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      Haplotype-phased genome and evolution of phytonutrient pathways of tetraploid blueberry

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          Abstract

          Background

          Highbush blueberry ( Vaccinium corymbosum) has long been consumed for its unique flavor and composition of health-promoting phytonutrients. However, breeding efforts to improve fruit quality in blueberry have been greatly hampered by the lack of adequate genomic resources and a limited understanding of the underlying genetics encoding key traits. The genome of highbush blueberry has been particularly challenging to assemble due, in large part, to its polyploid nature and genome size.

          Findings

          Here, we present a chromosome-scale and haplotype-phased genome assembly of the cultivar “Draper,” which has the highest antioxidant levels among a diversity panel of 71 cultivars and 13 wild Vaccinium species. We leveraged this genome, combined with gene expression and metabolite data measured across fruit development, to identify candidate genes involved in the biosynthesis of important phytonutrients among other metabolites associated with superior fruit quality. Genome-wide analyses revealed that both polyploidy and tandem gene duplications modified various pathways involved in the biosynthesis of key phytonutrients. Furthermore, gene expression analyses hint at the presence of a spatial-temporal specific dominantly expressed subgenome including during fruit development.

          Conclusions

          These findings and the reference genome will serve as a valuable resource to guide future genome-enabled breeding of important agronomic traits in highbush blueberry.

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          Most cited references98

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          LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons

          Background Transposable elements are abundant in eukaryotic genomes and it is believed that they have a significant impact on the evolution of gene and chromosome structure. While there are several completed eukaryotic genome projects, there are only few high quality genome wide annotations of transposable elements. Therefore, there is a considerable demand for computational identification of transposable elements. LTR retrotransposons, an important subclass of transposable elements, are well suited for computational identification, as they contain long terminal repeats (LTRs). Results We have developed a software tool LTRharvest for the de novo detection of full length LTR retrotransposons in large sequence sets. LTRharvest efficiently delivers high quality annotations based on known LTR transposon features like length, distance, and sequence motifs. A quality validation of LTRharvest against a gold standard annotation for Saccharomyces cerevisae and Drosophila melanogaster shows a sensitivity of up to 90% and 97% and specificity of 100% and 72%, respectively. This is comparable or slightly better than annotations for previous software tools. The main advantage of LTRharvest over previous tools is (a) its ability to efficiently handle large datasets from finished or unfinished genome projects, (b) its flexibility in incorporating known sequence features into the prediction, and (c) its availability as an open source software. Conclusion LTRharvest is an efficient software tool delivering high quality annotation of LTR retrotransposons. It can, for example, process the largest human chromosome in approx. 8 minutes on a Linux PC with 4 GB of memory. Its flexibility and small space and run-time requirements makes LTRharvest a very competitive candidate for future LTR retrotransposon annotation projects. Moreover, the structured design and implementation and the availability as open source provides an excellent base for incorporating novel concepts to further improve prediction of LTR retrotransposons.
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            Flavonoids: biosynthesis, biological functions, and biotechnological applications

            Flavonoids are widely distributed secondary metabolites with different metabolic functions in plants. The elucidation of the biosynthetic pathways, as well as their regulation by MYB, basic helix-loop-helix (bHLH), and WD40-type transcription factors, has allowed metabolic engineering of plants through the manipulation of the different final products with valuable applications. The present review describes the regulation of flavonoid biosynthesis, as well as the biological functions of flavonoids in plants, such as in defense against UV-B radiation and pathogen infection, nodulation, and pollen fertility. In addition, we discuss different strategies and achievements through the genetic engineering of flavonoid biosynthesis with implication in the industry and the combinatorial biosynthesis in microorganisms by the reconstruction of the pathway to obtain high amounts of specific compounds.
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              Detecting overlapping protein complexes in protein-protein interaction networks.

              We introduce clustering with overlapping neighborhood expansion (ClusterONE), a method for detecting potentially overlapping protein complexes from protein-protein interaction data. ClusterONE-derived complexes for several yeast data sets showed better correspondence with reference complexes in the Munich Information Center for Protein Sequence (MIPS) catalog and complexes derived from the Saccharomyces Genome Database (SGD) than the results of seven popular methods. The results also showed a high extent of functional homogeneity.
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                Author and article information

                Journal
                Gigascience
                Gigascience
                gigascience
                GigaScience
                Oxford University Press
                2047-217X
                31 January 2019
                March 2019
                31 January 2019
                : 8
                : 3
                : giz012
                Affiliations
                [1 ]Department of Horticulture, Michigan State University, 1066 Bogue Street, East Lansing, MI, 48824, USA
                [2 ]MSU AgBioResearch, Michigan State University, 446 West Circle Drive, East Lansing, MI, 48824, USA
                [3 ]Department of Plant Biology, Michigan State University, 612 Wilson Road, East Lansing, MI, 48824 USA
                [4 ]Ecology, Evolutionary Biology and Behavior, Michigan State University, 293 Farm Lane, East Lansing, MI, 48824, USA
                [5 ]Department of Biochemistry, Purdue University, 175 South University Street, West Lafayette, IN, 47907, USA
                [6 ]Purdue Center for Plant Biology, Purdue University, 610 Purdue Mall, West Lafayette, IN, 47907, USA
                [7 ]Human Longevity Inc., 4570 Executive Drive, San Diego, CA 92121, USA
                [8 ]Key Laboratory of Herbage and Endemic Crop Biotechnology, School of Life Sciences, Inner Mongolia University, 221 Aimin Road, Hohhot, 010070, China
                [9 ]NRGene, 5 Golda Meir Street, Ness Ziona, 7403648, Israel
                [10 ]Dovetail Genomics, 100 Enterprise Way, Scotts Valley, CA, 95066, USA
                [11 ]Center for Genomics Enabled Plant Science, Michigan State University, 612 Wilson Road, East Lansing, MI, 48824, USA
                [12 ]Mass Spectrometry & Metabolomics Core Facility, Michigan State University, 603 Wilson Road, East Lansing, MI, 48824, USA
                [13 ]Department of Plant Biology, Rutgers University, 59 Dudley Road, New Brunswick, NJ, 08901, USA
                [14 ]Philip E. Marucci Center for Blueberry and Cranberry Research and Extension, Rutgers University, 125A Lake Oswego Road, Chatsworth, NJ, 08019, USA
                [15 ]Plant Resilience Institute, Michigan State University, 612 Wilson Road, East Lansing, MI, 48824 USA
                Author notes
                Correspondence address. Patrick P. Edger, E-mail: edgerpat@ 123456msu.edu , 1066 Bogue Street, Room A334 PSSB, East Lansing, MI 48824
                Author information
                http://orcid.org/0000-0001-5938-7180
                http://orcid.org/0000-0002-3460-8570
                http://orcid.org/0000-0001-6836-3041
                Article
                giz012
                10.1093/gigascience/giz012
                6423372
                30715294
                63d2715d-aa9f-4179-b2fc-4eb9b06acaac
                © The Author(s) 2019. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 September 2018
                : 18 December 2018
                : 18 January 2019
                Page count
                Pages: 15
                Funding
                Funded by: USDA-NIFA HATCH
                Award ID: 1009804
                Award ID: 1016057
                Funded by: USDA-NIFA AFRI
                Award ID: 1015241
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Award ID: 31560302
                Funded by: Inner Mongolia Major and Special Program of Science and Technology
                Award ID: 5163901
                Categories
                Research

                blueberry,vaccinium,phytonutrients,genome,haplotype-phased,tetraploid,polyploid,subgenome dominance

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