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PubMed2025

Comprehensive transcriptomic analysis of myostatin-knockout pigs: insights into muscle growth and lipid metabolism.

Pigs are a vital source of protein worldwide, contributing approximately 43% of global meat production. Recent genetic advancements in the myostatin (MSTN) gene have facilitated the development of double-muscling traits in livestock. In this study, we investigate the transcriptomic profiles of second-generation MSTN-knockout (MSTN-/-) pigs, generated through CRISPR/Cas9 gene editing and somatic cell nuclear transfer (SCNT). Using RNA sequencing, we compared the transcriptomic landscapes of muscle tissues from MSTN-/- pigs and wild-type (WT) counterparts. The sequencing yielded an average unique read mapping rate of 86.7% to the Sus scrofa reference genome. Our analysis revealed 15,142 differentially expressed genes (DEGs), including 121 novel genes, with 2554 genes upregulated and 1629 downregulated in the MSTN-/- group relative to the wild-type group. Notable transcriptomic changes were identified in genes associated with muscle development, lipid metabolism, and other physiological processes. These findings provide valuable insights into the molecular consequences of MSTN inactivation, with potential applications in the optimization of livestock breeding and advancements in biomedical research.

Animals↗

PubMed2026

A genetic manipulation tool based on the GP35 recombinase for targeted gene editing in mycoplasmas of ruminants.

Pathogenic ruminant mycoplasmas are major etiological agents in cattle and small ruminants and are responsible for substantial economic losses in the livestock industry. Progress in pathogenesis research and vaccine development has been hampered by a lack of effective genetic tools. The applicability of common genome editing platforms, such as CRISPR, is inherently restricted in these organisms owing to their minimal genomes, the absence of a cell wall, and low homologous recombination efficiency. Although transposon-mediated random mutagenesis and single-base editing are currently used in the editing of bovine mycoplasma, the stochastic nature of transposons, the risk of single-base random deamination, and limitations in editing window selection hinder the genetic manipulation of bovine mycoplasma. Here, we introduce a plasmid-based methodology that employs the GP35 recombinase from bacteriophage SPP1 to mediate long single-stranded DNA (ssDNA) recombineering, thereby enabling precise gene insertions and deletions in Mycoplasma bovis, with a positive-editing rate of 77.78% - 100%. This targeted system eliminates the risk of random deamination. Leveraging this tool, we generated a panel of M. bovis mutants affecting metabolic and virulence genes and obtained key insights into Mb0564, identified as a novel adhesin. The 192 to 287 aa region of GP35 is critical for interaction with SSB. Structural conservation analysis further suggested that this GP35-ssDNA editing system possesses a high potential for translation to other ruminant pathogens. Collectively, our approach expands the existing genetic toolkit for M. bovis, advances synthetic biology and M. bovis pathobiology, facilitates vaccine development, and strengthens the control of high-impact livestock diseases in line with the One Health framework.

Animals↗

PubMed2025

Detoxifying biotransformation of chloramphenicol by Exiguobacterium sp. CAP4 and its bioaugmentation of chloramphenicol biodegradation in simulated wastewater.

The extensive use of chloramphenicol (CAP) in livestock leads the accumulation of CAP in livestock manures, threatening environmental and human health. Therefore, eliminating or reducing CAP concentration in manures before its re-utilization and application through microbial remediation is necessary. Exiguobacterium sp. CAP4, isolated from the plastisphere in duck manures, was capable of degrading CAP with the biodegradation efficiency of 97.8 % at initial CAP concentration of 5 mg/L within 4 days. A total of twenty-four biotransformation products were determined, including two novel transformation products, TP166 and TP203, enriched the integrity of CAP biodegradation pathways. Furthermore, the biotransformation process was proposed as a detoxifying process through biotransformation products toxicity evaluation. Notably, Exiguobacterium sp. CAP4 successfully colonized in the cow manures after inoculation, and bioaugmented the biodegradation of CAP in virgin cow manures. This study significantly extended our understanding of the CAP biotransformation fate, and provided a promising bacterial strain for bioremediation of CAP containing wastewater in situ.

Chloramphenicol↗

PubMed2026

Spatiotemporal patterns of Rift Valley fever virus in Africa: a retrospective genomic epidemiology and phylodynamic modelling study.

BACKGROUND: Rift Valley fever virus (RVFV) is a mosquito-borne zoonotic pathogen causing outbreaks in humans and ruminants across Africa and the Arabian Peninsula. Originally restricted to the Great Rift Valley, RVFV has expanded geographically, prompting its classification by WHO as a pathogen of pandemic potential. We investigated the evolutionary and spatial dynamics of RVFV across Africa. METHODS: We used genomic data generated at the International Livestock Research Institute Nairobi genomic laboratory (BioProject PRJNA1106221) and combined with publicly available datasets retrieved from the National Center for Biotechnology (NCBI) GenBank nucleotide database. In retrieving RVFV genome sequences from the NCBI GenBank, we applied the search terms "Rift Valley fever virus segment L AND 6404[SLEN]", "Rift Valley fever virus segment M AND 3885[SLEN]", and "Rift Valley fever virus segment S AND 1520:1690[SLEN]" for L (Large), M (Medium), and S (Small) segments, respectively. For sequences without additional spatiotemporal information, we searched PubMed to extract the associated sequence metadata. We performed molecular clock analysis, phylogenetic inference, phylodynamic modelling (continuous phylogeographic reconstruction), and landscape phylogeography on the three RVFV genome segments (L, M, and S). We aimed to assess evolutionary rates, dispersal patterns, and environmental drivers. Focus was placed on lineage C, the most widely distributed variant. FINDINGS: The global dataset used in this study consisted of large (n=236), medium (n=237), and small (n=247), which were further filtered to exclude potential reassortants and vaccine strains. Genome sequences retrieved from NCBI GenBank database comprised large (n=180), medium (n=184), and small (n=202). The genome sequences from retrospective human and livestock isolates comprised large (n=56), medium (n=53), and small (n=45) collected in Burundi (2018), Kenya (2007, 2018, 2019, 2021, and 2022), and Rwanda (2018 and 2022). Our dataset revealed that RVFV exhibited low overall genetic diversity. Lineage C, however, showed evidence of active evolution, with substitution rates ranging from 3·58 × 10-4 to 9·76 × 10-4 substitutions per site per year. This lineage probably originated in Zimbabwe in the mid-1970s and has since expanded across eastern and southern Africa. Phylogeographic reconstructions revealed rapid spread, with diffusion coefficients exceeding 50 000 km2 per year. INTERPRETATION: Lineage C appears capable of establishing endemic transmission in new regions, with ongoing diversification observed during interepidemic periods. These observations reinforce the value of continuous genomic surveillance, particularly during cryptic transmission phases when adaptive mutations might emerge. Although further evidence is needed, observed trends in climate variability and land-use change point to the potential benefit of targeted surveillance in settings that could be at increased risk, including urban centres and wetlands. FUNDING: This work was supported by the German Federal Ministry for Economic Cooperation and Development, the Rockefeller Foundation, and the Africa Centres for Disease Control and Prevention.

Rift Valley fever virus↗

PubMed2026

Epidemiological and phylogenetic analysis of anthrax in Kazakhstan in 2024.

BACKGROUND: Anthrax remains an important zoonotic disease in Kazakhstan due to the persistence of environmental reservoirs and long-standing endemic foci. Despite ongoing surveillance, the epidemiological characteristics and genetic diversity of circulating Bacillus anthracis strains in the country remain incompletely understood. METHODS: A retrospective epidemiological and phylogenetic investigation of anthrax outbreaks reported in Kazakhstan during 2024 was conducted. Epidemiological data were collected for all laboratory-confirmed human cases and associated outbreak foci. Confirmation of infection was performed by PCR, and B. anthracis isolates were obtained from clinical, environmental and animal-associated samples. Whole-genome sequencing and core-genome single nucleotide polymorphism (cgSNP) analysis were used to characterize the genetic relationships among isolates and to determine their phylogenetic placement. RESULTS: Nine anthrax outbreaks were identified across four regions of Kazakhstan (Almaty, Zhambyl, Atyrau, and West Kazakhstan), resulting in 20 confirmed human cases. All patients were male, with the highest proportion occurring among individuals aged 36-55 years (45%). The mean patient age was 43.9 years (range: 16-64 years). Most infections were associated with slaughtering infected livestock (65%), followed by handling contaminated meat (15%). PCR confirmed infection in all 20 human cases. Culture yielded 17 human-derived B. anthracis isolates from 14 patients and 17 environmental/animal-derived isolates, resulting in 34 isolates in total. Of these, 22 representative isolates underwent whole-genome sequencing. Phylogenetic analysis revealed the circulation of two major lineages. Isolates from Atyrau and West Kazakhstan clustered within the Trans-Eurasian (TEA/STI) lineage. Atyrau isolates formed a tight cluster differing by only 21-32 cgSNPs, consistent with a shared epidemiolocal source, whereas the West Kazakhstan isolate was highly divergent. Zhambyl and Almaty region belonged to the A.Br.Ames lineage but diverged into two distinct sublineages. Zhambyl region isolates demonstrated minimal divergence from the global reference genome Ames Ancestor, differing by only 16-31 SNPs. Almaty region isolates formed an endemic subclone, separated from the reference group by approximately 114 SNPs. Comparison with the Ames Ancestor and Sterne reference strains demonstrated substantial genetic divergence. CONCLUSION: Anthrax outbreaks in Kazakhstan during 2024 were primarily associated with livestock exposure and occurred within established endemic regions. Whole-genome sequencing revealed the coexistence of distinct TEA and Ames lineages, including evidence of persistent local transmission and long-term evolutionary stability of endemic B. anthracis populations. These findings enhance understanding of anthrax epidemiology in Central Asia and support the integration of genomic surveillance into national outbreak investigation programs.

Anthrax↗

PubMed2026

First identification and molecular subtyping of Blastocystis spp. in donkeys in Aksaray province, Türkiye.

Blastocystis is a common intestinal protist worldwide that can infect humans and animals. Although its molecular epidemiology in Türkiye is mostly focused primarily on humans and livestock, equids have received limited attention despite their traditional roles and frequent contact with humans and other animals in rural environments. This study aimed to determine the molecular prevalence and subtype (ST) distribution of Blastocystis spp. in donkeys in Aksaray Province, providing the first molecular data on donkeys in Türkiye. A total of 182 fresh fecal samples were collected from donkeys in nine villages within Aksaray province. Genomic DNA was extracted, and the small subunit ribosomal RNA (SSU rRNA) gene fragment of Blastocystis spp. was amplified via PCR analysis. Positive isolates were sequenced bidirectionally for identification and subsequent phylogenetic analysis of Blastocystis in donkeys. The overall molecular prevalence of Blastocystis spp. in donkeys was 4.4% (8/182). The infection rate was higher in young donkeys (under 3 years old; 8.33%) than in adults (3 years or older; 2.46%). However, this difference was not statistically significant. Sequence analysis of the positive PCR products revealed the presence of one known livestock-specific subtype, ST10. Phylogenetic analysis showed that the ST10 isolates characterized in this study clustered with isolates identified from different hosts. This study provides the first molecular data on Blastocystis presence in donkeys in Türkiye. The exclusive detection of ST10 suggests potential cross-species transmission, likely facilitated by the traditional practice of co-housing donkeys with other animals in confined barns. These findings indicate that donkeys may contribute to Blastocystis transmission, underscoring the importance of a "One Health" approach in future epidemiological surveillance.

Animals↗

PubMed2026

Targeting the F17-A Fimbrial gene: An efficient method for the quantitative detection of Escherichia coli F17.

Escherichia coli (E. coli) F17 is one of the leading bacterial causes of diarrhea in farm livestock, which cause huge economic losses and could also pose potential risks to public health. Generally, the monitoring the E. coli F17 is based on the polymerase chain reaction (PCR) and bacteria plate counting method, which were largely limited by the time-consuming nature and susceptibility to detection errors. Hence, there is an urgent need to develop a rapid and quantitative detection method for E. coli F17. In the present study, an E. coli F17 challenge experiment in ovine intestinal epithelial cells (IECs) was employed as an in vitro model. At different post-challenge time points (1 h, 2 h, and 3 h), two conventional methods (bacteria plate counting and microplate method) were conducted as benchmarks to estimate the number of E. coli F17 adhering to the IECs. Additionally, total genomic DNA was extracted and quantitative Real-time PCR (qPCR) was performed to detect the relative abundance of E. coli F17 fimbrial pilin (F17-A) and adhesion (F17-G) genes. Subsequently, statistical analyses, including Pearson's correlation coefficient (PCC) method and linear curve-fitting, were performed to evaluate the correlation between the abundance of F17-A/G genes and the results of the benchmark methods. The results showed that the relative abundances of both genes were highly correlated with the number of E. coli F17 that adhered to the IECs, among them, the F17-A gene showed a stronger correlation with the bacterial counts, exhibiting a correlation coefficient > 0.85. Furthermore, standard curves analyses further confirmed the out-performed quantitative performance of F17-A gene and a significantly stronger correlation with bacterial counts which exhibited an outstanding linear correlation (r = -0.9534, R2 = 0.9252) with amplification efficiency of 101.4%, The results of the present study indicate that targeting fimbrial genetic hallmarks via qPCR is an effective and promising method for E. coli F17 quantification, which could potentially contribute to epidemiological studies and pathogen monitoring in the livestock industry.

Detection↗

PubMed2026

Soil management practices shape the abundance, diversity, and spread of antimicrobial resistance.

Agricultural soils are critical hotspots of antimicrobial resistance genes (ARGs). Yet, the environmental factors shaping these reservoirs and the hazards they pose to humans and livestock remain poorly understood. Because management practices introduce antibiotics, heavy metals, and nonantibiotic biocides, they can rapidly select for resistance. Most studies have examined components of management practices in isolation, overlooking the multiple stressors of modern industrial agriculture. Here, we used a large-scale field experiment to examine how multiple stressors from soil and crop management interact to shape antimicrobial resistance. We combined shotgun metagenomics, phylogenomics, and risk-score analyses to quantify the diversity of ARGs, mobile genetic elements (MGEs), and the transmission potential of drug-resistant pathogens. Relative to other management systems, intensive, chemically reliant monoculture systems, typical of the US Corn Belt, create strong selective pressures promoting more abundant and diverse ARGs and MGEs. These systems therefore carry greater potential to transmit ARGs, including those with relevance to both livestock and public health such as tetA and blaPAM, likely mediated by integration and excision. In contrast, less-intensive, lower-input systems with diverse crop rotations maintained resistomes with lower abundance, diversity, and transmission potential. Our results suggest that these patterns could arise due to the divergent effects of management practices on overall soil microbial diversity, an ecological barrier that can suppress ARGs. This study highlights the need to understand the combined stressors of agricultural practices, beyond antimicrobial use, to design effective strategies to mitigate antimicrobial resistance.

Soil Microbiology↗

PubMed2025

A vision of how low-coverage sequence data should contribute to genetic evaluation in the future.

Low-coverage sequencing refers to sequencing DNA of individuals to a low depth of coverage (e.g., 0.5X) and imputing that sequence to a genomic sequence based on reference haplotypes from individuals sequenced to a high depth of coverage (e.g., ≥10X). It has been proposed as an alternative to genotyping by Single-nucleotide polymorphisms (SNP) arrays. At least one commercial product based on it is available for agricultural species. Concerns limiting adoption in its current form are: 1) the cost of storing the huge volume of data it generates and 2) whether that additional data will result in improved accuracy of genetic evaluation. This work envisions future implementation of low-coverage sequencing to reduce storage costs and enhance genetic evaluations by leveraging the additional information in the full sequence of the pangenome to account for more genetic variation. We propose addressing the storage issue by representing genomic sequence of an individual in a pair of haplotype arrays with each element pointing to an enumerated haplotype of the sequence within one of approximately 50,000 defined genome segments. Assuming 60 million genomic variants, the infrastructure required to translate the identifier of any enumerated haplotype into its genomic sequence would require less than 10 gigabytes of binary storage. Each haplotype array element would require 2 bytes, so the marginal binary storage required to represent the genomic sequence of an individual would be about 200 kilobytes (KB), similar to the genotypes from a SNP array with 200,000 markers. This assumes no pedigree and no ambiguity of the imputation, though the latter is unrealistic. Strategies to minimize, and when necessary, to manage and efficiently represent ambiguity are proposed. The genomic sequence of an individual could be stored in about 1 KB (binary) if both parents have unambiguous sequences stored as described above. The proposed system for representing the pangenome includes algorithms for read mapping and imputation intended to leverage all known genetic variation in the target population. It is also designed to use sequencing reads generated for imputing the genomic sequence of new individuals to identify unrecognized mutations, crossovers, and structural variants, thus continuously improving the genome representation, especially if widespread use of low-coverage sequencing in livestock industries is realized. This could make improved genetic merit and management of livestock feasible without computational burden.

Animals↗

PubMed2026

Detection of lymphocytic choriomeningitis virus (LCMV) in the common house mice (Mus musculus) in Italy: an underrecognized threat to human health.

Lymphocytic choriomeningitis virus (LCMV) is a neglected zoonotic pathogen primarily transmitted by the house mouse (Mus musculus). Despite being an underestimated zoonotic threat in Europe, LCMV lacks comprehensive surveillance. In this study, we report the first molecular detection and full genomic characterization of LCMV in Italy. Between May and November 2021, 107 rodents were captured on livestock farms in the Piedmont Region and screened for arenaviruses using a pan-arenavirus RT-PCR assay. LCMV RNA was detected in three Mus musculus specimens (3.5%), all originating from two neighboring farms. Viral presence was confirmed by LCMV-specific qRT-PCR. Complete S and L genome segments were successfully obtained from one sample using a combination of RT-PCR and nanopore sequencing. Phylogenetic analyses placed the Italian strain within LCMV lineage I, clustering with strains previously detected in Europe. Host genetic analysis confirmed that infected mice belonged to the subspecies Mus musculus domesticus.IMPORTANCEThis study provides the first molecular evidence and complete genomic characterization of Lymphocytic choriomeningitis virus (LCMV) in Italy in its primary reservoir, Mus musculus. The identification of LCMV at the livestock-wildlife interface suggests a significant anthropozoonotic risk, particularly for farm workers. These findings emphasize the urgent necessity for integrated molecular surveillance and increased clinical awareness to better define the public health impact of LCMV in Italy.

Animals↗

PubMed2026

Cattle manure suppresses methane consumption and enhances denitrification-associated nitrous oxide production in farm dams.

BACKGROUND: Farm dams (or agricultural ponds) are often heavily polluted freshwater systems because of nutrient-rich manure entering the water through direct deposition and runoff. Accordingly, these systems have among the highest greenhouse gas emissions per area, accounting for 41% of global freshwater methane emissions. Sustainable management actions, such as limiting livestock access through fencing, can significantly reduce nutrient concentrations and greenhouse gas emissions. However, the microbes, processes, and factors controlling greenhouse gas cycling in these systems have not been described. Here, we systematically compared the composition, functions, and activities of the microbes in paired fenced and unfenced cattle farm dams in southeastern Australia. RESULTS: We found that in situ methane (CH4) and nitrous oxide (N2O) emissions were strongly reduced in fenced dams. Even though methanogen abundance was higher in fenced dams, fencing increased levels of aerobic methanotrophs, including two previously uncharacterised, metabolically flexible species profiled via metagenome-assembled genomes (MAGs). In contrast, we provide gene- and genome-centric evidence that N2O emissions are likely higher in unfenced dams due to increased production (via denitrification) rather than decreased consumption. Manure likely increases CH4 and N2O emissions primarily by driving nutrient-induced eutrophication and hypoxia that, respectively, stimulate denitrifiers and inhibit methanotrophs. However, we also provide evidence that manure-associated methanogens and bacteria occur in farm dams, where they potentially enhance emissions. CONCLUSIONS: Our findings highlight how anthropogenic activities such as livestock farming can impact microbial communities and biogeochemical cycling, thereby increasing greenhouse gas emissions from freshwater systems, and how simple management actions like fencing can mitigate such emissions. Video Abstract.

Animals↗

PubMed2025

The impact of Schistosoma haematobium hybridization on molecular diagnosis of schistosomiasis: A review with emphasis on female genital schistosomiasis.

Female genital schistosomiasis (FGS) is a gynecological manifestation of urinary schistosomiasis in female genitals. FGS is a neglected tropical disease; not only are most patients unaware of the condition, but healthcare workers and policymakers have inadequate knowledge about it. The treatment and control of FGS relies on current guidelines for controlling and eliminating schistosomiasis without rigorous focus on clinical evidence of the presence of FGS. Neglect of FGS has led to the misconception that the disease is sexually transmitted. Diagnosing FGS remains challenging as there is no widely accepted reference assay. Urine examination, which is the gold standard in urogenital schistosomiasis has some limitations in diagnosing FGS as the demonstration of Schistosoma haematobium and/or eggs alone does not necessarily indicate FGS. In order to overcome challenges with the biopsy and colposcopy approach, some studies have evaluated the potential of PCR-based assays and isothermal amplification of Schistosoma DNA. Recent studies have reported hybridization between S. haematobium and other livestock schistosomes, but little is known about the impact of hybridization on schistosomiasis diagnosis. These hybrids not only affect livestock and humans but also have their genomes modified, and in some cases, abnormal egg morphology due to Schistosoma hybridization might affect the actual prevalence estimation. Herein, we highlight the potential impacts of S. haematobium hybridization on molecular diagnosis of schistosomiasis, with an emphasis on FGS.

Humans↗

PubMed2026

Protamine gene expression is associated with sperm motility in rams: An integrative experimental and gene network analysis.

Protamine 1 (PRM1) and protamine 2 (PRM2) are essential regulators of sperm chromatin condensation and genome integrity, and their dysregulation has been associated with impaired male fertility. However, their role in rams remains insufficiently characterized. This study investigated the relationship between protamine gene expression and semen quality in rams and explored their potential upstream regulatory mechanisms using gene regulatory network (GRN) analysis. Fifteen ejaculates from five rams were analyzed. Based on total sperm motility using computer-assisted sperm analysis (CASA), ejaculates were classified into a high-motility group (n = 8) and a low-motility group (n = 7). PRM1 and PRM2 expression levels were quantified by RT-qPCR. Following normality confirmation (p > 0.05), parametric tests were applied using the ejaculate as the biological experimental unit. Samples with reduced motility showed significantly lower expression of both protamines (p < 0.01). Moreover, progressive sperm motility was strongly correlated with both PRM1 (r = 0.71, p = 0.019) and PRM2 (r = 0.69, p = 0.03) transcript levels. Cross-species GRN inference using scGeneRAI and a reference human spermatogenesis dataset identified several hypothesis-generating candidate transcription factors, including HMGB4, HMGB1, H2AFZ, NKX6-1, and SMC3, consistently supported across multiple bootstrap resampling runs. These findings demonstrate a strong association between protamine expression and sperm motility in rams. While the identified candidate regulators provide a valuable framework for future species-specific validation, they also highlight promising candidate molecular biomarkers of male fertility in livestock.

Gene regulatory networks↗

PubMed2026

High within-herd prevalence and assessment of production impacts of Coxiella burnetii in postpartum cattle from a Scottish dairy herd.

Coxiella burnetii is endemic in Great Britain dairy herds but detailed investigations of C. burnetii epidemiology and impacts on livestock production in this region are scarce. The objectives of this cross-sectional study were to first determine the within-herd prevalence of C. burnetii on a commercial Scottish dairy farm with prior detection of C. burnetii and second assess the relationship between pathogen load and individual health and performance traits. Vaginal swabs were collected from cows up to seven days postpartum. DNA extracts were tested for C. burnetii by IS1111 qPCR assay. Generalized linear models were used to estimate the relationships between bacterial load and health and performance traits. A total of 313 swabs were collected between 15 December 2022 and 06 July 2023, of which 301 (96.1%) had detectable C. burnetii DNA with Ct ≤ 40. The Ct values observed (12.9-38.7) corresponded to estimated genome equivalents per reaction of < 1 to ∼2.5 million genomes. Higher bacterial loads were seen in primiparous compared to multiparous cows. Higher bacterial loads were also more likely in cows that had experienced one or more negative reproductive outcomes, including abortion, premature delivery, prolonged gestation, stillbirth and dystocia. The direction of causation underlying the observed associations and representativeness of findings from this single herd require further investigation. This study provides insights into the within-herd dynamics of C. burnetii and evidence generated through sampling and diagnostic testing approaches that can inform future work to characterize the epidemiology and impacts of this infection in Great Britain dairy cattle and globally.

Cattle↗

PubMed2026

Spectral Transforms as a Tool to Optimize Digital Phenotyping in Biological Images.

Modern livestock breeding has mastered genotyping. Genome-wide association studies, genomic selection, and SNP arrays enable genetic merit prediction at lower cost. However, phenotyping remains the bottleneck, as manual measurement is slow, expensive, subjective, and unable to capture spatial or temporal trait organization. Digital phenotyping via artificial intelligence could resolve this, but deep learning requires thousands of labelled examples, impractical when phenotyping cost itself limits datasets to hundreds of individuals. This creates a paradox: AI could accelerate phenotyping but requires large numbers of samples to train the models. Here, we demonstrate that integrating computer vision with machine learning offers sample-efficient digital phenotyping using eggshell colour as a model system. Rather than learning features from scratch (deep learning), we engineer physically motivated features via Wavelet transforms that decompose images into multi-scale spatial components. Wavelet features captured 14.2 percentage points more variance (R2 = 0.976 vs. 0.834, p < 0.001) than standard colorimetry, with 50% better sample efficiency (achieving at n = 60 what colorimetry required n = 120). Variance decomposition revealed 77% of discriminative capacity derives from spatial patterns (bands, spots, gradients) invisible to scalar averages. Additionally, we identified "cryptic phenotypes" (3.3%) where spatial patterns contradicted average colour, cases where colorimeters failed but Wavelets succeeded. The underlying principle-that spatial decomposition can recover organizational information lost by scalar averaging-may be applicable to other traits with spatial or temporal structure, such as marbling, dermatitis, or pigmentation rhythms, although whether comparable performance gains would be observed remains to be tested empirically. Hence, for breeding programs implementing genomic selection, computer vision-based digital phenotyping captures complex trait variation without massive training datasets, addressing the bottleneck that increasingly limits genetic progress as genotyping becomes trivial.

Wavelet transform↗

PubMed2025

Comprehensive genomic analysis of antibiotic resistance plasmids in animal-associated Staphylococcus aureus in France.

UNLABELLED: In Staphylococcus aureus, an animal pathogen and zoonotic agent, plasmids play a pivotal role in the acquisition and spread of antibiotic resistance genes (ARGs). This study investigated the plasmid content of 329 S. aureus isolates from livestock and companion animals collected in France between 2010 and 2021. Plasmids (n = 211) were identified from 139 isolates. The major families identified-rep7a, rep20, and rep10-were associated with specific resistance genes (str, cat, blaZ, erm(C)) and exhibited widespread horizontal transfer across different S. aureus sequence types (STs) and animal hosts. In temporal analysis, the rep7a/str and rep7a/cat plasmids circulating in horses were progressively replaced by a rep7a plasmid carrying both str and cat genes. The study also highlighted the presence of mosaic plasmids, which combined elements from different bacterial species/genera, confirming the broad host range of S. aureus plasmids and their ability to acquire ARGs from diverse sources. Moreover, the occurrence of hybrid plasmids (carrying multiple rep genes) underscores the plasticity of these vectors of ARGs. This study emphasizes the need to investigate the mechanisms driving the spread and persistence of antibiotic-resistant plasmids in S. aureus, with a view to developing strategies aimed at combating antibiotic resistance. IMPORTANCE: The spread of antibiotic resistance in Staphylococcus aureus is a growing concern, particularly in animals that can serve as reservoirs for resistant strains. This study highlights the crucial role of plasmids in transmitting resistance genes among different animal hosts and S. aureus lineages. The characterization of 329 isolates collected over 10 years revealed how certain plasmid families are associated with specific resistance genes and how they evolve over time. The occurrence of mosaic and hybrid plasmids further underscores the ability of S. aureus to acquire resistance from diverse bacterial sources. These findings provide key insights into the mechanisms shaping antibiotic resistance in this pathogen and emphasize the fact that understanding plasmid-driven resistance is essential for developing effective interventions to limit the spread of multidrug-resistant S. aureus in both veterinary and human medicine.

Animals↗

PubMed2026

Blood-derived gene expression profiles associated with dietary microalgae oil intake and methane emission variation in lambs.

BACKGROUND: Minimising methane (CH4) emissions from livestock production is a global priority, and feed modifications, such as supplementing diets with microalgae, have previously been shown to help reducing enteric CH4 production. This study explored blood-derived host gene expression profiles from twenty lambs supplemented with increasing levels of microalgae oil to investigate their transcriptional responses associated with varying microalgae oil levels while also exploring the host systemic responses towards varied CH4 productions. RESULTS: Findings revealed no significant changes in CH4 production with increasing levels of microalgae oil intake through phenotypic analysis (P = 0.18). However inter-individual variations in CH4 production ranged from 27.02 to 47.86 g/day throughout the study period. Blood RNA-Sequencing identified 64 significant genes including DHCR7, DHCR24, HMGCS1, INSIG1, LSS, MSMO1, and SQLE, which were involved in lipid metabolism, and steroid biosynthesis that became enriched alongside increasing microalgae oil intake levels thereby contributing to a positive impact on lambs' metabolic functions. Additionally, seven significant blood-expressed host genes (NME4, MARCHF3, PLXNB3, LOC132657460, LOC121819234, LOC105603087, LOC101116551) functionally enriched in nucleotide metabolic pathways and immune responses were identified to have significant positive associations with increasing CH4 production. Importantly, this study found no overlap between genes associated with microalgae oil intake and those linked to CH4 emissions. CONCLUSIONS: Findings suggest that microalgae oil intake and inter-individual variations in CH₄ production are associated with distinct blood-derived transcriptional responses. Although such signals should be interpreted as proxies for systemic host responses rather than direct measures of rumen-specific processes, these results emphasise the importance of considering host-associated molecular variations alongside dietary CH₄-mitigation strategies.

Animals↗

PubMed2026

A review on fungal pathogens in the One Health framework: connecting plant, animal, and human health.

The growing burden of fungal diseases on human, animal, plant, and environmental health is a serious global problem that requires a "One Health" approach beyond disciplinary silos. Fungal diseases are often neglected, yet their prevalence and importance are increasing at an alarming rate. Complex interactions among different host organisms, coupled with human activities, anthropogenic environmental impacts, climate change, globalization, and antifungal drug use, particularly in agriculture, are significant contributing factors. The emergence and spread of resistance to existing antifungal agents is one of the most important consequences, leading to poor treatment outcomes in both clinical and agricultural settings. Azole fungicides used in crops have been associated with the selection of resistant strains in some fungi common in the environment and associated with human disease, such as Aspergillus flavus and Fusarium spp., which have a unique enzyme paralogue cyp51C, and efflux pumps that flush out the azoles, thereby leading directly to treatment failure. The article explains how fungal pathogens can affect each of the three pillars of One Health. In plant health, fungal infections affect food security and economic outcomes, while the use of fungicides for treatment can lead to cross-resistance with clinical medications. In animal health, fungal diseases affect livestock well-being and productivity, and animals act as reservoirs for the zoonotic transmission of resistant strains to humans. In human health, the impact on immunocompromised populations is high, as invasive fungal infections result in significant morbidity and mortality. Limited availability of antifungal drugs, diagnostic challenges, and limited surveillance. To combat these multifaceted, interconnected challenges, a collaborative, multisectoral approach is imperative. Looking ahead, future initiatives should emphasize genomic and eco-epidemiological research to elucidate the drivers of emergence, anticipate outbreaks, and identify emerging threats. In conclusion, addressing the global burden of fungal diseases necessitates a holistic One Health approach that aligns surveillance, research, policy, and public health interventions to preserve the efficacy of existing treatments and protect the health of all interconnected domains.

Humans↗