Integration ATAC-Seq and RNA-Seq Analysis of Mammary Placodes in Erhualian and Bamaxiang Pigs Identified Candidate Genes Influencing Pig Teat Number Variation

IF 3.2 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Chenxi Liu, Ruihua Huang, Nengjing Jiang, Wuduo Zhou, Qian Liu, Taoran Du, Qian Zhang, Jinfeng Ma, Qingbo Zhao, Pinghua Li
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引用次数: 0

Abstract

Teat number is an important economic trait in pigs, affecting piglet health and survival. While numerous GWAS have identified candidate genes for teat number in Duroc, Landrace, and Large White pigs, the causal genes remain unclear, largely due to a lack of transcriptional and epigenetic studies on mammary placodes in 26-day-old pig embryos, a critical stage for teat formation. Erhualian and Bamaxiang pigs, derived from Chinese wild boars, serve as ideal models for studying genetic variation in teat number, with Erhualian averaging nearly 20 teats and Bamaxiang around 10. This study collected mammary placodes from these breeds at embryonic day 26 and performed ATAC-seq and RNA-seq to explore chromatin accessibility and gene expression. Results indicate widespread chromatin accessibility across mammary placodes. Of the 30,806 open chromatin regions (OCRs) identified, only 30 showed breed-specific differences, suggesting conserved accessibility patterns across breeds. OCRs are enriched in intergenic and promoter regions, and significantly overlap with QTL intervals for teat number. RNA-seq revealed 4432 differentially expressed genes between the two breeds, including WTN10B and WNT6, indicating breed-specific gene expression patterns. Combining ATAC-seq and RNA-seq results identified three protein-coding genes (ENSSSCG00000031037, ENSSSCG00000032042, and ENSSSCG00000039180) near 48.80 Mb on SSC14 that are associated with teat number according to pheWAS and GWAS data. FISH analysis confirmed that ENSSSCG00000031037 is specifically expressed in epithelial cells of mammary placodes, and this region is under stronger selection in Erhualian pigs, suggesting its role in the breed's higher teat number. In conclusion, this study integrates ATAC-seq and RNA-seq to construct a chromatin accessibility and gene expression map of pig mammary placodes. It identifies ENSSSCG00000031037, ENSSSCG00000032042, and ENSSSCG00000039180 as key candidate genes driving teat number differences, providing insights for understanding QTL intervals and identifying causal genes linked to teat number in pigs.

Abstract Image

二花莲猪和八马香猪乳房基板的ATAC-Seq和RNA-Seq整合分析鉴定了影响猪乳头数量变异的候选基因
泌乳数是猪的重要经济性状,影响着仔猪的健康和成活率。虽然许多GWAS已经确定了杜罗克、长白猪和大型白猪的乳头数量的候选基因,但致病基因仍不清楚,这主要是由于缺乏对26日龄猪胚胎(乳头形成的关键阶段)乳房基板的转录和表观遗传学研究。二花莲猪和八马香猪是研究产奶量遗传变异的理想模型,二花莲猪平均产奶量接近20头,八马香猪平均产奶量在10头左右。本研究收集了这些品种胚胎第26天的乳房基板,并进行了ATAC-seq和RNA-seq研究染色质可及性和基因表达。结果表明,染色质可及性在整个乳腺基板中广泛存在。在鉴定的30806个开放染色质区域(ocr)中,只有30个显示出品种特异性差异,表明品种间的可及性模式是保守的。ocr富集于基因间区和启动子区,并与QTL区间显著重叠。RNA-seq结果显示,包括WTN10B和WNT6在内的4432个基因在两个品种之间存在差异表达,显示了品种特异性基因表达模式。结合ATAC-seq和RNA-seq结果,根据pheWAS和GWAS数据,在SSC14上48.80 Mb附近鉴定出3个蛋白编码基因(ENSSSCG00000031037、ENSSSCG00000032042和ENSSSCG00000039180),它们与脂肪数量相关。FISH分析证实,ENSSSCG00000031037在乳腺基板上皮细胞中特异性表达,该区域在二花莲猪中受到更强的选择,提示其在二花莲猪的高产奶量中起作用。综上所述,本研究结合ATAC-seq和RNA-seq构建了猪乳腺基板的染色质可及性和基因表达图谱。该研究确定了ENSSSCG00000031037、ENSSSCG00000032042和ENSSSCG00000039180为驱动产奶量差异的关键候选基因,为理解猪的QTL间隔和识别与产奶量相关的因果基因提供了见解。
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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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