The mRNA-lncRNA landscape of multiple tissues uncovers key regulators and molecular pathways that underlie heterosis for feed intake and efficiency in laying chickens.

IF 3.6 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Genetics Selection Evolution Pub Date : 2023-10-06 DOI:10.1186/s12711-023-00834-x
Jingwei Yuan, Jinmeng Zhao, Yanyan Sun, Yuanmei Wang, Yunlei Li, Aixin Ni, Yunhe Zong, Hui Ma, Panlin Wang, Lei Shi, Jilan Chen
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Abstract

Background: Heterosis is routinely exploited to improve animal performance. However, heterosis and its underlying molecular mechanism for feed intake and efficiency have been rarely explored in chickens. Feed efficiency continues to be an important breeding goal trait since feed accounts for 60 to 70% of the total production costs in poultry. Here, we profiled the mRNA-lncRNA landscape of 96 samples of the hypothalamus, liver and duodenum mucosa from White Leghorn (WL), Beijing-You chicken (YY), and their reciprocal crosses (WY and YW) to elucidate the regulatory mechanisms of heterosis.

Results: We observed negative heterosis for both feed intake and residual feed intake (RFI) in YW during the laying period from 43 to 46 weeks of age. Analysis of the global expression pattern showed that non-additivity was a major component of the inheritance of gene expression in the three tissues for YW but not for WY. The YW-specific non-additively expressed genes (YWG) and lncRNA (YWL) dominated the total number of non-additively expressed genes and lncRNA in the hypothalamus and duodenum mucosa. Enrichment analysis of YWG showed that mitochondria components and oxidation phosphorylation (OXPHOS) pathways were shared among the three tissues. The OXPHOS pathway was enriched by target genes for YWL with non-additive inheritance of expression in the liver and duodenum mucosa. Weighted gene co-expression network analysis revealed divergent co-expression modules associated with feed intake and RFI in the three tissues from WL, YW, and YY. Among the negatively related modules, the OXPHOS pathway was enriched by hub genes in the three tissues, which supports the critical role of oxidative phosphorylation. Furthermore, protein quantification of ATP5I was highly consistent with ATP5I expression in the liver, which suggests that, in crossbred YW, non-additive gene expression is down-regulated and decreases ATP production through oxidative phosphorylation, resulting in negative heterosis for feed intake and efficiency.

Conclusions: Our results demonstrate that non-additively expressed genes and lncRNA involved in oxidative phosphorylation in the hypothalamus, liver, and duodenum mucosa are key regulators of the negative heterosis for feed intake and RFI in layer chickens. These findings should facilitate the rational choice of suitable parents for producing crossbred chickens.

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多种组织的信使核糖核酸-核糖核酸景观揭示了蛋鸡采食量和效率杂种优势的关键调节因子和分子途径。
背景:杂种优势通常被用来提高动物的表现。然而,鸡的杂种优势及其影响采食量和效率的潜在分子机制很少被探索。饲料效率仍然是重要的育种目标特征,因为饲料占家禽总生产成本的60%至70%。在这里,我们分析了来自白角鸡(WL)、北京油鸡(YY)及其互惠杂交(WY和YW)的96个下丘脑、肝脏和十二指肠粘膜样品的信使核糖核酸景观,以阐明杂种优势的调节机制。结果:在43~46周龄的产蛋期,YW的采食量和剩余采食量均存在负杂种优势。对整体表达模式的分析表明,非加性是YW三种组织中基因表达遗传的主要组成部分,而不是WY。在下丘脑和十二指肠粘膜中,YW特异性非加性表达基因(YWG)和lncRNA(YWL)占主导地位。YWG的富集分析表明,线粒体成分和氧化磷酸化(OXPHOS)途径在三种组织中是共享的。YWL的靶基因富集了OXPHOS通路,在肝脏和十二指肠粘膜中具有非加性遗传表达。加权基因共表达网络分析显示,WL、YW和YY三种组织中与采食量和RFI相关的共表达模块存在差异。在负相关模块中,三种组织中的枢纽基因富集了OXPHOS通路,这支持氧化磷酸化的关键作用。此外,ATP5I的蛋白质定量与肝脏中的ATP5I表达高度一致,这表明,在杂交YW中,非加性基因表达下调,并通过氧化磷酸化减少ATP的产生,导致采食量和效率的负杂种优势。结论:我们的研究结果表明,参与下丘脑、肝脏和十二指肠粘膜氧化磷酸化的非附加表达基因和lncRNA是蛋鸡采食量和RFI负杂种优势的关键调节因子。这些发现应该有助于合理选择合适的亲本来生产杂交鸡。
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来源期刊
Genetics Selection Evolution
Genetics Selection Evolution 生物-奶制品与动物科学
CiteScore
6.50
自引率
9.80%
发文量
74
审稿时长
1 months
期刊介绍: Genetics Selection Evolution invites basic, applied and methodological content that will aid the current understanding and the utilization of genetic variability in domestic animal species. Although the focus is on domestic animal species, research on other species is invited if it contributes to the understanding of the use of genetic variability in domestic animals. Genetics Selection Evolution publishes results from all levels of study, from the gene to the quantitative trait, from the individual to the population, the breed or the species. Contributions concerning both the biological approach, from molecular genetics to quantitative genetics, as well as the mathematical approach, from population genetics to statistics, are welcome. Specific areas of interest include but are not limited to: gene and QTL identification, mapping and characterization, analysis of new phenotypes, high-throughput SNP data analysis, functional genomics, cytogenetics, genetic diversity of populations and breeds, genetic evaluation, applied and experimental selection, genomic selection, selection efficiency, and statistical methodology for the genetic analysis of phenotypes with quantitative and mixed inheritance.
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