苏博美利奴羊毛囊发育相关lncRNA与mRNA共表达网络的构建

doi:10.3864/j.issn.0578-1752.2019.19.016

中国农业科学 ›› 2019, Vol. 52 ›› Issue (19): 3471-3484.doi: 10.3864/j.issn.0578-1752.2019.19.016

• 畜牧·兽医·资源昆虫 • 上一篇下一篇

苏博美利奴羊毛囊发育相关lncRNA与mRNA共表达网络的构建

陈华峰^1,²,田可川²(),黄锡霞¹(),阿布来提·苏来曼¹,何军敏³,田月珍²,徐新明²,付雪峰²,赵冰茹⁴,朱桦¹,哈尼克孜·吐拉甫²

¹ 新疆农业大学动物科学学院,乌鲁木齐 830052
² 新疆畜牧科学院畜牧研究所,乌鲁木齐 830011
³ 甘肃农业大学动物科学技术学院,兰州 730070
⁴ 中国农业大学动物科技学院,北京 100083

收稿日期:2018-12-19 接受日期:2019-07-03 出版日期:2019-10-01 发布日期:2019-10-11
通讯作者: 田可川,黄锡霞
作者简介:陈华峰,E-mail：1504159731@qq.com。
基金资助:
国家自然科学基金(31460593);国家自然科学基金(31360543);国家现代农业产业技术体系建设项目(CARS-40);新疆绒毛用羊遗传育种与繁殖自治区重点实验室项目(XJYS1105);新疆农业大学研究生科研创新项目(XJAUGRI-2017013)

Construction of Co-expression Network of lncRNA and mRNA Related to Hair Follicle Development of Subo Merino Sheep

CHEN HuaFeng^1,²,TIAN KeChuan²(),HUANG XiXia¹(),Ablat Sulayman¹,HE JunMin³,TIAN YueZhen²,XU XinMing²,FU XueFeng²,ZHAO BingRu⁴,ZHU Hua¹,Hanikezi Tulafu²

¹ College of Animal Science, Xinjiang Agricultural University, Urumqi 830052
² Institute of Animal Science, Xinjiang Academy of Animal Science, Urumqi 830011
³ College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070
⁴ College of Animal Science and Technology, China Agricultural University, Beijing 100083

Received:2018-12-19 Accepted:2019-07-03 Online:2019-10-01 Published:2019-10-11
Contact: KeChuan TIAN,XiXia HUANG

摘要/Abstract

摘要：

【目的】 随着高通量测序技术的发展和完善,海量的转录组测序数据随之涌现,基因网络的方法也越来越多被用于研究中;细毛羊毛囊发育受多个基因及lncRNA共同调控,单独研究某一分子并不足以发现其调控机制,本研究旨在构建毛囊发育相关lncRNA和mRNA的共表达网络,挖掘细毛羊毛囊发育的潜在候选基因。【方法】 以苏博美利奴羊胎龄65 d（D65）、85 d（D85）、105 d（D105）、135 d（D135）的胎儿以及出生后7 d（A7）、30 d（A30）的羔羊肩胛部皮肤组织,每个时期有3个生物学重复,共18个样本,进行转录组测序以获得6个不同发育时期的lncRNA与mRNA表达谱数据,筛选出相邻时期的差异表达lncRNA与mRNA,运用加权基因共表达网络分析（weighted gene co-expression network analysis,WGCNA）方法构建共表达模块,使用DAVID在线工具进行GO（gene ontology）和 KEGG pathway富集分析以找到与毛囊发育相关的模块,最后从目标模块筛选高连通度的lncRNA与mRNA使用Cytoscape软件进行网络可视化。【结果】 从表达谱数据中筛选得到9 070个差异表达的lncRNA与mRNA,运用WGCNA方法得到11个模块,使用DAVID富集分析发现honeydew1、paleturquoise、skyblue2模块中的基因富集在皮肤发育、毛囊发育、毛囊形态发生、Wnt信号通路负调控、细胞粘附等生物过程,以及Wnt信号通路、TGF-β信号通路、Hedgehog信号通路、紧密连接、MAPK信号通路、ECM-受体相互作用等毛囊发育相关的信号通路,并筛选这3个模块中连通度高的lncRNA和mRNA构建了子网络,得到包括TGFB2、CTSB、SFN、SPINT1、FAM83G、GSDMA、MPZL3、VIM、CRABP1在内的毛囊发育相关基因,预测出ENSOART00000029117、TCONS_00489976、TCONS_00376759等24个lncRNA的可能靶基因。【结论】 首次运用WGCNA方法构建了苏博美利奴羊毛囊发育相关lncRNA与mRNA的共表达网络,鉴别出3个毛囊发育相关的共表达模块,发现多个与毛囊发育相关的潜在候选基因,并预测出24个lncRNA可能的靶基因。

关键词: 苏博美利奴羊, WGCNA, mRNA, lncRNA, 毛囊发育

Abstract:

【Objective】 With the development and improvement of high-throughput sequencing technology, massive transcriptome sequencing data has emerged, and more and more methods of gene network have been used in research; the hair follicles development of fine wool sheep is regulated by multiple genes and lncRNAs. It is not enough to study a certain molecule alone to discover its regulatory mechanism. The aim of this study was to construct a co-expression network of lncRNAs and mRNAs related to hair follicle development, and to explore potential candidate genes for hair follicle development. 【Method】 The study was performed on fetal skin tissues of the 65th, 85th, 105th, and 135th days and lambs skin tissues of the 7th and 30th days from Subo Merino sheep, with 3 biological replicates in each period, a total of 18 samples were sequenced by transcriptome to obtain lncRNAs and mRNAs expression profiles of 6 different developmental stages, and the differential expressed lncRNAs and mRNAs in adjacent periods was screened to construct a co-expression module by Weighted Gene Co-expression Network Analysis (WGCNA) method, and GO (Gene Ontology) and KEGG pathway enrichment analysis of DAVID online tool was used to find hair follicle related modules. Finally, the high-interconnect lncRNAs and mRNAs were screened from the target module for network visualization using Cytoscape software.【Result】 From the expression profile data, 9070 differentially expressed lncRNAs and mRNAs were screened, and 11 modules were obtained by WGCNA method. The DAVID enrichment analysis revealed that the genes in the honeydew1 module, paleturquoise module, and skyblue2 module were involved in biological processes such as skin development, hair follicle development, hair follicle morphogenesis, negative regulation of Wnt signaling pathway, and cell adhesion, et al; and the signaling pathways involved in hair follicle development such as Wnt signaling pathway, TGF-β signaling pathway, Hedgehog signaling pathway, tight junction, MAPK signaling pathway, ECM-receptor interaction, et al. The sub-networks of lncRNAs and mRNAs with high connectivity were screened in these 3 modules, and the hair follicle development related genes including TGFB2, CTSB, SFN, SPINT1, FAM83G, GSDMA, MPZL3, VIM and CRABP1 were obtained, and possible target genes of 24 lncRNAs including ENSOART00000029117, TCONS_00489976, TCONS_00376759 were predicted.【Conclusion】 In this study, we first constructed a co-expression network of lncRNAs and mRNAs related to the hair follicles development of Subo merino sheep using WGCNA method, identified 3 co-expression modules related to hair follicle development, and found several potential candidate genes related to hair follicle development, and predicted possible target genes of 24 lncRNAs.

Key words: Subo Merino sheep, WGCNA, mRNA, lncRNA, hair follicle development

陈华峰,田可川,黄锡霞,阿布来提·苏来曼,何军敏,田月珍,徐新明,付雪峰,赵冰茹,朱桦,哈尼克孜·吐拉甫. 苏博美利奴羊毛囊发育相关lncRNA与mRNA共表达网络的构建[J]. 中国农业科学, 2019, 52(19): 3471-3484.

CHEN HuaFeng,TIAN KeChuan,HUANG XiXia,Ablat Sulayman,HE JunMin,TIAN YueZhen,XU XinMing,FU XueFeng,ZHAO BingRu,ZHU Hua,Hanikezi Tulafu. Construction of Co-expression Network of lncRNA and mRNA Related to Hair Follicle Development of Subo Merino Sheep[J]. Scientia Agricultura Sinica, 2019, 52(19): 3471-3484.

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参考文献 32

[1]	汪涛, 蒋庆华, 彭佳杰, 王亚东 . 基因共表达网络的构建及分析方法研究综述. 智能计算机与应用, 2014,4(6):47-50.
	WANG T, JIANG Q H, PENG J J, WANG Y D . A review of the construction and analysis of gene co-expression network. Intelligent Computer and Applications, 2014,4(6):47-50.(in Chinese)
[2]	ZHANG L C, SUN F L, JIN H G, DALRYMPLE B P, CAO Y, WEI T, VUOCOLO T, ZHANG M X, PIAO Q L, INGHAM A B . A comparison of transcriptomic patterns measured in the skin of Chinese fine and coarse wool sheep breeds. Scientific Reports, 2017,7(1):14301-14312.
[3]	柳楠, 田可川, 石国庆, 贺建宁, 刘积凤, 狄江, 杨永林 . 苏博美利奴羊核心群级进杂交不同世代对产毛性状影响的研究. 中国畜牧杂志, 2015,51(15):6-10.
	LIU N, TIAN K C, SHI G Q, HE J N, LIU J F, DI J, YANG Y L . Effect of different generations on wool traits during upgrading cross stages in subo merino nuleus herd. Chinese Journal of Animal Science, 2015,51(15):6-10.(in Chinese)
[4]	张立春, 尹峰, 柳俭强, 李梦姝, 王春昕, 曹阳, 朴庆林, 金海国, 张明新 . 绵羊FGF5基因Exon 3多态性对毛用性状的影响. 中国草食动物科学, 2018,38(06):1-5.
	ZHANG L C, YIN F, LIU J Q, LI M S, WANG C X, CAO Y, PIAO Q L, JIN H G, ZHANG M X . Relationship between polymorphisms of FGF5 gene Exon 3 and wool traits. China Herbivore Science, 2018,38(06):1-5.(in Chinese)
[5]	付雪峰, 黄锡霞, 刘春洁, 徐新明, 张艳花, 吴伟伟, 于丽娟, 石刚, 田可川 . 不同羊毛纤维直径细毛羊MYL6基因克隆及差异表达研究. 中国畜牧杂志, 2016,52(13):5-11.
	FU X F, HUANG X X, LIU C J, XU X M, ZHANG Y H, WU W W, YU L J, SHI G, TIAN K C . Study on clone and differential expression of MYL6 gene in fine-wool sheep with different fiber diameter. Chinese Journal of Animal Science, 2016,52(13):5-11.(in Chinese)
[6]	朱桦, 潘家华, 徐新明, 付雪峰, 田月珍, 阿布来提·苏来曼, 黄锡霞, 田可川 . Dsg4基因在苏博美利奴羊毛囊发育不同时期及不同组织中的表达差异. 中国畜牧杂志, 2018,54(10):47-51.
	ZHU H, PAN J H, XU X M, FU X F, TIAN Y Z, ABLAT S, HUANG X X, CHUANTIAN K . Differential expression of Dsg4 gene in different stages of hair follicles development and different tissues in Subo Merino sheep. Chinese Journal of Animal Science, 2018,54(10):47-51.(in Chinese)
[7]	ZHANG B, HORVATH S . A general framework for weighted gene co-expression network analysis. Statistical Applications in Genetics and Molecular Biology, 2005,4(1):1-37.
[8]	LANGFELDER P, HORVATH S . WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics, 2008,9(1):559-571.
[9]	阿布来提·苏来曼, 田月珍, 许琴, 何军敏, 赵冰茹, 徐新明, 付雪峰, 热娜古丽·艾尼瓦尔江, 黄锡霞, 田可川 . 苏博美利奴羊胎儿皮肤毛囊结构及形态发育. 中国农业科学, 2017,50(16):3226-3235. doi: 10.3864/j.issn.0578-1752.2017.16.017
	ABLAT S, TIAN Y Z, XU Q, HE J M, ZHAO B R, XU X M, FU X F, RANAGUL A, HUANG X X, TIAN K C . Study on fetal skin hair follicle structure and morphological development of Subo Merino sheep. Scientia Agricultura Sinica, 2017,50(16):3226-3235.(in Chinese) doi: 10.3864/j.issn.0578-1752.2017.16.017
[10]	MORTAZAVI A, WILLIAMS B A, MCCUE K, SCHAEFFER L, WOLD B . Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nature Methods, 2008, 5(7):621-628.
[11]	ROBINSON M D, MCCARTHY D J, SMYTH G K . edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics, 2010,26(1):139-140.
[12]	HUANG D W, SHERMAN B T, LEMPICKI R A . Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature Protocols, 2009,4(1):44-57.
[13]	哈德利·威克姆 . ggplot2:数据分析与图形艺术. 西安: 西安交通大学出版社, 2013.
	HADLEY W. ggplot2. Elegant Graphics for Data Analysis. Xi'an: Xi'an Jiaotong University Press, 2013.( in Chinese)
[14]	CHEN Y C, GUO Y F, HE H, LIN X, WANG X F, ZHOU R, LI W T, PAN D Y, SHEN J, DENG H W . Integrative analysis of genomics and transcriptome data to identify potential functional genes of BMDs in females. Journal of Bone and Mineral Research, 2016,31(5):1041-1049.
[15]	SHANNON P, MARKIEL A, OZIER O, BALIGA N S, WANG J T, RAMAGE D, AMIN N, SCHWIKOWSKI B, IDEKER T . Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Research, 2003,13(11):2498-2504.
[16]	魏凯, 张婷婷, 马磊 . 猪基因共表达网络模块的构建及功能分析. 畜牧兽医学报, 2017,48(11):2205-2215.
	WEI K, ZHANG T T, MA L . Construction and functional analysis of gene co-expression network modules. Acta Veterinaria et Zootechnica Sinica, 2017,48(11):2205-2215.(in Chinese)
[17]	MIAO X Y, LUO Q M, ZHAO H J, QIN X Y . Co-expression analysis and identification of fecundity-related long non-coding RNAs in sheep ovaries. Scientific Reports, 2016, 6(1):39398-39407.
[18]	XU L Y, ZHAO F P, REN H X, LI L, LU J, LIU J S, ZHANG S F, LIU G E, SONG J Z, ZHANG L, WEI C H, DU L X . Co-expression analysis of fetal weight-related genes in ovine skeletal muscle during mid and late fetal development stages. International Journal of Biological Sciences, 2014,10(9):1039-1050.
[19]	PACHOLEWSKA A, MARTI E, LEEB T, JAGANNATHAN V, GERBER V . LPS-induced modules of co-expressed genes in equine peripheral blood mononuclear cells. BMC Genomics, 2017,18(1):34-45.
[20]	OSHIMORI N, FUCHS E . Paracrine TGF-beta signaling counterbalances BMP-mediated repression in hair follicle stem cell activation. Stem Cell, 2012,10(1):63-75.
[21]	OORTVELD M A W, VAN VLIJMEN WILLEMS I M J J, KERSTEN F F J, CHENG T, VERDOES M, VAN ERP P E J, VERBEEK S, REINHECKEL T, HENDRIKS W J A J, SCHALKWIJK J, ZEEUWEN P L J M . Cathepsin B as a potential cystatin M/E target in the mouse hair follicle. Faseb Journal, 2017,31(10):4286-4294.
[22]	HAMMOND N L, HEADON D J, DIXON M J . The cell cycle regulator protein 14-3-3sigma is essential for hair follicle integrity and epidermal homeostasis. Journal of Investigative Dermatology, 2012, 132(6):1543-1553.
[23]	卜然, 李晶, 刘开东, 刘积凤, 柳楠 . 细毛羊肩颈部与腹部皮肤组织SFN基因差异表达的研究. 黑龙江畜牧兽医, 2014(19):80-82.
	BU R, LI J, LIU K D, LIU J F, LIU N . Study on the differential expression of the SFN gene in the skin tissues of the shoulder /neck and abdomen in fine-wool sheep. Heilongjiang Animal Science and Veterinary Medicine, 2014(19):80-82.(in Chinese)
[24]	NAGAIKE K, KAWAGUCHI M, TAKEDA N, FUKUSHIMA T, SAWAGUCHI A, KOHAMA K, SETOYAMA M, KATAOKA H . Defect of hepatocyte growth factor activator inhibitor type 1/serine protease inhibitor, Kunitz type 1 (Hai-1/Spint1) leads to ichthyosis- like condition and abnormal hair development in mice. American Journal of Pathology, 2008,173(5):1464-1475.
[25]	BALMER P, FELLAY A K, SAYAR B S, HARITON W V J, WIENER D J, GALICHET A, MULLER E J, ROOSJE P J . FAM83G/ Fam83g genetic variants affect canine and murine hair formation. Experimental Dermatology, 2018,28(4):13729-13738.
[26]	任亮 . 藏系绵羊GSDMA基因皮肤特异表达载体的构建[D]. 成都: 西南民族大学, 2015.
	REN L . Construction of skin-specific expression vector for GSDMA gene of Tibetan sheep[D]. Chengdu: Southwest Minzu University, 2015.( in Chinese)
[27]	杨雪 . 牦牛皮肤毛囊周期性结构变化规律及其相关调控因子的研究[D]. 兰州: 甘肃农业大学, 2017.
	YANG X . Study on histological characteristics of hair follicle and expression pattern of related factors in the skin during hair cycle in yak[D]. Lanzhou: Gansu Agricultural University, 2017.( in Chinese)
[28]	LEI M X, XIANG G, LI Y, TIAN Y, LIAN X H . Gsdma3 gene is needed for the induction of apoptosis-driven catagen during mouse hair follicle cycle. Histochemistry & Cell Biology, 2011,136(3):335-343.
[29]	LEIVA A G, CHEN A L, DEVARAJAN P, CHEN Z, DAMANPOUR S, HALL J A, BIANCO A C, LI J, BADIAVAS E V, ZAIAS J, MITEVA M, ROMANELLI P, NOURI K, CAO WIKRAMANAYAKE T . Loss of Mpzl3 function causes various skin abnormalities and greatly reduced adipose depots. Journal of Investigative Dermatology, 2014, 134(7):1817-1827.
[30]	RILE N, LIU Z H, GAO L X, QI J K, ZHAO M, XIE Y C, SU R, ZHANG Y J, WANG R J, LI J, XIAO H M, LI J Q . Expression of vimentin in hair follicle growth cycle of inner Mongolian cashmere goats. BMC Genomics, 2018,19(1):38-45.
[31]	COLLINS C A, WATT F M . Dynamic regulation of retinoic acid-binding proteins in developing, adult and neoplastic skin reveals roles for beta-catenin and Notch signalling. Developmental Biology, 2008,324(1):55-67.
[32]	YAN P X, LUO S, LU J Y Y, SHEN X H . Cis- and trans-acting lncRNAs in pluripotency and reprogramming. Current Opinion in Genetics & Development, 2017,46:170-178.

	D85 vs. D65	D105 vs. D85	D135 vs. D105	A7 vs. D135	A30 vs. A7	去重复 Deduplication
差异表达lncRNA数 No. DE lncRNAs	35	55	46	43	25	140
差异表达已知mRNA数 No. DE known mRNAs	1562	2302	1520	699	166	4372
差异表达novel mRNA数 No. DE novel mRNAs	1762	2066	611	842	28	4558

	mRNA	新mRNA Novel mRNA	lncRNA	总计 Total
bisque4	55	8	2	65
brown4	66	2	0	68
cyan	309	120	6	435
darkolivegreen	24	217	1	242
darkorange	206	1402	13	1621
greenyellow	380	151	6	537
grey	224	206	33	463
honeydew1	665	1188	14	1867
paleturquoise	1483	265	38	1786
skyblue2	890	980	23	1893
steelblue	70	19	4	93

模块 Module	ID	GO条目 GO Term	基因数 No. genes	P值 P value	基因 Genes
honeydew1	GO:0090090	经典Wnt信号通路负调控 Negative regulation of canonical Wnt signaling pathway	12	4.26E-06	WNT5A, CTHRC1, SOX10, NOG, SOST, SFRP2, DRAXIN, SOX2, LIMD1, LRP4, MLLT3, GLI1
	GO:0043588	皮肤发育 Skin development	6	5.74E-04	FRAS1, TFAP2B, PTCH2, LTB, COL5A2, COL5A1
	GO:0050680	上皮细胞增殖负调控 Negative regulation of epithelial cell proliferation	6	3.77E-03	WNT5A, HPN, SFRP2, SOX2, PTCH1, TGFB2
	GO:0001942	毛囊发育 Hair follicle development	5	7.28E-03	INHBA, EDAR, ALX4, LRP4, TGFB2
	GO:0030514	BMP信号通路负调控 Negative regulation of BMP signaling pathway	5	1.28E-02	WNT5A, NOG, SOST, BMPER, SFRP2
	GO:0007155	细胞粘附 Cell adhesion	8	2.24E-02	LAMA1, HES5, TLN2, ITGA11, CNTN2, CNTN4, THBS2, COL5A1
paleturquoise	GO:0043588	皮肤发育 Skin development	6	2.68E-02	KRT9, COL3A1, ITGB4, ADAMTS2, ASPRV1, DHCR24
	GO:0031069	毛囊形态发生 Hair follicle morphogenesis	5	1.89E-02	KRT25, KRT27, FOXE1, KRT71, TMEM79
	GO:0007173	表皮生长因子受体信号通路 Epidermal growth factor receptor signaling pathway	6	1.62E-02	FAM83B, EREG, HBEGF, TGFA, AREG, SOX9
	GO:0001942	毛囊发育 Hair follicle development	6	4.11E-02	DSG4, ZDHHC21, FOXN1, SOX9, DNASE1L2, LGR5
skyblue2	GO:0090090	经典Wnt信号通路负调控 Negative regulation of canonical Wnt signaling pathway	9	1.49E-02	WNT4, NOTCH1, WNT5B, SFRP4, FZD1, FOXO1, ISL1, FRZB, PTPRO
skyblue2	GO:0007155	细胞粘附 Cell adhesion	16	4.20E-05	CTNNAL1, HAPLN1, TNC, COL15A1, ITGA3, POSTN, STAB2, GRHL2, TNFAIP6, ITGA9, LYVE1, TGFBI, VCAN, CNTN3, NCAN, SPP1

模块 Module	ID	KEGG条目 KEGG Term	基因数 No. genes	P值 P value	基因 Genes
honeydew1	oas04512	ECM-受体相互作用 ECM-receptor interaction	6	2.30E-02	LAMA1, ITGA11, COL2A1, THBS2, COL5A2, COL5A1
	oas04510	粘着力 Focal adhesion	11	4.72E-03	LAMA1, TLN2, PGF, ITGA11, PIK3R5, COL2A1, HGF, PIK3R3, THBS2, COL5A2, COL5A1
	oas04340	Hedgehog信号通路 Hedgehog signaling pathway	5	1.11E-03	PTCH1, PTCH2, HHIP, GLI2, GLI1
paleturquoise	oas04530	紧密连接 Tight junction	14	1.63E-02	CLDN8, PPP2R1B, PARD6B, CLDN4, MYL10, CLDN10, CLDN14, LLGL2, EPB41L3, IGSF5, CLDN1, MYH14, TJP3, MYH7B
paleturquoise	oas04010	MAPK信号通路 MAPK signaling pathway	24	4.05E-03	IL1R2, FGF5, MAPKAPK3, TGFB3, NR4A1, FGF22, FGF21, FGF12, FLNC, CACNA2D3, DUSP4, MAP3K6, FOS, MAP3K5, DUSP2, HSPA2, DUSP1, MAPK13, RPS6KA2, HSPB1, GADD45B, PLA2G4E, CD14, NGF
skyblue2	oas04512	ECM-受体相互作用 ECM-receptor interaction	18	6.93E-10	COL4A4, COL4A3, TNC, ITGA3, COL5A3, ITGA9, LAMB3, COL6A6, LAMC3, LAMA5, COL6A5, ITGB6, RELN, SV2A, THBS1, COL24A1, SPP1, FN1
skyblue2	oas04310	Wnt信号通路 Wnt signaling pathway	9	4.50E-02	WNT2, WNT10A, WNT4, WNT5B, DKK1, SFRP4, MMP7, FZD1, WIF1

	honeydew1		paleturquoise		skyblue2
	基因名Gene name	度Degree	基因名Gene name	度Degree	基因名Gene name	度Degree
mRNA	XLOC_170356	876	TEC	1462	XLOC_001041	915
	ANGPT1	861	GRHL1	1455	CDH11	909
	XLOC_074918	854	GSDMA	1451	POSTN	880
	XLOC_024093	833	CLDN4	1448	ENSOARG00000012813	842
	XLOC_106735	831	GABRP	1444	TNFAIP6	830
lncRNA	ENSOART00000029117	391	TCONS_00489976	1079	TCONS_00041508	481
	TCONS_00236664	104	TCONS_00346829	1074	TCONS_00008348	450
	TCONS_00041597	61	TCONS_00039510	958	TCONS_00352973	362
	TCONS_00453233	39	TCONS_00570568	876	TCONS_00497279	323
	TCONS_00351448	34	ENSOART00000027499	813	TCONS_00127951	225

苏博美利奴羊毛囊发育相关lncRNA与mRNA共表达网络的构建

Construction of Co-expression Network of lncRNA and mRNA Related to Hair Follicle Development of Subo Merino Sheep

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