Evidence map›Paper›PMID 32990840›Full record

ArticleJournal of industrial microbiology & biotechnology2020

Enhanced poly-γ-L-diaminobutanoic acid production in Bacillus pumilus by combining genome shuffling with multiple antibiotic-resistance.

Shu Li, Liang Wang, Nan Wang

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2020. 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
0.1field-weighted citation impact, top 55% 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, 4 citations in OpenAlex.

  1. Article
  2. Mutagenesis and Analysis for Enhancing (2Molecules (Basel, Switzerland) · 2026
    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

3 authors at 2 institutions in 1 country.

Shu LiMarine College, Shandong University, Weihai, 264209, Shandong, China. lishu2016@sdu.edu.cn.ORCID http://orcid.org/0000-0003-4570-9198
Liang WangThe Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Nan WangTesting Center, Weihai Food and Drug Administration, Weihai, 264210, China.
Jiangnan University · CNShandong University · CN

Funding

Shandong Natural Science Foundation ZR2019BC044
6 · The paper itself

Abstract

A breeding approach combining genome shuffling with multiple antibiotic-resistance including gentamicin, rifampin and lincomycin, was developed in this research to improve the poly-γ-L-diaminobutanoic acid (γ-PAB) production in Bacillus pumilus LS-1. By this unique strategy, recombinants from the third round of genome shuffling could tolerate higher concentration of compound antibiotics and exhibited higher γ-PAB production as 392.4 mg/L in shake-flask fermentation, tenfold over the parent. In batch fermentation, B. pumilus GS3-M7 could produce γ-PAB as high as 2316.4 mg/L in two days, 5.4-fold higher than the control, which was the highest productivity ever reported. In addition, the optimal pH in B. pumilus for γ-PAB synthesis was decreased after ARTP mutagenesis and protoplast fusion, because the lower pH environment is favorable for accumulation of intracellular ATP. Some key enzymes in GS3-M7 showed higher activities than those in the parent, suggesting a greater flux to TCA circle and DAP pathway, which was a reason for enhanced γ-PAB production.

Indexed as

Bacillus pumilusDNA ShufflingFermentationAnti-Bacterial AgentsDrug Resistance, MicrobialGenome, BacterialMutagenesisAnti-Bacterial AgentsAntibiotic resistanceFermentationGenome shufflingPoly-γ-L-diaminobutanoic acid

Identifiers

PMID32990840
OpenAlexW3089388390

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.