguishable with a distinct expression signature. Apart from the global expression pattern shifts seen throughout the growth curve, several cases of short-lived transient gene expression patterns were clearly observed. These could help explain the gene expression variations frequently observed in biological replicates. A method was devised to estimate a measure of unnormalized/absolute gene expression levels and used to determine how global transcription patterns are influenced by nutrient starvation or acidification of the medium. Notably, we inferred that L. lactis MG1363 produces proteins with on average lower pIs and lower molecular weights as the medium acidifies and nutrients get scarcer.

Indexed as

Lactococcus lactisAdaptation, PhysiologicalHydrogen-Ion ConcentrationNutrientsTranscriptomeNutrientsacidificationDNA microarraysLactococcus lactisnutrient starvationphysiologytranscriptomics

Identifiers

PMID35416684
PMCPMC9088255
OpenAlexW4223485758

What Socratic 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 Socratic graph.