基于填充测序数据的荣昌猪群体遗传结构和选择信号分析

doi:10.11843/j.issn.0366-6964.2025.01.014

畜牧兽医学报 ›› 2025, Vol. 56 ›› Issue (1): 147-158.doi: 10.11843/j.issn.0366-6964.2025.01.014

基于填充测序数据的荣昌猪群体遗传结构和选择信号分析

吴平先¹^,²(), 王俊戈¹, 刁淑琪¹^,², 柴捷¹^,², 查琳⁴, 郭宗义¹^,², 陈红跃³, 龙熙¹^,²^,*()

1. 重庆市畜牧科学院, 重庆 402460
2. 国家生猪技术创新中心, 重庆 402460
3. 重庆市畜牧技术推广总站, 重庆 401120
4. 内江市农业科学院, 内江 641000

收稿日期:2024-08-09 出版日期:2025-01-23 发布日期:2025-01-18
通讯作者: 龙熙 E-mail:wupingxianxian@163.com;981568078@qq.com
作者简介:吴平先(1993-)，男，四川雅安人，副研究员，博士，主要从事猪遗传育种研究，E-mail: wupingxianxian@163.com
基金资助:
重庆市博士后特别资助项目(22327)；国家生猪技术创新中心先导科技项目(22601)；重庆市现代农业产业技术体系创新团队项目(23319)

Analysis of Genetic Architecture Characteristics and Selection Signature by Imputed Whole Genome Sequencing Data in Rongchang Pigs

WU Pingxian¹^,²(), WANG Junge¹, DIAO Shuqi¹^,², CHAI Jie¹^,², ZHA Lin⁴, GUO Zongyi¹^,², CHEN Hongyue³, LONG Xi¹^,²^,*()

1. Chongqing Academy of Animal Sciences, Chongqing 402460, China
2. National Center of Technology Innovation for Pigs, Chongqing 402460, China
3. Chongqing Animal Husbandry Technology Extension Station, Chongqing 401120, China
4. Neijiang Academy of Agricultural Sciences, Neijiang 641000, China

Received:2024-08-09 Online:2025-01-23 Published:2025-01-18
Contact: LONG Xi E-mail:wupingxianxian@163.com;981568078@qq.com

摘要/Abstract

摘要：

旨在基于填充序列数据，通过选择信号分析挖掘荣昌猪重要经济性状相关的候选基因，探究其在人工和自然选择过程中的受选择情况。本研究选取591头荣昌猪进行猪50K基因分型，随机选取其中120头进行全基因组测序，以全基因组重测序数据为填充参考模板对50K基因数据进行填充，基于填充序列数据开展遗传结构、Tajima’D和CLR分析。基因型填充后，基因型填充正确率为0.942，质控后保留了8 823 367个高质量SNPs(填充正确率为1.00)。遗传结构分析显示，荣昌猪群体不存在明显的群体分层，且绝大部分个体间遗传距离>0.1，分子亲缘系数 < 0.1。CLR检验筛选到226个潜在受选择区域，基因注释发现与繁殖、生长、胴体等性状相关的候选基因(CDK9、SLC2A8、IGF1R、GSK3B等基因)。利用Tajima’D检验检测到225个潜在受选择区域，基因注释发现与毛长度(CFAP299)、毛色或耳聋(MITF、ZNF532)、脂肪沉积(GSK3B)、繁殖(FOXP1)等性状相关的基因。进一步整合不同方法分析结果，发现11个相同的潜在受选择区域和123个候选基因，包括MITF、ZNF532、GSK3B等与耳聋和白化病、繁殖等经济性状相关的基因，并且发现1条显著的GO条目和KEGG通路(P < 0.05)与黑色素生成、视觉发育等通路相关。本研究根据富集分析结果和基因分子生物学功能，筛选出MITF、ZNF532、GSK3B、FOXP1、SLC2A8、CDK9、IGF1R、TBC1D4等8个重要候选基因可能参与调控荣昌猪毛色、耳聋、脂肪沉积、繁殖性能、生长性能等经济性状相关。该结果从全基因组水平探究了荣昌猪的遗传结构和选择信号特征，筛选出的重要候选基因为后续荣昌猪保种育种和特色性状的遗传机制解析提供了重要的理论参考。

关键词: 荣昌猪, 全基因组测序, 基因型填充, 遗传结构, 选择信号

Abstract:

This study aimed to identify the candidate genes associated with important economic traits of Rongchang pigs in the process of artificial and natural selection by selection signal analysis based on the imputed sequence data. In this study, a total of 591 Rongchang pigs were genotyped by porcine 50K SNP chip, among these, 120 pigs were randomly selected to perform whole genome sequencing. The whole genome resequencing data was used as reference template to imputed 50K SNP data. Then genetic structure analysis, Tajima'D and CLR tests were conducted based on the imputed sequence data. After genotype imputation, the imputation accuracy was 0.942, and 8 823 367 high-quality SNPs were retained after quality control (the imputation accuracy was 1.00). The genetic structure analysis showed that there was no obvious population stratification in Rongchang pig, and the genetic distance among most individuals was greater than 0.1, and the numerator relationship was less than 0.1. The CLR test detected 226 potential selected regions and found candidate genes (CDK9, SLC2A8, IGF1R, GSK3B) related to reproduction, growth and carcass traits through gene annotation. The Tajima'D test detected 225 potential selected regions, and gene annotation found that genes associated with hair length (CFAP299), hair color or deafness (MITF, ZNF532), fat deposition (GSK3B), and reproduction (FOXP1). Further analysis, a total of 11 same potential selected regions between the results of CLR and Tajima'D test were found, and 123 candidate genes related to important economic traits such as reproduction (ZNF532 and GSK3B), deafness and albinism(MITF)were screened. Moreover, a significant GO term and KEGG pathway (P < 0.05) related to melanin generation and ocular vision development was found. In this study, according to the results of enrichment analysis and molecular biological functions of genes, 8 important candidate genes, including MITF, ZNF532, GSK3B, FOXP1, SLC2A8, CDK9, IGF1R and TBC1D4, were suggested as the candidate genes for hair color and deafness, fat deposit, reproductive performance and growth performance in Rongchang pigs. These results explored the genetic structure and selection signature characteristics of Rongchang pigs at the whole genome level, the identified candidate genes associated with important economic traits provided an important theoretical reference for future breeding and genetic mechanism analysis of characteristic traits in Rongchang pigs.

Key words: Rongchang pig, whole genome sequencing, genotype imputation, genetic architecture, selection signature

中图分类号:

S828.2

吴平先, 王俊戈, 刁淑琪, 柴捷, 查琳, 郭宗义, 陈红跃, 龙熙. 基于填充测序数据的荣昌猪群体遗传结构和选择信号分析[J]. 畜牧兽医学报, 2025, 56(1): 147-158.

WU Pingxian, WANG Junge, DIAO Shuqi, CHAI Jie, ZHA Lin, GUO Zongyi, CHEN Hongyue, LONG Xi. Analysis of Genetic Architecture Characteristics and Selection Signature by Imputed Whole Genome Sequencing Data in Rongchang Pigs[J]. Acta Veterinaria et Zootechnica Sinica, 2025, 56(1): 147-158.

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参考文献 44

1	TAJIMA F . Statistical method for testing the neutral mutation hypothesis by DNA polymorphism[J]. Genetics, 1989, 123 (3): 585- 595. doi: 10.1093/genetics/123.3.585
2	NIELSEN R , WILLIAMSON S , KIM Y , et al. Genomic scans for selective sweeps using SNP data[J]. Genome Res, 2005, 15 (11): 1566- 1575. doi: 10.1101/gr.4252305
3	VOIGHT B F , KUDARAVALLI S , WEN X Q , et al. A map of recent positive selection in the human genome[J]. PLoS Biol, 2006, 4 (3): e72. doi: 10.1371/journal.pbio.0040072
4	HUDSON R R , SLATKIN M , MADDISON W P . Estimation of levels of gene flow from DNA sequence data[J]. Genetics, 1992, 132 (2): 583- 589. doi: 10.1093/genetics/132.2.583
5	CHEN H , PATTERSON N , REICH D . Population differentiation as a test for selective sweeps[J]. Genome Res, 2010, 20 (3): 393- 402. doi: 10.1101/gr.100545.109
6	SABETI P C , REICH D E , HIGGINS J M , et al. Detecting recent positive selection in the human genome from haplotype structure[J]. Nature, 2002, 419 (6909): 832- 837. doi: 10.1038/nature01140
7	陶伟, 侯黎明, 王彬彬, 等. 利用全基因组选择信号方法鉴别影响猪肉滴水损失的候选基因[J]. 畜牧兽医学报, 2022, 53 (5): 1373- 1383. doi: 10.11843/j.issn.0366-6964.2022.05.006
	TAO W , HOU L M , WANG B B , et al. Identification of candidate genes affecting drip loss in pork by genome-wide selection signal method[J]. Acta Veterinaria et Zootechnica Sinica, 2022, 53 (5): 1373- 1383. doi: 10.11843/j.issn.0366-6964.2022.05.006
8	ZHAO P J , YU Y , FENG W , et al. Evidence of evolutionary history and selective sweeps in the genome of Meishan pig reveals its genetic and phenotypic characterization[J]. GigaScience, 2018, 7 (5): giy058. doi: 10.1093/gigascience/giy058
9	CHEN L , TIAN S L , JIN L , et al. Genome-wide analysis reveals selection for Chinese Rongchang pigs[J]. Front Agr Sci Eng, 2017, 4 (3): 319- 326. doi: 10.15302/J-FASE-2017161
10	LI M Z , CHEN L , TIAN S L , et al. Comprehensive variation discovery and recovery of missing sequence in the pig genome using multiple de novo assemblies[J]. Genome Res, 2017, 27 (5): 865- 874. doi: 10.1101/gr.207456.116
11	PURCELL S , NEALE B , TODD-BROWN K , et al. PLINK: a tool set for whole-genome association and population-based linkage analyses[J]. Am J Hum Genet, 2007, 81 (3): 559- 575. doi: 10.1086/519795
12	LI H , DURBIN R . Fast and accurate short read alignment with Burrows-Wheeler transform[J]. Bioinformatics, 2009, 25 (14): 1754- 1760. doi: 10.1093/bioinformatics/btp324
13	LI H , HANDSAKER B , WYSOKER A , et al. The sequence alignment/map format and SAMtools[J]. Bioinformatics, 2009, 25 (16): 2078- 2079. doi: 10.1093/bioinformatics/btp352
14	DEPRISTO M A , BANKS E , POPLIN R , et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data[J]. Nat Genet, 2011, 43 (5): 491- 498. doi: 10.1038/ng.806
15	BROWNING B L , TIAN X W , ZHOU Y , et al. Fast two-stage phasing of large-scale sequence data[J]. Am J Hum Genet, 2021, 108 (10): 1880- 1890. doi: 10.1016/j.ajhg.2021.08.005
16	YANG J , LEE S H , GODDARD M E , et al. GCTA: a tool for genome-wide complex trait analysis[J]. Am J Hum Genet, 2011, 88 (1): 76- 82. doi: 10.1016/j.ajhg.2010.11.011
17	BU D C , LUO H T , HUO P P , et al. KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis[J]. Nucleic Acids Res, 2021, 49 (W1): W317- W325. doi: 10.1093/nar/gkab447
18	BAO Q , MA X M , JIA C J , et al. Resequencing and signatures of selective scans point to candidate genetic variants for hair length traits in long-haired and normal-haired Tianzhu white yak[J]. Front Genet, 2022, 13, 798076. doi: 10.3389/fgene.2022.798076
19	BROWNING B L , BROWNING S R . A unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individuals[J]. Am J Hum Genet, 2009, 84 (2): 210- 223. doi: 10.1016/j.ajhg.2009.01.005
20	WU P X , WANG K , ZHOU J , et al. A combined GWAS approach reveals key loci for socially-affected traits in Yorkshire pigs[J]. Commun Biol, 2021, 4 (1): 891. doi: 10.1038/s42003-021-02416-3
21	DASSONNEVILLE R , BRØNDUM R F , DRUET T , et al. Effect of imputing markers from a low-density chip on the reliability of genomic breeding values in Holstein populations[J]. J Dairy Sci, 2011, 94 (7): 3679- 3686. doi: 10.3168/jds.2011-4299
22	NI G Y , STROM T M , PAUSCH H , et al. Comparison among three variant callers and assessment of the accuracy of imputation from SNP array data to whole-genome sequence level in chicken[J]. BMC Genomics, 2015, 16, 824. doi: 10.1186/s12864-015-2059-2
23	吴平先, 陈力, 龙熙, 等. 荣昌猪初产繁殖性状的全基因组关联研究[J]. 畜牧兽医学报, 2023, 54 (1): 103- 112. doi: 10.11843/j.issn.0366-6964.2023.01.010
	WU P X , CHEN L , LONG X , et al. Genome-wide association studies for reproductive traits at first farrowing in Rongchang pigs[J]. Acta Veterinaria et Zootechnica Sinica, 2023, 54 (1): 103- 112. doi: 10.11843/j.issn.0366-6964.2023.01.010
24	HODGKINSON C A , MOORE K J , NAKAYAMA A , et al. Mutations at the mouse microphthalmia locus are associated with defects in a gene encoding a novel basic-helix-loop-helix-zipper protein[J]. Cell, 1993, 74 (2): 395- 404. doi: 10.1016/0092-8674(93)90429-T
25	LEVY C , KHALED M , FISHER D E . MITF: master regulator of melanocyte development and melanoma oncogene[J]. Trends Mol Med, 2006, 12 (9): 406- 414. doi: 10.1016/j.molmed.2006.07.008
26	ALEHABIB E , ALINAGHI S , POURFATEMI F , et al. Incomplete penetrance of MITF gene c.943C>T mutation in an extended family with Waardenburg syndrome type Ⅱ[J]. Int J Pediatr Otorhinolaryngol, 2020, 135, 110014. doi: 10.1016/j.ijporl.2020.110014
27	LIN R Y , ZHAO F L , XIONG T M , et al. Genetic mapping identifies SNP mutations in MITF-M promoter associated with melanin formation in Putian black duck[J]. Poult Sci, 2024, 103 (1): 103191. doi: 10.1016/j.psj.2023.103191
28	CHEN L , GUO W W , REN L L , et al. A de novo silencer causes elimination of MITF-M expression and profound hearing loss in pigs[J]. BMC Biol, 2016, 14, 52. doi: 10.1186/s12915-016-0273-2
29	XU Z H , RAI V , ZUO J . TUB and ZNF532 promote the atoh1-mediated hair cell regeneration in mouse cochleae[J]. Front Cell Neurosci, 2021, 15, 759223. doi: 10.3389/fncel.2021.759223
30	OCARANZA P , LAMMOGLIA J J , ÍÑIGUEZ G , et al. Effects of thyroid hormone on the GH signal transduction pathway[J]. Growth Horm IGF Res, 2014, 24 (1): 42- 46. doi: 10.1016/j.ghir.2014.01.001
31	YAN Z , CAO X J , SUN S X , et al. Inhibition of GSK3B phosphorylation improves glucose and lipid metabolism disorder[J]. Biochim Biophys Acta Mol Basis Dis, 2023, 1869 (6): 166726. doi: 10.1016/j.bbadis.2023.166726
32	LEE S , YANG W K , SONG J H , et al. Anti-obesity effects of 3-hydroxychromone derivative, a novel small-molecule inhibitor of glycogen synthase kinase-3[J]. Biochem Pharmacol, 2013, 85 (7): 965- 976. doi: 10.1016/j.bcp.2012.12.023
33	ZHANG Y B , LIU X , ZHANG L C , et al. Preliminary identification and analysis of differential RNA editing between higher and lower backfat thickness pigs using DNA-seq and RNA-seq data[J]. Anim Genet, 2022, 53 (3): 327- 339. doi: 10.1111/age.13193
34	KJØBSTED R , KRISTENSEN J M , ESKESEN N O , et al. TBC1D4-S711 controls skeletal muscle insulin sensitization after exercise and contraction[J]. Diabetes, 2023, 72 (7): 857- 871. doi: 10.2337/db22-0666
35	KRISTENSEN T , FREDHOLM M , CIRERA S . Expression study of GLUT4 translocation-related genes in a porcine pre-diabetic model[J]. Mamm Genome, 2015, 26 (11-12): 650- 657. doi: 10.1007/s00335-015-9601-z
36	LIU P , HUANG S X , LING S F , et al. Foxp1 controls brown/beige adipocyte differentiation and thermogenesis through regulating β3-AR desensitization[J]. Nat Commun, 2019, 10 (1): 5070. doi: 10.1038/s41467-019-12988-8
37	BOLORMAA S , HAYES B J , VAN DER WERF J H J , et al. Detailed phenotyping identifies genes with pleiotropic effects on body composition[J]. BMC Genomics, 2016, 17, 224. doi: 10.1186/s12864-016-2538-0
38	LAN Q , DENG Q C , QI S J , et al. Genome-wide association analysis identified variants associated with body measurement and reproduction traits in Shaziling pigs[J]. Genes (Basel), 2023, 14 (2): 522. doi: 10.3390/genes14020522
39	OQANI R K , LIN T , LEE J E , et al. Effects of CDK inhibitors on the maturation, transcription, and MPF activity of porcine oocytes[J]. Reprod Biol, 2017, 17 (4): 320- 326. doi: 10.1016/j.repbio.2017.09.003
40	WANG M D , YANG L , MENG J J , et al. Functionally active cyclin-dependent kinase 9 is essential for porcine reproductive and respiratory syndrome virus subgenomic RNA synthesis[J]. Mol Immunol, 2021, 135, 351- 364. doi: 10.1016/j.molimm.2021.05.004
41	ADASTRA K L , FROLOVA A I , CHI M M , et al. Slc2a8 deficiency in mice results in reproductive and growth impairments[J]. Biol Reprod, 2012, 87 (2): 49.
42	STEINHAUSER C B , LANDERS M , MYATT L , et al. Fructose synthesis and transport at the uterine-placental interface of pigs: cell-specific localization of SLC2A5, SLC2A8, and components of the polyol pathway[J]. Biol Reprod, 2016, 95 (5): 108. doi: 10.1095/biolreprod.116.142174
43	ZHANG Z , XIAO Q , ZHANG Q Q , et al. Genomic analysis reveals genes affecting distinct phenotypes among different Chinese and western pig breeds[J]. Sci Rep, 2018, 8 (1): 13352. doi: 10.1038/s41598-018-31802-x
44	YANG Y L , ZHOU R , MU Y L , et al. Genome-wide analysis of DNA methylation in obese, lean and miniature pig breeds[J]. Sci Rep, 2016, 6, 30160. doi: 10.1038/srep30160

染色体 Chromosome	候选区域/Mb Region	基因 Gene
1	107.68~108.42	CSNK1G1、PPIB、SNX22、SNX1、CIAO2A、DAPK2、HERC1、FBXL22、USP3
1	159.7~162.25	CDH20、MC4R、PMAIP1、CCBE1、LMAN1、CPLX4、RAX、GRP、SEC11C、ZNF532、MALT1、ALPK2
4	80.05~80.31	SPIDR
6	37.25~40.23	NETO2、DNAJA2、GPT2、C16orf87、MYLK3、ORC6、VPS35、SHCBP1、UQCRFS1、VSTM2B、POP4、PLEKHF1、C19orf12、URI1
11	46.28~48.45	TBC1D4、UCHL3、LMO7
11	49.03~49.85	KCTD12、ACOD1、CLN5、FBXL3、MYCBP2、SCEL、SLAIN1
13	34.25~34.97	TWF2、PPM1M、WDR82、MIRLET7G、GLYCTK、MIR135A1、DNAH1、BAP1、PHF7等
13	46.11~54.30	MITF、GSK3B、FOXP1、ADAMTS9、MAGI1、SLC25A26、LRIG1、KBTBD8、SUCLG2、ARL6IP5、LMOD3、FRMD4B等
13	139.98~141.27	GPR156、NR1I2、CFAP91、COX17、POPDC2、PLA1A、ADPRH、CD80等
15	51.75~51.96	—
15	89.48~90.07	ZNF804A

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基于填充测序数据的荣昌猪群体遗传结构和选择信号分析

Analysis of Genetic Architecture Characteristics and Selection Signature by Imputed Whole Genome Sequencing Data in Rongchang Pigs

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