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对(双峰驼)基因组进行全基因组重测序分析,鉴定影响产奶性状的突变和基因。

Whole-Genome Resequencing Analysis of the (Bactrian Camel) Genome Identifies Mutations and Genes Affecting Milk Production Traits.

机构信息

Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China.

Xinjiang Camel Industry Engineering Technology Research Center, Urumqi 830017, China.

出版信息

Int J Mol Sci. 2024 Jul 17;25(14):7836. doi: 10.3390/ijms25147836.

Abstract

Milk production is an important trait that influences the economic value of camels. However, the genetic regulatory mechanisms underlying milk production in camels have not yet been elucidated. We aimed to identify candidate molecular markers that affect camel milk production. We classified Junggar Bactrian camels (9-10-year-old) as low-yield (<1.96 kg/d) or high-yield (>2.75 kg/d) based on milk production performance. Milk fat (5.16 ± 0.51 g/100 g) and milk protein (3.59 ± 0.22 g/100 g) concentrations were significantly lower in high-yielding camels than those in low-yielding camels (6.21 ± 0.59 g/100 g, and 3.93 ± 0.27 g/100 g, respectively) ( < 0.01). There were no apparent differences in gland tissue morphology between the low- and high-production groups. Whole-genome resequencing of 12 low- and 12 high-yield camels was performed. The results of selection mapping methods, performed using two methods ( and ), showed that 264 single nucleotide polymorphism sites (SNPs) overlapped between the two methods, identifying 181 genes. These genes were mainly associated with the regulation of oxytocin, estrogen, ErbB, Wnt, mTOR, PI3K-Akt, growth hormone synthesis/secretion/action, and MAPK signaling pathways. A total of 123 SNPs were selected, based on significantly associated genomic regions and important pathways for SNP genotyping, for verification in 521 additional Bactrian camels. This analysis showed that 13 SNPs were significantly associated with camel milk production yield and 18 SNPs were significantly associated with camel milk composition percentages. Most of these SNPs were located in coding regions of the genome. However, five and two important mutation sites were found in the introns of (β-casein) and (κ-casein), respectively. Among the candidate genes, , , , , and have previously been well studied in dairy livestock. These observations provide a basis for understanding the molecular mechanisms underlying milk production in camels as well as genetic markers for breeding programs aimed at improving milk production.

摘要

产奶量是影响骆驼经济价值的一个重要特征。然而,骆驼产奶的遗传调控机制尚未阐明。我们旨在鉴定影响骆驼产奶量的候选分子标记。我们根据产奶性能将准噶尔双峰驼(9-10 岁)分为低产(<1.96kg/d)和高产(>2.75kg/d)。高产骆驼的乳脂(5.16±0.51g/100g)和乳蛋白(3.59±0.22g/100g)浓度明显低于低产骆驼(6.21±0.59g/100g 和 3.93±0.27g/100g)(<0.01)。低产组和高产组的乳腺组织形态无明显差异。对 12 头低产骆驼和 12 头高产骆驼进行全基因组重测序。使用两种方法(和)进行选择作图方法的结果表明,两种方法重叠的单核苷酸多态性(SNP)位点有 264 个,鉴定出 181 个基因。这些基因主要与催产素、雌激素、ErbB、Wnt、mTOR、PI3K-Akt、生长激素合成/分泌/作用和 MAPK 信号通路的调节有关。基于与 SNP 基因分型显著相关的基因组区域和重要通路,共选择了 123 个 SNP 进行 521 头双峰驼的验证。分析表明,13 个 SNP 与骆驼产奶量显著相关,18 个 SNP 与骆驼乳成分百分比显著相关。这些 SNP 大多位于基因组的编码区。然而,在 (β-酪蛋白)和 (κ-酪蛋白)的内含子中分别发现了五个和两个重要的突变位点。在候选基因中, 、 、 、 、 和 已在奶牛中得到了很好的研究。这些观察结果为了解骆驼产奶的分子机制以及提高产奶量的育种计划的遗传标记提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f62/11277051/040e24b8f173/ijms-25-07836-g001.jpg

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