Identification of single nucleotide polymorphisms in the bovine Toll-like receptor 1 gene and association with health traits in cattle

Island demographics and trait associations in white-tailed deer

When a population is isolated and composed of few individuals, genetic drift is the paramount evolutionary force and results in the loss of genetic diversity. Inbreeding might also occur, resulting in genomic regions that are identical by descent, manifesting as runs of homozygosity (ROHs) and the expression of recessive traits. Likewise, the genes underlying traits of interest can be revealed by comparing fixed SNPs and divergent haplotypes between affected and unaffected individuals. Populations of white-tailed deer (Odocoileus virginianus) on islands of Saint Pierre and Miquelon (SPM, France) have high incidences of leucism and malocclusions, both considered genetic defects; on the Florida Keys islands (USA) deer exhibit smaller body sizes, a polygenic trait. Here we aimed to reconstruct island demography and identify the genes associated with these traits in a pseudo case-control design. The two island populations showed reduced levels of genomic diversity and a build-up of deleterious mutations compared to mainland deer; there was also significant genome-wide divergence in Key deer. Key deer showed higher inbreeding levels, but not longer ROHs, consistent with long-term isolation. We identified multiple trait-related genes in ROHs including LAMTOR2 which has links to pigmentation changes, and NPVF which is linked to craniofacial abnormalities. Our mixed approach of linking ROHs, fixed SNPs and haplotypes matched a high number (~50) of a-priori body size candidate genes in Key deer. This suite of biomarkers and candidate genes should prove useful for population monitoring, noting all three phenotypes show patterns consistent with a complex trait and non-Mendelian inheritance.

Effects of Anemoside B4 on Plasma Metabolites in Cows with Clinical Mastitis

Anemoside B4 has a good curative effect on cows with CM; however, its impact on their metabolic profiles is unclear. Based on similar somatic cell counts and clinical symptoms, nine healthy dairy cows and nine cows with CM were selected, respectively. Blood samples were collected from cows with mastitis on the day of diagnosis. Cows with mastitis were injected with anemoside B4 (0.05 mL/kg, once daily) for three consecutive days, and healthy cows were injected with the same volume of normal saline. Subsequently, blood samples were collected. The plasma metabolic profiles were analyzed using untargeted mass spectrometry, and the concentrations of interleukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α) in serum were evaluated via ELISA. The cows with CM showed increased concentrations of IL-1β, IL-6, and TNF-α (p < 0.05). After treatment with anemoside B4, the concentrations of IL-1β, IL-6, and TNF-α were significantly decreased (p < 0.01). Untargeted metabolomics analysis showed that choline, glycocholic acid, PC (18:0/18:1), 20-HETE, PGF3α, and oleic acid were upregulated in cows with CM. After treatment with anemoside B4, the concentrations of PC (16:0/16:0), PC (18:0/18:1), linoleic acid, eicosapentaenoic acid, phosphorylcholine, and glycerophosphocholine were downregulated, while the LysoPC (14:0), LysoPC (18:0), LysoPC (18:1), and cis-9-palmitoleic acid were upregulated. This study indicated that anemoside B4 alleviated the inflammatory response in cows with CM mainly by regulating lipid metabolism.

Genetic polymorphisms in immune- and inflammation-associated genes and their association with bovine mastitis resistance/susceptibility

Bovine mastitis, the inflammation of the mammary gland, is a contagious disease characterized by chemical and physical changes in milk and pathological changes in udder tissues. Depressed immunity and higher expression of inflammatory cytokines with an elevated milk somatic cell count can be observed during mastitis in dairy cattle. The use of somatic cell count (SCC) and somatic cell score (SCS) as correlated traits in the indirect selection of animals against mastitis resistance is in progress globally. Traditional breeding for mastitis resistance seems difficult because of the low heritability (0.10-0.16) of SCC/SCS and clinical mastitis. Thus, genetic-marker-selective breeding to improve host genetics has attracted considerable attention worldwide. Moreover, genomic selection has been found to be an effective and fast method of screening for dairy cattle that are genetically resistant and susceptible to mastitis at a very early age. The current review discusses and summarizes the candidate gene approach using polymorphisms in immune- and inflammation-linked genes (CD4, CD14, CD46, TRAPPC9, JAK2, Tf, Lf, TLRs, CXCL8, CXCR1, CXCR2, C4A, C5, MASP2, MBL1, MBL2, LBP, NCF1, NCF4, MASP2, A2M, and CLU, etc.) and their related signaling pathways (Staphylococcus aureus infection signaling, Toll-like receptor signaling, NF-kappa B signaling pathway, Cytokine-cytokine receptor, and Complement and coagulation cascades, etc.) associated with mastitis resistance and susceptibility phenotypic traits (IL-6, interferon-gamma (IFN-γ), IL17, IL8, SCS, and SCC) in dairy cattle.

Candidate genes for mastitis resistance in dairy cattle: a data integration approach

BACKGROUND

Inflammation of the mammary tissue (mastitis) is one of the most detrimental health conditions in dairy ruminants and is considered the most economically important infectious disease of the dairy sector. Improving mastitis resistance is becoming an important goal in dairy ruminant breeding programmes. However, mastitis resistance is a complex trait and identification of mastitis-associated alleles in livestock is difficult. Currently, the only applicable approach to identify candidate loci for complex traits in large farm animals is to combine different information that supports the functionality of the identified genomic regions with respect to a complex trait.

METHODS

To identify the most promising candidate loci for mastitis resistance we integrated heterogeneous data from multiple sources and compiled the information into a comprehensive database of mastitis-associated candidate loci. Mastitis-associated candidate genes reported in association, expression, and mouse model studies were collected by searching the relevant literature and databases. The collected data were integrated into a single database, screened for overlaps, and used for gene set enrichment analysis.

RESULTS

The database contains candidate genes from association and expression studies and relevant transgenic mouse models. The 2448 collected candidate loci are evenly distributed across bovine chromosomes. Data integration and analysis revealed overlaps between different studies and/or with mastitis-associated QTL, revealing promising candidate genes for mastitis resistance.

CONCLUSION

Mastitis resistance is a complex trait influenced by numerous alleles. Based on the number of independent studies, we were able to prioritise candidate genes and propose a list of the 22 most promising. To our knowledge this is the most comprehensive database of mastitis associated candidate genes and could be helpful in selecting genes for functional validation studies.

Applications of Omics Technology for Livestock Selection and Improvement

Conventional animal selection and breeding methods were based on the phenotypic performance of the animals. These methods have limitations, particularly for sex-limited traits and traits expressed later in the life cycle (e.g., carcass traits). Consequently, the genetic gain has been slow with high generation intervals. With the advent of high-throughput omics techniques and the availability of multi-omics technologies and sophisticated analytic packages, several promising tools and methods have been developed to estimate the actual genetic potential of the animals. It has now become possible to collect and access large and complex datasets comprising different genomics, transcriptomics, proteomics, metabolomics, and phonemics data as well as animal-level data (such as longevity, behavior, adaptation, etc.,), which provides new opportunities to better understand the mechanisms regulating animals’ actual performance. The cost of omics technology and expertise of several fields like biology, bioinformatics, statistics, and computational biology make these technology impediments to its use in some cases. The population size and accurate phenotypic data recordings are other significant constraints for appropriate selection and breeding strategies. Nevertheless, omics technologies can estimate more accurate breeding values (BVs) and increase the genetic gain by assisting the section of genetically superior, disease-free animals at an early stage of life for enhancing animal productivity and profitability. This manuscript provides an overview of various omics technologies and their limitations for animal genetic selection and breeding decisions.

Exploring the Potential of Interferon Gamma Gene as Major Immune Responder for Bovine Tuberculosis in River Buffalo

Bovine tuberculosis (bTB) is a widespread zoonotic infection targeting the livestock sector, especially in developing countries, and posing a risk to humans and animal populations. Its recent prevalence in river buffaloes has been estimated as higher as 33.7%. In emergent countries like Pakistan, there is likeliness of human-livestock interfaces extensively and lacking of effective preventive measures that illustrate the risk of spreading the infection at a remarkable rate. The river buffalo (Bubalus bubalis) is an upkeep host of Mycobacterium bovis and is responsible for disease transmission among buffaloes and other livestock species. In this study, potential molecular biomarkers in the Interferon-gamma gene (IFNg) were identified after genomic screening of river buffaloes. Unique genomic loci in river buffalo proved the novelty of the genomic structure of this phenomenal animal but also highlighted its significance in natural immunity against the Mycobacterium. A total of eight single nucleotide polymorphisms were identified in the coding region of IFNg. The SNPs in the exonic region were all transitions, i.e., the conversion of purines to purines. These SNPs were analyzed for Hardy Weinberg Equilibrium, chi² test, gene diversity, and protein structural conformation. Pathway analysis in tuberculosis revealed that IFNg inhibits the antigen-presenting cells (APC) through JAK and STAT pathways. Network analysis of IFNg proteins in both species showed strong associations among the immunity-related proteins (interleukins, tissue necrosis factors) and receptors of interferons. The identified polymorphic sites might be novel-potentiated markers for the selection of animals with superior immune response against bTB and can be exploited as promising genomic sites for breeding the resistant animal herds to combat Mycobacterium infection in a long run.

Applications of Nanovaccines for Disease Prevention in Cattle

Vaccines are one of the most important tools available to prevent and reduce the incidence of infectious diseases in cattle. Despite their availability and widespread use to combat many important pathogens impacting cattle, several of these products demonstrate variable efficacy and safety in the field, require multiple doses, or are unstable under field conditions. Recently, nanoparticle-based vaccine platforms (nanovaccines) have emerged as promising alternatives to more traditional vaccine platforms. In particular, polymer-based nanovaccines provide sustained release of antigen payloads, stabilize such payloads, and induce enhanced antibod- and cell-mediated immune responses, both systemically and locally. To improve vaccine administrative strategies and efficacy, they can be formulated to contain multiple antigenic payloads and have the ability to protect fragile proteins from degradation. Nanovaccines are also stable at room temperature, minimizing the need for cold chain storage. Nanoparticle platforms can be synthesized for targeted delivery through intranasal, aerosol, or oral administration to induce desired mucosal immunity. In recent years, several nanovaccine platforms have emerged, based on biodegradable and biocompatible polymers, liposomes, and virus-like particles. While most nanovaccine candidates have not yet advanced beyond testing in rodent models, a growing number have shown promise for use against cattle infectious diseases. This review will highlight recent advancements in polymeric nanovaccine development and the mechanisms by which nanovaccines may interact with the bovine immune system. We will also discuss the positive implications of nanovaccines use for combating several important viral and bacterial disease syndromes and consider important future directions for nanovaccine development in beef and dairy cattle.

Association of TLR gene variants in a Czech Red Pied cattle population with reproductive traits

The bovine genes TLR1, TLR2 and TLR6, which encode Toll-like receptors, key components of the innate immune system, were screened for polymorphisms in Czech Red Pied (Czech Simmental) cattle, and the different variants present in the population were tested for association with reproductive and fitness traits. Diversity was investigated in a group of 164 bulls using hybrid resequencing of pooled amplicons with PacBio technology and of pooled genomic DNA using HiSeq X-Ten technology. The validated single nucleotide polymorphisms (SNPs) were genotyped in individual animals using the primer extension technique. The association of genotypic classes of 16 polymorphisms with six phenotypic traits were estimated with one-way analysis of variance (ANOVA) and with restricted maximum likelihood (REML) algorithm. The evaluated traits included the incidence of cystic ovaries, index of early reproductive disorders, paternal and maternal indicators of calving ease, production longevity and calf vitality index. The estimated breeding values were used for combined trait quantification. Early traits, namely, cystic ovaries and early reproductive disorders, were not associated with any of the tested polymorphisms according to the general ANOVA test. By contrast, five variants of all three genes were associated with calving ease, both paternal and maternal. The production longevity correlated with two variants of TLR1 and the calf vitality index correlated with the 1044 T > C (rs68268249) polymorphism in TLR2. The false discovery rate (FDR) according to Benjamini-Hochberg was favourable for the calving ease trait (0.221) and maternal calving ease (0.214), which allows to consider the observed associations real, regardless of the error arising from the multiple comparisons. These results were supported by REML only partially, probably in view of the additivity assumption. Two mechanisms of action on calving are conceivable, either via infection resistance or via the involvement of TLR2 in signalling in the myometrium. The known formation of heterodimers by the TLR1, -2 and -6 products might be responsible for the shared pattern of action in these genes. The association of the calf vitality index with TLR2 variation might reflect the increased role of infections in calves compared to adult animals.

Potential of TLR-gene diversity in Czech indigenous cattle for resistance breeding as revealed by hybrid sequencing

A production herd of Czech Simmental cattle (Czech Red Pied, CRP), the conserved subpopulation of this breed, and the ancient local breed Czech Red cattle (CR) were screened for diversity in the antibacterial toll-like receptors (TLRs), which are members of the innate immune system. Polymerase chain reaction (PCR) amplicons of TLR1, TLR2, TLR4, TLR5, and TLR6 from pooled DNA samples were sequenced with PacBio technology, with 3- 5 ×  coverage per gene per animal. To increase the reliability of variant detection, the gDNA pools were sequenced in parallel with the Illumina X-ten platform at low coverage ( 60 × per gene). The diversity in conserved CRP and CR was similar to the diversity in conserved and modern CRP, representing 76.4 % and 70.9 % of its variants, respectively. Sixty-eight (54.4 %) polymorphisms in the five TLR genes were shared by the two breeds, whereas 38 (30.4 %) were specific to the production herd of CRP; 4 (3.2 %) were specific to the broad CRP population; 7 (5.6 %) were present in both conserved populations; 5 (4.0 %) were present solely for the conserved CRP; and 3 (2.4 %) were restricted to CR. Consequently, gene pool erosion related to intensive breeding did not occur in Czech Simmental cattle. Similarly, no considerable consequences were found from known bottlenecks in the history of Czech Red cattle. On the other hand, the distinctness of the conserved populations and their potential for resistance breeding were only moderate. This relationship might be transferable to other non-abundant historical cattle breeds that are conserved as genetic resources. The estimates of polymorphism impact using Variant Effect Predictor and SIFT software tools allowed for the identification of candidate single-nucleotide polymorphisms (SNPs) for association studies related to infection resistance and targeted breeding. Knowledge of TLR-gene diversity present in Czech Simmental populations may aid in the potential transfer of variant characteristics from other breeds.

Bovine neutrophils in health and disease

Bovine neutrophils have similarities to those of other species with respect to mechanisms of their activation and migration into tissue, modulation of immune responses and the balance between microbial killing and host tissue damage. However, bovine neutrophils have biochemical and functional differences from those of other species, which may yield insights about the comparative biology of neutrophils. Neutrophils play protective and harmful roles in the infectious diseases of cattle that occur at times of transition: respiratory disease in beef calves recently arrived to feedlots and mastitis and other diseases of postparturient dairy cows. An important research focus is the mechanisms by which risk factors for these diseases affect neutrophil function and thereby lead to disease and the prospect of genetic or pharmacologic improvement of disease resistance. Further, in keeping with the One Health paradigm, cattle can be considered a model for studying the role of neutrophils in naturally occurring diseases caused by host-adapted pathogens and are thus an intermediary between studies of mouse models and investigations of human disease. Finally, the study of bovine neutrophils is important for agriculture, to understand the pathogenesis of these production-limiting diseases and to develop novel methods of disease prevention that improve animal health and reduce the reliance on antimicrobial use.

Diversity of the TLR4 Immunity Receptor in Czech Native Cattle Breeds Revealed Using the Pacific Biosciences Sequencing Platform

The allelic variants of immunity genes in historical breeds likely reflect local infection pressure and therefore represent a reservoir for breeding. Screening to determine the diversity of the Toll-like receptor gene TLR4 was conducted in two conserved cattle breeds: Czech Red and Czech Red Pied. High-throughput sequencing of pooled PCR amplicons using the PacBio platform revealed polymorphisms, which were subsequently confirmed via genotyping techniques. Eight SNPs found in coding and adjacent regions were grouped into 18 haplotypes, representing a significant portion of the known diversity in the global breed panel and presumably exceeding diversity in production populations. Notably, the ancient Czech Red breed appeared to possess greater haplotype diversity than the Czech Red Pied breed, a Simmental variant, although the haplotype frequencies might have been distorted by significant crossbreeding and bottlenecks in the history of Czech Red cattle. The differences in haplotype frequencies validated the phenotypic distinctness of the local breeds. Due to the availability of Czech Red Pied production herds, the effect of intensive breeding on TLR diversity can be evaluated in this model. The advantages of the Pacific Biosciences technology for the resequencing of long PCR fragments with subsequent direct phasing were independently validated.

Subset-Specific Expression of Toll-Like Receptors by Bovine Afferent Lymph Dendritic Cells

Within the ruminant system, several possibilities exist to generate dendritic cells migrating out from the tissue into the regional draining lymph nodes as afferent lymph dendritic cells (ALDCs). Here, we analyzed toll-like receptor (TLR) 1-10 mRNA expression by using quantitative real-time PCR in highly purified subsets of bovine ALDC. As TLR expression may be influenced by pathogens or vaccines and their adjuvant, it is necessary to understand what TLRs are expressed in a steady-state system to elucidate specific differences and to potentially optimize targeted vaccines. In this study, we have assessed the TLR expression profiles of the four main bovine ALDC subsets [cDC1 and cDC2 (subsets 2-4)]. We demonstrate differences in TLR expression between the four subsets that may reflect the ability of these cells to respond to different pathogens or to respond to adjuvants.

Whole-genome sequencing of the endangered bovine species Gayal (Bos frontalis) provides new insights into its genetic features

Gayal (Bos frontalis) is a semi-wild and endangered bovine species that differs from domestic cattle (Bos taurus and Bos indicus), and its genetic background remains unclear. Here, we performed whole-genome sequencing of one Gayal for the first time, with one Red Angus cattle and one Japanese Black cattle as controls. In total, 97.8 Gb of sequencing reads were generated with an average 11.78-fold depth and >98.44% coverage of the reference sequence (UMD3.1). Numerous different variations were identified, 62.24% of the total single nucleotide polymorphisms (SNPs) detected in Gayal were novel, and 16,901 breed-specific nonsynonymous SNPs (BS-nsSNPs) that might be associated with traits of interest in Gayal were further investigated. Moreover, the demographic history of bovine species was first analyzed, and two population expansions and two population bottlenecks were identified. The obvious differences among their population sizes supported that Gayal was not B. taurus. The phylogenic analysis suggested that Gayal was a hybrid descendant from crossing of male wild gaur and female domestic cattle. These discoveries will provide valuable genomic information regarding potential genomic markers that could predict traits of interest for breeding programs of these cattle breeds and may assist relevant departments with future conservation and utilization of Gayal.

TLR9 transcriptional regulation in response to double-stranded DNA viruses

The stimulation of TLRs by pathogen-derived molecules leads to the production of proinflammatory cytokines. Because uncontrolled inflammation can be life threatening, TLR regulation is important; however, few studies have identified the signaling pathways that contribute to the modulation of TLR expression. In this study, we examined the relationship between activation and the transcriptional regulation of TLR9. We demonstrate that infection of primary human epithelial cells, B cells, and plasmacytoid dendritic cells with dsDNA viruses induces a regulatory temporary negative-feedback loop that blocks TLR9 transcription and function. TLR9 transcriptional downregulation was dependent on TLR9 signaling and was not induced by TLR5 or other NF-κB activators, such as TNF-α. Engagement of the TLR9 receptor induced the recruitment of a suppressive complex, consisting of NF-κBp65 and HDAC3, to an NF-κB cis element on the TLR9 promoter. Knockdown of HDAC3 blocked the transient suppression in which TLR9 function was restored. These results provide a framework for understanding the complex pathways involved in transcriptional regulation of TLR9, immune induction, and inflammation against viruses.

Functional polymorphisms in Toll-like receptor genes for innate immunity in farm animals

The exploitation of the genetic factors affecting the health status of farm animals represents an alternative approach to controlling the diseases caused by microbial pathogens. The determination of innate immunity based on the genotype of the germplasm cells is a constraint for specificity but becomes an advantage in breeding schemes. The structural deviations among Toll-like receptors (TLRs), as the most frequently studied innate immunity components, have been documented at all levels, i.e., interspecific, inter- and intravarietal, in the main farm species. The current computational methods facilitate the prediction of the functional consequences of the observed mutations. Subsequently, these predictions can be verified through immunological responsiveness and population-wide association studies. The frequency and haplotype grouping of individual polymorphisms are used to track the origin and selection coefficient as independent indicators of functional changes. The Toll-like receptor variants associated with mastitis and mycobacterial infection have been identified in cattle, consequently, the targeting of these proteins in breeding could contribute to disease control. The range of infections affected by TLR polymorphisms suggests that the improvement of innate resistance is feasible in more species. Thus, the traditional breeds and wild populations should be regarded as the resources of genetic variability accessible for these purposes.

LRRfinder2.0: A webserver for the prediction of leucine-rich repeats

Leucine-rich repeats (LRRs) are versatile motifs present in more than 6000 proteins throughout the phylogenetic kingdom. Tandem LRRs generate a characteristic horseshoe with a diverse range of functions. Fulfilling a key role in the innate immune system, LRRs form the TLR and NOD-like receptor (NLR) pathogen-recognition domain. Host–pathogen interactions mediated by LRRs drive those involved in ligand recognition to become distinct from their consensus motif. Most LRRs range between 21 and 30 residues; however, large insertions in certain TLRs can generate repeats of over 60 amino acids. LRR variability makes them ideal for species-specific mediation of host-pathogen interactions. Teleost TLRs show large insertions, making cross-species alignments difficult without prior demarcation of their LRR motifs. We present LRRfinder2.0, a webserver for LRR prediction. LRRfinder2.0 utilizes scoring matrices comprising more than 60,000 LRR motifs from more than 200 species. The underlying TLR database tLRRdb contains more than 3500 manually annotated sequences, augmenting identification of irregular LRR motifs.