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Genome Sequence and Comparative Analysis of Clavicipitaceous Insect- Pathogenic Fungus Aschersonia Badia with Metarhizium Spp

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Genome Sequence and Comparative Analysis of Clavicipitaceous Insect- Pathogenic Fungus Aschersonia Badia with Metarhizium Spp Agrawal et al. BMC Genomics (2016) 17:367 DOI 10.1186/s12864-016-2710-6 RESEARCH ARTICLE Open Access Genome sequence and comparative analysis of clavicipitaceous insect- pathogenic fungus Aschersonia badia with Metarhizium spp. Yamini Agrawal, Tarun Narwani and Srikrishna Subramanian* Abstract Background: Aschersonia badia [(Ab)Teleomorph:Hypocrella siamensis] is an entomopathogenic fungus that specifically infects scale insects and whiteflies. We present the whole genome sequence of Ab and its comparison with two clavicipitaceous fungi Metarhizium robertsii (MR: generalist entomopathogen) and M. acridum (MAC: acridid-specific entomopathogen) that exhibit variable host preferences. Here, through comparative analysis of pathogen-host interacting genes, carbohydrate active enzymes, secondary metabolite biosynthesis genes, and sexuality genes, we explore the proteins with possible virulence functions in clavicipitaceous fungi. Comprehensive overview of GH18 family chitinases has been provided to decipher the role of chitinases in claviceptaceous fungi that areeitherhostspecificorgeneralists. Results: We report the 28.8 Mb draft genome of Ab and its comparative genome analysis with MR and MAC. The comparative analyses suggests expansion in pathogen-host interacting gene families and carbohydrate active enzyme families in MR,whilsttheircontractioninAb and MAC genomes. The multi-modular NRPS gene (dtxS1) responsible for biosynthesis of the secondary metabolite destruxin in MR is not conserved in Ab, similar to the specialist pathogen MAC. An additional siderophore biosynthetic gene responsible for acquisition of iron was identified in MR. Further, the domain survey of chitinases suggest that the CBM50 (LysM) domains, which participate in chitin-binding functions, were not observed in MAC, but were present in Ab and MR. However, apparent differences in frequency of CBM50 domains associated with chitinases of Ab and MR was identified, where MR chitinases displayed a higher proportion of associated CBM50 domains than Ab chitinases. Conclusions: This study suggests differences in distribution of dtxS1 and chitinases in specialists (Ab and MAC)and generalists (MR) fungi. Our analysis also suggests the presence of a siderophore biosynthetic gene in the MR genome which perhaps aids in enhanced virulence potential and host range. The variation in association of CBMs, being higher in generalists (MR) and lower in specialists (Ab and MAC) fungi may further be responsible for the differences in host affiliation. Keywords: Chitinase, Destruxin, Host-specificity, Pathogen-host interactions * Correspondence: [email protected] CSIR-Institute of Microbial Technology, Sector 39-A, Chandigarh 160036, India © 2016 Agrawal et al. Open Access This 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. Agrawal et al. BMC Genomics (2016) 17:367 Page 2 of 15 Background [15]. Metarhizium spp. are known to be prolific producers The fungal family Clavicipitaceae (Hypocreales, Ascomy- of chitinases, and many of the MR chitinases have been cota) includes many insect-pathogens such as Metarhizium suggested to be involved in pathogenicity [16, 17]. spp. and these fungi have been exploited for their mycoin- However, in-depth analysis of chitinases and their relation secticidal abilities. Family Clavicipitaceae, as defined in with pathogenic lifestyles of clavicipitaceous entomo- modern taxonomy [Clavicipitaceae sensu stricto (s.s.)], in- pathogens have not been explored. Therefore, in the cludes three lineages specific to scale insects and whiteflies, present study, we explore the diversity of chitinases referred to as Hypocrella, Regiocrella and Torrubiella; and in Ab, MAC and MR. one generalist lineage, referred to as Metacordyceps [1]. In this study, we have selected Aschersonia badia (Ab), Methods an insect-pathogenic fungus belonging to the Hypocrella Fungal strain and maintenance lineage for whole genome sequencing. Ab strain MTCC 10142 was retrieved from the Microbial Aschersonia spp. are insect-pathogenic fungi that spe- Type Culture Collection (MTCC), CSIR-Institute of cifically infect whiteflies (Homoptera, Aleyrodidae) and Microbial Technology, Chandigarh, India. As per MTCC scale insects (Homoptera, Coccidae). These are predom- records, the Ab strain was isolated from Homopteran inately found in tropical and sub-tropical areas. Ascher- larva. Fungal culture was grown on potato dextrose agar sonia spp. [A. aleyrodis (Teleomorph: Hypocrella libera)] medium and incubated at 25 °C for 20–25 days. DNA were one of the first fungal entomopathogens utilized as isolation from the fresh mycelia was performed using ZR a biocontrol agent [2] and was reported as the cause of Fungal/Bacterial DNA kit (Zymo Research, Catalogue epizootics amongst whitefly populations in greenhouses number D6005) as per the instructions provided in and guava and citrus groves during the 20th century in user manual. various parts of the world such as Azerbaijan, Bulgaria, China, Florida, Jamaica, Japan and Russia [3–6]. More- Genome sequencing, assembly and annotation over, Aschersonia spp. show adaptation to low relative 2x100 paired-end shotgun sequencing (average insert size humidity [7], perseverance on plant exteriors [8], and of 350 bp) of the Ab genome was performed using compatibility with insect parasitoids [9] in the manage- Illumina HiSeq 1000 technology at the Centre for Cellular ment of whitefly pests. However, these fungi take a long and Molecular Platforms (C-CAMP) Bangalore, India. time to grow in culture, and are not effective against all The reads were filtered using NGS QC Toolkit v2.2.3 [18] host stages and this has limited their successful exploit- with length cutoff 70 % and base call quality greater ation against insect pests [10]. than 20; reads were also trimmed for adapters using Metarhizium spp. (Clavicipitaceae s.s., Metacordyceps) FastQC [19] and CLCbio wb6.0 genomics workbench are well known entomopathogenic fungi and are best (http://www.clcbio.com). The datasets were filtered for suited targets for biocontrol measures. Metarhizium the presence of reads from bacterial DNA that may robertsii (MR: previous name M. anisopliae) is a broad- be present as contaminants. These were then further spectrum insect pathogenic fungus that has been ap- processed for genome assembly. The high quality reads proved by the United States Environmental Protection were assembled into contigs using SPAdes 2.5.1 [20]. Agency (USEPA) as an active ingredient for pest control Before running SPAdes as an assembler, its 'read-error- [11, 12]. M. acridum (MAC) is a specialist pathogen correction’ module was used to rectify any orientation against locust [13]. These diverse features of clavicipitac- issues and InDels in the paired reads. Then its Assembly eous entomopathogens drive our interest towards com- protocol was run at K-mer range 51–69 with step of +2 parison of Ab genome with the MAC and MR genomes and ‘–careful’ option. The contigs obtained from these that are adapted to different host ranges and lifestyles in assemblies were scaffolded using SSPACE v2.0 [21]. Com- order to get insights into the evolution of host affiliation pleteness measure was predicted using Core Eukaryotic of fungal entomopathogenicity. Genes Mapping Approach (CEGMA) v2.5 with default Fungal entomopathogens are known to exhibit contact- parameters [22]. based infection through the host cuticle unlike bacterial Genome annotation was performed using MAKER and viral entomopathogens which are required to be pipeline with Augustus as the gene predictor [23, 24]. ingested by the target pest [14]. The primary structural Fusarium graminearum (Fg) was selected, as a model for component of host cuticle (arthropod exoskeleton) and gene calling, from the Augustus pre-trained dataset. EST cell walls of filamentous fungi is chitin which is the second and protein homology evidence of Fg was also provided most abundant natural biopolymer after cellulose. Enzym- to MAKER. The repeats were masked using RepeatMas- atic degradation is a crucial step in entry of the fungal ker v4.0.3 (http://www.repeatmasker.org/). MAC CQMa spore into the insect body where chitinases play an im- 102 (PRJNA38715) and MR (PRJNA230500) genomes portant role in hydrolyzing the chitin-rich insect cuticle were reannotated using the same methodology for Agrawal et al. BMC Genomics (2016) 17:367 Page 3 of 15 consistency. Both reannotated and the original set of antiSMASH server [32]. Pathogen Host interacting (PHI) genes/proteins from MAC and MR genomes were used for partners were identified by subjecting the predicted pro- the computational analyses. The predicted proteins were teomes to BLASTp against the PHI database [33] v3.6 − subjected to BLASTp against the non-redundant (nr) data- with an E-value threshold of 10 5. The domain architec- base at the National Centre for Biotechnology Information ture of chitinases and destruxins were annotated using the − (NCBI) using an E-value cutoff of 10 5.Thedraftgenome Pfam v27.0 and SMART
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