Poultry Science

Insect proteins represent a promising and more sustainable alternative to soybean meal in swine nutrition. However, high dietary inclusion levels often result in reduced animal performance, indicating that factors other than crude protein concentration should be considered. This study evaluated the protein quality and degradability of feed-grade defatted black soldier fly (BSF) meal in comparison with a conventional organic protein core for post-weaning piglets. Protein content, amino acid composition, reactive lysine, Maillard reaction markers, buffering capacity, and protein hydrolysability were determined. Our results showed that defatted BSF meal exhibited a protein content and amino acid profile comparable to those of the protein core but contained substantially higher levels of free amino acids. Accounting for free amino acids reduced the estimated lysine damage from 18.4% to 10.4%, highlighting the importance of considering free amino acids when determining reactive lysine. In addition, BSF meal exhibited a higher buffering capacity and lower protein degradability than the protein core. These findings provide new insights into the nutritional limitations of feed-grade BSF meal and suggest that a more accurate assessment of reactive lysine, together with dietary strategies to reduce buffering capacity, may improve its utilization in post-weaning piglet diets.

Cross-beaks are deemed a threat to poultry health, productivity, and animal welfare. Nevertheless, due to sporadic cases, heterogeneity of gene loci and incomplete dominance, the molecular mechanism of cross-beak formation, especially the degree of cross, is not yet clear. Thus, we screen key genes and reveal the possible phenotypic formation mechanism of cross-beak by comparison with different degrees of deformity in Huiyang Bearded chickens by compare whole-genome resequencing-based variant analysis. Comparative analysis between cross-beak and normal-beaked chickens identified differential variants in several candidate genes, including CDH11, CTNNAL1, NRXN3, NRXN1, CDH5, SDC3, and DHFR. Genes harboring these variants were enriched in pathways related to cell adhesion molecules and metabolic processes, with functional annotations involving cell-cell adhesion and neural crest cell migration. Comparative analysis between chickens with severe and slight cross-beak deformities identified additional candidate genes, including MRPL21, NSUN2, DDX55, GNB3, and NFKB2. These genes were associated with enriched terms and pathways related to focal adhesion, amyotrophic lateral sclerosis, steroid 7 -hydroxylase activity, and skin-barrier establishment. These findings provide a preliminary catalogue of genetic variants and candidate genes for future functional studies of cross-beak development and severity in chickens.

BackgroundEscherichia coli contamination of chicken eggs is an important food-safety concern, while antimicrobial-resistant E. coli may contribute to the dissemination of antimicrobial resistance through the food chain. However, information on egg-associated E. coli and its antimicrobial susceptibility in Natore District, Bangladesh, is limited. ObjectivesThis study aimed to determine the prevalence of E. coli in chicken eggs collected from commercial farms, markets and indigenous/backyard flocks in Natore District, identify the isolates based on cultural, morphological and biochemical characteristics, and assess their antimicrobial susceptibility. Materials and MethodsA total of 84 egg-shell swab samples, comprising 28 samples each from commercial farms, markets and indigenous chicken flocks, were collected from seven upazillas of Natore District between January and June 2023. Samples were cultured on selective and differential media, and presumptive isolates were confirmed by Gram staining, motility and biochemical tests. Antimicrobial susceptibility was determined using the Kirby-Bauer disc-diffusion method against seven antimicrobial agents. ResultsE. coli was detected in 56/84 (66.67%) egg samples. Prevalence was highest in indigenous eggs (22/28, 78.57%), followed by farm eggs (18/28, 64.28%) and market eggs (16/28, 57.14%). Among 22 confirmed isolates tested for antimicrobial susceptibility, resistance was highest to neomycin (90.91%) and erythromycin (86.36%), followed by oxytetracycline (77.27%), amoxicillin (68.18%), ciprofloxacin (63.63%), levofloxacin (59.09%) and doxycycline (36.36%). No isolate was sensitive to neomycin or erythromycin. ConclusionThe high prevalence of E. coli and substantial antimicrobial resistance among egg-associated isolates indicate an important food-safety and public-health concern. Improved hygienic egg handling, prudent antimicrobial use and continued antimicrobial-resistance surveillance are warranted throughout the poultry production and marketing chain.

Global aquaculture has grown significantly, but to maintain current consumption, supply must double over the next 20 years. Here, we characterised the digestive and absorptive capacities in the intestines of three commercially important, farmed fish species with varying natural diets: Nile tilapia (Oreochromis niloticus), common carp (Cyprinus carpio ), and rainbow trout (Oncorhynchus mykiss). Disaccharidase activity (maltase, sucrase) and sodium-dependent D-glucose absorption were highest in Nile tilapia, followed by common carp, and lowest in rainbow trout. We found regional intestinal differences in disaccharidase activity and SGLT1 expression in the three species. Aminopeptidase A (APA) and aminopeptidase N (APN) activities were typically highest in Nile tilapia. Intestinal expression of the neutral amino acid transporter B0AT1 was approx. double in tilapia and carp compared to trout. We also assessed common carp, zebrafish and Rainbow trout's digestion profile when fed low-carbohydrate/high protein and high-carbohydrate/low-protein diets. Common carp and zebrafish adapted to high-carbohydrate diets by up-regulating both digestive enzymes and SGLT1. Common carp increased SGLT1 protein abundance 2.7-fold in the foregut and 4.6-fold in the hindgut. Rainbow trout increased disaccharidase activity but not SGLT1 expression in response to a high-carbohydrate diet. Both Rainbow trout and common carp down-regulated their APN activity but upregulated their B0AT1 expression 2-fold in response to increased dietary protein. These physiological limitations are critical considerations for formulating sustainable plant-based aquafeeds.

The maned wolf (Chrysocyon brachyurus) is a near-threatened canid species that suffers from gastrointestinal (GI) disease under human care. While the cause remains poorly understood, recent studies report that altered gut microbiota is linked to GI disease in the domestic dog. The goal of this study was to describe the relationship between gut bacteria and environmental factors, GI health, short chain fatty acid (SCFA) peaks, and genetic relatedness in maned wolves. Fresh fecal samples were collected twice from wolves (first collection n = 29; second collection n = 25) housed in six facilities in the United States. Fecal alpha-1 proteinase inhibitor (FA1PI), a biomarker for GI health in canids, and SCFA peaks were quantified. Information on diet, housing group and history of GI disease or inflammation was provided by the zoological facility for each wolf. We characterized gut microbiota using 16S rRNA gene amplicon sequencing with qPCR abundance corrections. We found that dietary fiber gross energy (GE), protein GE, and number of daily produce items influenced gut microbiota. Additionally, there was a negative relationship between dietary fiber GE and Fusobacterium sp. abundance, corroborating previous findings linking fiber to altered gut microbiome composition in canids. Lastly, fiber GE was negatively correlated with FA1PI, connecting fiber to GI health in the maned wolf. Findings from this study suggest that increasing dietary fiber GE changes the gut microbiome and may improve GI health in the maned wolf, highlighting important management decisions that can be considered to maintain a healthy zoo-managed maned wolf population. IMPORTANCEFindings from this study are important because gastrointestinal disease is a common health concern for maned wolves under human care, and the causes are not well understood. The current study found that diet, especially the amount of fiber gross energy, can affect gut bacteria and may support better gastrointestinal health. Diet alterations could be a practical tool for zoos to support management of gastrointestinal health issues in maned wolves. These findings also show the importance of carefully managing diets for a near-threatened species, since better gastrointestinal health may improve overall health and well-being and support reproduction. More research is needed to determine the best amount and type of fiber, but our results provide foundational information for improving care and supporting healthy zoo-managed maned wolf populations.

BackgroundEscherichia coli is a common environmental and zoonotic bacterium that serves as an important indicator of fecal contamination and antimicrobial resistance (AMR) in poultry production systems. The emergence of multidrug-resistant (MDR) E. coli in poultry farm environments poses a significant One Health threat to animal, human, and environmental health. ObjectiveThis study aimed to isolate, identify, determine the prevalence, assess the antibiotic susceptibility pattern, and molecularly confirm Escherichia coli isolated from poultry farm environments in Lalmonirhat district, Bangladesh. Materials and MethodsA cross-sectional study was conducted from January to June 2024 using 60 environmental samples comprising water (n = 20), soil (n = 20), and bird-dropping (n = 20) samples collected from poultry farms in five upazilas of Lalmonirhat district. Isolation and identification of E. coli were performed using standard cultural, morphological, and biochemical techniques. Antimicrobial susceptibility was determined by the Kirby-Bauer disc diffusion method following CLSI guidelines. Ten randomly selected isolates were confirmed by polymerase chain reaction (PCR) targeting the species-specific uidA gene. ResultsThe overall prevalence of E. coli was 50% (30/60). Source-wise prevalence was highest in bird-dropping samples (75%), followed by water (45%) and soil (30%). Area-wise prevalence ranged from 33.33% in Patgram to 66.67% in Hatibandha. The isolates exhibited the highest resistance to oxytetracycline (66.67%) and ciprofloxacin (60%), while the highest susceptibility was observed to erythromycin (63.33%), neomycin (56.67%), and amoxicillin (56.67%). All ten isolates subjected to PCR produced the expected 486 bp uidA gene amplicon, confirming their identity as E. coli. ConclusionThe findings demonstrate a considerable prevalence of antimicrobial-resistant E. coli in poultry farm environments of Lalmonirhat district. Strengthening farm biosecurity, improving hygiene and waste management, implementing antimicrobial stewardship, and maintaining continuous molecular surveillance are essential to minimize the dissemination of resistant E. coli within a One Health framework.

BackgroundLive bird markets (LBMs) may facilitate the persistence and dissemination of Escherichia coli and antimicrobial-resistant bacteria because of intensive bird handling, environmental contamination and inadequate sanitation. However, information on E. coli contamination and antimicrobial susceptibility in LBM environments in Rajshahi District, Bangladesh, remains limited. ObjectiveThis study aimed to determine the prevalence, identify the cultural and biochemical characteristics, and assess the antimicrobial susceptibility pattern of E. coli isolated from water, soil and bird-dropping samples collected from LBMs in Rajshahi District. MethodsA total of 60 environmental samples, comprising 20 water, 20 soil and 20 bird-dropping samples, were collected from LBMs across all ten upazillas of Rajshahi District between January and June 2023. E. coli was isolated and identified using cultural characteristics, Gram staining and biochemical tests. Antimicrobial susceptibility was determined by the Kirby- Bauer disc diffusion method against seven antimicrobial agents using CLSI interpretive criteria. ResultsE. coli was detected in 33 of 60 samples, giving an overall prevalence of 55.00%. Prevalence was highest in bird-dropping samples (75.00%), followed by water (55.00%) and soil (35.00%). Among the 33 isolates, resistance was highest to oxytetracycline (78.79%) and amoxicillin (63.64%), followed by ciprofloxacin (48.48%), doxycycline (33.33%), levofloxacin (9.09%), erythromycin (9.09%) and neomycin (6.06%). Sensitivity was highest to neomycin (60.61%), followed by levofloxacin and erythromycin (51.51% each). ConclusionThe high prevalence of E. coli and substantial resistance to several commonly used antimicrobials indicate considerable microbiological and antimicrobial-resistance concerns in LBM environments. Improved sanitation, biosecurity, hygienic poultry handling and prudent antimicrobial use are warranted to reduce environmental contamination and potential transmission of resistant bacteria.

The study of animal personality has gained increasing attention in recent years, as researchers recognize that non-human animals exhibit stable individual differences in behaviour. In dairy cattle, understanding personality traits holds potential for improving animal welfare, enhancing management practices, and supporting productivity outcomes. However, validating the behavioural tests used to assess these traits remains a significant challenge. The present study aimed to evaluate the consistency and validity of five commonly used behavioural tests in dairy cows: the Human Approach Test (HAT), Sudden Test (SUD), Novel Object Test (NOT), Open Field Test (OFT), and Novel Surface Test (NST). These tests were chosen for their potential to assess personality dimensions that parallel components of human personality, particularly Openness, Neuroticism, Extraversion, and Agreeableness. Repeated assessments were conducted across three time periods to evaluate both intra-test (temporal) and inter-test (contextual) consistency. Results revealed that only the SUD exhibited significant behavioural consistency across all periods, suggesting its potential as a reliable tool for personality assessment. Additionally, a moderate correlation between the HAT and SUD was observed, indicating that these tests may capture overlapping personality traits. In contrast, the remaining tests (NOT, OFT, NST) lacked consistent behavioural patterns over time and across contexts, raising questions about their reliability and the complexity of trait expression. These findings highlight the challenges of identifying stable personality traits in cattle and emphasize the need for more rigorous validation of behavioural tests. This research contributes to the growing field of animal personality by providing insights into trait stability, the limitations of current testing methods, and the potential application of personality assessment in future livestock management practices.

Little is currently known about the regulation of PL fimbriae produced by some pathogenic E. coli strains. We identified PlfB, a transcriptional regulator of the PapB family, as a negative regulator of PL fimbriae (Plf). Deletion of plfB significantly increased plfA transcription and Plf production. PlfB bound specifically to the plfA promoter region. Using a PplfA-lux reporter system, the deletion of plfB caused sustained and increased expression across serial passages. Global regulatory genes such as lrp, argR, and hns were also implicated in regulation of plf expression. Loss of lrp or argR decreased plf expression, suggesting these regulators positively regulate PL fimbriae. By contrast, loss of hns increased levels of plf expression, supporting its role as a negative regulator. Interestingly, loss of plfB significantly increased bacterial colonization in the lung of 6-day-old turkey poults. Further, complementation of plfB restored plf fimbrial expression and colonization of turkey lungs to wild-type levels. This further supports an important role for PL fimbriae for colonization of turkey lungs, since loss of plfB which resulted in increased plf gene expression in turkey lungs also correlated with higher bacterial numbers in the lungs. Taken together, these results indicate that PlfB acts as a negative regulator to reduce levels of PL fimbrial expression, under some conditions, but that it is not required for plf expression. This contrasts with the role the PapB regulator, which has been shown to play an essential role in expression of P fimbriae in uropathogenic E. coli strains.

In endotherms, body temperature is regulated by balancing the rates of metabolic heat production and dissipation. Birds and mammals maintain high and relatively constant body temperatures, but there is growing evidence that body temperature and heterothermy vary considerably between individuals of a population. Based on the interdependence of metabolic rate and body temperature, variation in body temperature could be expected to be related to metabolic performance. In this study, we aimed to determine if body temperature is a variable and repeatable trait in captive zebra finches (Taeniopygia guttata) and if body temperature could be related to different metrics of performance. We measured body temperature for 14 days in in caged male zebra finches to assess within- and among-individual variation and repeatability, as well as during measurements of three metabolic traits; basal (BMR), summit cold-induced (Msum) and maximum exercise-induced (MMR) metabolic rate. Median Tb (R = 0.48), and peak Tb (R = 0.53) body temperature were repeatable and positively correlated, suggesting that the birds show consistent differences in body temperature. We found that birds with higher daytime body temperatures showed higher thermoregulatory performance in a cold challenge and had higher body temperature during forced exercise. However, daytime body temperature was not related to MMR or BMR. Our study is one of few that have measured the repeatability of body temperature in birds. Our results show that individuals may have distinct body temperature phenotypes which could be related to metabolic and thermoregulatory performance. However, additional research is needed to disentangle the interrelated effects of metabolic capacity, body temperature, and heat dissipation on performance and how this might change with thermal conditions and activity levels.

This study aims to evaluate the effectiveness of curcumin and penicillin-streptomycin as diluents on changes in the structure and diversity of the chicken semen microbiome during storage. Semen was collected from Kampung chickens (native to Indonesia) and divided into five treatment groups: diluted without antibiotics or curcumin (control), and diluted with additions of 10 micromolar, 20 micromolar, and 30 micromolar curcumin, and penicillin-streptomycin, respectively. The semen was stored at 5 C for 24 hours. The composition and diversity of the semen microbiome were analyzed using 16S full-length amplicon sequencing. Analysis of the top 10 species showed that Uncultured Saccharofermentans sp. and Porphyromonas somerae served as the most dominant and stable core microbiome across all treatments. Alpha diversity analysis showed that the addition of curcumin and penicillin-streptomycin reduced microbial richness (Observed, ChaO1, ACE, and Fisher) in a dose-dependent manner, yet maintained overall diversity (Shannon and Simpson), with the penicillin-streptomycin treatment resulting in the highest species evenness (InvSimpson). Beta diversity analysis revealed extreme separation of taxonomic abundance variance in the penicillin-streptomycin group, whereas the curcumin treatment exhibited a dose-dependent pattern of microbial abundance transition. Venn diagram analysis identified 415 OTUs as the core microbiome and confirmed that curcumin acts through selective filtering that stabilizes the ecosystem without triggering the proliferation of opportunistic taxa. Penicillin-streptomycin acts more rapidly and dominantly in suppressing/killing bacterial populations, however, the addition of curcumin is able to modulate the microbial ecosystem in a more balanced manner by suppressing the growth of harmful bacteria without compromising the integrity of the chicken semen environment.

We live in an era where advances in microbial detection, DNA sequencing technology, and the availability of big data have allowed inroads to the field of predictive microbiology. The tools presently in use, as well as those on the horizon, provide an opportunity to examine emerging infectious diseases in ways previously not possible. We analysed publicly available data to investigate where and why Salmonella is detected on raw beef products. In addition to analysing beef-related serovars across space and time, we utilised a machine-learning approach (Species Distribution Modelling) to identify areas and predictors of environmental suitability for the most frequent Salmonella serovars found in beef. Our results demonstrate that some serovars, such as Dublin, Montevideo, and Muenchen, exhibit strong regional prevalence while others, notably Anatum, are found broadly throughout the country. The Species Distribution Models show concurrence with these regional trends. Predictors that contributed 10% or more to multiple serovar models included ecoregions (7/15 serovars), avian flyways (8/15), the number of local cattle operations (3/15), and other environmental variables. Our work demonstrates that certain Salmonella serovars commonly associated with beef show regional trends that can be predicted.

Tick-borne pathogen (TBP) surveillance strategies that rely exclusively on targeted methods like PCR (PCR) or immunoblots do not benefit from strain-level sequence variation. Bacterial 16S rRNA metabarcoding offers more agnostic detection but is constrained in I. scapularis by the dominance of a maternally inherited endosymbiont, Rickettsia buchneri. Here we report the design and evaluation of three R. buchneri-specific blocking primers to suppress endosymbiont amplification during full-length 16S rRNA library preparation. Of these, primer 18F-Rb-C3 reduced R. buchneri relative abundance approximately 32-fold. We applied 18F-Rb-C3 with V4-16S metabarcode sequencing on 67 ticks collected from farm animals in Eastern Ontario and compared Borrelia species detection against qPCR. The V4-16S rRNA metabarcoding identified Borrelia species in 21 samples, whereas qPCR detected Borrelia in 24 samples and 11 samples were detected by both methods. Additionally, metabarcoding detected Anaplasma phagocytophilum in 12 samples, including seven samples coinfected with Borrelia, in the same assay. Variation relevant to strain surveillance was also detected by sequencing, though V4-16S was not sufficient to resolve closely related Borrelia genospecies or A. phagocytophilum variants. These findings demonstrate that blocking primer 18F-Rb-C3 enhances sensitivity of amplicon sequencing to the level of qPCR while also detecting other pathogens and sequence variants in a single assay.

Reliable morphological criteria for sexing birds without the need for invasive procedures are scientifically and ethically valuable. Smith et al (2005) reported that iris colour assigns the genetic sex of Starlings Sturnus vulgaris with 98% accuracy, and bill base colour with 100% accuracy when birds are in breeding condition, but these figures have not been tested independently. We applied their criteria to 31 captive Starlings in breeding condition, using three observers blind to genetic sex, two of them new to Starling sexing. Bill base colour correctly predicted genetic sex for all 29 birds scored, with complete observer agreement. Mean iris score was correct for 27 of 31 (87.1%), fewer than the 94 of 96 reported by Smith et al (2005) for birds in breeding condition (Fisher exact test, P = 0.031), although with so few errors in either study this comparison is imprecise. Observer agreement was high, so these errors reflect iris colouration conflicting with genetic sex rather than inconsistent scoring; bill base colour was correct for all four misassigned birds. Body mass and tarsus length classified 77% and 58% of birds correctly, their published thresholds missing in opposite directions. We conclude that bill base colour should be the primary criterion for sexing Starlings in breeding condition; the accuracy of iris colour should not be assumed to be 98%.

ABSTRACT Objective: Skeletal muscle growth rate differs substantially among diverse pig breeds. In the present study, RNA-seq was performed to identify differentially expressed genes (DEGs) across pig breeds with distinct growth rates. CCND2 showed obvious differential expression among pig breeds. Although CCND2 is essential for cell cycle control, its biological function in skeletal muscle differentiation has rarely been reported. This work aims to identify DEGs in pig breeds with different growth rates and explore CCND2 role in porcine skeletal muscle development. Methods: RNA-seq was performed to identify differentially expressed genes (DEGs) across pig breeds with distinct growth rates. Weighted gene co-expression network analysis (WGCNA) was used to identify gene modules potentially associated with skeletal muscle growth and development. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis was performed to validate the role of CCND2 in skeletal muscle differentiation. Results We identified 5,416, 4,846, and 2,777 DEGs in the Duroc pig (DU) vs. Jiangquan black pig (JQ), DU vs. Laiwu pigs (LW), and JQ vs. LW comparison groups, respectively. WGCNA identified two gene modules (lightgreen and darkmagenta) potentially associated with skeletal muscle growth and development. CCND2 exhibited differential expression in comparisons between DU vs JQ and DU vs LW, with higher expression observed in Duroc pigs. qRT-PCR analysis revealed that overexpression of CCND2 at day 6 (D6) of cell differentiation significantly increased the expression levels of CCND2 gene and markers of myogenic differentiation (p < 0.05). Conversely, knockdown of CCND2 significantly decreased the expression levels of CCND2 gene and myogenic differentiation markers (p < 0.05). Conclusions This study identified breed-specific DEGs and key gene modules in porcine skeletal muscle and verified that CCND2 promotes myogenic differentiation. These findings provide a genetic theoretical basis for further investigations into skeletal muscle growth and development. Keywords pig, skeletal muscle, transcriptome, WGCNA, CCND2

ObjectiveTo investigate the combined effects of multiple drugs and provide more therapeutic options for invasive fungal infections, this study evaluated the in vitro susceptibility of Aspergillus spp., Candida auris, Cryptococcus neoformans, and Exophiala dermatitidis to pibrentasvir (PIB) in combination with itraconazole (ITR), voriconazole (VOR), posaconazole (POS), or fluconazole (FLU). MethodsAccording to the M27-A3 and M38-A2 guidelines established by the Clinical and Laboratory Standards Institute (CLSI), the in vitro antifungal activities of PIB combined with ITR, VOR, POS, or FLU against 78 clinical isolates, including Aspergillus spp., E. dermatitidis, C. auris, and C. neoformans, were determined. The minimum inhibitory concentrations (MICs) and fractional inhibitory concentration indices (FICIs) were calculated to evaluate the synergistic effects. ResultsPIB alone exhibited no antifungal activity. Significant synergistic effects were observed when PIB was combined with azole antifungal agents. The PIB-POS combination showed synergistic effects against Aspergillus spp. (27/41, 65.90%), C. auris (9/10, 90.00%), C. neoformans (2/9, 22.20%), and E. dermatitidis (11/18, 61.11%). The PIB-ITR combination also showed synergistic effects against Aspergillus spp. (18/41, 43.9%), C. auris (9/10, 90.0%), C. neoformans (2/9, 22.2%), and E. dermatitidis (10/18, 55.5%). Synergistic effects were less frequently observed with the PIB-VOR or PIB-FLU combinations, and no antagonistic effects were observed. ConclusionThis study demonstrates that PIB acts as an azole sensitizer, with the strongest synergistic effects observed when combined with POS or ITR, providing a new research direction for combination therapy against invasive fungal infections.

Avian Influenza viruses (AIVs) infect a broad host range despite having a natural reservoir in wild aquatic birds. Whilst most strains stay within their host species, some break the species barrier through genetic adaptations. We are most concerned about zoonotic cases, where a human becomes infected. Despite these events being rare, they are associated with high mortality and introduce the risk of onward human-to-human transmission of AIV. As a novel pathogen within the human population, this could have pandemic potential. Using genetic composition features for 8 AIV proteins drawn from viral sequence data, we employ machine-learning algorithms to classify AIV cases as zoonotic or not. These genetic features encode host 'signatures' which can indicate zoonosis and include frequency measures such as dipeptide composition and amino acid physiochemical properties. We consistently find XGBoost to outperform all other algorithms. We optimise parameters for ten classification models: one for each of the 8 proteins and two combined models. Following this, we show that a multi-model approach gives the best performing prediction for AIV zoonosis. We have identified all 8 proteins as having a role in predicting zoonotic transmission. Of particular importance is the PB2 and HA proteins, with specific amino acid physiochemical properties such as charge, secondary structure and hydrophobicity amongst the most indicative features in our combined models. Our alignment-free computational study can identify AIV cases still within avian hosts which are genetically closest to zoonotic AIV cases, thereby identifying the cases most likely to cross the species barrier. In a resource limited environment, our model could be used to quickly identify high priority cases for further investigation.

Crickets are gaining attention as sustainable protein sources because of their high nutritional value and low environmental impact. Growth models are essential tools for optimising production by predicting growth characteristics. However, previous studies have not compared multiple non-linear growth models for crickets or explicitly considered environmental factors. We analysed the growth patterns of the two-spotted cricket (Gryllus bimaculatus) and the Asian cricket (Teleogryllus occipitalis) at multiple temperatures (25.0, 27.5, 30.0, 32.5 and 35.0 {degrees}C) using three non-linear models (Gompertz model, logistic model, and von Bertalanffy model) and combined the predicted body mass with observed survival rates to predict the optimal harvest time and temperature. All three models fitted the data well (R2 [&ge;] 0.97 in both species). The asymptotic body mass was highest at 30.0 {degrees}C, and the growth rate constant increased with temperature, reaching its maximum at 35.0 {degrees}C except for the logistic model in G. bimaculatus (32.5 {degrees}C). In addition, the predicted value of harvest, calculated by combining predicted body mass and observed survival probability, was highest at 30.0 {degrees}C in both species, reaching 13.82 kg/m3 at 38 days in G. bimaculatus and 7.12 kg/m3 at 62 days in T. occipitalis. These results suggest that 30.0 {degrees}C is the most suitable constant-temperature condition for maximising predicted productivity, although the optimal harvest timing differs between species.

This study was carried out on two rabbit lines, each selected for a feed efficiency criterion (growth on restricted feed for the AlimR line or residual consumption on an adlibitum diet for the ConsR line), introduced into a facility by adoption of newborn kits by SPF (specific pathogen free) females. Following this break in symbiotic transmission, fecal samples from females were used to study the microbiota composition of the two lines over seven generations (17 females per line and per generation). The proportion of Firmicutes was significantly higher in the AlimR line than in the ConsR line (82.22% vs 78.21%, p<0.0001). Conversely, the proportion of Bacteroidota was significantly higher in the ConsR line than in the AlimR line (20.38% vs 16.50%, p<0.0001). The effect of generation was also significant for the abundance of Firmicutes and Bacteroidota (p=0.0009 and p<0.0001, respectively). The Shannon diversity index was significantly higher in the AlimR line than in the ConsR line (5.23 vs 5.14, p=0.02). The effect of generation was also significant for the Shannon index (p=0.003). Finally, a discriminant principal component analysis of the microbiota composition allowed us to distinguish both the two lines and the generations, in particular the 11th selected generation (animals adopted by SPF females) and the 18th generation.

Shiga toxin-producing Escherichia coli (STEC) persist in cattle and can colonize the bovine recto-anal junction, making it an important reservoir for transmission. Curli are extracellular amyloid fibers associated with biofilm formation and environmental persistence, but their contribution to STEC adherence to bovine epithelial cells is unclear. This study examined the relationship between curli production, biofilm formation, and adherence of O157, O26, and O111 STEC isolates to bovine recto-anal junction (RAJ) squamous epithelial (RSE) cells. Thirty isolates were evaluated for RSE adherence, curli-associated phenotypes, and biofilm formation under environmental and host-associated growth conditions. O157 and O111 isolates predominantly exhibited strong aggregative adherence to RSE cells, whereas O26 isolates showed more heterogeneous, primarily diffuse adherence. O111 isolates produced the strongest biofilms under environmental conditions and displayed relatively stable curli phenotypes, while O157 and O26 isolates showed greater variation. However, environmental biofilm formation did not consistently correlate with RSE adherence. Biofilm formation was also markedly reduced under host-simulated conditions in DMEM-LG at 26, 37, and 39{degrees}C, including among isolates that produced strong environmental biofilms. Differences in Shiga toxin genotype and expression likewise did not account for the major adherence patterns, as O111 isolates lacking stx2 retained strong aggregative adherence. These findings indicate that curli-associated biofilm formation is primarily influenced by environmental conditions and does not directly predict STEC adherence to bovine RSE cells. The results suggest that environmental persistence and host-cell attachment represent distinct phenotypes and that STEC adherence to bovine epithelial cells is likely mediated by additional strain- and serotype-specific factors.