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Isolation of potentially novel species expands the genomic and functional diversity of Lachnospiraceae

Authors: Xiaoqian Lin; Tongyuan Hu; Zhinan Wu; Lingne Li; Yuhao Wang; Dingyang Wen; Xudong Liu; +9 Authors

Isolation of potentially novel species expands the genomic and functional diversity of Lachnospiraceae

Abstract

AbstractThe Lachnospiraceae family holds promise as a source of next‐generation probiotics, yet a comprehensive delineation of its diversity is lacking, hampering the identification of suitable strains for future applications. To address this knowledge gap, we conducted an in‐depth genomic and functional analysis of 1868 high‐quality genomes, combining data from public databases with our new isolates. This data set represented 387 colonization‐selective species‐level clusters, of which eight genera represented multilineage clusters. Pan‐genome analysis, single‐nucleotide polymorphism (SNP) identification, and probiotic functional predictions revealed that species taxonomy, habitats, and geography together shape the functional diversity of Lachnospiraceae. Moreover, analyses of associations with atherosclerotic cardiovascular disease (ACVD) and inflammatory bowel disease (IBD) indicated that several strains of potentially novel Lachnospiraceae species possess the capacity to reduce the abundance of opportunistic pathogens, thereby imparting potential health benefits. Our findings shed light on the untapped potential of novel species enabling knowledge‐based selection of strains for the development of next‐generation probiotics holding promise for improving human health and disease management.

Country
Denmark
Keywords

Computer applications to medicine. Medical informatics, R858-859.7, next-generation probiotics, Lachnospiraceae, genomic analysis, probiotic functional predictions, next‐generation probiotics, Research Articles

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 1%
Green
gold