Association Analysis of Polymorphisms in the 5' Flanking Region of the HSP70 Gene with Blood Biochemical Parameters of Lactating Holstein Cows under Heat and Cold Stress.
Association Analysis of Polymorphisms in the 5' Flanking Region of the HSP70 Gene with Blood Biochemical Parameters of Lactating Holstein Cows under Heat and Cold Stress.
复制标题
DOI：
10.3390/ani10112016
复制
发表时间：
2020-11-02
期刊：
影响因子：
--
通讯作者：
Wang Y
中科院分区：
文献类型：
--
作者：
Abbas Z;Hu L;Fang H;Sammad A;Kang L;Brito LF;Xu Q;Wang Y
热应激对奶牛的健康、福利和生产产生不利影响，给世界范围内的奶牛产业造成巨大的经济损失。了解热应激的基因组背景可以导致更准确的遗传选择策略。本研究评估了14项血液生化指标作为热应激或冷应激的潜在生物标志物。此外，在HSP70的5 '侧区检测到12个单核苷酸多态性（snp），该基因已知与许多家畜物种的热应激反应相关。此外，4个snp与热应激下的乳酸和脂质过氧化以及冷应激下的多巴胺和超氧化物歧化酶显著相关。总之，这些分子标记和生物标记进一步加深了我们对荷斯坦牛耐热性的认识，并可用于改进气候适应育种策略。热应力（冷热）对全球乳制品行业具有巨大的经济和福利影响。因此，了解奶牛应对热应激机制的遗传背景，对实施有效的遗传选择方案具有重要意义。我们对HSP70基因中11个小等位基因频率单核苷酸多态性（MAF > 0.05）与血液生化参数的相关性进行了研究。热应激动物血液中生长激素（GH）、乳酸（LA）、催乳素（PRL）和超氧化物歧化酶（SOD）浓度显著高于对照组（p < 0.05），尿素氮（BUN）、c反应蛋白（CRP）、钾（K+）、乳酸脱氢酶（LDH）、过脂质（LPO）和去甲肾上腺素（NE）浓度显著低于对照组（p < 0.05）。冷应激动物皮质醇（COR）、皮质酮（CORT）和钾（K+）浓度显著（p < 0.05）升高（p < 0.05），促肾上腺皮质激素（ACTH）、多巴胺（DA）、GH、LDH、NE、PRL和SOD浓度显著低于对照组（p < 0.05）。此外，在热应激动物中，SNP A-12G和C181T与LA显著相关（p < 0.05）， A72G与LPO相关（p < 0.05）。冷胁迫条件下，SNP A-12G和SNP C131G分别与DA和SOD显著相关（p < 0.05）。这些snp标记与热应激下血液生化参数的波动显著相关，为了解荷斯坦牛气候适应能力的遗传机制提供了更好的视角。
Thermal stress causes detrimental effects on the health, welfare, and production of dairy cows, resulting in huge economic losses to the worldwide dairy cattle industry. Understanding the genomic background of thermal stress can lead to more accurate genetic selection strategies. In this study fourteen blood biochemical parameters were evaluated as potential biomarkers for heat or cold stress. Moreover, twelve single nucleotide polymorphisms (SNPs) were detected in the 5′ flanking region of the HSP70, a gene known to be associated with thermal stress response in many livestock species. Furthermore, four SNPs were significantly associated with lactate, and lipid peroxide under heat stress, and with dopamine and superoxide dismutase under cold stress. In summary, these molecular markers and bio-markers further our knowledge of thermotolerance in Holstein cattle and can be used for improving breeding strategies for climate resilience. Thermal stress (heat and cold) has large economic and welfare implications for the worldwide dairy industry. Therefore, it is paramount to understand the genetic background of coping mechanism related to thermal stress for the implementation of effective genetic selection schemes in dairy cattle. We performed an association study between 11 single nucleotide polymorphisms having minor allelic frequency (MAF > 0.05) in the HSP70 gene with blood biochemical parameters. The concentrations of growth hormone (GH), lactate (LA), prolactin (PRL), and superoxide dismutase (SOD) in blood were significantly higher (p < 0.05), while the concentrations of blood urea nitrogen (BUN), c-reactive protein (CRP), potassium (K+), lactate dehydrogenase (LDH), lipid peroxide (LPO), and norepinephrine (NE) were significantly lower (p < 0.05) in heat-stressed animals as compared to the control group. A significant (p < 0.05) increase in the concentrations of cortisol (COR), corticosterone (CORT), and potassium (K+) was observed (p < 0.05), while the concentrations of adrenocorticotrophic hormone (ACTH), dopamine (DA), GH, LDH, NE, PRL, and SOD were significantly lower in cold-stressed animals as compared to the control group (p < 0.05). Furthermore, SNP A-12G and C181T were significantly associated with LA (p < 0.05), while A72G was linked with LPO (p < 0.05) in heat-stressed animals. Moreover, the SNPs A-12G and SNP C131G were significantly associated (p < 0.05) with DA and SOD under cold stress condition, respectively. These SNPs markers significantly associated with fluctuations in blood biochemical parameters under thermal stress provide a better insight into the genetic mechanisms underlying climatic resilience in Holstein cattle.
登录
查看更多内容
影响因子：
3.5
作者：
Deb, Rajib;Sajjanar, Basavaraj;Sharma, Arjava
通讯作者：
Sharma, Arjava
影响因子：
3.3
作者：
COLLIER, RJ;DOELGER, SG;WILCOX, CJ
通讯作者：
WILCOX, CJ
影响因子：
3.5
作者：
Bernabucci, U;Ronchi, B;Nardone, A
通讯作者：
Nardone, A
影响因子：
1.6
作者：
Bhat S;Kumar P;Kashyap N;Deshmukh B;Dige MS;Bhushan B;Chauhan A;Kumar A;Singh G
通讯作者：
Singh G
影响因子：
3.2
作者：
Abeni, Fabio;Calamari, Luigi;Stefanini, Luigi
通讯作者：
Stefanini, Luigi