MétaCan
Menu
Back to cohort
Record W4415979618 · doi:10.1099/mgen.0.001726

Multi-omic characterization of the sow colostrum and milk microbiome and proteome

2025· preprint· en· W4415979618 on OpenAlexafffund
Devin B. Holman, Katherine E. Gzyl, Arun Kommadath, Pekka Määttänen

Bibliographic record

VenueMicrobial Genomics · 2025
Typepreprint
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsBurman UniversityAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsColostrumProteomeMicrobiomeImmune systemMetagenomicsBacteriaProteomicsHost (biology)Lactation

Abstract

fetched live from OpenAlex

Abstract Sow colostrum and milk provide essential nutrients, immune protection, and one of the earliest microbial exposures for piglets. However, the microbial composition, functional potential, and host interactions of these mammary secretions remain poorly characterized. Here, we combined culturomics, metagenomics, and proteomics to comprehensively characterize the microbiome and proteome of sow colostrum and milk collected at farrowing and at 7 and 21 days postpartum. We recovered 132 bacterial isolates representing at least 42 species, including 15 putative novel taxa. These isolates included both potentially pathogenic species such as Sarcina perfringens and Streptococcus suis and potentially beneficial bacterial species like Lactobacillus amylovorus and Lactiplantibacillus plantarum . The microbial composition and functional potential shifted significantly as the milk matured, with L. amylovorus , Limosilactobacillus reuteri , and Rothia spp. among the most relatively abundant taxa. Several antimicrobial resistance genes, including erm (C), tet(K) , tet (M), lnu(A) , poxtA , and fexB , were identified on contigs encoding plasmid replicons in the isolates, indicating potential for horizontal gene transfer. Functional annotation of isolate genomes indicated broad carbohydrate-active enzyme (CAZyme) repertoires, including those conferring β-galactosidase activity and the capacity to metabolize milk oligosaccharides. The colostrum and milk proteome also shifted during lactation, reflecting declining immune-related proteins and increasing metabolic and structural proteins. Correlations between specific microbial taxa and host proteins, including Rothia spp. and immune proteins or glycoproteins, suggested potential host–microbe interactions during lactation. Together, these findings provide a multi-omic perspective on how mammary microbiome dynamics and host responses during lactation may influence neonatal microbial colonization and health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.286
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueMicrobial GenomicsSame topicAnimal health and immunologyFrench-language works237,207