Genome mining approach reveals the CRISPR-Cas systems features and characteristics in Lactobacillus delbrueckii strains

This study employed a comprehensive genome-mining approach to characterize CRISPR-Cas systems in <i>Lactobacillus delbrueckii</i> strains. The analysis involved retrieving 105 genome sequences to explore the variety, occurrence, and evolution of CRISPR-Cas systems within the species. Homology analysis of spacer sequences in detected CRISPR arrays was conducted to assess the variety of target phages and plasmids. The evolutionary trajectories of spaceromes in each subtype of CRISPR arrays were determined by analyzing acquisition and deletion events under the selection pressure of foreign plasmids and phages. Among the analyzed strains, 53 contained only one CRISPR-Cas locus, 11 had two loci, and 21 featured three loci with complete CRISPR-Cas systems. Subtype designation of the results of current study revealed that 56 % of these systems belong to subtypes I-E/I-C, 23 % to subtypes III-A/III-D, and 17 % to subtype II-A. Notably, certain plasmids were found to be specifically targeted by distinct CRISPR array systems. The comparison of spacer sequences with phage genomes indicated that strains containing only CRISPR-Cas type-I systems targeted a broader range of phages. In conclusion, this study highlights the diversity of the three identified CRISPR-Cas types in <i>L. delbrueckii</i> strains and emphasizes their significant role in defense against phage invasion.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2024-11-01
DOI
https://doi.org/10.1016/j.heliyon.2024.e39920
Citations
4
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.94

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genome mining approach reveals the CRISPR-Cas systems features and characteristics in Lactobacillus delbrueckii strains

Mohammad Reza Ghaffari, Bahman Panahi, Yousef Nami, Mohaddeseh Rostampour
4 citations
Heliyon
CRISPR and Genetic Engineering
0.94
article

Genome mining approach reveals the CRISPR-Cas systems features and characteristics in Lactobacillus delbrueckii strains

Mohammad Reza Ghaffari, Bahman Panahi, Yousef Nami, Mohaddeseh Rostampour
article en
4 citations

Abstract

This study employed a comprehensive genome-mining approach to characterize CRISPR-Cas systems in <i>Lactobacillus delbrueckii</i> strains. The analysis involved retrieving 105 genome sequences to explore the variety, occurrence, and evolution of CRISPR-Cas systems within the species. Homology analysis of spacer sequences in detected CRISPR arrays was conducted to assess the variety of target phages and plasmids. The evolutionary trajectories of spaceromes in each subtype of CRISPR arrays were determined by analyzing acquisition and deletion events under the selection pressure of foreign plasmids and phages. Among the analyzed strains, 53 contained only one CRISPR-Cas locus, 11 had two loci, and 21 featured three loci with complete CRISPR-Cas systems. Subtype designation of the results of current study revealed that 56 % of these systems belong to subtypes I-E/I-C, 23 % to subtypes III-A/III-D, and 17 % to subtype II-A. Notably, certain plasmids were found to be specifically targeted by distinct CRISPR array systems. The comparison of spacer sequences with phage genomes indicated that strains containing only CRISPR-Cas type-I systems targeted a broader range of phages. In conclusion, this study highlights the diversity of the three identified CRISPR-Cas types in <i>L. delbrueckii</i> strains and emphasizes their significant role in defense against phage invasion.

HeliyonVol. 10(22)
Agricultural Research & Education Organization (IR), Agricultural Biotechnology Research Institute of Iran (IR)
Agricultural Biotechnology Research Institute of Iran
Openalex Percentile: Top 25%
CRISPR and Genetic Engineering
0.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.