https://www.alice.cnptia.embrapa.br/alice/handle/item/160 Artigo em periódico indexado (CNPGC) 2026-06-16T15:21:49Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187313 Título: Decoding bull fertility under tropical conditions: multivariate predictive modelling from 25,512 field spermiograms. Autoria: FASSANO, C. J.; LIMA, P. H. L. de; SOUZA, F. A.; LARA, N. S. de; BERGSTEIN-GALAN, T. G.; NOGUEIRA, E.; KOZICKI, L. E. Conteúdo: ABSTRACT - This large-scale study evaluated 25,512 Nellore bulls raised under tropical field conditions to elucidate multivariate determinants of breeding soundness and to derive a data-driven risk stratification framework based on BSE outcomes. Macro- and microscopic semen traits (e.g., progressive motility, sperm morphology including major defects, scrotal circumference, vigour and mass activity), recorded clinical alterations and epidemiological factors (age and seasonality) were integrated using multivariable modelling and internal validation. Logistic regression identified progressive motility, proportion of major defects and scrotal circumference as independent predictors of BSE-based unfitness, with a cross-validated ROC AUC of 0.84 (95% CI 0.83–0.85), indicating high discriminative performance. Principal component and clustering analyses revealed three reproducible phenotypic profiles (optimal, intermediate and critical) combining functional, morphological and anatomical attributes. These components were synthesised into a Breeding Soundness Risk Index (BSRI) showing consistent calibration and stability under five-fold crossvalidation, enabling objective stratification of bulls by probability of BSE-based unfitness. Advancing age and seasonal heat load were associated with increased odds of BSE-based unfitness, consistent with cumulative thermal and physiological stress under tropical management. Collectively, these results support progressive motility, major sperm defects and scrotal circumference as cornerstone indicators of breeding soundness in large-scale field settings, and the BSRI provides an objective, field-applicable score to support sire selection and management decisions under tropical conditions 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187304 Título: Resistome and mobilome profiling of raw cow and buffalo milk from the Brazilian Amazon via shotgun metagenomics. Autoria: CARNEIRO, P. A. M.; SANTOS, L. R. dos; JARDIM, R.; SILVA, C. B. D. G. e; ARAUJO, F. R.; DÁVILA, A. M. R. Conteúdo: ABSTRACT - Background/Objectives: Antimicrobial resistance (AMR) is a global health threat, with raw milk serving as a potential reservoir for antimicrobial resistance genes (ARGs) and mobile genetic elements (MGEs). This study characterized the resistome and mobilome of raw milk from cows (Bos taurus) and water buffalo (Bubalus bubalis) in the Brazilian Amazon, a region where unpasteurized dairy consumption is culturally ingrained. Methods: Using shotgun metagenomic sequencing, we analyzed 32 pooled milk samples from extensive and semi-intensive farms in the Manaus Metropolitan Region. Results: Sequencing yielded over 3.1 million contigs. While cow milk showed a higher prevalence of positive samples (80%), buffalo milk exhibited a significantly higher abundance and diversity of ARG-associated contigs (301 contigs vs. 85 in cows). Clinically relevant genes were identified, including AbaQ, ArnT, and KpnF, alongside complex multi-AMR cassettes co-occurring with plasmids and widespread viral sequences (dominated by Caudoviricetes). Integrons were ubiquitous in cattle and highly prevalent in buffalo samples. Conclusions: These findings indicate that raw milk in the Amazon harbors a rich reservoir of resistance determinants and MGEs, likely driven by farm-level antibiotic usage. This underscores a critical food safety risk and highlights the need for One Health-based surveillance in the region. 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186958 Título: Meat species identification and classification by MALDI-TOF mass spectrometry. Autoria: VERBISCK, N. V.; SOUZA, L. B. de; CARDOZO, M. V.; GUIMARAES, N. G. P.; FEIJO, G. L. D. Conteúdo: ABTRACT - Protein profiling generated by MALDI-TOF (matrix-assisted laser desorption ionizationtime-of-flight) was used to distinguish meat from different livestock species and identify meat species. Meat proteins from fresh beef (n = 12), pork (n = 7), chicken (n = 5) and tilapia fish (n = 3) were extracted and analyzed in a MALDI Biotyper mass spectrometer (Bruker Daltonics, Bremen, Germany) with alpha-cyano-4-hydroxycinnamic acid as the matrix. Mass spectra allowed the distinction of meat species, including between Nellore and Angus bovine breeds, and PCA classification revealed possible biomarkers for meat types. Our results corroborate MALDI-TOF mass spectrometry as an interesting tool for meat identification, which is useful for quality control and the certification of meat products. 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186955 Título: Emergence of distinct Burkholderia pseudomallei lineages in Brazil: Phenotypic, genotypic, and phylogenetic agreement. Autoria: VELOSO, D. S.; ARAUJO, F. R.; SANTOS, L. R. dos; SUNIGA, P. A. P.; MORIYA, J. C. K.; VERBISCK, N. V.; GASQUÉ, M.; LAROUCAU, K.; LEMOS, E. R. S.; HORTA, M. A. Conteúdo: ABSTRACT - Burkholderia pseudomallei is a Gram-negative facultative intracellular bacterium that causes melioidosis, a neglected tropical disease that spreads beyond traditional endemic regions. This study examined B. pseudomallei isolates obtained from five melioidosis cases in Piauí, Brazil, using phenotypic, molecular, and genomic methods. Isolates were identified as B. pseudomallei using VITEK 2 system and MALDI-TOF mass spectrometry. Conventional PCR targeting the orf11, burk17, and burk475 gene regions confirmed species-level identification, with sequences showing 98.78–100% identity to GenBank B. pseudomallei references. Whole-genome sequencing and multi-locus sequence typing (MLST) revealed two novel sequence types; ST2226 (four isolates), clustering closely with strains from Cear´ a (ST1455 and ST1458), ST2234 (one isolate), related to previously reported ST95 and ST1355 strains, previously detected in Brazil. Phylogenetic analysis based on single nucleotide polymorphism (SNPs) and concatenated MLST data showed clear genetic distinction between the two lineages, suggesting regional spread or shared ancestry. These findings confirm the presence of at least two distinct genetic B. pseudomallei lineages in Piauí, providing insights into bacterial diversity and regional epidemiology in Brazil and reinforcing the importance of molecular surveillance and improved diagnostic capacity for melioidosis. 2026-01-01T00:00:00Z