Identification of microRNAs involved in cold adaptation of Litopenaeus vannamei by high-throughput sequencing

被引:28
|
作者
He, Pingping [1 ]
Wei, Pinyuan [1 ]
Zhang, Bin [1 ]
Zhao, Yongzhen [1 ]
Li, Qiangyong [1 ]
Chen, Xiuli [1 ]
Zeng, Digang [1 ]
Peng, Min [1 ]
Yang, Chunling [1 ]
Peng, Jinxia [1 ]
Chen, Xiaohan [1 ]
机构
[1] Acad Fishery Sci, Guangxi Key Lab Aquat Genet Breeding & Hlth Aquac, Nanning 530021, Guangxi, Peoples R China
关键词
miRNAs; Litopenaeus vannamei; Cold adaptation; Next-generation sequencing; RT-qPCR; DIFFERENTIALLY EXPRESSED GENES; WHITE SHRIMP; TEMPERATURE; SUPPRESSION; BIOGENESIS; SALINITY; PATHWAY; CLONING; MIRNAS; TARGET;
D O I
10.1016/j.gene.2018.07.042
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The Litopenaeus vannamei (L. vannamei) is one of the most widely cultured shrimp species in the world, with low temperature being one of the most serious threats to its growth and survival. To examine the potential regulatory mechanism of cold adaptation, we conducted a microRNAs (miRNAs) analysis on the hepatopancreas of L. vannamei under normal temperature 28 degrees C (M28), cold acclimation 16 degrees C for 6 days (M16), and recovered under normal temperature (MR). In total 14,754,823, 14,945,246 and 15,880,093 raw reads representing 10,690,259, 8,587,144, and 11,512,941 unique sequences of 18-32 nt length were obtained from the M28, M16 and MR libraries, respectively. After comparing the miRNA sequences with the miRBase database, 68 known mature miRNAs and 47 novel miRNAs were identified. Expression analysis showed that 34 miRNAs were significantly differential expressed in response to cold adaptation. Compared to the M28 library, 21 miRNAs were upregulated and 13 miRNAs were downregulated significantly in the M16 library. After recovery to normal temperature, there are 16 miRNAs upregulated and 15 miRNAs downregulated significantly compared to M28 library. Then, five significantly differential expressed miRNAs under cold acclimation including three known miRNAs (mja-miR-6491, mja-miR-6494, and Bta-miR-2478) and two newly-identified miRNAs (novel 68 and novel_5) were selected for validation by RT-qPCR in the hepatopancreas and muscle tissues of cold treated shrimps. The expression trend of most the miRNAs from RT-qPCR were consistent with the next-generation sequencing data. Further, the Gene Ontology (GO) annotation showed that the metabolic process GO term was significantly enriched with target genes of the differentially expressed miRNAs. Additionally, KEGG pathway analysis suggested that the fatty acid degradation and glycerolipid metabolism pathways etc. are significantly enriched with the target genes. These findings may contribute to a better understanding of the molecular mechanisms governing the responses to low temperature in L. vannamei.
引用
收藏
页码:24 / 31
页数:8
相关论文
共 50 条
  • [21] Identification of novel and conserved microRNAs in Panax notoginseng roots by high-throughput sequencing
    Rongchang Wei
    Deyou Qiu
    Iain W. Wilson
    Huan Zhao
    Shanfa Lu
    Jianhua Miao
    Shixin Feng
    Longhua Bai
    Qinghua Wu
    Dongping Tu
    Xiaojun Ma
    Qi Tang
    BMC Genomics, 16
  • [22] Identification of Known and Novel MicroRNAs in Raspberry Organs Through High-Throughput Sequencing
    Yan, Gengxuan
    Zhang, Jie
    Jiang, Meng
    Gao, Xince
    Yang, Hongyi
    Li, Lili
    FRONTIERS IN PLANT SCIENCE, 2020, 11
  • [23] Identification and characterization of microRNAs in the gonads of Crassostrea hongkongensis using high-throughput sequencing
    Wei, Pinyuan
    He, Pingping
    Zhang, Xingzhi
    Li, Wei
    Zhang, Li
    Guan, Junliang
    Chen, Xiaohan
    Lin, Yong
    Zhuo, Xiaofei
    Li, Qiongzhen
    Peng, Jinxia
    COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS, 2019, 31
  • [24] Identification of novel and conserved microRNAs in Panax notoginseng roots by high-throughput sequencing
    Wei, Rongchang
    Qiu, Deyou
    Wilson, Iain W.
    Zhao, Huan
    Lu, Shanfa
    Miao, Jianhua
    Feng, Shixin
    Bai, Longhua
    Wu, Qinghua
    Tu, Dongping
    Ma, Xiaojun
    Tang, Qi
    BMC GENOMICS, 2015, 16
  • [25] Identification of grapevine microRNAs and their targets using high-throughput sequencing and degradome analysis
    Pantaleo, Vitantonio
    Szittya, Gyorgy
    Moxon, Simon
    Miozzi, Laura
    Moulton, Vincent
    Dalmay, Tamas
    Burgyan, Jozsef
    PLANT JOURNAL, 2010, 62 (06): : 960 - 976
  • [26] Identification of MicroRNAs from Eugenia uniflora by High-Throughput Sequencing and Bioinformatics Analysis
    Guzman, Frank
    Almerao, Mauricio P.
    Koerbes, Ana P.
    Loss-Morais, Guilherme
    Margis, Rogerio
    PLOS ONE, 2012, 7 (11):
  • [27] Identification of cadmium-responsive microRNAs in Solanum torvum by high-throughput sequencing
    Kang, X. P.
    Gao, J. P.
    Zhao, J. J.
    Yin, H. X.
    Wang, W. Y.
    Zhang, P.
    Wang, R. L.
    Xu, J.
    RUSSIAN JOURNAL OF PLANT PHYSIOLOGY, 2017, 64 (02) : 283 - 300
  • [28] Identification of drought-responsive microRNAs in tomato using high-throughput sequencing
    Minmin Liu
    Huiyang Yu
    Gangjun Zhao
    Qiufeng Huang
    Yongen Lu
    Bo Ouyang
    Functional & Integrative Genomics, 2018, 18 : 67 - 78
  • [29] Identification of cadmium-responsive microRNAs in Solanum torvum by high-throughput sequencing
    X. P. Kang
    J. P. Gao
    J. J. Zhao
    H. X. Yin
    W. Y. Wang
    P. Zhang
    R. L. Wang
    J. Xu
    Russian Journal of Plant Physiology, 2017, 64 : 283 - 300
  • [30] Identification and characterization of microRNAs in Eucheuma denticulatum by high-throughput sequencing and bioinformatics analysis
    Gao, Fan
    Nan, Fangru
    Feng, Jia
    Lv, Junping
    Liu, Qi
    Xie, Shulian
    RNA BIOLOGY, 2016, 13 (03) : 343 - 352