Comparative analysis of the blood transcriptomes between wolves and dogs

被引:22
作者
Yang, X. [1 ]
Zhang, H. [1 ]
Shang, J. [2 ]
Liu, G. [1 ]
Xia, T. [1 ]
Zhao, C. [1 ]
Sun, G. [1 ]
Dou, H. [3 ]
机构
[1] Qufu Normal Univ, Coll Life Sci, Jingxuan West Rd 57, Qufu 273165, Shandong, Peoples R China
[2] Qufu Normal Univ, Coll Informat Sci & Engn, Yantai North Rd 80, Rizhao 276826, Shandong, Peoples R China
[3] Dailake Natl Nat Reserve, Manzhouli Rd 16, Hulunbuir 021000, Inner Mongolia, Peoples R China
关键词
Canis lupus; Canis lupus familiaris; differentially expressed gene; RNA-Seq; transcriptome; RNA-SEQ; EXPRESSION; GENE; SELECTION;
D O I
10.1111/age.12675
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Dogs were domesticated by human and originated from wolves. Their evolutionary relationships have attracted much scientific interest due to their genetic affinity but different habitats. To identify the differences between dogs and wolves associated with domestication, we analysed the blood transcriptomes of wolves and dogs by RNA-Seq. We obtained a total of 30.87Gb of raw reads from two dogs and three wolves using RNA-Seq technology. Comparisons of the wolf and dog transcriptomes revealed 524 genes differentially expressed genes between them. We found that some genes related to immune function (DCK, ICAM4, GAPDH and BSG) and aerobic capacity (HBA1, HBA2 and HBB) were more highly expressed in the wolf. Six differentially expressed genes related to the innate immune response (CCL23, TRIM10, DUSP10, RAB27A, CLEC5A and GCH1) were found in the wolf by a Gene Ontology enrichment analysis. Immune system development was also enriched only in the wolf group. The ALAS2, HMBS and FECH genes, shown to be enriched by the Kyoto Encyclopedia of Genes and Genomes analysis, were associated with the higher aerobic capacity and hypoxia endurance of the wolf. The results suggest that the wolf might have greater resistance to pathogens, hypoxia endurance and aerobic capacity than dogs do.
引用
收藏
页码:291 / 302
页数:12
相关论文
共 55 条
[1]   Differential expression analysis for sequence count data [J].
Anders, Simon ;
Huber, Wolfgang .
GENOME BIOLOGY, 2010, 11 (10)
[2]   HTSeq-a Python']Python framework to work with high-throughput sequencing data [J].
Anders, Simon ;
Pyl, Paul Theodor ;
Huber, Wolfgang .
BIOINFORMATICS, 2015, 31 (02) :166-169
[3]   Downregulation of the Spi-1/PU.1 oncogene induces the expression of TRIM10/HERF1, a key factor required for terminal erythroid cell differentiation and survival [J].
Blaybel, Rand ;
Tholeyre, Orianne ;
Douablin, Alexandre ;
Baklouti, Faouzi .
CELL RESEARCH, 2008, 18 (08) :834-845
[4]  
Brooks A., 1999, BMJ-BRIT MED J, V318, P215
[5]  
Busch R.H., 2013, WOLF ALMANAC NEW REV
[6]   Erythroid Heme Biosynthesis and Its Disorders [J].
Dailey, Harry A. ;
Meissner, Peter N. .
COLD SPRING HARBOR PERSPECTIVES IN MEDICINE, 2013, 3 (04)
[7]   Monitoring the immune response to vaccination with an inactivated vaccine associated to bovine neonatal pancytopenia by deep sequencing transcriptome analysis in cattle [J].
Demasius, Wiebke ;
Weikard, Rosemarie ;
Hadlich, Frieder ;
Mueller, Kerstin Elisabeth ;
Kuehn, Christa .
VETERINARY RESEARCH, 2013, 44
[8]   First insights into the giant panda (Ailuropoda melanoleuca) blood transcriptome: a resource for novel gene loci and immunogenetics [J].
Du, Lianming ;
Li, Wujiao ;
Fan, Zhenxin ;
Shen, Fujun ;
Yang, Mingyu ;
Wang, Zili ;
Jian, Zuoyi ;
Hou, Rong ;
Yue, Bisong ;
Zhang, Xiuyue .
MOLECULAR ECOLOGY RESOURCES, 2015, 15 (04) :1001-1013
[9]  
Duan XL, 2015, INT J CLIN EXP PATHO, V8, P2018
[10]   BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis [J].
Durinck, S ;
Moreau, Y ;
Kasprzyk, A ;
Davis, S ;
De Moor, B ;
Brazma, A ;
Huber, W .
BIOINFORMATICS, 2005, 21 (16) :3439-3440