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      Genome-wide identification and characterization of LRR-RLKs reveal functional conservation of the SIF subfamily in cotton ( Gossypium hirsutum)

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          Abstract

          Background

          As one of the largest subfamilies of the receptor-like protein kinases (RLKs) in plants, Leucine Rich Repeats-RLKs (LRR-RLKs) are involved in many critical biological processes including growth, development and stress responses in addition to various physiological roles. Arabidopsis contains 234 LRR-RLKs, and four members of Stress Induced Factor (SIF) subfamily (AtSIF1-AtSIF4) which are involved in abiotic and biotic stress responses. Herein, we aimed at identification and functional characterization of SIF subfamily in cultivated tetraploid cotton Gossypium hirsutum.

          Results

          Genome-wide analysis of cotton LRR-RLK gene family identified 543 members and phylogenetic analysis led to the identification of 6 cotton LRR-RLKs with high homology to Arabidopsis SIFs. Of the six SIF homologs, GhSIF1 is highly conserved exhibiting 46–47% of homology with AtSIF subfamily in amino acid sequence. The GhSIF1 was transiently silenced using Virus-Induced Gene Silencing system specifically targeting the 3’ Untranslated Region. The transiently silenced cotton seedlings showed enhanced salt tolerance compared to the control plants. Further, the transiently silenced plants showed better growth, lower electrolyte leakage, and higher chlorophyll and biomass contents.

          Conclusions

          Overall, 543 LRR-RLK genes were identified using genome-wide analysis in cultivated tetraploid cotton G. hirsutum. The present investigation also demonstrated the conserved salt tolerance function of SIF family member in cotton. The GhSIF1 gene can be knocked out using genome editing technologies to improve salt tolerance in cotton.

          Electronic supplementary material

          The online version of this article (10.1186/s12870-018-1395-1) contains supplementary material, which is available to authorized users.

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          Most cited references47

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          Virus-induced gene silencing in tomato.

          We have previously demonstrated that a tobacco rattle virus (TRV)-based vector can be used in virus-induced gene silencing (VIGS) to study gene function in Nicotiana benthamiana. Here we show that recombinant TRV infects tomato plants and induces efficient gene silencing. Using this system, we suppressed the PDS, CTR1 and CTR2 genes in tomato. Suppression of CTR1 led to a constitutive ethylene response phenotype and up-regulation of an ethylene response gene, CHITINASE B. This phenotype is similar to Arabidopsis ctr1 mutant plants. We have constructed a modified TRV vector based on the GATEWAY recombination system, allowing restriction- and ligation-free cloning. Our results show that tomato expressed sequence tags (ESTs) can easily be cloned into this modified vector using a single set of primers. Using this vector, we have silenced RbcS and an endogenous gene homologous to the tomato EST cLED3L14. In the future, this modified vector system will facilitate large-scale functional analysis of tomato ESTs.
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            Combining evidence using p-values: application to sequence homology searches.

            To illustrate an intuitive and statistically valid method for combining independent sources of evidence that yields a p-value for the complete evidence, and to apply it to the problem of detecting simultaneous matches to multiple patterns in sequence homology searches. In sequence analysis, two or more (approximately) independent measures of the membership of a sequence (or sequence region) in some class are often available. We would like to estimate the likelihood of the sequence being a member of the class in view of all the available evidence. An example is estimating the significance of the observed match of a macromolecular sequence (DNA or protein) to a set of patterns (motifs) that characterize a biological sequence family. An intuitive way to do this is to express each piece of evidence as a p-value, and then use the product of these p-values as the measure of membership in the family. We derive a formula and algorithm (QFAST) for calculating the statistical distribution of the product of n independent p-values. We demonstrate that sorting sequences by this p-value effectively combines the information present in multiple motifs, leading to highly accurate and sensitive sequence homology searches.
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              BRI1/BAK1, a receptor kinase pair mediating brassinosteroid signaling.

              The Arabidopsis BAK1 (BRI1 Associated receptor Kinase 1) was identified by a yeast two-hybrid screen as a specific interactor for BRI1, a critical component of a membrane brassinosteroid (BR) receptor. In yeast, BAK1/BRI1 interaction activates their kinase activities through transphosphorylation. BAK1 and BRI1 share similar gene expression and subcellular localization patterns and physically associate with each other in plants. Overexpression of the BAK1 gene leads to a phenotype reminiscent of BRI1-overexpression transgenic plants and rescues a weak bri1 mutant. In contrast, a bak1 knockout mutation gives rise to a weak bri1-like phenotype and enhances a weak bri1 mutation. We propose that BAK1 and BRI1 function together to mediate plant steroid signaling.
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                Author and article information

                Contributors
                ning.yuan@ttu.edu
                krishan.m.rai@ttu.edu
                Vimal-Kumar.Balasubramanian@ttu.edu
                skupadhyay@pu.ac.in
                Hluo@clemson.edu
                806 834 6327 , venugopal.mendu@ttu.edu
                Journal
                BMC Plant Biol
                BMC Plant Biol
                BMC Plant Biology
                BioMed Central (London )
                1471-2229
                6 September 2018
                6 September 2018
                2018
                : 18
                : 185
                Affiliations
                [1 ]ISNI 0000 0001 2186 7496, GRID grid.264784.b, Fiber and Biopolymer Research Institute (FBRI), Department of Plant and Soil Science, , Texas Tech University, ; Lubbock, TX 79409 USA
                [2 ]ISNI 0000 0001 2174 5640, GRID grid.261674.0, Department of Botany, , Panjab University, ; Chandigarh, 160014 India
                [3 ]ISNI 0000 0001 0665 0280, GRID grid.26090.3d, Department of Genetics and Biochemistry, , Clemson University, ; Clemson, SC 29634 USA
                Author information
                http://orcid.org/0000-0002-4985-2672
                Article
                1395
                10.1186/s12870-018-1395-1
                6128003
                30189845
                f1b5648d-4cd1-49f5-9cbd-a9e08384f6e1
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 2 May 2018
                : 27 August 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100006481, Cotton Incorporated;
                Award ID: 18-092
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Plant science & Botany
                gossypium hirsutum,lrr-rlks,genome-wide analysis,salt tolerance
                Plant science & Botany
                gossypium hirsutum, lrr-rlks, genome-wide analysis, salt tolerance

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