10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genome sequence of the potato pathogenic fungus Alternaria solani HWC-168 reveals clues for its conidiation and virulence

      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.

          Abstract

          Background

          Alternaria solani is a known air-born deuteromycete fungus with a polycyclic life cycle and is the causal agent of early blight that causes significant yield losses of potato worldwide. However, the molecular mechanisms underlying the conidiation and pathogenicity remain largely unknown.

          Results

          We produced a high-quality genome assembly of A. solani HWC-168 that was isolated from a major potato-producing region of Northern China, which facilitated a comprehensive gene annotation, the accurate prediction of genes encoding secreted proteins and identification of conidiation-related genes. The assembled genome of A. solani HWC-168 has a genome size 32.8 Mb and encodes 10,358 predicted genes that are highly similar with related Alternaria species including Alternaria arborescens and Alternaria brassicicola. We identified conidiation-related genes in the genome of A. solani HWC-168 by searching for sporulation-related homologues identified from Aspergillus nidulans. A total of 975 secreted protein-encoding genes, which might act as virulence factors, were identified in the genome of A. solani HWC-168. The predicted secretome of A. solani HWC-168 possesses 261 carbohydrate-active enzymes (CAZy ), 119 proteins containing RxLx[EDQ] motif and 27 secreted proteins unique to A. solani.

          Conclusions

          Our findings will facilitate the identification of conidiation- and virulence-related genes in the genome of A. solani. This will permit new insights into understanding the molecular mechanisms underlying the A. solani-potato pathosystem and will add value to the global fungal genome database.

          Electronic supplementary material

          The online version of this article (10.1186/s12866-018-1324-3) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references49

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

          CAZymes Analysis Toolkit (CAT): web service for searching and analyzing carbohydrate-active enzymes in a newly sequenced organism using CAZy database.

          The Carbohydrate-Active Enzyme (CAZy) database provides a rich set of manually annotated enzymes that degrade, modify, or create glycosidic bonds. Despite rich and invaluable information stored in the database, software tools utilizing this information for annotation of newly sequenced genomes by CAZy families are limited. We have employed two annotation approaches to fill the gap between manually curated high-quality protein sequences collected in the CAZy database and the growing number of other protein sequences produced by genome or metagenome sequencing projects. The first approach is based on a similarity search against the entire nonredundant sequences of the CAZy database. The second approach performs annotation using links or correspondences between the CAZy families and protein family domains. The links were discovered using the association rule learning algorithm applied to sequences from the CAZy database. The approaches complement each other and in combination achieved high specificity and sensitivity when cross-evaluated with the manually curated genomes of Clostridium thermocellum ATCC 27405 and Saccharophagus degradans 2-40. The capability of the proposed framework to predict the function of unknown protein domains and of hypothetical proteins in the genome of Neurospora crassa is demonstrated. The framework is implemented as a Web service, the CAZymes Analysis Toolkit, and is available at http://cricket.ornl.gov/cgi-bin/cat.cgi.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Genetic control of asexual sporulation in filamentous fungi.

            Asexual sporulation (conidiation) in the ascomycetous filamentous fungi involves the formation of conidia, formed on specialized structures called conidiophores. Conidiation in filamentous fungi involves many common themes including spatial and temporal regulation of gene expression, specialized cellular differentiation, intra-/inter-cellular communications, and response to environmental factors. The commencement, progression and completion of conidiation are regulated by multiple positive and negative genetic elements that direct expression of genes required for proper vegetative growth and the assembly of the conidiophore and spore maturation. Light is one of the key environmental factors affecting conidiation. Developmental mechanisms in Aspergillus nidulans and Neurospora crassa have been intensively studied, leading to important outlines. Here, we summarize genetic control of conidiation including the light-responding mechanisms in the two model fungi. Copyright © 2012 Elsevier Ltd. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome

              Background A large number of gene prediction programs for the human genome exist. These annotation tools use a variety of methods and data sources. In the recent ENCODE genome annotation assessment project (EGASP), some of the most commonly used and recently developed gene-prediction programs were systematically evaluated and compared on test data from the human genome. AUGUSTUS was among the tools that were tested in this project. Results AUGUSTUS can be used as an ab initio program, that is, as a program that uses only one single genomic sequence as input information. In addition, it is able to combine information from the genomic sequence under study with external hints from various sources of information. For EGASP, we used genomic sequence alignments as well as alignments to expressed sequence tags (ESTs) and protein sequences as additional sources of information. Within the category of ab initio programs AUGUSTUS predicted significantly more genes correctly than any other ab initio program. At the same time it predicted the smallest number of false positive genes and the smallest number of false positive exons among all ab initio programs. The accuracy of AUGUSTUS could be further improved when additional extrinsic data, such as alignments to EST, protein and/or genomic sequences, was taken into account. Conclusion AUGUSTUS turned out to be the most accurate ab initio gene finder among the tested tools. Moreover it is very flexible because it can take information from several sources simultaneously into consideration.
                Bookmark

                Author and article information

                Contributors
                adaiadai.1987@163.com
                hejiayu.h@163.com
                Parham.Haddadi@AGR.GC.CA
                zhujiehua356@126.com
                bdyzh@hebau.edu.cn
                lisong.ma@anu.edu.au
                Journal
                BMC Microbiol
                BMC Microbiol
                BMC Microbiology
                BioMed Central (London )
                1471-2180
                6 November 2018
                6 November 2018
                2018
                : 18
                : 176
                Affiliations
                [1 ]ISNI 0000 0001 2291 4530, GRID grid.274504.0, Center of Plant Disease and Plant Pests of Hebei Province, College of Plant Protection, , Hebei Agricultural University, ; Baoding, 071001 China
                [2 ]ISNI 0000 0001 1302 4958, GRID grid.55614.33, Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada, ; Saskatoon, SK S7N0X2 Canada
                Article
                1324
                10.1186/s12866-018-1324-3
                6219093
                30400851
                3955e7c1-14c2-4274-949a-e52c71ca3888
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

                History
                : 8 May 2018
                : 22 October 2018
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Microbiology & Virology
                alternaria solani,genome sequence,secretome,conidiation,virulence
                Microbiology & Virology
                alternaria solani, genome sequence, secretome, conidiation, virulence

                Comments

                Comment on this article