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      Transcriptome and metabolome profiling provide insights into molecular mechanism of pseudostem elongation in banana

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          Abstract

          Background

          Banana plant height is an important trait for horticultural practices and semi-dwarf cultivars show better resistance to damages by wind and rain. However, the molecular mechanisms controlling the pseudostem height remain poorly understood. Herein, we studied the molecular changes in the pseudostem of a semi-dwarf banana mutant Aifen No. 1 ( Musa spp. Pisang Awak sub-group ABB) as compared to its wild-type dwarf cultivar using a combined transcriptome and metabolome approach.

          Results

          A total of 127 differentially expressed genes and 48 differentially accumulated metabolites were detected between the mutant and its wild type. Metabolites belonging to amino acid and its derivatives, flavonoids, lignans, coumarins, organic acids, and phenolic acids were up-regulated in the mutant. The transcriptome analysis showed the differential regulation of genes related to the gibberellin pathway, auxin transport, cell elongation, and cell wall modification. Based on the regulation of gibberellin and associated pathway-related genes, we discussed the involvement of gibberellins in pseudostem elongation in the mutant banana. Genes and metabolites associated with cell wall were explored and their involvement in cell extension is discussed.

          Conclusions

          The results suggest that gibberellins and associated pathways are possibly developing the observed semi-dwarf pseudostem phenotype together with cell elongation and cell wall modification. The findings increase the understanding of the mechanisms underlying banana stem height and provide new clues for further dissection of specific gene functions.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12870-021-02899-6.

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          Most cited references97

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

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            The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSI-BLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.
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              Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype

              Rapid advances in next-generation sequencing technologies have dramatically changed our ability to perform genome-scale analyses. The human reference genome used for most genomic analyses represents only a small number of individuals, limiting its usefulness for genotyping. We designed a novel method, HISAT2, for representing and searching an expanded model of the human reference genome, in which a large catalogue of known genomic variants and haplotypes is incorporated into the data structure used for searching and alignment. This strategy for representing a population of genomes, along with a fast and memory-efficient search algorithm, enables more detailed and accurate variant analyses than previous methods. We demonstrate two initial applications of HISAT2: HLA typing, a critical need in human organ transplantation, and DNA fingerprinting, widely used in forensics. These applications are part of HISAT-genotype, with performance not only surpassing earlier computational methods, but matching or exceeding the accuracy of laboratory-based assays.
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                Author and article information

                Contributors
                guimingdeng2014@163.com
                fangchengbi@gmail.com
                liuyisama233@163.com
                heweidi89@163.com
                lichunyu881@163.com
                taod2004@163.com
                soyang@foxmail.com
                huijun_gao@aliyun.com
                doutongxin@gdaas.cn
                xh-zhong@163.com
                pengmiao1981@sina.com
                yiganjun@vip.163.com
                Journal
                BMC Plant Biol
                BMC Plant Biol
                BMC Plant Biology
                BioMed Central (London )
                1471-2229
                1 March 2021
                1 March 2021
                2021
                : 21
                : 125
                Affiliations
                [1 ]GRID grid.135769.f, ISNI 0000 0001 0561 6611, Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, ; Guangzhou, China
                [2 ]GRID grid.418524.e, ISNI 0000 0004 0369 6250, Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, ; Guangzhou, China
                [3 ]Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangdong Province, Guangzhou, China
                [4 ]GRID grid.257160.7, ISNI 0000 0004 1761 0331, Horticulture and Landscape College, , Hunan Agricultural University, ; Changsha, 410128 China
                Article
                2899
                10.1186/s12870-021-02899-6
                7923470
                33648452
                c9c99090-7fa3-43db-8b39-cde109e0925a
                © The Author(s) 2021

                Open AccessThis 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/. 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 in a credit line to the data.

                History
                : 21 October 2020
                : 21 February 2021
                Funding
                Funded by: National Key Research and Development Project
                Award ID: 2018YFD1000102, 2019YFD1000200
                Funded by: Guangdong Science and Technology Project
                Award ID: 2019B030316007
                Funded by: special fund for scientific innovation strategy-construction of high level Academy of Agriculture Science
                Award ID: R2018PY-QY004, R2017PY-QY001, R2017PY-JX002
                Funded by: Guangzhou national modern agricultural industry science and technology innovation center project
                Award ID: 2018kczx06
                Funded by: National Banana Industry and Technology System Project
                Award ID: CARS-31-01
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Plant science & Botany
                auxin efflux carrier proteins,banana pseudostem,dwarfism,ethylene response factors,gibberellins

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