基于转录组学筛选哈萨克马泌乳量相关基因

doi:10.16431/j.cnki.1671-7236.2024.12.026

Abstract

Abstract: 【Objective】 The aim of this experiment was to screen the genes affecting lactation in Kazakh horses and provide data support for the selection of Kazakh horses for dairy type.【Method】 Transcriptome sequencing was performed on whole blood from the jugular vein of 12 Kazakh horses at peak lactation to screen differentially expressed gene (DEG) related to lactation in Kazakh horses.GO function and KEGG pathway enrichment analysis were performed on DEGs,and Sankey bubble maps of the enriched pathways were plotted to screen for genes related to lactation in Kazakh horses and construct a gene interaction network.6 DEGs were randomly selected for Real-time quantitative PCR to verify the accuracy of transcriptome data.【Result】 A total of 286 DEGs were identified in the high and low lactation group,including 198 up-regulated genes and 98 down-regulated genes.27 terms were enriched by GO enrichment analysis,which included cell structure,cellular enzyme activity,substance transport,etc.13 pathways were enriched by KEGG enrichment analysis,which included cellular processes related to cellular autophagy,proliferation and migration as well as neural signaling,hormone secretion,protein metabolism,environmental adaptation and immune diseases.A regulatory network of 95 DEGs was constructed by STRING program,and a Hub group of 10 DEGs was screened out.Real-time quantitative PCR results showed that the trends of the detected genes in the high and low lactation groups of Kazakh horses were basically consistent with RNA-Seq results.【Conclusion】 This study screened the genes KCNN4,CAMK2B, CACNA1D,CACNA1E and GRIA4 to be related to the amount of lactation of Kazakh horses during peak lactation,and these genes regulated lactation of Kazakh horses through reciprocal regulation of transmembrane transport,insulin and cortisol secretion and ErbB signaling pathway.

Key words: Kazakh horse; lactation; RNA-Seq; differentially expressed gene

CLC Number:

S821.8⁺9

MENG Chen, ZENG Yaqi, WANG Jianwen, YAO Xinkui, LUO Penghui, XIE Xiaoyu, LI Pengcheng, LIU Xiaoxiao, WANG Chuankun, MENG Jun. Screening of Genes Related to Lactation in Kazakh Horses Based on Transcriptomic[J]. China Animal Husbandry and Veterinary Medicine, 2024, 51(12): 5392-5404.

References

[1] 温佩佩, 肖彬彬, 褚楚，等.常见动物乳与人乳的营养成分比较分析[J].中国乳业, 2023，1:96-102.WEN P P, XIAO B B, CHU C, et al.Comparison and analysis of nutritional composition between common animal milk and human milk [J].China Dairy, 2023，1:96-102.(in Chinese)
[2] 古丽巴哈尔·卡吾力, 马建宝, 卡丽比努尔·艾尔肯，等.马乳源性生物活性肽生物学信息及其抗肺癌作用靶点探索[J].中国乳品工业, 2024, 52(1):17-21.GULIBAHAR K，MA J B, KARIBINUR E, et al.Biological information of equine milk-derived bioactive peptides and their anti-lung cancer targets[J].China Dairy Industry, 2024, 52(1):17-21.(in Chinese)
[3] 罗鹏辉.浅谈新疆马种资源开发与利用[J].新疆畜牧业, 2022, 37(4):15-21.LUO P H.Development and utilization of horse breed resources in Xinjiang[J]. Xinjiang Xumuye, 2022, 37(4):15-21.(in Chinese)
[4] BAI X, ZHENG Z, LIU B, et al.Whole blood transcriptional profiling comparison between different milk yield of Chinese Holstein cows using RNA-Seq data[J].BMC Genomics, 2016, 17:173-182.
[5] SIKKA P, SINGH K P, SINGH I, et al.Whole blood transcriptome analysis of lactating Murrah buffaloes divergent to contrasting genetic merits for milk yield[J].Frontiers in Animal Science, 2023, 4:1135429.
[6] BAHBAHANI H, MUSA H H, WRAG G D, et al.Genome diversity and signatures of selection for production and performance traits in dromedary camels[J]. Frontiers in Genetics, 2019, 10:448854.
[7] YAO H, DOU Z, ZHAO Z, et al.Transcriptome analysis of the Bactrian camel (Camelus bactrianus) reveals candidate genes affecting milk production traits[J]. BMC Genomics, 2023, 24(1):660.
[8] SANDRI M, STEFANON B, LOOR J J.Transcriptome profiles of whole blood in Italian Holstein and Italian Simmental lactating cows diverging for genetic merit for milk protein[J].Journal of Dairy Science, 2015, 98(9):6119-6127.
[9] CAI J, LIANG S, XIE Y, et al.Milk yield variation partially attributed to blood oxygen-mediated neutrophil activation in lactating dairy goats[J].British Journal of Nutrition, 2023, 129(3):369-380.
[10] 刘玲玲, 吕士鹏, 方超，等.哈萨克马泌乳曲线的拟合研究[J].中国畜牧杂志, 2020, 56(8):91-94.LIU L L, LYU S P, FANG C, et al.Study on the fitting of the lactation curve of Kazakh horse[J].Chinese Journal of Animal Science, 2020, 56(8):91-94.(in Chinese)
[11] 高程程.新疆伊犁马泌乳规律及泌乳产量影响因素的研究[D].乌鲁木齐:新疆农业大学, 2017.GAO C C.Research on the lactation pattern and factors affecting lactation yield of Yili horses in Xinjiang [D].Urumqi:Xinjiang Agricultural University, 2017.(in Chinese)
[12] WOLF J B W.Principles of transcriptome analysis and gene expression quantification:An RNA-Seq tutorial[J].Molecular Ecology Resources, 2013, 13(4):559-572.
[13] ORTNER N J, SAH A, PARADISO E, et al.The human channel gating-modifying A749G CACNA1D (Cav1.3) variant induces a neurodevelopmental syndrome-like phenotype in mice[J]. JCI Insight, 2023, 8(20):e162100.
[14] RAHMAN J U, KUMAR D, SINGH S P, et al.Genome-wide identification and annotation of SNPs and their mapping in candidate genes related to milk production and fertility traits in Badri cattle[J].Tropical Animal Health and Production, 2023, 55(2):117.
[15] ORTNER N J, KASERER T, COPELAND J N, et al.De novo CACAN1D Ca²⁺channelopathies:Clinical phenotypes and molecular mechanism[J].European Journal of Physiology, 2020, 472:755-773.
[16] MCKERR N, MOHD-SARIP A, DORRIAN H, et al.CACNA1D overexpression and voltage-gated calcium channels in prostate cancer during androgen deprivation[J].Scientific Reports, 2023, 13(1):4683.
[17] BAKER M R, LEE A S, RAJADHYAKSHA A M.L-type calcium channels and neuropsychiatric diseases:Insights into genetic risk variant-associated genomic regulation and impact on brain development[J].Channels, 2023, 17(1):2176984.
[18] LAODIM T, ELZO M A, KOONAWOOTRITTRIRON S, et al.Pathway enrichment and protein interaction network analysis for milk yield, fat yield and age at first calving in a Thai multibreed dairy population[J].Asian-Australasian Journal of Animal Sciences, 2019, 32(4):508.
[19] FAN Y, ARBAB A A I, ZHANG H, et al.Lactation associated genes revealed in Holstein dairy cows by weighted gene co-expression network analysis (WGCNA)[J].Animals, 2021, 11(2):314.
[20] STEWART T A, HUGHES K, STEVENSON A J, et al.Mammary mechanobiology-investigating roles for mechanically activated ion channels in lactation and involution[J].Journal of Cell Science, 2021, 134(1):jcs248849.
[21] GOLAN Y, ASSARAF Y G.Genetic and physiological factors affecting human milk production and composition[J].Nutrients, 2020, 12(5):1500.
[22] DAI W, WHITE R, LIU J, et al.Organelles coordinate milk production and secretion during lactation:Insights into mammary pathologies[J].Progress in Lipid Research, 2022, 86:101159.
[23] NEVILLE M C, KAMIKAWA A, WEBB P, et al.Transporters in the lactating mammary epithelium[J].Ion Transport Across Epithelial Tissues and Disease, 2020(2):177-239.
[24] DURAN C, THOMPSON C H, XIAO Q, et al.Chloride channels:Often enigmatic, rarely predictable[J].Annual Review of Physiology, 2010, 72:95-121.
[25] ZIOMKIEWICZ A, BABISZEWSKA M, APANASEWICZ A, et al.Psychosocial stress and cortisol stress reactivity predict breast milk composition[J].Scientific Reports, 2021, 11(1):11576.
[26] ZAMUNER F, CAMERON A W N, CARPENTER E K, et al.Endocrine and metabolic responses to glucose, insulin, and adrenocorticotropin infusions in early-lactation dairy goats of high and low milk yield[J]. Journal of Dairy Science, 2020, 103(12):12045-12058.
[27] BOMFIM G F, MERIGHE G K F, DE OLIVEIRA S A, et al.Acute and chronic effects of cortisol on milk yield, the expression of key receptors, and apoptosis of mammary epithelial cells in Saanen goats[J]. Journal of Dairy Science, 2022, 105(1):818-830.
[28] BARBATO O, DE FELICE E, TODINI L, et al.Effects of feed supplementation on nesfatin-1, insulin, glucagon, leptin, T3, cortisol, and BCS in milking ewes grazing on semi-natural pastures[J].Animals, 2021, 11(3):682.
[29] MA X, LIU H, JIA Q, et al.Diverse roles of glucocorticoids in the ruminant mammary gland:Modulation of mammary growth, milk production, and mastitis[J].Stress, 2023, 26(1):2252938.
[30] EVANS T I A, JOO N S, KEISER N W, et al.Glandular proteome identifies antiprotease cystatin C as a critical modulator of airway hydration and clearance[J].American Journal of Respiratory, 2016, 54(4):469-481.
[31] NI Y, CHEN Q, CAI J, et al.Three lactation-related hormones:Regulation of hypothalamus-pituitary axis and function on lactation[J].Molecular and Cellular Endocrinology, 2021, 520:111084.
[32] TENG Z W, YANG G Q, WANG L F, et al.Effects of the circadian rhythm on milk composition in dairy cows[J].Journal of Dairy Science, 2021, 104(7):8301-8313.
[33] CASEY T M, PLAUT K, BOERMAN J.Circadian clocks and their role in lactation competence[J].Domestic Animal Endocrinology, 2022, 78:106680.
[34] SUAREZ-TRUJILLO A, WERNERT G, SUN H, et al.Exposure to chronic light-dark phase shifts during the prepartum nonlactating period attenuates circadian rhythms, decreases blood glucose, and increases milk yield in the subsequent lactation[J].Journal of Dairy Science, 2020, 103(3):2784-2799.
[35] NEVILLE M C, DEMERATH E W, HAHN-HOLBROOK J, et al.Parental factors that impact the ecology of human mammary development, milk secretion, and milk composition—A report from 'Breastmilk Ecology:Genesis of Infant Nutrition (BEGIN)’ Working Group 1[J].The American Journal of Clinical Nutrition, 2023, 117:S11-S27.
[36] GUO H, LI J, WANG Y, et al.Progress in research on key factors regulating lactation initiation in the mammary glands of dairy cows[J].Genes, 2023, 14(6):1163.
[37] STEFANSKA B, SOBOLEWSKA P, FIEVEZ V, et al.The impact of heat stress on performance, fertility, and adipokines involved in regulating systemic immune response during lipolysis of early lactating dairy cows[J].Journal of Dairy Science, 2024, 107(4):2111-2128.
[38] TANG Y, ZHANG J, LI W, et al.Identification and characterization of whole blood gene expression and splicing quantitative trait loci during early to mid-lactation of dairy cattle[J].BMC Genomics, 2024, 25(1):445.
[39] WANG W, WANG S, WANG H, et al.Protein dynamic landscape during mouse mammary gland development from virgin to pregnant, lactating, and involuting stages[J].Journal of Agricultural and Food Chemistry, 2024, 72(13):7546-7557.
[40] YASUDA R, HAYASHI Y, HELL J W.A central molecular organizer of synaptic plasticity, learning and memory[J].Nature Reviews Neuroscience, 2022, 23(11):666-682.

Screening of Genes Related to Lactation in Kazakh Horses Based on Transcriptomic

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	XIA Minglong, XIAO Yintao, ZHENG Saizhen, TAN Bie, YIN Yulong, CHEN Jiashun, YIN Jie. Analysis of Differentially Expressed Genes and Regulatory Pathways in Intramuscular Fat Deposition of Ningxiang Pigs at Different Developmental Stages [J]. China Animal Husbandry and Veterinary Medicine, 2024, 51(9): 3703-3714.
[2]	MA Sijia, ZHAO Zhengwei, WANG Jin, MA Lina. Discovering Key Genes in Hair Follicle Development of Tan Sheep at Different Days of Age Based on Transcriptome Data [J]. China Animal Husbandry and Veterinary Medicine, 2024, 51(9): 3726-3738.
[3]	JI Hongjin, YE Qiannan, LI Wenlong, LI Zhipeng, FENG Xia, MI Siyuan, SHI Yuanjun, ZHANG Jinning, GUO Jian, YU Ying. Screening of Key Homologous Genes for Bovine Fertility Based on High Folic Acid Mouse Testicular Transcriptome [J]. China Animal Husbandry and Veterinary Medicine, 2024, 51(7): 2751-2765.
[4]	TIAN Zuoning, XING Kai, ZHANG Yinhua, BAO Shuai, CAO Yongchun. Identification of Differentially Expressed Genes Affecting Meat Quality Traits in Pigs Using Integrated Transcriptome Sequencing Data [J]. China Animal Husbandry and Veterinary Medicine, 2024, 51(5): 1947-1957.
[5]	MA Sufang, YANG Wenqing, ZHANG Bingbing, GUO Ruonan, XU Yingxin, ZHANG Linlin, GUO Yiwen, HU Debao, GUO Hong, DING Xiangbin, LI Xin. Joint Analysis of Transcriptome and Translatome During the Development of Bovine Skeletal Muscle Satellite Cells [J]. China Animal Husbandry and Veterinary Medicine, 2024, 51(11): 4665-4677.
[6]	PAN Dongxia, WANG Hui, XIONG Benhai, TANG Xiangfang. Research Progress on CRISPR-Cas9 Gene Editing Technology in Cattle and Sheep Production [J]. China Animal Husbandry and Veterinary Medicine, 2024, 51(11): 4880-4889.
[7]	CHEN Hongling, ZHAO Yi, CHEN Jiaji, WEI Qiuxu, LI Ximeng, FENG Guoyue, HU Kunxiang, HU Tingjun. Transcriptomic Analysis of 3D4/2 Cells Infected with Porcine Circovirus Type Ⅱ [J]. China Animal Husbandry and Veterinary Medicine, 2024, 51(1): 42-51.
[8]	LIU Yu, ZHANG Linlin, FANG Yi, ZHANG Jinlong, LI Yihai, ZHONG Rongzhen, SHENG Jiahai, HE Yongxiang, GUO Xiaofei, ZHANG Xiaosheng. Polymorphism of STAT5a Gene Intron 10 and Its Association with Lactation Traits in Hu Sheep [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(9): 3680-3687.
[9]	LIN Lefeng, DIAO Yunfei, FAN Bingfeng, LIU Lixiang, SHAO Jing, ZHAO Xiangyuan, XU Baozeng. Transcriptome Analysis of Aging Sika Deer (Cervus nippon) Ovaries Based on High-throughput Sequencing [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(8): 3157-3170.
[10]	YAO Huaibing, LI Na, LIANG Xiaorui, HAO Zelin, YAN Hui, ZHAO Zhongkai, LIU Ying, MA Qiang, WANG Yuzhuo, CHEN Gangliang, YANG Jie. Determination and Correlation of Milk Production Traits with Body Size,Body Weight and Blood Physicochemical Indicators in Camelus bactrianus in Xinjiang [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(8): 3210-3220.
[11]	NI Ligang, ZHOU Chunbao, XU Pan, ZHANG Yaqin, TAO Yong, ZHANG Junsheng. Analysis of Differentially Expressed Genes and Regulation Pathway of Backfat Tissue in Sujiang Pigs at Different Growth Stages [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(7): 2595-2605.
[12]	YAN Hang, HAO Wen, WANG Chengqian, WANG Huie. Differentially Expressed Genes and Bioinformatics Analysis of Superovulation Ovary in Sheep [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(7): 2740-2754.
[13]	ZHANG Xinke, ZHU Xuedan, CHEN Yun, ZHANG Shouquan. Research Progress on Bone Mineral Density and Its Relationship with Mammalian Production [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(4): 1422-1433.
[14]	SUN Yanyong, MA Fengying, GUO Lili, LIU Zaixia, LIU Bin, ZHANG Wenguang, LIU Yongbin. Advances on the Application of Animal Blood Transcriptome [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(2): 460-468.
[15]	JIA Chunyan, SUN Yanyong, BAO Yonghong, ZHANG Wenguang. Bioinformatics Analysis of mRNA and lncRNA Gene Clusters and Key Signal Pathways Regulating Cashmere Growth [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(11): 4311-4324.