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      Transcriptome and metabolome reveal distinct carbon allocation patterns during internode sugar accumulation in different sorghum genotypes

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          Summary

          Sweet sorghum accumulates large amounts of soluble sugar in its stem. However, a system‐based understanding of this carbohydrate allocation process is lacking. Here, we compared the dynamic transcriptome and metabolome between the conversion line R9188 and its two parents, sweet sorghum RIO and grain sorghum BTx406 that have contrasting sugar‐accumulating phenotypes. We identified two features of sucrose metabolism, stable concentrations of sugar phosphates in RIO and opposite trend of trehalose‐6‐phosphate (T6P) between RIO vs R9188/ BTx406. Integration of transcriptome and metabolome revealed R9188 is partially active in starch metabolism together with medium sucrose level, whereas sweet sorghum had the highest sucrose concentration and remained highly active in sucrose, starch, and cell wall metabolism post‐anthesis. Similar expression pattern of genes involved in sucrose degradation decreased the pool of sugar phosphates for precursors of starch and cell wall synthesis in R9188 and BTx406. Differential T6P signal between RIO vs R9188/ BTx406 is associated with introgression of T6P regulators from BTx406 into R9188, including C‐group bZIP and trehalose 6‐phosphate phosphatase ( TPP). The inverted T6P signalling in R9188 appears to down‐regulate sucrose and starch metabolism partly through transcriptome reprogramming, whereas introgressed metabolic genes could be related to reduced cell wall metabolism. Our results show that coordinated primary metabolic pathways lead to high sucrose demand and accumulation in sweet sorghum, providing us with targets for genetic improvements of carbohydrate allocation in bioenergy crops.

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          A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.

          Heng Li (2011)
          Most existing methods for DNA sequence analysis rely on accurate sequences or genotypes. However, in applications of the next-generation sequencing (NGS), accurate genotypes may not be easily obtained (e.g. multi-sample low-coverage sequencing or somatic mutation discovery). These applications press for the development of new methods for analyzing sequence data with uncertainty. We present a statistical framework for calling SNPs, discovering somatic mutations, inferring population genetical parameters and performing association tests directly based on sequencing data without explicit genotyping or linkage-based imputation. On real data, we demonstrate that our method achieves comparable accuracy to alternative methods for estimating site allele count, for inferring allele frequency spectrum and for association mapping. We also highlight the necessity of using symmetric datasets for finding somatic mutations and confirm that for discovering rare events, mismapping is frequently the leading source of errors. http://samtools.sourceforge.net. hengli@broadinstitute.org.
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            The Sorghum bicolor genome and the diversification of grasses.

            Sorghum, an African grass related to sugar cane and maize, is grown for food, feed, fibre and fuel. We present an initial analysis of the approximately 730-megabase Sorghum bicolor (L.) Moench genome, placing approximately 98% of genes in their chromosomal context using whole-genome shotgun sequence validated by genetic, physical and syntenic information. Genetic recombination is largely confined to about one-third of the sorghum genome with gene order and density similar to those of rice. Retrotransposon accumulation in recombinationally recalcitrant heterochromatin explains the approximately 75% larger genome size of sorghum compared with rice. Although gene and repetitive DNA distributions have been preserved since palaeopolyploidization approximately 70 million years ago, most duplicated gene sets lost one member before the sorghum-rice divergence. Concerted evolution makes one duplicated chromosomal segment appear to be only a few million years old. About 24% of genes are grass-specific and 7% are sorghum-specific. Recent gene and microRNA duplications may contribute to sorghum's drought tolerance.
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              PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors

              With the aim to provide a resource for functional and evolutionary study of plant transcription factors (TFs), we updated the plant TF database PlantTFDB to version 3.0 (http://planttfdb.cbi.pku.edu.cn). After refining the TF classification pipeline, we systematically identified 129 288 TFs from 83 species, of which 67 species have genome sequences, covering main lineages of green plants. Besides the abundant annotation provided in the previous version, we generated more annotations for identified TFs, including expression, regulation, interaction, conserved elements, phenotype information, expert-curated descriptions derived from UniProt, TAIR and NCBI GeneRIF, as well as references to provide clues for functional studies of TFs. To help identify evolutionary relationship among identified TFs, we assigned 69 450 TFs into 3924 orthologous groups, and constructed 9217 phylogenetic trees for TFs within the same families or same orthologous groups, respectively. In addition, we set up a TF prediction server in this version for users to identify TFs from their own sequences.
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                Author and article information

                Contributors
                messing@waksman.rutgers.edu
                Journal
                Plant Biotechnol J
                Plant Biotechnol. J
                10.1111/(ISSN)1467-7652
                PBI
                Plant Biotechnology Journal
                John Wiley and Sons Inc. (Hoboken )
                1467-7644
                1467-7652
                15 September 2018
                February 2019
                : 17
                : 2 ( doiID: 10.1111/pbi.2019.17.issue-2 )
                : 472-487
                Affiliations
                [ 1 ] Waksman Institute of Microbiology Rutgers, The State University of New Jersey Piscataway NJ USA
                [ 2 ] Syngenta Crop Protection, LLC Greensboro North Carolina USA
                [ 3 ]Present address: School of Agriculture and Biology Shanghai Jiaotong University Shanghai China
                Author notes
                [*] [* ] Correspondence (Tel 8484454257; fax 7324450072; email messing@ 123456waksman.rutgers.edu )
                Author information
                http://orcid.org/0000-0001-8260-2643
                Article
                PBI12991
                10.1111/pbi.12991
                6335075
                30051585
                53c94df5-6b2f-4493-a1b4-46702bfbf22b
                © 2018 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 January 2018
                : 19 July 2018
                : 21 July 2018
                Page count
                Figures: 7, Tables: 0, Pages: 16, Words: 11279
                Funding
                Funded by: Selman Waksman Chair in Molecular Genetics
                Funded by: Syngenta Crop Protection
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                pbi12991
                February 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.5.4 mode:remove_FC converted:16.01.2019

                Biotechnology
                rna‐seq,metabolomics,gene expression,sugar accumulation,trehalose‐6‐phosphate signalling,introgression,sorghum,internode

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