Zhang He, Yu Daxin, Liu Dapeng, Tang Hehe, Liu Tong, Guo Zhanbao, Liu Hongfei, Wang Zhen, Mu Qiming, Liu Sirui, Zhang Yongfu, Hou Shuisheng, Zhou Zhengkui
State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
J Anim Sci. 2025 Jan 4;103. doi: 10.1093/jas/skaf222.
Mineral elements are crucial for biological functions, with meat serving as a key dietary source. Despite advances in ionome analysis, the genetic mechanisms regulating mineral accumulation in meat remain poorly understood. Here, we analyze the ionome of 376 breast muscles from the large gradient consanguinity segregating population generated by Pekin duck × Liancheng white duck crosses, quantifying 7 essential mineral elements (potassium (K), phosphorus (P), sodium (Na), magnesium (Mg), calcium (Ca), iron (Fe), and zinc (Zn)). Notably, Ca exhibited the most pronounced variation between Pekin duck and Liancheng white duck (fold change = 1.83, P < 0.01). Correlation analysis demonstrated significant positive relationships between Zn and Ca (r = 0.49), Na (r = 0.41), and (all P < 0.001), while negative correlations were observed between Na and K (r = -0.29) (P < 0.001). We then analyzed correlations between the ionomic profiles and growth and meat quality traits. Importantly, Ca concentrations showed strong negative correlations with both breast muscle thickness (r = -0.72) and body weight (r = -0.76) (both P < 0.01), but positively correlated with meat lightness (r = 0.54, P < 0.01). To elucidate the genetic architecture underlying the duck pectoralis muscle ionome, we first estimated its narrow-sense heritability, which ranged from 0.19 to 0.58 across different mineral elements. Through comprehensive genetic analyses incorporating genome-wide association studies, linkage disequilibrium mapping, gene annotation, and expression profiling, we identified 2 key genes (SLC25A25 and ATP2B2) on chromosomes 18 and 13 that collectively regulated Ca content. These lead single nucleotide polymorphisms in these loci explained 39.91% and 11.07% of the phenotypic variance, respectively. Notably, the lead SNP on Chr18 also demonstrated pleiotropic effects, contributing to both meat lightness (PVE = 14.79%) and breast muscle thickness (PVE = 1.79%). Furthermore, on chromosome 2, we discovered a significant SNP associated with both Na and Ca concentrations, accounting for 12.6% and 4.35% of phenotypic variation, respectively. Further analysis pinpointed gene SLC25A32 as the most promising candidate within this genomic region. These findings enhance our comprehension of the genetic basis underlying ion content in meat and offer valuable insights for refining breeding programs, while also providing a new direction for the combat hidden hunger through meat biofortification.
矿物质元素对生物功能至关重要,肉类是关键的膳食来源。尽管离子组分析取得了进展,但调节肉类中矿物质积累的遗传机制仍知之甚少。在此,我们分析了北京鸭×连城白鸭杂交产生的大梯度近亲分离群体中376块胸肌的离子组,定量了7种必需矿物质元素(钾(K)、磷(P)、钠(Na)、镁(Mg)、钙(Ca)、铁(Fe)和锌(Zn))。值得注意的是,钙在北京鸭和连城白鸭之间表现出最显著的差异(倍数变化=1.83,P<0.01)。相关性分析表明,锌与钙(r=0.49)、钠(r=0.41)之间存在显著正相关(均P<0.001),而钠与钾之间存在负相关(r=-0.29)(P<0.001)。然后,我们分析了离子组特征与生长和肉质性状之间的相关性。重要的是,钙浓度与胸肌厚度(r=-0.72)和体重(r=-0.76)均呈强烈负相关(均P<0.01),但与肉亮度呈正相关(r=0.54,P<0.01)。为了阐明鸭胸肌离子组的遗传结构,我们首先估计了其狭义遗传力,不同矿物质元素的狭义遗传力在0.19至0.58之间。通过整合全基因组关联研究、连锁不平衡定位、基因注释和表达谱分析的综合遗传分析,我们在18号和13号染色体上鉴定出2个关键基因(SLC25A25和ATP2B2),它们共同调节钙含量。这些位点的主要单核苷酸多态性分别解释了39.91%和11.07%的表型变异。值得注意的是,18号染色体上的主要单核苷酸多态性还表现出多效性,对肉亮度(PVE=14.79%)和胸肌厚度(PVE=1.79%)均有贡献。此外,在2号染色体上,我们发现了一个与钠和钙浓度均相关的显著单核苷酸多态性,分别占表型变异的12.6%和4.35%。进一步分析确定基因SLC25A32是该基因组区域内最有希望的候选基因。这些发现加深了我们对肉类中离子含量遗传基础的理解,为优化育种计划提供了有价值的见解,同时也为通过肉类生物强化对抗隐性饥饿提供了新的方向。