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Genome-wide identification and expression specificity analysis of the DNA methyltransferase gene family under adversity stresses in cotton

Xiaomin Yang, Xuke Lu, Xiugui Chen, Delong Wang, Junjuan Wang, Shuai Wang, Lixue Guo, Chao Chen, Xiaoge Wang, Binglei Zhang, Mingge Han, View ORCID ProfileWuwei Ye
doi: https://doi.org/10.1101/411652
Xiaomin Yang
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Xuke Lu
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Xiugui Chen
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Delong Wang
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Junjuan Wang
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Shuai Wang
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Lixue Guo
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Chao Chen
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Xiaoge Wang
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Binglei Zhang
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Mingge Han
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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Wuwei Ye
1Key Laboratory for Cotton Genetic Improvement, Anyang 455000, Henan, China Institute of Cotton Research of Chinese Academy of Agricultural Sciences State Key Laboratory of Cotton Biology
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  • ORCID record for Wuwei Ye
  • For correspondence: yew158@163.com
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Abstract

DNA methylation is an important epigenetic mode of genomic DNA modification that is an important part of maintaining epigenetic content and regulating gene expression. DNA methyltransferases (MTases) are the key enzymes in the process of DNA methylation. Thus far, there has been no systematic analysis the DNA MTases found in cotton. In this study, the whole genome of cotton C5-Mtase coding genes was identified and analyzed using a bioinformatics method based on information from the cotton genome. In this study, 51 DNA MTase genes were identified, of which 8 belonged to G. raimondii (group D), 9 belonged to G. arboretum L. (group A), 16 belonged to G. hirsutum L. (group AD1) and 18 belonged to G. barbadebse L. (group AD2). Systematic evolutionary analysis divided the 51 genes into four subfamilies, including 7 MET homologous proteins, 25 CMT homologous proteins, 14 DRM homologous proteins and 5 DNMT2 homologous proteins. Further studies showed that the DNA MTases in cotton were more phylogenetically conserved. The comparison of their protein domains showed that the C-terminal functional domain of the 51 proteins had six conserved motifs involved in methylation modification, indicating that the protein has a basic catalytic methylation function and the difference in the N-terminal regulatory domains of the 51 proteins divided the proteins into four classes, MET, CMT, DRM and DNMT2, in which DNMT2 lacks an N-terminal regulatory domain. Gene expression in cotton is not the same under different stress treatments. Different expression patterns of DNA MTases show the functional diversity of the cotton DNA methyltransferase gene family. VIGS silenced Gossypium hirsutum l. in the cotton seedling of DNMT2 family gene GhDMT6, after stress treatment the growth condition was better than the control. The distribution of DNA MTases varies among cotton species. Different DNA MTase family members have different genetic structures, and the expression level changes with different stresses, showing tissue specificity. Under salt and drought stress, G. hirsutum L. TM-1 increased the number of genes more than G. raimondii and G. arboreum L. Shixiya 1. The resistance of Gossypium hirsutum L.TM-1 to cold, drought and salt stress was increased after the plants were silenced with GhDMT6 gene.

Footnotes

  • XY, XL, XW,BZ and MH participated in the design of the study and performed the statistical analysis, JW, CC,LG,XC, DW and SW provided the materials and revised the manuscript, XY drafted the manuscript.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted September 07, 2018.
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Genome-wide identification and expression specificity analysis of the DNA methyltransferase gene family under adversity stresses in cotton
Xiaomin Yang, Xuke Lu, Xiugui Chen, Delong Wang, Junjuan Wang, Shuai Wang, Lixue Guo, Chao Chen, Xiaoge Wang, Binglei Zhang, Mingge Han, Wuwei Ye
bioRxiv 411652; doi: https://doi.org/10.1101/411652
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Genome-wide identification and expression specificity analysis of the DNA methyltransferase gene family under adversity stresses in cotton
Xiaomin Yang, Xuke Lu, Xiugui Chen, Delong Wang, Junjuan Wang, Shuai Wang, Lixue Guo, Chao Chen, Xiaoge Wang, Binglei Zhang, Mingge Han, Wuwei Ye
bioRxiv 411652; doi: https://doi.org/10.1101/411652

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