23
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Linking secondary metabolites to gene clusters through genome sequencing of six diverseAspergillusspecies

      Read this article at

      ScienceOpenPublisherPMC
      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

          <p id="d10139028e546">The genus of <i>Aspergillus</i> holds fungi relevant to plant and human pathology, food biotechnology, enzyme production, model organisms, and a selection of extremophiles. Here we present six whole-genome sequences that represent unexplored branches of the <i>Aspergillus</i> genus. The comparison of these genomes with previous genomes, coupled with extensive chemical analysis, has allowed us to identify genes for toxins, antibiotics, and anticancer compounds, as well as show that <i>Aspergillus novofumigatus</i> is potentially as pathogenic as <i>Aspergillus fumigatus</i>, and has an even more diverse set of secreted bioactive compounds. The findings are of interest to industrial biotechnology and basic research, as well as medical and clinical research. </p><p class="first" id="d10139028e561">The fungal genus of <i>Aspergillus</i> is highly interesting, containing everything from industrial cell factories, model organisms, and human pathogens. In particular, this group has a prolific production of bioactive secondary metabolites (SMs). In this work, four diverse <i>Aspergillus</i> species ( <i>A. campestris</i>, <i>A. novofumigatus</i>, <i>A. ochraceoroseus</i>, and <i>A. steynii</i>) have been whole-genome PacBio sequenced to provide genetic references in three <i>Aspergillus</i> sections. <i>A. taichungensis</i> and <i>A. candidus</i> also were sequenced for SM elucidation. Thirteen <i>Aspergillus</i> genomes were analyzed with comparative genomics to determine phylogeny and genetic diversity, showing that each presented genome contains 15–27% genes not found in other sequenced Aspergilli. In particular, <i>A. novofumigatus</i> was compared with the pathogenic species <i>A. fumigatus</i>. This suggests that <i>A. novofumigatus</i> can produce most of the same allergens, virulence, and pathogenicity factors as <i>A. fumigatus</i>, suggesting that <i>A. novofumigatus</i> could be as pathogenic as <i>A. fumigatus</i>. Furthermore, SMs were linked to gene clusters based on biological and chemical knowledge and analysis, genome sequences, and predictive algorithms. We thus identify putative SM clusters for aflatoxin, chlorflavonin, and ochrindol in <i>A. ochraceoroseus</i>, <i>A. campestris</i>, and <i>A. steynii</i>, respectively, and novofumigatonin, <i>ent</i>-cycloechinulin, and <i>epi</i>-aszonalenins in <i>A. novofumigatus</i>. Our study delivers six fungal genomes, showing the large diversity found in the <i>Aspergillus</i> genus; highlights the potential for discovery of beneficial or harmful SMs; and supports reports of <i>A. novofumigatus</i> pathogenicity. It also shows how biological, biochemical, and genomic information can be combined to identify genes involved in the biosynthesis of specific SMs. </p>

          Related collections

          Most cited references39

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

          Fast algorithms for large-scale genome alignment and comparison.

          We describe a suffix-tree algorithm that can align the entire genome sequences of eukaryotic and prokaryotic organisms with minimal use of computer time and memory. The new system, MUMmer 2, runs three times faster while using one-third as much memory as the original MUMmer system. It has been used successfully to align the entire human and mouse genomes to each other, and to align numerous smaller eukaryotic and prokaryotic genomes. A new module permits the alignment of multiple DNA sequence fragments, which has proven valuable in the comparison of incomplete genome sequences. We also describe a method to align more distantly related genomes by detecting protein sequence homology. This extension to MUMmer aligns two genomes after translating the sequence in all six reading frames, extracts all matching protein sequences and then clusters together matches. This method has been applied to both incomplete and complete genome sequences in order to detect regions of conserved synteny, in which multiple proteins from one organism are found in the same order and orientation in another. The system code is being made freely available by the authors.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            SMURF: Genomic mapping of fungal secondary metabolite clusters.

            Fungi produce an impressive array of secondary metabolites (SMs) including mycotoxins, antibiotics and pharmaceuticals. The genes responsible for their biosynthesis, export, and transcriptional regulation are often found in contiguous gene clusters. To facilitate annotation of these clusters in sequenced fungal genomes, we developed the web-based software SMURF (www.jcvi.org/smurf/) to systematically predict clustered SM genes based on their genomic context and domain content. We applied SMURF to catalog putative clusters in 27 publicly available fungal genomes. Comparison with genetically characterized clusters from six fungal species showed that SMURF accurately recovered all clusters and detected additional potential clusters. Subsequent comparative analysis revealed the striking biosynthetic capacity and variability of the fungal SM pathways and the correlation between unicellularity and the absence of SMs. Further genetics studies are needed to experimentally confirm these clusters. 2010 Elsevier Inc. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The chalcone synthase superfamily of type III polyketide synthases.

              This review covers the functionally diverse type III polyketide synthase (PKS) superfamily of plant and bacterial biosynthetic enzymes. from the discovery of chalcone synthase (CHS) in the 1970s through the end of 2001. A broader perspective is achieved by a comparison of these CHS-like enzymes to mechanistically and evolutionarily related families of enzymes, including the type I and type II PKSs, as well as the thiolases and beta-ketoacyl synthases of fatty acid metabolism. As CHS is both the most frequently occurring and best studied type III PKS, this enzyme's structure and mechanism is examined in detail. The in vivo functions and biological activities of several classes of plant natural products derived from chalcones are also discussed. Evolutionary mechanisms of type III PKS divergence are considered, as are the biological functions and activities of each of the known and functionally divergent type III PKS enzymc families (currently twelve in plants and three in bacteria). A major focus of this review is the integration of information from genetic and biochemical studies with the unique insights gained from protein X-ray crystallography and homology modeling. This structural approach has generated a number of new predictions regarding both the importance and mechanistic role of various amino acid substitutions observed among functionally diverse type III PKS enzymes.
                Bookmark

                Author and article information

                Journal
                Proceedings of the National Academy of Sciences
                Proc Natl Acad Sci USA
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                January 23 2018
                January 23 2018
                : 115
                : 4
                : E753-E761
                Article
                10.1073/pnas.1715954115
                5789934
                29317534
                2bfa7985-ad61-498a-9059-59951ca2c7ed
                © 2018

                http://www.pnas.org/site/misc/userlicense.xhtml

                History

                Comments

                Comment on this article