MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) are short (19–25 nucleotides) non-coding RNA molecules that have large-scale regulatory effects on development and stress responses in plants. Verticillium wilt is a vascular disease in plants caused by the fungal pathogen Verticillium dahliae. The objective of this study is to investigate the transcriptional profile of miRNAs and other small non-coding RNAs in Verticillium–inoculated cotton roots. Four small RNA libraries were constructed from mocked and infected roots of two cotton cultured species which are with different Verticillium wilt tolerance (‘Hai-7124’, Gossypium barbadense L., a Verticillium-tolerant cultivar, and ‘Yi-11’, Gossypium hirsutum L. a Verticillium-sensitive cultivar). The length distribution of obtained small RNAs was significantly different between libraries. There were a total of 215 miRNA families identified in the two cotton species. Of them 14 were novel miRNAs. There were >65 families with different expression between libraries. We also identified two trans-acting siRNAs and thousands of endogenous siRNA candidates, and hundred of them exhibited altered expression after inoculation of Verticillium. Interesting, many siRNAs were found with a perfect match with retrotransposon sequences, suggested that retrotransposons maybe one of sources for the generation of plant endogenous siRNAs. The profiling of these miRNAs and other small non-coding RNAs lay the foundation for further understanding of small RNAs function in the regulation of Verticillium defence responses in cotton roots.
MicroRNAs (miRNAs) are a class of endogenous, non-coding small RNAs that play important roles in many developmental processes and stress responses in plants and animals. Cotton (Gossypium hirsutum L.) is considered a relatively salt-tolerant non-halophytic plant species. To study the role of miRNAs in salt adaptation, a salt-tolerant cotton cultivar SN-011 and a salt-sensitive cultivar LM-6 were used to detect differentially expressed miRNAs. Using miRNA microarray analysis and a computational approach, 17 cotton miRNAs belonging to eight families were identified. Although they are conserved, 12 of them showed a genotype-specific expression model in both the cultivars. Under salt stress treatment, miR156a/d/e, miR169, miR535a/b and miR827b were dramatically down-regulated in SN-011, while miR167a, miR397a/b and miR399a were up-regulated. Only miR159 was found to be down-regulated in LM-6 under salt stress. To gain insight into their functional significance, 26 target genes were predicted and their functional similarity was further analyzed. Quantitative real-time PCR showed that the expression of seven target genes showed a significant inverse correlation with corresponding miRNAs. These differentially expressed miRNAs can help in further study into the role of transcriptome homeostasis in the adaptation responses of cotton to salt.
The genes encoding DEAD-box helicases play a key role in various abiotic stresses, including temperature, light, oxygen, and salt stress. A salt-responsive gene, designated AvDH1, was isolated from the halophyte dogbane (Apocynum venetum) by using suppression subtractive hybridization and RACE (rapid amplification of cDNA ends) PCR. The deduced amino acid sequence has nine conserved helicase motifs of the DEAD-box protein family. The AvDH1 gene is present as a single copy in the dogbane genome. This gene is expressed in response to NaCl and not polyethlene glycol (PEG) nor abscisic acid, and its expression increases with time. The transcription of AvDH1 is also induced by low temperature (4 degrees C), but its accumulation first increases then decreases with time. The purified recombinant protein contains ATP-dependent DNA helicase activity, ATP-independent RNA helicase activity, and DNA- or RNA-dependent ATPase activity. The ATPase activity of AvDH1 is stimulated more by single-stranded DNA than by double-stranded DNA or RNA. These results suggested that AvDH1 belonging to the DEAD-box helicase family is induced by salinity, functions as a typical helicase to unwind DNA and RNA, and may play an important role in salinity tolerance.
The TEOSINTE BRANCHED 1, CYCLOIDEA, and PROLIFERATING CELL FACTORS (TCP) gene family is a group of plant-specific transcription factors that have versatile functions in developmental processes and stress responses. In this study, a total of 73 TCP genes in upland cotton were identified and characterizated. Phylogenetic analysis classified them into three subgroups: 50 belonged to PCF, 16 to CIN, and 7 to CYC/TB1. GhTCP genes are randomly distributed in 22 of the 26 chromosomes in cotton. Expression patterns of GhTCPs were analyzed in 10 tissues, including different developmental stages of ovule and fiber, as well as under heat, salt, and drought stresses. Transcriptome analysis showed that 44 GhTCP genes exhibited varied transcript accumulation patterns in the tested tissues and 41 GhTCP genes were differentially expressed in response to heat, salt, and drought stresses. Furthermore, three GhTCP genes of the CIN clade were found to contain miR319-binding sites. An anti-correlation expression of GhTCP21 and GhTCP54 was analyzed with miR319 under salt and drought stress. Our results lay the foundation for understanding the complex mechanisms of GhTCP-mediated developmental processes and abiotic stress-signaling transduction pathways in cotton.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.