Zack Saud1, Alexandra M Kortsinoglou2, Vassili N Kouvelis2, Tariq M Butt3. 1. Department of Biosciences, College of Science, Swansea University, Singleton Park, Swansea, Wales, SA2 8PP, UK. zack.saud@swansea.ac.uk. 2. Department of Genetics and Biotechnology, Faculty of Biology, National and Kapodistrian University of Athens, Panepistimiopolis, 15701, Athens, Greece. 3. Department of Biosciences, College of Science, Swansea University, Singleton Park, Swansea, Wales, SA2 8PP, UK. t.butt@swansea.ac.uk.
Abstract
BACKGROUND: More accurate and complete reference genomes have improved understanding of gene function, biology, and evolutionary mechanisms. Hybrid genome assembly approaches leverage benefits of both long, relatively error-prone reads from third-generation sequencing technologies and short, accurate reads from second-generation sequencing technologies, to produce more accurate and contiguous de novo genome assemblies in comparison to using either technology independently. In this study, we present a novel hybrid assembly pipeline that allowed for both mitogenome de novo assembly and telomere length de novo assembly of all 7 chromosomes of the model entomopathogenic fungus, Metarhizium brunneum. RESULTS: The improved assembly allowed for better ab initio gene prediction and a more BUSCO complete proteome set has been generated in comparison to the eight current NCBI reference Metarhizium spp. genomes. Remarkably, we note that including the mitogenome in ab initio gene prediction training improved overall gene prediction. The assembly was further validated by comparing contig assembly agreement across various assemblers, assessing the assembly performance of each tool. Genomic synteny and orthologous protein clusters were compared between Metarhizium brunneum and three other Hypocreales species with complete genomes, identifying core proteins, and listing orthologous protein clusters shared uniquely between the two entomopathogenic fungal species, so as to further facilitate the understanding of molecular mechanisms underpinning fungal-insect pathogenesis. CONCLUSIONS: The novel assembly pipeline may be used for other haploid fungal species, facilitating the need to produce high-quality reference fungal genomes, leading to better understanding of fungal genomic evolution, chromosome structuring and gene regulation.
BACKGROUND: More accurate and complete reference genomes have improved understanding of gene function, biology, and evolutionary mechanisms. Hybrid genome assembly approaches leverage benefits of both long, relatively error-prone reads from third-generation sequencing technologies and short, accurate reads from second-generation sequencing technologies, to produce more accurate and contiguous de novo genome assemblies in comparison to using either technology independently. In this study, we present a novel hybrid assembly pipeline that allowed for both mitogenome de novo assembly and telomere length de novo assembly of all 7 chromosomes of the model entomopathogenic fungus, Metarhizium brunneum. RESULTS: The improved assembly allowed for better ab initio gene prediction and a more BUSCO complete proteome set has been generated in comparison to the eight current NCBI reference Metarhizium spp. genomes. Remarkably, we note that including the mitogenome in ab initio gene prediction training improved overall gene prediction. The assembly was further validated by comparing contig assembly agreement across various assemblers, assessing the assembly performance of each tool. Genomic synteny and orthologous protein clusters were compared between Metarhizium brunneum and three other Hypocreales species with complete genomes, identifying core proteins, and listing orthologous protein clusters shared uniquely between the two entomopathogenic fungal species, so as to further facilitate the understanding of molecular mechanisms underpinning fungal-insect pathogenesis. CONCLUSIONS: The novel assembly pipeline may be used for other haploid fungal species, facilitating the need to produce high-quality reference fungal genomes, leading to better understanding of fungal genomic evolution, chromosome structuring and gene regulation.
Authors: Jian Ma; Louxin Zhang; Bernard B Suh; Brian J Raney; Richard C Burhans; W James Kent; Mathieu Blanchette; David Haussler; Webb Miller Journal: Genome Res Date: 2006-09-18 Impact factor: 9.043
Authors: John Eid; Adrian Fehr; Jeremy Gray; Khai Luong; John Lyle; Geoff Otto; Paul Peluso; David Rank; Primo Baybayan; Brad Bettman; Arkadiusz Bibillo; Keith Bjornson; Bidhan Chaudhuri; Frederick Christians; Ronald Cicero; Sonya Clark; Ravindra Dalal; Alex Dewinter; John Dixon; Mathieu Foquet; Alfred Gaertner; Paul Hardenbol; Cheryl Heiner; Kevin Hester; David Holden; Gregory Kearns; Xiangxu Kong; Ronald Kuse; Yves Lacroix; Steven Lin; Paul Lundquist; Congcong Ma; Patrick Marks; Mark Maxham; Devon Murphy; Insil Park; Thang Pham; Michael Phillips; Joy Roy; Robert Sebra; Gene Shen; Jon Sorenson; Austin Tomaney; Kevin Travers; Mark Trulson; John Vieceli; Jeffrey Wegener; Dawn Wu; Alicia Yang; Denis Zaccarin; Peter Zhao; Frank Zhong; Jonas Korlach; Stephen Turner Journal: Science Date: 2008-11-20 Impact factor: 47.728