Genome-Wide Identification of Cotton MicroRNAs Predicted for Targeting Cotton Leaf Curl Kokhran Virus-Lucknow

被引:2
|
作者
Ashraf, Muhammad Aleem [1 ,2 ]
Brown, Judith K. [3 ]
Iqbal, Muhammad Shahzad [4 ]
Yu, Naitong [1 ]
机构
[1] Chinese Acad Trop Agr Sci, Inst Trop Biosci & Biotechnol, Haikou 571101, Peoples R China
[2] Khwaja Fareed Univ Engn & Informat Technol, Inst Biol Sci, Fac Nat & Appl Sci, Rahim Yar Khan 64200, Pakistan
[3] Univ Arizona, Sch Plant Sci, Tucson, AZ 85721 USA
[4] Univ Okara, Dept Biochem, Okara 56300, Pakistan
关键词
computational algorithms; cotton leaf curl Kokhran virus; microRNA prediction; plant host-begomovirus interactions; RNA interference; target binding sites; SMALL RNA; BEGOMOVIRUS; PLANT; DISEASE; PROTEIN; DNA; RESISTANT; DIAGNOSIS; MIRNAS; STRAIN;
D O I
10.3390/microbiolres15010001
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Cotton leaf curl Kokhran virus (CLCuKoV) (genus, Begomovirus; family, Geminiviridae) is one of several plant virus pathogens of cotton (Gossypium hirsutum L.) that cause cotton leaf curl disease in Pakistan. Begomoviruses are transmitted by the whitefly Bemisia tabaci cryptic species group and cause economic losses in cotton and other crops worldwide. The CLCuKoV strain, referred to as CLCuKoV-Bur, emerged in the vicinity of Burewala, Pakistan, and was the primary causal virus associated with the second CLCuD epidemic in Pakistan. The monopartite ssDNA genome of (2.7 Kb) contains six open reading frames that encode four predicted proteins. RNA interference (RNAi)-mediated antiviral immunity is a sequence-specific biological process in plants and animals that has evolved to combat virus infection. The objective of this study was to design cotton locus-derived microRNA (ghr-miRNA) molecules to target strains of CLCuKoV, with CLCuKoV-Lu, as a typical CLCuD-begomovirus genome, predicted by four algorithms, miRanda, RNA22, psRNATarget, and RNA hybrid. Mature ghr-miRNA sequences (n = 80) from upland cotton (2n = 4x = 52) were selected from miRBase and aligned with available CLCuKoV-Lu genome sequences. Among the 80 cotton locus-derived ghr-miRNAs analyzed, ghr-miR2950 was identified as the most optimal, effective ghr-miRNA for targeting the CLCuKoV-Lu genome (nucleotide 82 onward), respectively, based on stringent criteria. The miRNA targeting relies on the base pairing of miRNA-mRNA targets. Conservation and potential base pairing of binding sites with the ghr-miR2950 were validated by multiple sequence alignment with all available CLCuKoV sequences. A regulatory interaction network was constructed to evaluate potential miRNA-mRNA interactions with the predicted targets. The efficacy of miRNA targeting of CLCuKoV was evaluated in silico by RNAi-mediated mRNA cleavage. This predicted targets for the development of CLCuD-resistant cotton plants.
引用
收藏
页码:1 / 19
页数:19
相关论文
共 50 条
  • [41] Genome-wide Identification and Structural Analysis of Pyrophosphatase Gene Family in Cotton
    Zhao, Xiaojie
    Lu, Xuke
    Yin, Zujun
    Wang, Delong
    Wang, Junjuan
    Fan, Weili
    Wang, Shuai
    Zhang, Tianbao
    Ye, Wuwei
    CROP SCIENCE, 2016, 56 (04) : 1831 - 1840
  • [42] Characterization of a Strong Constitutive Promoter from Cotton Leaf Curl Kokhran Virus for High Level Gene Expression in Monocotyledonous and Dicotyledonous Plants
    Rasul, Fiaz
    Asad, Shaheen
    Zafar, Yusuf
    Mansoor, Shahid
    INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY, 2014, 16 (02) : 342 - 346
  • [43] Functional Characterization of Coat Protein and V2 Involved in Cell to Cell Movement of Cotton Leaf Curl Kokhran Virus-Dabawali
    Priyadarshini, C. G. Poornima
    Ambika, M. V.
    Tippeswamy, R.
    Savithri, H. S.
    PLOS ONE, 2011, 6 (11):
  • [44] Isolation and identification of a super strong plant promoter from cotton leaf curl Multan virus
    Yingqiu Xie
    Yule Liu
    Meng Meng
    Lei Chen
    Zhen Zhu
    Plant Molecular Biology, 2003, 53 : 1 - 14
  • [45] Isolation and identification of a super strong plant promoter from cotton leaf curl Multan virus
    Xie, YQ
    Liu, YL
    Meng, M
    Chen, L
    Zhu, Z
    PLANT MOLECULAR BIOLOGY, 2003, 53 (01) : 1 - 14
  • [46] Functional structure analysis and genome-wide identification of CNX gene family in cotton
    Xu Nan
    Zhang Hong
    Zhang Yuexin
    Fan Yapeng
    Wang Jing
    Malik, Waciar Afzal
    Rui Cun
    Han Mingge
    Lu Xuke
    Chen Xiugui
    Wang Junjuan
    Wang Delong
    Wang Shuai
    Chen Chao
    Guo Lixue
    Zhao Lanjie
    Ye Wuwei
    JOURNAL OF COTTON RESEARCH, 2022, 5 (01)
  • [47] Genome-Wide Identification and Analysis of the WNK Kinase Gene Family in Upland Cotton
    Zhang, Qi
    Zhang, Caidie
    Pan, Zhenyuan
    Lin, Hairong
    Li, Zhibo
    Hou, Xinhe
    Liu, Jinshan
    Nie, Xinhui
    Wu, Yuanlong
    PLANTS-BASEL, 2023, 12 (23):
  • [48] Functional structure analysis and genome-wide identification of CNX gene family in cotton
    Nan Xu
    Hong Zhang
    Yuexin Zhang
    Yapeng Fan
    Jing Wang
    Waqar Afzal Malik
    Cun Rui
    Mingge Han
    Xuke Lu
    Xiugui Chen
    Junjuan Wang
    Delong Wang
    Shuai Wang
    Chao Chen
    Lixue Guo
    Lanjie Zhao
    Wuwei Ye
    Journal of Cotton Research, 5
  • [49] Functional structure analysis and genome-wide identification of CNX gene family in cotton
    XU Nan
    ZHANG Hong
    ZHANG Yuexin
    FAN Yapeng
    WANG Jing
    MALIK Waqar Afzal
    RUI Cun
    HAN Mingge
    LU Xuke
    CHEN Xiugui
    WANG Junjuan
    WANG Delong
    WANG Shuai
    CHEN Chao
    GUO Lixue
    ZHAO Lanjie
    YE Wuwei
    JournalofCottonResearch, 2022, 5 (03) : 285 - 301
  • [50] Genome-wide cloning, identification, classification and functional analysis of cotton heat shock transcription factors in cotton (Gossypium hirsutum)
    Wang, Jun
    Sun, Na
    Deng, Ting
    Zhang, Lida
    Zuo, Kaijing
    BMC GENOMICS, 2014, 15