5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genomic analyses of diverse wild and cultivated accessions provide insights into the evolutionary history of jujube

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Summary

          The Chinese jujube ( Ziziphus jujuba Mill.), a member of the Rhamnaceae family, is an important perennial fruit tree crop of substantial economic, ecological and nutritional value, and is also used as a traditional herbal medicine. Here, we report the resequencing of 493 jujube accessions, including 202 wild and 291 cultivated accessions at >16× depth. Our population genomic analyses revealed that the Shanxi–Shaanxi area of China was jujube's primary domestication centre and that jujube was then disseminated into East China before finally extending into South China. Divergence events analysis indicated that Ziziphus acidojujuba and Ziziphus jujuba diverged around 2.7 Mya, suggesting the interesting possibility that a long pre‐domestication period may have occurred prior to human intervention. Using the large genetic polymorphism data set, we identified a 15‐bp tandem insertion in the promoter of the jujube ortholog of the POLLEN DEFECTIVE IN GUIDANCE 1 ( POD1) gene, which was strongly associated with seed‐setting rate. Integrating genome‐wide association study (GWAS), transcriptome data, expression analysis and transgenic validation in tomato, we identified a DA3/ UBIQUITIN‐SPECIFIC PROTEASE 14 ( UBP14) ortholog, which negatively regulate fruit weight in jujube. We also identified candidate genes, which have likely influenced the selection of fruit sweetness and crispness texture traits among fresh and dry jujubes. Our study not only illuminates the genetic basis of jujube evolution and domestication and provides a deep and rich genomic resource to facilitate both crop improvement and hypothesis‐driven basic research, but also identifies multiple agriculturally important genes for this unique perennial tree fruit species.

          Related collections

          Most cited references70

          • Record: found
          • Abstract: found
          • Article: not found

          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          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).
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              HISAT: a fast spliced aligner with low memory requirements.

              HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.
                Bookmark

                Author and article information

                Contributors
                mxguolynu@126.com
                jiangwenkai@novogene.com
                xszhaolynu@126.com
                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
                30 September 2020
                March 2021
                : 19
                : 3 ( doiID: 10.1111/pbi.v19.3 )
                : 517-531
                Affiliations
                [ 1 ] College of Life Sciences Luoyang Normal University Luoyang China
                [ 2 ] Jujube Research Center Luoyang Normal University Luoyang China
                [ 3 ] Novogene Bioinformatics Institute Beijing China
                [ 4 ] Genome Analysis Laboratory of the Ministry of Agriculture Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen China
                [ 5 ] Pomology Institute Shanxi Academy of Agricultural Sciences Taigu China
                Author notes
                [*] [* ] Correspondence (Tel +86 379 68618603; email mxguolynu@ 123456126.com (M.G.), Tel +86 379 68618607; email xszhaolynu@ 123456126.com (X.Z.) and Tel +86 10 82837867; email jiangwenkai@ 123456novogene.com (W.J.))

                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-4996-7912
                https://orcid.org/0000-0002-2011-6217
                Article
                PBI13480
                10.1111/pbi.13480
                7955879
                32946650
                17b522b0-37e2-46c1-90c6-dd4e889e5d08
                © 2020 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
                : 31 July 2020
                : 31 December 2019
                : 07 September 2020
                Page count
                Figures: 6, Tables: 0, Pages: 15, Words: 10842
                Funding
                Funded by: the National Key Research and Development Program of China
                Award ID: 2017YFC0504503
                Funded by: the Key Science and Technology Program of Henan Province
                Award ID: 192102110058
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                March 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.9 mode:remove_FC converted:13.03.2021

                Biotechnology
                jujube,resequencing,evolutionary history,seed‐setting rate,fruit weight
                Biotechnology
                jujube, resequencing, evolutionary history, seed‐setting rate, fruit weight

                Comments

                Comment on this article