Comparative Genome Analysis of Lactococcus lactis Indicates Niche Adaptation and Resolves Genotype/Phenotype Disparity
Open accessAbstract
Lactococcus lactis is one of the most important micro-organisms in the dairy industry for the fermentation of cheese and buttermilk. Besides the conversion of lactose to lactate it is responsible for product properties such as flavor and texture, which are determined by volatile metabolites, proteolytic activity and exopolysaccharide production. While the species Lactococcus lactis consists of the two subspecies lactis and cremoris their taxonomic position is confused by a group of strains that, despite of a cremoris genotype, display a lactis phenotype. Here we compared and analyzed the (draft) genomes of 43 L. lactis strains, of which 19 are of dairy and 24 are of non-dairy origin. Machine-learning algorithms facilitated the identification of orthologous groups of protein sequences (OGs) that are predictors for either the taxonomic position or the source of isolation. This allowed the unambiguous categorization of the genotype/phenotype disparity of ssp. lactis and ssp. cremoris strains. A detailed analysis of phenotypic properties including plasmid-encoded genes indicates evolutionary changes during niche adaptations. The results are consistent with the hypothesis that dairy isolates evolved from plant isolates. The analysis further suggests that genomes of cremoris phenotype strains are so eroded that they are restricted to a dairy environment. Overall the genome comparison of a diverse set of strains allowed the identification of niche and subspecies specific genes. This explains evolutionary relationships and will aid the identification and selection of industrial starter cultures.
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Recent studies in different microbial species have shown that high growth rates come at the expense of the expression level of metabolic enzymes and/or stress proteins.
“Recent studies in different microbial species have shown that high growth rates come at the expense of the expression level of metabolic enzymes and/or stress proteins [69,83,84].”
From Microbiota of Cheese Ecosystems: A Perspective on Cheesemaking (2025) · cites this paper as [84]
The Results discuss genes associated with growth on particular substrates and with stress tolerance, while the Discussion describes gene loss during niche adaptation. Neither section addresses whether higher growth rates reduce expression of metabolic enzymes or stress proteins; searches for the quoted trade-off and a proteome-allocation paraphrase found no such passage. Page numbers were not available in our copy. (LLM, conf=0.75)
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- Authors
- Wels, M., Siezen, R., van Hijum, S., Kelly, W. J., & Bachmann, H.
- Affiliations
- TiFN (NL)
- Radboud University Nijmegen (NL)
- Corresponding author
- Bachmann, Herwig
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2019-01-31
- Volume
- 10
- Pages
- 4-4
- ISSN
- 1664-302X (ISSN-L)
- PMC
- PMC6365430
- OpenAlex
- W2914353965
- Cited by
- 181
- References
- 111
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 10 · 2023: 21 · 2022: 6 · 2021: 61 · 2020: 48 · 2019: 9
- FWCI
- 23.91
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Microbiology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- VU Research Portal (publishedVersion, other-oa)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- Lactococcus lactis, Lactococcus lactis subsp. cremoris, niche adaptation, comparative genomics, orthogroups, machine learning, plasmid genes, dairy starter cultures, genome erosion
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