Evidence map›Paper›PMID 27485629›Full record

ArticleCurrent microbiology2016

Investigation of Growth Phase-Dependent Acid Tolerance in Bifidobacteria longum BBMN68.

Junhua Jin, Jingyi Song, Fazheng Ren, Hongxing Zhang, Yuanhong Xie, Jingsheng Ma, Xue Li

Abstract read
PubMed Publisher
In one paragraph

Article in Current microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. [Effect of Lipoteichoic Acid Synthesis-Related GeneSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022
    Article
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Junhua JinFood Science and Engineering College, Beijing University of Agriculture, Beijing Laboratory of Food Quality and Safety, Beijing Key Laboratory of Detection and Control of Spoilage Organisms and Pesticide Residues in Agricultural Products, Beijing Engineering Laboratory of Probiotics Key Technology Development, Beijing, 102206, China. jinjunhua002008@163.com.
Jingyi SongFood Science and Engineering College, Beijing University of Agriculture, Beijing Laboratory of Food Quality and Safety, Beijing Key Laboratory of Detection and Control of Spoilage Organisms and Pesticide Residues in Agricultural Products, Beijing Engineering Laboratory of Probiotics Key Technology Development, Beijing, 102206, China.
Fazheng RenThe Innovation Centre of Food Nutrition and Human Health (Beijing), College of Food Science and Nutritional Engineering, China Agriculture University, Beijing, 100083, China.
Hongxing ZhangFood Science and Engineering College, Beijing University of Agriculture, Beijing Laboratory of Food Quality and Safety, Beijing Key Laboratory of Detection and Control of Spoilage Organisms and Pesticide Residues in Agricultural Products, Beijing Engineering Laboratory of Probiotics Key Technology Development, Beijing, 102206, China.
Yuanhong XieFood Science and Engineering College, Beijing University of Agriculture, Beijing Laboratory of Food Quality and Safety, Beijing Key Laboratory of Detection and Control of Spoilage Organisms and Pesticide Residues in Agricultural Products, Beijing Engineering Laboratory of Probiotics Key Technology Development, Beijing, 102206, China.
Jingsheng MaFood Science and Engineering College, Beijing University of Agriculture, Beijing Laboratory of Food Quality and Safety, Beijing Key Laboratory of Detection and Control of Spoilage Organisms and Pesticide Residues in Agricultural Products, Beijing Engineering Laboratory of Probiotics Key Technology Development, Beijing, 102206, China.
Xue LiFood Science and Engineering College, Beijing University of Agriculture, Beijing Laboratory of Food Quality and Safety, Beijing Key Laboratory of Detection and Control of Spoilage Organisms and Pesticide Residues in Agricultural Products, Beijing Engineering Laboratory of Probiotics Key Technology Development, Beijing, 102206, China.
Beijing University of Agriculture · CNBeijing Agricultural Machinery Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The underlying mechanisms imparting the growth phase-dependent acid tolerance have not been extensively investigated. In this study, we compared the acid resistance of the Bifidobacterium longum strain BBMN68 from different growth phases at lethal pH values (pH 2.5, 3.0, and 3.5), and analyzed the activity of H(+)-ATPase, the composition of fatty acids, and the mRNA abundance of ffh, uvrA, recA, lexA, groES, and dnaK in cells from different growth phases. The results indicated that the survival rates of cells from early stationary (ES) and late stationary (LS) growth phases at lethal pH values were significantly higher than those of exponential growth phase cells. Our findings indicated that by inducing a continuously auto-acidizing environment during cell growth, the acid resistance of ES and LS cells was strengthened. The higher activity of H(+)-ATPase, the decrease in unsaturated fatty acids, and the increased expression of genes involved in DNA repair and protein protection in the cells in stationary growth phase were all implicated in the significantly increased acid resistance of ES and LS cells compared with exponential growth phase cells of the B. longum strain BBMN68.

Indexed as

AcidsBacterial ProteinsBifidobacterium longumGene Expression Regulation, BacterialHydrogen-Ion ConcentrationMicrobial ViabilityAcidsBacterial Proteins

Identifiers

PMID27485629
OpenAlexW2476361793

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.