Evidence map›Paper›PMID 36585993›Full record

ArticleMolecular genetics and genomics : MGG2023

Genome sequence analysis and characterization of Bacillus altitudinis B12, a polylactic acid- and keratin-degrading bacterium.

Sergio Bordel, Diego Martín-González, Raúl Muñoz, Fernando Santos-Beneit

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In one paragraph

Article in Molecular genetics and genomics : MGG, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Characterization ofMicroorganisms · 2023
    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

4 authors.

Sergio BordelInstitute of Sustainable Processes, Dr. Mergelina S/N, 47011, Valladolid, Spain.ORCID http://orcid.org/0000-0001-6162-6478
Diego Martín-GonzálezInstitute of Sustainable Processes, Dr. Mergelina S/N, 47011, Valladolid, Spain.
Raúl MuñozInstitute of Sustainable Processes, Dr. Mergelina S/N, 47011, Valladolid, Spain.ORCID http://orcid.org/0000-0003-1207-6275
Fernando Santos-BeneitInstitute of Sustainable Processes, Dr. Mergelina S/N, 47011, Valladolid, Spain. fernando.santos.beneit@uva.es.ORCID http://orcid.org/0000-0001-7986-5557

Funding

FEDER (TCUE 2021-2023) 067/229111
6 · The paper itself

Abstract

Keratin-rich wastes, mainly in the form of feathers, are recalcitrant residues generated in high amounts as by-products in chicken farms and food industry. Polylactic acid (PLA) is the second most common biodegradable polymer found in commercial plastics, which is not easily degraded by microbial activity. This work reports the 3.8-Mb genome of Bacillus altitudinis B12, a highly efficient PLA- and keratin-degrading bacterium, with potential for environmental friendly biotechnological applications in the feed, fertilizer, detergent, leather, and pharmaceutical industries. The whole genome sequence of B. altitudinis B12 revealed that this strain (which had been previously misclassified as Bacillus pumilus B12) is closely related to the B. altitudinis strains ER5, W3, and GR-8. A total of 4056 coding sequences were annotated using the RAST server, of which 2484 are core genes of the pan genome of B. altitudinis and 171 are unique to this strain. According to the sequence analysis, B. pumilus B12 has a predicted secretome of 353 proteins, among which a keratinase and a PLA depolymerase were identified by sequence analysis. The presence of these two enzymes could explain the characterized PLA and keratin biodegradation capability of the strain.

Indexed as

BacteriaKeratinsAnimalsBacillusPolyestersSequence AnalysisKeratinsPolyesterspoly(lactide)Bacillus altitudinisKeratinasesPan genomePolyester biodegradation

Identifiers

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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.