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      Overexpression of differentially expressed AhCytb6 gene during plant-microbe interaction improves tolerance to N 2 deficit and salt stress in transgenic tobacco

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          Abstract

          Stenotrophomonas maltophilia has plant growth-promoting potential, and interaction with Arachis hypogaea changes host-plant physiology, biochemistry, and metabolomics, which provides tolerance under the N 2 starvation conditions. About 226 suppression subtractive hybridization clones were obtained from plant-microbe interaction, of which, about 62% of gene sequences were uncharacterized, whereas 23% of sequences were involved in photosynthesis. An uncharacterized SSH clone, SM409 (full-length sequence showed resemblance with Cytb6), showed about 4-fold upregulation during the interaction was transformed to tobacco for functional validation. Overexpression of the AhCytb6 gene enhanced the seed germination efficiency and plant growth under N 2 deficit and salt stress conditions compared to wild-type and vector control plants. Results confirmed that transgenic lines maintained high photosynthesis and protected plants from reactive oxygen species buildup during stress conditions. Microarray-based whole-transcript expression of host plants showed that out of 272,410 genes, 8704 and 24,409 genes were significantly ( p < 0.05) differentially expressed (> 2 up or down-regulated) under N 2 starvation and salt stress conditions, respectively. The differentially expressed genes belonged to different regulatory pathways. Overall, results suggested that overexpression of AhCytb6 regulates the expression of various genes to enhance plant growth under N 2 deficit and abiotic stress conditions by modulating plant physiology.

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          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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                Author and article information

                Contributors
                avinash@csmcri.res.in
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                28 June 2021
                28 June 2021
                2021
                : 11
                : 13435
                Affiliations
                [1 ]GRID grid.418372.b, ISNI 0000 0001 2195 555X, Division of Applied Phycology and Biotechnology, , CSIR-Central Salt and Marine Chemicals Research Institute, ; G. B. Marg, Bhavnagar, Gujarat 364002 India
                [2 ]GRID grid.418099.d, Academy of Scientific and Innovative Research (AcSIR), , CSIR, ; Ghaziabad, India
                [3 ]GRID grid.38142.3c, ISNI 000000041936754X, Present Address: Department of Microbiology, , Harvard Medical School, ; Boston, MA USA
                [4 ]GRID grid.32224.35, ISNI 0000 0004 0386 9924, Present Address: Department of Surgery, , Massachusetts General Hospital, ; Boston, MA USA
                Article
                92424
                10.1038/s41598-021-92424-4
                8239016
                34183701
                80db8932-753b-4b19-a488-f1cd85aad51d
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 August 2020
                : 8 June 2021
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                © The Author(s) 2021

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                molecular engineering in plants,abiotic
                Uncategorized
                molecular engineering in plants, abiotic

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