China Animal Husbandry and Veterinary Medicine ›› 2023, Vol. 50 ›› Issue (2): 460-468.doi: 10.16431/j.cnki.1671-7236.2023.02.004
• Biotechnology • Previous Articles Next Articles
SUN Yanyong1,2, MA Fengying1, GUO Lili1, LIU Zaixia1, LIU Bin1, ZHANG Wenguang1, LIU Yongbin3
Received:
2022-07-11
Online:
2023-02-05
Published:
2023-02-06
CLC Number:
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.
[1] BRAGANZA A, ANNARAPU G K, SHIVA S. Blood-based bioenergetics: An emerging translational and clinical tool[J]. Molecular Aspects Medicine, 2020,71:100835. [2] CHAUSSABEL D, PASCUAL V, BANCHEREAU J. Assessing the human immune system through blood transcriptomics[J]. BMC Biology, 2010,8:84. [3] JEGOU M, GONDRET F, VINCENT A, et al. Whole blood transcriptomics is relevant to identify molecular changes in response to genetic selection for feed efficiency and nutritional status in the pig[J]. PLoS One, 2016,11(1):e0146550. [4] O’LOUGHLIN A, LYNN D J, MCGEE M, et al. Transcriptomic analysis of the stress response to weaning at housing in bovine leukocytes using RNA-Seq technology[J]. BMC Genomics, 2012,13(1):250. [5] DE LIMA V A B, HANSEN M, SPANGGAARD I, et al. Immune cell profiling of peripheral blood as signature for response during checkpoint inhibition across cancer types[J]. Frontiers in Oncology, 2021,11:11. [6] GRIFFITHS J I, WALLET P, PFLIEGER L T, et al. Circulating immune cell phenotype dynamics reflect the strength of tumor—Immune cell interactions in patients during immunotherapy[J]. Proceedings of the National Academy of Sciences, 2020,117:16072-16082. [7] CHURBANOV A, MILLIGAN B. Accurate diagnostics for bovine tuberculosis based on high-throughput sequencing[J]. PLoS One, 2012,7(11):e50147. [8] MCLOUGHLIN K E, NALPAS N C, RUE-ALBRECHT K, et al. RNA-Seq transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis[J]. Frontiers in Immunology, 2014,5:396. [9] CHENG Y, CHOU C H, TSAI H J. In vitro gene expression profile of bovine peripheral blood mononuclear cells in early Mycobacterium bovis infection[J]. Experimental and Therapeutic Medicine, 2015,10(6):2102-2118. [10] MCLOUGHLIN K E, CORREIA C N, BROWNE J A, et al. RNA-Seq transcriptome analysis of peripheral blood from cattle infected with Mycobacterium bovis across an experimental time course[J]. Frontiers in Veterinary Science, 2021,8:662002. [11] WIARDA J E, BOGGIATTO P M, BAYLES D O, et al. Severity of bovine tuberculosis is associated with innate immune-biased transcriptional signatures of whole blood in early weeks after experimental Mycobacterium bovis infection[J]. PLoS One, 2020,15(11):e0239938. [12] JIMINEZ J, TIMSIT E, ORSEL K, et al. Whole-blood transcriptome analysis of feedlot cattle with and without bovine respiratory disease[J]. Frontiers in Genetics, 2021,12:627623. [13] SCOTT M A, WOOLUMS A R, SWIDERSKI C E, et al. Whole blood transcriptomic analysis of beef cattle at arrival identifies potential predictive molecules and mechanisms that indicate animals that naturally resist bovine respiratory disease[J]. PLoS One,2020,15(1):e0227507. [14] BUGGIOTTI L, CHENG Z, WATHES D C, et al. Mining the unmapped reads in bovine RNA-Seq data reveals the prevalence of Bovine herpes virus-6 in european dairy cows and the associated changes in their phenotype and leucocyte transcriptome[J]. Viruses, 2020,12(12):1451. [15] JOHNSTON D, EARLEY B, MCCABE M S, et al. Messenger RNA biomarkers of Bovine respiratory syncytial virus infection in the whole blood of dairy calves[J]. Scientific Reports, 2021,30;11(1):9392. [16] SCOTT M A, WOOLUMS A R, SWIDERSKI C E, et al. Comprehensive at-arrival transcriptomic analysis of post-weaned beef cattle uncovers type Ⅰ interferon and antiviral mechanisms associated with bovine respiratory disease mortality[J]. PLoS One, 2021,16(4):e0250758. [17] WU Z L, CHEN S Y, QIN C, et al. Clinical ketosis-associated alteration of gene expression in Holstein cows[J]. Genes (Basel), 2020,11(2):219. [18] BOUVIER M J, ALLAIN C, TABOURET G, et al. Whole blood transcriptome analysis reveals potential competition in metabolic pathways between negative energy balance and response to inflammatory challenge[J]. Scientific Reports, 2017,7(1):2379. [19] SANGLARD L P, NASCIMENTO M, MORIEL P, et al. Impact of energy restriction during late gestation on the muscle and blood transcriptome of beef calves after preconditioning[J]. BMC Genomics, 2018,19(1):702. [20] MUNYAKA P M, KOMMADATH A, FOUHSE J, et al. Characterization of whole blood transcriptome and early-life fecal microbiota in high and low responder pigs before, and after vaccination for Mycoplasma hyopneumoniae[J]. Vaccine, 2019, 37(13):1743-1755. [21] PAN X, MUK T, REN S, et al. Blood transcriptomic markers of necrotizing enterocolitis in preterm pigs[J]. Pediatric Research, 2022,91(5):1113-1120. [22] MARUYAMA S R, CARVALHO B, GONZALEZ-PPRTA M, et al. Blood transcriptome profile induced by an efficacious vaccine formulated with salivary antigens from cattle ticks[J]. NPJ Vaccines, 2019,4:53. [23] MESSAD F, LOUVEAU I, RENAUDEAU D, et al. Analysis of merged whole blood transcriptomic datasets to identify circulating molecular biomarkers of feed efficiency in growing pigs[J]. BMC Genomics, 2021,22(1):501. [24] IANNI A, BENNATO F, MARTINO C, et al. Whole blood transcriptome profiling reveals positive effects of olive leaves-supplemented diet on cholesterol in goats[J]. Animals (Basel), 2021,11(4):1150. [25] PAULETTO M, ELGENDY R, IANNI A, et al. Nutrigenomic effects of long-term grape pomace supplementation in dairy cows[J]. Animals (Basel), 2020,10(4):714. [26] RINALDI M, MORONI P, PAAPE M J, et al. Differential alterations in the ability of bovine neutrophils to generate extracellular and intracellular reactive oxygen species during the periparturient period[J]. Veterinary Journal, 2018,178(2):208-213. [27] OSTER M, JUST F, BUSING K, et al. Toward improved phosphorus efficiency in monogastrics-interplay of serum, minerals, bone, and immune system after divergent dietary phosphorus supply in swine[J]. American Journal of Physiology. Regulatory, Integrative and Comparative Physiology, 2016,310(10):R917-R925. [28] WANG D, JI M, ZHOU Q, et al. Transcriptomic analysis of circulating neutrophils in sheep with mineral element imbalance[J]. Biological Trace Element Research, 2022, 200(5):2135-2146. [29] IANNACCONE M, ELGENDY R, IANNI A, et al. Whole-transcriptome profiling of sheep fed with a high iodine-supplemented diet[J]. Animal, 2020,14(4):745-752. [30] IANNACCONE M, IANNI A, CONTALDI F, et al. Whole blood transcriptome analysis in ewes fed with hemp seed supplemented diet[J]. Sciectific Reports, 2019,9(1):16192. [31] CHIM S S C, WONG K K W, CHUNG C Y L, et al. Systematic selection of reference genes for the normalization of circulating RNA transcripts in pregnant women based on RNA-Seq data[J]. International Journal of Molecular Sciences, 2017,18:1709. [32] HUANG J, JIN N, QIN H, et al. Transcriptomic profiles in peripheral blood between women with unexplained recurrent implantation failure and recurrent miscarriage and the correlation with endometrium: A pilot study[J]. PLoS One, 2017,12:e0189159. [33] SHEN J, ZHOU C, ZHU S, et al. Comparative transcriptome analysis reveals early pregnancy-specific genes expressed in peripheral blood of pregnant sows[J]. PLoS One, 2014,9(12):e114036. [34] WOJCIECHOWICZ B, KOLAKOWSKA J, ZGLEJC-WASZAK K,et al. The whole blood transcriptome at the time of maternal recognition of pregnancy in pigs reflects certain alterations in gene expression within the endometrium and the myometrium[J]. Theriogenology, 2019,126:159-165. [35] DICKINSON S E, GRIFFIN B A, ELMORE M F, et al. Transcriptome profiles in peripheral white blood cells at the time of artificial insemination discriminate beef heifers with different fertility potential[J]. BMC Genomics, 2018,19(1):129. [36] WANG X, WU Z, ZHANG X. Isoform abundance inference provides a more accurate estimation of gene expression levels in RNA-Seq[J]. Journal of Bioinformatics and Computational Biology, 2010,177-192. [37] ZHENG X D, CHENG J, QIN W J, et al. Whole transcriptome analysis identifies the taxonomic status of a new chinese native cattle breed and reveals genes related to body size[J]. Frontiers in Genetics, 2020,11:562855. [38] SHEN H, LI C, HE M, et al. Whole blood transcriptome profiling identifies candidate genes associated with alopecia in male giant pandas (Ailuropoda melanoleuca)[J]. BMC Genomics, 2022,23(1):297. [39] 赵晨晨. 基于绒山羊血液转录组标记辅助管理研究[D].呼和浩特:内蒙古农业大学, 2021. ZHAO C C. Marker-assisted management research based on blood transcriptomic of cashmere goat[D].Hohhot:Inner Mongolia Agricultural University, 2021.(in Chinese) [40] 黄晓宇. 大熊猫不同年龄阶段血液转录组与基因组甲基化研究[D]. 雅安:四川农业大学, 2020. HUANG X Y. Study on blood transcriptome and genome-wide methylation of giant panda at different ages[D]. Ya’an:Sichuan Agricultural University, 2020.(in Chinese) [41] ZHONG Z, ZHU X, TANG Q, et al. Temporal microRNA expression profile of pig peripheral blood during postnatal development[J]. Animal Biotechnology, 2021,18:1-10. [42] RAMILO O, ALLMAN W, CHUNG W, et al. Gene expression patterns in blood leukocytes discriminate patients with acute infections[J]. Blood, 2007,109:2066-2077. [43] 杨秀峰. 基于高通量测序的狼和家犬血液转录组研究[D]. 曲阳:曲阜师范大学, 2016. YANG X F. Transcriptome study of wolf and domestic dog blood based on high-throughput sequencing[D].Quyang: Qufu Normal University, 2016.(in Chinese) [44] 刘广帅. 基于血液转录组分析的狼(Canis lupus)免疫系统和高原适应研究[D]. 哈尔滨:东北林业大学, 2017. LIU G S. Immune system and high-altitude adaptation study of wolf (Canis lupus) based on blood transcriptomic analysis[D]. Harbin:Northeast Forestry University, 2017.(in Chinese) [45] MACH N, GAO Y, LEMONNIER G, et al. The peripheral blood transcriptome reflects variations in immunity traits in swine: Towards the identification of biomarkers[J]. BMC Genomics, 2013,14:894. [46] 周瑞. 猪出生后不同生长发育阶段血液长链非编码RNA和mRNA全基因组表达谱分析[D]. 雅安:四川农业大学, 2020. ZHOU R. Expression profile analysis of long noncoding RNA and mRNA in the blood of pigs during postnatal development[D]. Ya’an:Sichuan Agricultural University, 2020.(in Chinese) [47] DU L, LI W, FAN Z, et al. First insights into the giant panda (Ailuropoda melanoleuca) blood transcriptome: A resource for novel gene loci and immunogenetics[J]. Molecular Ecology Resources, 2015,15(4):1001-1013. [48] 吴威,吴虹林,何鸣, 等. 血液转录组揭示大熊猫繁殖周期免疫变化[A]. 第八届中国西部动物学学术研讨会[C]. 2019. WU W, WU H L, HE M, et al. Blood transcriptome reveals immune changes during the reproductive cycle of giant pandas[A]. The 8th Western China Symposium on Zoology[C]. 2019.(in Chinese) [49] LI W, MAO L, SHU X, et al. Transcriptome analysis reveals differential immune related genes expression in Bovine viral diarrhea virus-2 infected goat peripheral blood mononuclear cells (PBMCs)[J]. BMC Genomics, 2019,20(1):516. [50] YANG M, HUANG Y, WU H, et al. Blood transcriptome analysis revealed the immune changes and immunological adaptation of wildness training giant pandas[J]. Molecular Genetics and Genomics, 2022,297(1):227-239. [51] KOLLI V, UPADHYAY R C, SINGH D. Peripheral blood leukocytes transcriptomic signature highlights the altered metabolic pathways by heat stress in Zebu cattle[J]. Research in Veterinary Science, 2014, 96(1):102-110. [52] 李麒. 短途运输应激对秦川牛血液生理生化的影响及血液转录组特征分析[D]. 杨凌:西北农林科技大学,2022. LI Q. Effects of short-distance transport stress on blood physiology and biochemistry of Qinchuan cattle and analysis of transcriptome characteristics[D].Yangling:Northwest A&F University, 2022.(in Chinese) [53] STEFANIUK-SZMUKIER M, ROPKA-MOLIK K, PIORKOWSKA K, et al. Transcriptomic hallmarks of bone remodelling revealed by RNA-Seq profiling in blood of Arabian horses during racing training regime[J]. Gene, 2018,676:256-262. [54] KIM S, PARK H T, SOH S H, et al. Evaluation of the immunobiological effects of a regenerative far-infrared heating system in pigs[J]. Journal of Veterinary Science, 2019,20(6):e61. |
[1] | LI Jie, CHEN Chuwen, ZHAO Ruipeng, LIU Yuan, LI Zhixiong. Research Progress on Long Non-coding RNA of Muscle Development in Livestock and Poultry [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(6): 2427-2438. |
[2] | GAO Yang, DU Xin, MA Xue, ZHANG Yingmei, HUO Changqing. Regulation of Resveratrol on Nrf2,NF-κB and Wnt Signaling Pathways and Its Application in Animals Production [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(2): 512-518. |
[3] | XU Jing, YANG Guang, JIANG Meiqi, DING Xiangbin, GUO Yiwen, HU Debao, LI Xin, GUO Hong, ZHANG Linlin. Research Advances on CRISPR/Cas9 Technology in Livestock and Poultry Breeding [J]. China Animal Husbandry and Veterinary Medicine, 2022, 49(4): 1374-1383. |
[4] | QIAO Chunyu, LIU Jiahe, ZHANG Boxi, HE Yuxi, ZHENG Yuwei, LYU Hongming. Research Progress on Pathogenic Mechanism and Control of Aflatoxin B1 [J]. China Animal Husbandry and Veterinary Medicine, 2022, 49(2): 765-775. |
[5] | YANG Xinbo, ZHANG Xiaoxuan, CAI Yanan, NI Hongbo, ZHAO Quan, MA He. Progress on Microbial Fermented Traditional Chinese Medicine and Its Application in Breeding Industry [J]. China Animal Husbandry and Veterinary Medicine, 2022, 49(1): 169-178. |
[6] | SHI Yuanjun, MI Siyuan, YU Ying. Research Progress on m6A Epigenetic Modification and Its Regulation Mechanism [J]. China Animal Husbandry and Veterinary Medicine, 2022, 49(1): 197-207. |
[7] | CHEN Jifa. Nutritional Characteristic of Tenebrio molitor and Its Application in Livestock and Poultry Diets [J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(7): 2424-2430. |
[8] | JING Zhenzhu, QIN Panpan, CHEN Bingjie, HOU Dan, WEI Chengjie, LI Tong, HAN Ruili, LIU Xiaojun, TIAN Yadong, KANG Xiangtao, LI Zhuanjian. Research Progress of Copy Number Variation in Livestock and Poultry [J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(7): 2512-2522. |
[9] | HE Weizhao, ZHANG Huiyan, WANG Hao, ZHAO Qingyu, TANG Chaohua, ZHANG Junmin. Extraction Methods of Yolk Antibody and Its Application in Prevention and Treatment of Bacterial Intestinal Diseases in Livestock and Poultry [J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(2): 640-649. |
[10] | XU Xi, YANG Sha, HAO Haisheng, DU Weihua, PANG Yunwei, ZHAO Shanjiang, ZOU Huiying, ZHU Huabin, LI Shujing, YU Wenli, ZHAO Xueming. Research Progress on Application of Single Base Editing Technology [J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(12): 4403-4411. |
[11] | SHANG Fangzheng, HAN Wenjing, WU Zhihong, HAI Erhan, MA Rong, ZHANG Yanjun, LI Jinquan. Research Advance on Application of Non-coding RNA in Livestock and Poultry [J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(1): 235-247. |
[12] | LU Qicheng, WU Yanyan, ZHANG Wenju. Biological Function,Mechanism of Action and Application of Saccharomyces boulardii [J]. China Animal Husbandry and Veterinary Medicine, 2020, 47(8): 2472-2480. |
[13] | FAN Lixia, YUAN Xuexia, LI Yuanyang, WU Yuanjuan, ZHAO Shancang, ZHANG Bingchun, WANG Wenbo. LAMP Detection and Drug Resistance Analysis to Staphylococcus aureus and Escherichia coli in Livestock and Poultry Manure [J]. China Animal Husbandry and Veterinary Medicine, 2020, 47(7): 2325-2335. |
[14] | TAN Keqin, TANG Jiahong, MA Xianyong, DENG Dun. Antibacterial Mechanism of Pediococcus and Its Application in Livestock and Poultry Production [J]. China Animal Husbandry and Veterinary Medicine, 2020, 47(10): 3203-3213. |
[15] | BAO Jingjing, ZHANG Li. Research Progress on Genomic Selection Methods in Livestock and Poultry [J]. China Animal Husbandry and Veterinary Medicine, 2020, 47(10): 3297-3304. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||