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1.
Mol Biol Rep ; 51(1): 963, 2024 Sep 05.
Article in English | MEDLINE | ID: mdl-39235569

ABSTRACT

BACKGROUND: Bovine leukocyte adhesion deficiency (BLAD), bovine citrullinemia (BC), and deficiency of Uridine monophosphate synthetase (DUMPS) are the common autosomal recessive disorders affecting the global dairy industry. BLAD leads to poor wound healing and recurrent infections. In BC, ammonia builds up leading to neurological disorders and death. DUMPS results in developmental abnormalities. METHODOLOGY: In this study, tetra-primer amplification refractory mutation system polymerase chain reaction (ARMS PCR) based diagnostic tests were optimized for BLAD, BC, and DUMPS. A total of 250 animals (58 indigenous and 192 Holstein Friesian (HF)) were screened from all across Pakistan. In addition to validation of ARMS-PCR results through Sanger sequencing, the protein modeling provided structural insights of the disease-associated reported SNPs. Pathway analysis illustrated gene functions under normal and mutated conditions. Furthermore, haplotype and phylogenetic analysis of ASS1 (Argininosuccinate synthetase) gene were performed on study samples and NCBI retrieved sequences. RESULTS: The study's focus was to screen the herds for prevalence of carriers of genetic disorders, as they are the main source of disease dissemination. One animal was found carrier for BC, whereas no carriers were found for BLAD and DUMPS. The protein models corroborated the reported amino acid change in BLAD, and protein truncation in both BC and DUMPS proteins. SNPs found in NCBI retrieved sequences were either silent or missense and had no effect on protein structure. DNA network presented graphical illustration of haplotype interactions and phylogenetic analysis conferred evolutionary landscape of ASS1 gene. The combination of these approaches produced an in-depth genetic picture of BC in Pakistani cattle. CONCLUSION: The development of diagnostic tests and identification of the heterozygous BC sample underscores the significance of constant monitoring to avoid the unwanted dissemination of mutant alleles among Pakistani cattle, thereby promoting the general well-being and sustainability of the dairy sector.


Subject(s)
Cattle Diseases , Polymorphism, Single Nucleotide , Animals , Cattle , Pakistan , Cattle Diseases/genetics , Cattle Diseases/diagnosis , Polymorphism, Single Nucleotide/genetics , Leukocyte-Adhesion Deficiency Syndrome/genetics , Leukocyte-Adhesion Deficiency Syndrome/diagnosis , Leukocyte-Adhesion Deficiency Syndrome/veterinary , Phylogeny , Polymerase Chain Reaction/methods , Haplotypes/genetics , Argininosuccinate Synthase/genetics , Argininosuccinate Synthase/metabolism , Genetic Variation/genetics , Mutation/genetics
2.
Biochem Genet ; 2024 Apr 25.
Article in English | MEDLINE | ID: mdl-38664326

ABSTRACT

Improving the low productivity levels of native cattle breeds in smallholder farming systems is a pressing concern in Pakistan. Crossbreeding high milk-yielding holstein friesian (HF) breed with the adaptability and heat tolerance of Sahiwal cattle has resulted in offspring that are well-suited to local conditions and exhibit improved milk yield. The exploration of how desirable traits in crossbred dairy cattle are selected has not yet been investigated. This study aims to provide the first overview of the selective pressures on the genome of crossbred dairy cattle in Pakistan. A total of eighty-one crossbred, thirty-two HF and twenty-four Sahiwal cattle were genotyped, and additional SNP genotype data for HF and Sahiwal were collected from a public database to equate the sample size in each group. Within-breed selection signatures in crossbreds were investigated using the integrated haplotype score. Crossbreds were also compared to each of their parental breeds to discover between-population signatures of selection using two approaches: cross-population extended haplotype homozygosity and fixation index. We identified several overlapping genes associated with production, immunity, and adaptation traits, including U6, TMEM41B, B4GALT7, 5S_rRNA, RBM27, POU4F3, NSD1, PRELID1, RGS14, SLC34A1, TMED9, B4GALT7, OR2AK3, OR2T16, OR2T60, OR2L3, and CTNNA1. Our results suggest that regions responsible for milk traits have generally experienced stronger selective pressure than others.

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