DNA polymorphisms of FGFBP1, leptin, κ-casein, and αs1-casein genes and their association with reproductive performance in dromedary she-camels

Al‐Sharif, Mona; Radwan, Hend; Hendam, Basma M.; Ateya, Ahmed

doi:10.1016/j.theriogenology.2021.11.001

Cited by 6 publications

(2 citation statements)

References 55 publications

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“…Additionally, animals with a high level of resistance expressed thousands of genes associated with immune function, according to gene expression studies [ 27 , 28 ]. Association analysis performed on a variety of animals typically identifies genetic variants that have an impact on phenotypic variation [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

DNA Polymorphisms and mRNA Levels of Immune Biomarkers as Candidates for Inflammatory Postpartum Disorders Susceptibility in Italian Buffaloes

Ateya,

Safhi,

El-Emam

et al. 2023

Veterinary Sciences

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The immunological genes that may interact with inflammatory postpartum diseases in Italian buffaloes were examined in this study. A total number of 120 female Italian buffaloes (60 normal and 60 with inflammatory reproductive diseases) were employed. Each buffalo’s jugular vein was pierced to get five milliliters of blood. To obtain whole blood and extract DNA and RNA, the blood was placed within tubes containing sodium fluoride or EDTA anticoagulants. The immunological (IKBKG, LGALS, IL1B, CCL2, RANTES, MASP2, HMGB1, and S-LZ) genes’ nucleotide sequence differences between healthy buffaloes and buffaloes affected by inflammatory reproductive diseases were found by employing PCR-DNA sequencing. According to Fisher’s exact test (p ˂ 0.01), there were noticeably different probabilities of all major nucleotide changes spreading among buffalo groups with and without reproductive problems. Buffaloes were significantly more likely to express the examined genes when they had inflammatory reproductive diseases. The outcomes might support the significance of these markers’ nucleotide variations and gene expression patterns as indicators of the prevalence of inflammatory reproductive disorders and provide a workable buffalo management policy.

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Section: Introductionmentioning

confidence: 99%

DNA Polymorphisms and mRNA Levels of Immune Biomarkers as Candidates for Inflammatory Postpartum Disorders Susceptibility in Italian Buffaloes

Ateya,

Safhi,

El-Emam

et al. 2023

Veterinary Sciences

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“…A number of genes and gene combinations have been found to directly correlate with animal performance and production efficiency (Rexroad et al, 2019;Ruan et al, 2021). Many quantitative trait loci (QTL)-gene loci responsible for trait diversity-have been identified for various production and reproductive traits and used for selection and breeding decisions (Zhang et al, 2021;Al-Sharif et al, 2022). Several genetic markers have also been discovered for use in markerassisted selection (MAS) of breeding stock (Ma et al, 2021;Raza et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Applications of Omics Technology for Livestock Selection and Improvement

et al. 2022

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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.

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Genetic variations of α-casein and K-casein genes associated with milk composition in goats

Darwish,

Ali

et al. 2023

Small Ruminant Research

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DNA polymorphisms of FGFBP1, leptin, κ-casein, and αs1-casein genes and their association with reproductive performance in dromedary she-camels

Cited by 6 publications

References 55 publications

DNA Polymorphisms and mRNA Levels of Immune Biomarkers as Candidates for Inflammatory Postpartum Disorders Susceptibility in Italian Buffaloes

DNA Polymorphisms and mRNA Levels of Immune Biomarkers as Candidates for Inflammatory Postpartum Disorders Susceptibility in Italian Buffaloes

Applications of Omics Technology for Livestock Selection and Improvement

Genetic variations of α-casein and K-casein genes associated with milk composition in goats

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