Animal & Avian Sciences

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    MEDIATION OF CORTICOSTERONE-INDUCED GROWTH HORMONE GENE EXPRESSION IN CHICKEN EMBRYONIC PITUITARY CELLS: IDENTIFICATION OF TRANS-ACTING FACTORS AND A NOVEL PITUITARY CELL TYPE
    (2024) Liu, Kuan Ling; Porter, Tom E.; Animal Sciences; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Growth hormone (GH) is responsible for up to 30% of growth in broiler chickens. Somatotrophs, or GH secreting cells, begin to differentiate around embryonic day (e)14, in conjunction with an increase in the primary plasma glucocorticoid (GC) corticosterone (CORT). CORT treatment of e11 chicken embryonic pituitary (CEP) cells induces premature GH secretion. This GC-induced process involves trans-acting factors because the GH gene lacks a canonical GC response element (GRE). In addition to the binding of ETS1 and the GC receptor (GR) to the GC-responsive region (GCRR; 1045/ 964), we hypothesize that there are other regulatory factors necessary for CORT responsiveness. By modifying the pGL3_-1742/+25 GH-luciferase reporter, we have constructed various other GH-luciferase reporters and analyzed them for promoter activity in response to CORT treatment. We identified a putative distal (d) ETS-Like 1 (ELK1) binding site that is necessary. The proximal (p)PIT1 site and pTATA box were also identified to be critical for CORT induction of the GH gene. Interestingly, cloning multiple copies of the extended GCRR (eGCRR; -1067/-900) further increased promoter activity in an additive manner under both basal and CORT treated conditions. Through single-cell RNA sequencing (scRNAseq), 8 members of the ETS family of transcription factors were identified in > 5% of the somatotroph population. Commercial antibodies were validated, and human (h)ETV1, hELF2, hELK3, and hETV6 antibodies were confirmed to recognize their recombinant chicken ortholog and to identify their corresponding protein in e11 CEP cells. Results from chromatin immunoprecipitation quantitative PCR suggest that multiple ETS members are involved in CORT induction of the GH gene with more evidence pointing towards ELF2 and ELK3. Identifying trans-acting factors for the GH gene inducible by CORT allows for better understanding of endogenous GH regulation in chickens. Further analysis of the scRNAseq data from e11 CEP cells revealed a cluster of cells expressing genes for more than one hormone-producing cell type (“premature nebulous” cluster). Within the premature nebulous cluster, a large population (~30%) was co-expressing proopiomelanocortin (POMC) and growth hormone (GH). We named this novel cell population the cortico-somatotrophs. Through RNA fluorescent in-situ hybridization (RNA-FISH) and dual label immunofluorescence, we verified the existence of the cortico-somatotrophs at both the mRNA and protein level, respectively. Cortico-somatotrophs were also shown to share genes for receptors normally specific to both corticotrophs (CRH-R1) and somatotrophs (GHRHR). Additionally, in response to CORT treatment, the cortico somatotrophs showed an increase in GH as well as a decrease in POMC mRNA levels. The discovery of the cortico-somatotrophs suggests a modification to the current dogma on pituitary cell lineages, where corticotrophs and somatotrophs may have overlapping developmental pathways. In conclusion, our discovery of the cortico somatotrophs has furthered our understanding of CEP development and opened the door for further exploration of the cell lineages during pituitary development.
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    Phenotypic and Genetic Analysis of Reasons for Disposal in Dairy Cattle
    (2024) Iqbal, Victoria Audrey; Ma, Li; Animal Sciences; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Reasons for disposal are defined as why a cow has left the herd during lactation and are documented as termination codes. Dairy cattle termination codes were collected by Dairy Records Processing Centers and stored in the National Cooperator Database maintained by the Council on Dairy Cattle Breeding for analysis. The list of possible termination codes is as follows: code 0 is cow lactation that ended typically without an abortion, code 1 is locomotion problems, code 2 is female transferred or sold, code 3 is low milk yield, code 4 is reproductive problems, code 5 is unspecified reasons, code 6 is death, code 7 is the presence of mastitis, code 8 is abortion, code 9 is udder problems, code A is an unfavorable phenotype, and lastly code B is undesirable temperament. Understanding termination codes is the key to understanding and improving farm management. Unfortunately, the secondary termination codes are not utilized, despite studies saying one reason is too limited. Heifer termination codes should be more utilized, and studies show that this could improve heifer management. The four processing centers' principal termination codes deviated a little from year to year, but processing center D had the most variation in principal termination codes. There were few records with termination codes 9, A, and B. There was low lameness found for Jersey cattle but more fluctuations for their termination codes 6, 7, and 8. Jersey's main reason for disposal was sold and low milk yield. As for Holstein, the main reasons for disposal were low milk production and death. Recommendations include removing termination code 5 (other reasons) and enforcing a secondary termination code for code 2 (sold). Also, including the percentage of animal records used in traits developed at the CDCB was recommended to encourage farmers to add more records to improve breeding selections. Overall, the top main reasons for disposal were low milk yield, death, and reproduction across breeds from 2011 to 2022. To determine whether health traits correlate to termination codes and how health traits change the probability of survival, a multinomial logistic regression was developed, where twelve health traits, breeds, and other factors were used as an independent variable for the termination code, the dependent variable. The output is a regression coefficient list that conveys the effect of each health trait for each termination code. The results show the apparent impacts of animal breeds on different termination codes, such as dairy crossbreeds negatively affecting termination due to reproductive advantages that follow the literature. Lastly, using termination codes as phenotype, this study focuses on developing a genome-wide association study (GWAS) using the Weighted single-step Genomic Best Linear unbiased prediction (WssGBLUP) model to find significant SNPs related to survival in Holstein cows. In summary, this study provided an understanding of reasons for disposal trends, modeled the reasons for disposal, determined the likelihood of termination post-incidence, and found the heritability and important SNPs of each termination code.
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    A WIDE SCALE INVESTIGATION INTO LNCRNA IN BOS TAURUS
    (2023) Marceau, Alexis; Ma, Li; Animal Sciences; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Although the history of genetic research has focused on genes and gene products, there is an interesting emerging subclass of genetic elements: long noncoding RNAs (lncRNAs). These are portions of the genome that are longer than 200 base pairs in length and are transcribed from DNA to RNA but do not yield a protein. The function of lncRNA is wide reaching and difficult to define; however, they are predominantly linked to the regulation of gene expression. This is done via transcriptional control, translation control, pre- and post- transcriptional and translational control, epigenetic modifications, RNA processing,as well as other methods. In this dissertation, multiple Bos taurus tissues across various life conditions were investigated in order to identify lncRNA and to begin making predictions about the role and function of identified transcripts. First, lncRNA were identified and analyzed in Bos taurus rumen tissue in pre-weaning and post-weaning cattle. lncRNA were implicated in the weaning process and demonstrated enrichment in complex traits, indicating the continued impact rumen-associated lncRNA have on dairy cattle. Following this study, mammary tissues from dry and lactating cattle were used for lncRNA analysis, in relation to the lacta-tion processes. This study revealed both the presence and impact of mammary lncRNA, and identified lncRNA associated with genes and biological processes that are strongly linked to lactation and mammary tissue function. Subsequently, immune system related tissues were analyzed for lncRNA and their roles. This investigation demonstrated lncRNA to be present in all investigated tissues, including transcripts being repeatedly present. Further analysis into identified lncRNA associated transcripts with genes and functions that are crucial to immune response. Finally, a tutorial was created to make lncRNA identification research more easily accessible to future researchers. The findings and creations of this dissertation increase the knowledge base of lncRNA and their role, allowing for further research endeavors and improvements in Bos taurus husbandry.
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    The Genetic Architecture of Complex Traits and Diseases in Dairy Cattle
    (2022) Freebern, Ellen; Ma, Li; Animal Sciences; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Genetic architecture refers to the number and locations of genes that affect a trait, as well as the magnitude and the relative contributions of their effects. A better understanding of the genetic architecture of complex traits and diseases will be beneficial for analyzing genetic contributions to disease risk and for estimating genetic values of agricultural importance. In particular, genetic and genomic selection in dairy cattle populations has been well established and exploited through genome-wide association studies, sequencing studies, and functional studies. The objective of this dissertation is to understand the genetic architecture of complex traits and apply the understanding to investigate the biological relationship between genetics and diseases in dairy cattle. First, we performed GWAS and fine-mapping analyses on livability and six health traits in Holstein-Friesian cattle. From our analyses, we reported significant associations and candidate genes relevant to cattle health. Second, we evaluated genome-wide diversity in cattle over a period of time by running GWAS and proposed a gene dropping simulation program. From this study, we identified candidate variants under selection that are associated with biological and economically important traits in cattle. Also, we demonstrated that gene dropping is an applicable method to investigate changes in the cattle genome over time. Third, we investigated the effect of maternal age and temperature on recombination rate in cattle. We provided novel results regarding the plasticity of meiotic recombination in cattle. Additionally, we found a positive correlation between environmental temperature at conception and recombination rate in Holstein-Friesian cows. Collectively, these studies advance our understanding of the genetic architecture and the biological relationship between complex traits and diseases in dairy cattle.