Scientia Agricultura Sinica ›› 2018, Vol. 51 ›› Issue (6): 1213-1222.doi: 10.3864/j.issn.0578-1752.2018.06.019

• ANIMAL SCIENCE·VETERINARY SCIENCERE·SOURCE INSECT • Previous Articles    

Genome-Wide Association of Spleen Weight in Layer Chicken

SHEN ManMan, QU Liang, DOU TaoCun, MA Meng, GUO Jun, LU Jian, HU YuPing, LI YongFeng, WANG KeHua   

  1. Jiangsu Institute of Poultry Science, Yangzhou 225125, Jiangsu
  • Received:2016-07-13 Online:2018-03-16 Published:2018-03-16

Abstract: 【Objective】 Genome-wide association study (GWAS) was used to demonstrate the molecular mechanism and genetic architecture of chicken spleen weight, which will provide a basis for improving hens health condition in late laying period. 【Method】 The resource population was from reciprocal by Dongxiang Blueshell Chicken and White Leghon, the spleen weight of 1 501 individuals from F2 generation was used as the experimental material. First, the F2 population genome DNA was genotyped by 600 K Affymetrix Axiom Chicken Genotyping Array. Then the quality control was conducted by APT software, some sporadic missing genotypes were imputed using BEAGLE procedure, principal component analysis was performed by PLINK software, genome-wide association study was carried out by GEMMA software, after these steps, the significant and suggestive loci association with spleen weight was identified. Besides, the heritability of spleen weight and chromosome was calculated by GCTA software. According to the false positive significant or suggestive loci, conditional analysis was carried out with the leading SNP as covariance and the linkage disequilibuium was analysis by Haploview. Eventually, the candidate genes were identified based on the gene annotation. 【Result】The phenotype of spleen weight showed extensive variations in late laying period. The heritability of spleen weight was 0.236. A total of 435 867 high quality SNPs were obtained after genotyped. The genomic inflation factor was 1.042 which showed that there is negligible inflation caused by population stratification. Totally, we found 412 and 281 SNPs for significant and suggestive association with spleen weight, respectively. The SNPs that located on GGA1 (gallus gallus chromosome 1), GGA4, GGA16 and GGA28, the significant region on GGA1 spanned from 161 to 174 Mb and ranged from 0.47 to 1.27 on GGA28, the suggestive significant SNPs located on 76 Mb on GGA4 and 175 kb on GGA16. Due to the linkage disequilibrium between the significant loci, the conditional analysis and linkage disequilibrium were performed. After conditional analysis of rs314001986 on GGA1 and rs312729296 on GGA28, the significant loci all dropped below threshold. The linkage disequilibrium analysis was performed by the significant loci on GGA4 and GGA16, the results showed that the suggestive loci showed strong linkage disequilibrium. The genes KCTD4, LDB2, HEP21, and PCASP2 that may involve in spleen growth development and immune response were considered as candidate gene after blasting against chicken genome reference assembly. Moreover, the heritability based on SNP of GGA1 was 9.25%, GGA28 was 4.55%. 【Conclusion】These results enriched the genetic architecture for spleen weight of adult hen in late laying period, the heritability of spleen weight was novel. By bioinformatics analysis the QTL detected for spleen weight was also novel, and 4 candidate genes identified.

Key words: chicken, spleen, genome-wide association study, resource population

[1]    吴春梅, 赵桂苹, 文杰, 陈继兰, 郑麦青, 陈国宏. 中国北京油鸡和引进白来航蛋鸡免疫性状的比较.畜牧兽医学报, 2007, 38(12): 1383-1388.
WU C M, ZHAO G P, WEN J, CHEN J L, ZHENG M Q, CHEN G H. Diversity of immune traits between Chinese Beijing-Yon Chicken and White Leghorn. Acta Ve'terinaria et Zootechnica Sinica, 2007, 38(12): 1383-1388. (in Chinese)
[2]    Poultry World ISA breeding program extended to 100-week cycle. http://www.poultryworld.net/Breeders/General/2010/10/ISA-breeding-program-extended-to-100-week-cycle-WP008025W/, 2010.
[3]    Doorn Dick Van 500 eggs in 100 weeks. http://www.poultryworld.net/ Eggs/ rticles/2015/ 11/500-eggs-in-100-weeks-2721812W/, 2015.
[4]    吴常信, 张浩. 蛋鸡100周龄生产500个蛋问题的思考.中国家禽, 2014, 36(11): 2-4.
WU C X, ZHANG H. Thinking about “500 eggs in 100 weeks”. China Poultry, 2014,36(11):2-4. (in Chinese)
[5]    严华祥, 蔡霞, 徐志刚, 杨俭, 邹仕琼,张佑.高产蛋鸡100周龄生产性能观察.中国畜牧杂志,2015,51(08):85-89.
YAN H x, CAI X, XU Z G, YANG J, ZOU S q, ZHANG Y. The observation of 100-week-old high yield layer production. Chinese Journal of Animal Science, 2015, 51(08): 85-89.(in Chinese)
[6]    张磊, 郑麦青, 刘冉冉, 文杰, 吴丹, 胡耀东, 孙艳发, 李鹏, 刘丽,赵桂苹.鸡胸腺重和脾脏重性状的全基因组关联. 中国农业科学, 2012, 45(15): 3165-3175.
ZHANG L, ZHENG M Q, LIU R R, WEN J, WU D, HU Y D, SUN Y F, LI P, LIU L, ZHAO G P. Genome-wide association of thymus and spleen mass in chicken. Scientia Agricultura Sinica, 2012, 45(15): 3165-3175.(in Chinese)
[7]    TER?I? DUŠAN, HOLCMAN ANTONIJA, DOV? PETER, MORRICE D R, BURT D W, HOCKING PAUL M,HORVAT SIMON. Identification of chromosomal regions associated with growth and carcass traits in an F3 full sib intercross line originating from a cross of chicken lines divergently selected on body weight. Animal genetics, 2009, 40(5): 743-748.
[8]    YI G Q, SHEN M M, YUAN J W, SUN C J, DUAN Z Y, QU L, DOU T C, MA M, LU J, GUO J, CHEN S R , QU L J, WANG K H, YANG N. Genome-wide association study dissects genetic architecture underlying longitudinal egg weights in chickens. BMC genomics, 2015, 16(1): 746.
[9]    KRANIS A, GHEYAS A A, BOSCHIERO C, TURNER F, YU L, SMITH S, TALBOT R, PIRANI A, BREW F, KAISER P. Development of a high density 600K SNP genotyping array for chicken. BMC genomics, 2013, 14(1):59.
[10]   SHAUN P, BENJAMIN N, KATHE T B, LORI T, MANUEL A F, DAVID B, JULIAN M, PAMELA S, DE BAKKER P I, DALY M J. PLINK: a tool set for whole-genome association and population- based linkage analyses. The American Journal of Human Genetics, 2007, 81(3): 559-575.
[11]   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. The American Journal of Human Genetics, 2009, 84(2):210-223.
[12]   GAO X Y, BECKER L C, BECKER D M, STARMER J D, PROVINCE M A. Avoiding the high Bonferroni penalty in genomewide association studies. Genetic Epidemiology, 2010, 34(1): 100-105.
[13]   ZHOU X, STEPHENS M. Efficient multivariate linear mixed model algorithms for genome-wide association studies. Nature Methods, 2014, 11(4):407-409.
[14]   AULCHENKO Y S, RIPKE S, ISAACS A,VAN DUIJN C M. GenABEL: an R library for genome-wide association analysis. Bioinformatics, 2007, 23(10):1294-1296.
[15]   ZHAO J H. Genetic analysis package. Research Gate, 2007. https:// www.researchgate. net/publication/245344955_An_Integrated_Genetic_ Analysis_Package_Using_R
[16]   YANG J, LEE S, GODDARD M,VISSCHER P. GCTA: a tool for genome-wide complex trait analysis. American Journal of Human Genetics, 2011, 88(1):76-82.
[17]   WILLIAM M, BETHAN P, DANIEL R, CHEN Y, PAUL F, FIONA C. Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor. Bioinformatics, 2010, 26(16): 2069-2070.
[18]   KINSELLA R J, KÄHÄRI A, HAIDER S, ZAMORA J, PROCTOR G, SPUDICH G, KERSEY P, FLICEK P, ALMEIDA-KING J, STAINES D, DERWENT P, KERHORNOU A. Ensembl BioMarts: a hub for data retrieval across taxonomic space. Database, 2011, 2011: bar030. doi:10.1093/database/bar030.print 2011.
[19]   LEE I, AJAY S S, YOOK J I, KIM H S, HONG S H, KIM N H, DHANASEKARAN S M, CHINNAIYAN A M, ATHEY B D. New class of microRNA targets containing simultaneous 5'-UTR and 3'-UTR interaction sites. Genome Research, 2009, 19(7):1175-1183.
[20]   PARK H B, JACOBSSON L, WAHLBERG P, SIEGEL P B, ANDERSSON L. QTL analysis of body composition and metabolic traits in an intercross between chicken lines divergently selected for growth. Physiological Genomics, 2006, 25(2):216-223.
[21]   SUN C J, LU J, YI G Q, YUAN JI W, DUAN Z Y, QU L J, XU G Y, WANG K H,YANG N. Promising loci and genes for yolk and ovary weight in chickens revealed by a genome-wide association study. PloS One, 2015, 10(9):e0137145.
[22]   YUAN J W, WANG K H, YI G Q, MA M, DOU T C, SUN C J, QU L J, SHEN M M, QU L,YANG N. Genome-wide association studies for feed intake and efficiency in two laying periods of chickens. Genetics Selection Evolution, 2015, 47(1):1-13.
[23]   WANG W H, WANG J Y, ZHANG T, WANG Y, ZHANG Y, HAN K. Genomewide association study of growth traits in Jinghai Yellow chicken hens using SLAFseq technology. Animal genetics, 2015.
[24]   XIE L, LUO C L, ZHANG C G, ZHANG R, TANG J, NIE Q H, MA L, HU X X, LI N, DA Y. Genome-wide association study identified a narrow chromosome 1 region associated with chicken growth traits. PloS One, 2012, 7(2):e30910.
[25]   HAMZI? E, KJÆRUP R B, MACH N, MINOZZI G, STROZZI F, GUALDI V, WILLIAMS J L, CHEN J, WATTRANG E, BUITENHUIS B, JUUL-MADSEN H R, DALGAARD T S. RNA sequencing-based analysis of the spleen transcriptome following infectious bronchitis virus infection of chickens selected for different mannose-binding lectin serum concentrations. BMC Genomics, 2016, 17(1):82.
[26]   LIU Z, XIANG Y, SUN G. The KCTD family of proteins: structure, function, disease relevance. Cell & Bioscience, 2013, 3(1):45.
[27]   RODRIGUEZ-MILLA M A, MIRONES I, MARINAS-PARDO L, MELEN G J, CUBILLO I, RAMIREZ M, GARCIA-CASTRO J. Enrichment of neural-related genes in human mesenchymal stem cells from neuroblastoma patients. International Journal of Molecular Medicine, 2012, 30(2):365-373.
[28]   吴丹.北京油鸡体重和屠体性状的全基因组关联研究[D]. 北京: 中国农业科学院, 2012.
WU D. Genome-wide association study of loci affecting body weight and carcass traits in Beijing-You Chicken[D]. Beijing: Chinese Academy of Agricultural Sciences Dissertation, 2012. (in Chinese)
[29]   GU X R, FENG C G, MA L, SONG C, WANG Y Q, DA Y, LI H F, CHEN K W, YE S H,GE C R.Genome-wide association study of body weight in chicken F2 resource population. PloS One, 2011, 6(7): e21872.
[30]   NAU F, GUERIN-DUBIARD C, DESERT C, GAUTRON J, BOUTON S, GRIBONVAL J, LAGARRIGUE S. Cloning and characterization of HEP21, a new member of the uPAR/Ly6 protein superfamily predominantly expressed in hen egg white. Poultry Science, 2003, 82(2):242-250.
[31]   刘龙. 蛋鸡输卵管膨大部在自然发育过程中各阶段转录组变化情况研究[D]. 北京: 中国农业大学, 2014.
LIU L. The Transcriptional ladnscape of natural developmental magnum in chickens[D]. Beijing: China Agricultural University, 2014. (in Chinese)
[32]   HULPIAU P, DRIEGE Y, STAAL J, BEYAERT R. MALT1 is not alone after all: identification of novel paracaspases. Cellular and Molecular Life Sciences,  2016 , 73 (5) :1103.
[1] SHU JingTing,SHAN YanJu,JI GaiGe,ZHANG Ming,TU YunJie,LIU YiFan,JU XiaoJun,SHENG ZhongWei,TANG YanFei,LI Hua,ZOU JianMin. Relationship Between Expression Levels of Guangxi Partridge Chicken m6A Methyltransferase Genes, Myofiber Types and Myogenic Differentiation [J]. Scientia Agricultura Sinica, 2022, 55(3): 589-601.
[2] ZHANG YaNan,JIN YongYan,ZHUANG ZhiWei,WANG Shuang,XIA WeiGuang,RUAN Dong,CHEN Wei,ZHENG ChunTian. Comparison of Shell Mechanical Property, Ultrastructure and Component Between Chicken and Duck Eggs [J]. Scientia Agricultura Sinica, 2022, 55(24): 4957-4968.
[3] TU YunJie,JI GaiGe,ZHANG Ming,LIU YiFan,JU XiaoJun,SHAN YanJu,ZOU JianMin,LI Hua,CHEN ZhiWu,SHU JingTing. Screening of Wnt3a SNPs and Its Association Analysis with Skin Feather Follicle Density Traits in Chicken [J]. Scientia Agricultura Sinica, 2022, 55(23): 4769-4780.
[4] HUANG XunHe,WENG ZhuoXian,LI WeiNa,WANG Qing,HE DanLin,LUO Wei,ZHANG XiQuan,DU BingWang. Genetic Diversity of Indigenous Yellow-Feathered Chickens in Southern China Inferred from Mitochondrial DNA D-Loop Region [J]. Scientia Agricultura Sinica, 2022, 55(22): 4526-4538.
[5] WANG ZhePeng,ZHOU WenXin,HE JunXi,HU QiaoYan,ZHAO JiaYue. Association of Levels of Cholecystokinin A Receptor Expression and Sequence Variants with Feed Conversion Efficiency of Lueyang Black-Boned Chicken [J]. Scientia Agricultura Sinica, 2022, 55(22): 4539-4549.
[6] GUO Jun,WANG KeHua,HAN Wei,DOU TaoCun,WANG XingGuo,HU YuPing,MA Meng,QU Liang. Analysis of Indirect Genetic Effects on Body Weight of 42 Day-Old Rugao Yellow Chickens [J]. Scientia Agricultura Sinica, 2022, 55(19): 3854-3861.
[7] BaoHua CHU,FuGuo CAO,NingNing BIAN,Qian QIAN,ZhongXing LI,XueWei LI,ZeYuan LIU,FengWang MA,QingMei GUAN. Resistant Evaluation of 84 Apple Cultivars to Alternaria alternata f. sp. mali and Genome-Wide Association Analysis [J]. Scientia Agricultura Sinica, 2022, 55(18): 3613-3628.
[8] YaTing JIA,HuiHui HU,YaJun ZHAI,Bing ZHAO,Kun HE,YuShan PAN,GongZheng HU,Li YUAN. Molecular Mechanism of Regulation by H-NS on IncFⅡ Plasmid Transmission of Multi-drug Resistant Chicken Escherichia coli [J]. Scientia Agricultura Sinica, 2022, 55(18): 3675-3684.
[9] CHANG LiGuo,HE KunHui,LIU JianChao. Mining of Genetic Locus of Maize Stay-Green Related Traits Under Multi-Environments [J]. Scientia Agricultura Sinica, 2022, 55(16): 3071-3081.
[10] ZHANG NingBo,HAN ZhaoQing,JIN TaiHua,ZHUANG GuiYu,LI JiongKui,ZHENG QuanSheng,LI YongZhu. Comparison Analysis on Eggshell Quality, Biochemical Index of Calcium Metabolism and Calcium Binding Protein CaBP-D28k mRNA Expression Between Langya Chicken and Its Synthetic Lines [J]. Scientia Agricultura Sinica, 2021, 54(9): 2017-2026.
[11] WANG GuangYu,LI Qing,TANG WenQian,WANG HuHu,XU XingLian,QIU WeiFen. Effects of nuoB on Physiological Properties of Pseudomonas fragi and Its Spoilage Potential in Chilled Chicken [J]. Scientia Agricultura Sinica, 2021, 54(8): 1761-1771.
[12] YuYan YANG,YaoWen LI,Shuang XING,MinHong ZHANG,JingHai FENG. The Temperature-Humidity Index Estimated by the Changes of Surface Temperature of Broilers at Different Ages [J]. Scientia Agricultura Sinica, 2021, 54(6): 1270-1279.
[13] TANG XiuJun,FAN YanFeng,JIA XiaoXu,GE QingLian,LU JunXian,TANG MengJun,HAN Wei,GAO YuShi. Genetic Diversity and Origin Characteristics of Chicken Species Based on Mitochondrial DNA D-loop Region [J]. Scientia Agricultura Sinica, 2021, 54(24): 5302-5315.
[14] ZHU Mo,ZHENG MaiQing,CUI HuanXian,ZHAO GuiPing,LIU Yang. Comparison of Genomic Prediction Accuracy for Meat Type Chicken Carcass Traits Based on GBLUP and BayesB Method [J]. Scientia Agricultura Sinica, 2021, 54(23): 5125-5131.
[15] YU BaoJun,DENG ZhanZhao,XIN GuoSheng,CAI ZhengYun,GU YaLing,ZHANG Juan. Correlation Analysis of Inosine Monophosphate Specific Deposition Related LNC_003828-gga-miR-107-3P-MINPP1 in Jingyuan Chicken Muscle Tissue [J]. Scientia Agricultura Sinica, 2021, 54(19): 4229-4242.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!