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16S rRNA gene sequencing and MALDI TOF mass spectroscopy identification of Leuconostoc mesenteroides isolated from Algerian raw camel milk

Overview of attention for article published in Journal of Genetic Engineering and Biotechnology, May 2023
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Title
16S rRNA gene sequencing and MALDI TOF mass spectroscopy identification of Leuconostoc mesenteroides isolated from Algerian raw camel milk
Published in
Journal of Genetic Engineering and Biotechnology, May 2023
DOI 10.1186/s43141-023-00500-1
Pubmed ID
Authors

Hanane Fatma Chentouf, Fouzia Rahli, Zineb Benmechernene, Jorge Barros-Velazquez

Abstract

Eighty-three strains of Leuconostoc mesenteroides were isolated from Algerian raw camel milk. Based on morphological, biochemical, and physiological characters tests, strains were identified as Ln. mesenteroides subsp. mesenteroides. Seven strains had a remarkable antagonistic and probiotic characterization. The present study aims at identifying these strains by means of 16 s rRNA gene sequencing and Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), extending phenotypic and genotypic studies done previously. The phyloproteomic dendrograms of the studied strains based on MALDI-TOF MS provided the same identification with more intraspecific information from the 16S rRNA gene sequencing based on phylogenetic analysis. The latter were in agreement with the previous biochemical/physiological identification, the seven isolated strains were Ln. mesenteroides subsp. mesenteroides. Remarkably, MALDI-TOF MS fingerprinting was found to be effective enough as 16S rRNA gene sequencing identification, allowing faster and more reliable analysis than biochemical/physiological methods.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 25%
Other 2 17%
Student > Master 1 8%
Unknown 6 50%
Readers by discipline Count As %
Unspecified 3 25%
Earth and Planetary Sciences 1 8%
Chemistry 1 8%
Unknown 7 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2023.
All research outputs
#21,024,592
of 25,822,778 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#222
of 352 outputs
Outputs of similar age
#307,333
of 411,674 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#13
of 20 outputs
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So far Altmetric has tracked 352 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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