Integrated mRNA and miRNA transcriptome analysis provides novel insights into the molecular mechanisms underlying goose pituitary development during the embryo-to-hatchling transition

被引:3
作者
Ouyang, Qingyuan [1 ]
Hu, Shenqiang [1 ]
Li, Li [1 ]
Ran, Mingxia [1 ]
Zhu, Jiaran [1 ]
Zhao, Yiting [1 ]
Hu, Bo [1 ]
Hu, Jiwei [1 ]
He, Hua [1 ]
Li, Liang [1 ]
Wang, Jiwen [1 ]
机构
[1] Sichuan Agr Univ, Anim Genet Resources Explorat & Innovat Key Lab S, Chengdu 611130, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
goose; pituitary; embryo-to-hatchling transition; mRNA; miRNA; ANTERIOR-PITUITARY; THYROID DEVELOPMENT; RECEPTOR; EXPRESSION; PROLACTIN; GROWTH; GLAND; GENE; NEUROPEPTIDE; HORMONE;
D O I
10.1016/j.psj.2021.101380
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
It is well established that the endocrine system plays a pivotal role in preparing the avian embryos for the abrupt switch from chorioallantoic to pulmonary respiration during the critical embryo-tohatchling transition. However, as the master gland of the endocrine system, there has been little research focusing on the molecular mechanisms controlling the development and function of the pituitary gland during the peri-hatch period in birds. In the present study, we aimed to determine the genome-wide mRNA and miRNA transcriptome profiles of the pituitary during the embryo-to-hatchling transition period from embryonic day 22 (E22) to post-hatching day 6 (P6) in the goose (Anser cygnoides). Of note, expression of Anser_cygnoides_newGene_32456 and LOC106031011 were significantly different among these 4 stages (i.e., E22, E26, P2, and P6). Meanwhile, the neuroactive ligandreceptor interaction pathway was significantly enriched by the DEGs commonly identified among three pairwise comparisons. At the miRNA transcriptome level, there were not commonly identified DE miRNAs among these 4 stages, while the 418 of their predicted target genes were mutually shared. Both the target genes of DE miRNAs in each comparison and these 418 shared target genes were significantly enriched in the ECM-receptor interaction and focal adhesion pathways. In the predicted miRNA-mRNA interaction networks of these 2 pathways, novel_miRNA_467, novel_miRNA_154, and novel_miRNA_340 were the hub miRNAs. In addition, multiple DE miRNAs also showed predicted target relationships with the DEGs associated with extracellular matrix (ECM) components. Among them, expression of novel_miR_120, tgu-miR-92-3p, and novel_miR_398 was significantly negatively correlated with that of LAMC3 (laminin subunit gamma3), suggesting that these miRNAs may regulate pituitary tissue remodeling and functional changes through targeting LAMC3 during development. These identified DE mRNAs and miRNAs as well as their predicted interaction networks involved in regulation of tissue remodeling and cellular functions were most likely to play critical roles in facilitating the embryoto-hatchling transition. These results provide novel insights into the early developmental process of avian pituitary gland and will help better understand the underlying molecular mechanisms.
引用
收藏
页数:11
相关论文
共 54 条
  • [1] CGPS: A machine learning-based approach integrating multiple gene set analysis tools for better prioritization of biologically relevant pathways
    Ai, Chen
    Kong, Lei
    [J]. JOURNAL OF GENETICS AND GENOMICS, 2018, 45 (09) : 489 - 504
  • [2] Structure and biological activity of the extracellular matrix
    Aumailley, M
    Gayraud, B
    [J]. JOURNAL OF MOLECULAR MEDICINE-JMM, 1998, 76 (3-4): : 253 - 265
  • [3] Recessive LAMC3 mutations cause malformations of occipital cortical development
    Barak, Tanyeri
    Kwan, Kenneth Y.
    Louvi, Angeliki
    Demirbilek, Veysi
    Saygi, Serap
    Tuysuz, Beyhan
    Choi, Murim
    Boyaci, Huseyin
    Doerschner, Katja
    Zhu, Ying
    Kaymakcalan, Hande
    Yilmaz, Saliha
    Bakircioglu, Mehmet
    Caglayan, Ahmet Okay
    Ozturk, Ali Kemal
    Yasuno, Katsuhito
    Brunken, William J.
    Atalar, Ergin
    Yalcinkaya, Cengiz
    Dincer, Alp
    Bronen, Richard A.
    Mane, Shrikant
    Ozcelik, Tayfun
    Lifton, Richard P.
    Sestan, Nenad
    Bilguevar, Kaya
    Guenel, Murat
    [J]. NATURE GENETICS, 2011, 43 (06) : 590 - +
  • [4] The microRNA.org resource: targets and expression
    Betel, Doron
    Wilson, Manda
    Gabow, Aaron
    Marks, Debora S.
    Sander, Chris
    [J]. NUCLEIC ACIDS RESEARCH, 2008, 36 : D149 - D153
  • [5] Glutamate induces apoptosis in anterior pituitary cells through group II metabotropic glutamate receptor activation
    Caruso, C
    Bottino, MC
    Pampillo, M
    Pisera, D
    Jaita, G
    Duvilanski, B
    Seilicovich, A
    Lasaga, M
    [J]. ENDOCRINOLOGY, 2004, 145 (10) : 4677 - 4684
  • [6] Transcriptional profiling of liver during the critical embryo-to-hatchling transition period in the chicken (Gallus gallus)
    Cogburn, Larry A.
    Trakooljul, Nares
    Chen, Chuming
    Huang, Hongzhan
    Wu, Cathy H.
    Carre, Wilfrid
    Wang, Xiaofei
    White, Harold B., III
    [J]. BMC GENOMICS, 2018, 19
  • [7] Characterization of melanin-concentrating hormone (MCH) and its receptor in chickens: Tissue expression, functional analysis, and fasting-induced up-regulation of hypothalamic MCH expression
    Cui, Lin
    Lv, Can
    Zhang, Jiannan
    Mo, Chunheng
    Lin, Dongliang
    Li, Juan
    Wang, Yajun
    [J]. GENE, 2017, 615 : 57 - 67
  • [8] Edens F. W., 2011, International Journal of Poultry Science, V10, P832
  • [9] Transcriptional profiling and pathway analysis reveal differences in pituitary gland function, morphology, and vascularization in chickens genetically selected for high or low body weight
    Ellestad, Laura E.
    Cogburn, Larry A.
    Simon, Jean
    Le Bihan-Duval, Elisabeth
    Aggrey, Samuel E.
    Byerly, Mardi S.
    Duclos, Michel J.
    Porter, Tom E.
    [J]. BMC GENOMICS, 2019, 20 (1)
  • [10] Characterization of miRNA transcriptome profiles related to breast muscle development and intramuscular fat deposition in chickens
    Fu, Shouyi
    Zhao, Yinli
    Li, Yuanfang
    Li, Guoxi
    Chen, Yi
    Li, Zhuanjian
    Sun, Guirong
    Li, Hong
    Kang, Xiangtao
    Yan, Fengbin
    [J]. JOURNAL OF CELLULAR BIOCHEMISTRY, 2018, 119 (08) : 7063 - 7079