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
  • [21] Genome-wide identification and analysis of the cotton ALDH gene family
    Gu, Haijing
    Pan, Zongjin
    Jia, Mengxue
    Fang, Hui
    Li, Junyi
    Qi, Yingxiao
    Yang, Yixuan
    Feng, Wenxiang
    Gao, Xin
    Ditta, Allah
    Khan, Muhammad K. R.
    Wang, Wei
    Cao, Yunying
    Wang, Baohua
    BMC GENOMICS, 2024, 25 (01):
  • [22] Genome-Wide Identification and Characterization of Glycosyltransferase Family 47 in Cotton
    Wu, Aimin
    Hao, Pengbo
    Wei, Hengling
    Sun, Huiru
    Cheng, Shuaishuai
    Chen, Pengyun
    Ma, Qiang
    Gu, Lijiao
    Zhang, Meng
    Wang, Hantao
    Yu, Shuxun
    FRONTIERS IN GENETICS, 2019, 10
  • [23] Genome-wide identification and expression analysis of PUB genes in cotton
    Xuke Lu
    Na Shu
    Delong Wang
    Junjuan Wang
    Xiugui Chen
    Binglei Zhang
    Shuai Wang
    Lixue Guo
    Chao Chen
    Wuwei Ye
    BMC Genomics, 21
  • [24] Cotton leaf curl Kokhran virus in association with Chili leaf curl betasatellite infecting mungbean (Vigna radiata.) and black gram (Vigna mungo.) in Pakistan
    Saleem Ur Rahman
    Muhammad Zubair
    Nasim Ahmed
    Ghulam Raza
    Muhammad Zuhaib Khan
    Shahid Mansoor
    Imran Amin
    Australasian Plant Pathology, 2020, 49 : 461 - 465
  • [25] Development and Evaluation of the Cotton Leaf Curl Kokhran Virus-Burewala Bidirectional Promoter for Enhanced Cry1Ac Endotoxin Expression in Bt Transgenic Cotton
    Ashraf, Muhammad Aleem
    Shahid, Ahmad Ali
    Rao, Abdul Qayyum
    Brown, Judith K.
    Husnain, Tayyab
    APPLIED SCIENCES-BASEL, 2022, 12 (21):
  • [26] High-throughput sequencing-based genome-wide identification of microRNAs expressed in developing cotton seeds
    YanMei Wang
    Yan Ding
    DingWei Yu
    Wei Xue
    JinYuan Liu
    Science China Life Sciences, 2015, 58 : 778 - 786
  • [27] Genome-wide identification and characterization of microRNAs differentially expressed in fibers in a cotton phytochrome A1 RNAi line
    Miao, Qing
    Deng, Peng
    Saha, Sukumar
    Jenkins, Johnie N.
    Hsu, Chuan-Yu
    Abdurakhmonov, Ibrokhim Y.
    Buriev, Zabardast T.
    Pepper, Alan
    Ma, Din-Pow
    PLOS ONE, 2017, 12 (06):
  • [28] High-throughput sequencing-based genome-wide identification of microRNAs expressed in developing cotton seeds
    Wang YanMei
    Ding Yan
    Yu DingWei
    Xue Wei
    Liu JinYuan
    SCIENCE CHINA-LIFE SCIENCES, 2015, 58 (08) : 778 - 786
  • [29] Kinetics of interaction of Cotton Leaf Curl Kokhran Virus-Dabawali (CLCuKV-Dab) coat protein and its mutants with ssDNA
    Priyadarshini, Poornima C. G.
    Savithri, H. S.
    VIROLOGY, 2009, 386 (02) : 427 - 437
  • [30] Identification of a distinct strain of Cotton leaf curl Gezira virus infecting tomato in Oman
    Al Shihi, Adel A.
    Al Sadi, Abdullah M.
    Deadman, Mike
    Briddon, Rob W.
    Shahid, Muhammad S.
    JOURNAL OF PHYTOPATHOLOGY, 2018, 166 (03) : 199 - 205