Extreme Scale De Novo Metagenome Assembly

Metagenome assembly is the process of transforming a set of short, overlapping, and potentially erroneous DNA segments from environmental samples into the accurate representation of the underlying microbiomes's genomes. State-of-the-art tools require big shared memory machines and cannot handle contemporary metagenome datasets that exceed Terabytes in size. In this paper, we introduce the MetaHipMer pipeline, a high-quality and high-performance metagenome assembler that employs an iterative de Bruijn graph approach. MetaHipMer leverages a specialized scaffolding algorithm that produces long scaffolds and accommodates the idiosyncrasies of metagenomes. MetaHipMer is end-to-end parallelized using the Unified Parallel C language and therefore can run seamlessly on shared and distributed-memory systems. Experimental results show that MetaHipMer matches or outperforms the state-of-the-art tools in terms of accuracy. Moreover, MetaHipMer scales efficiently to large concurrencies and is able to assemble previously intractable grand challenge metagenomes. We demonstrate the unprecedented capability of MetaHipMer by computing the first full assembly of the Twitchell Wetlands dataset, consisting of 7.5 billion reads - size 2.6 TBytes.Comment: Accepted to SC1

Mauve Assembly Metrics

Summary: High-throughput DNA sequencing technologies have spurred the development of numerous novel methods for genome assembly. With few exceptions, these algorithms are heuristic and require one or more parameters to be manually set by the user. One approach to parameter tuning involves assembling data from an organism with an available high-quality reference genome, and measuring assembly accuracy using some metrics

iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria

The extraordinary diversity of viruses infecting bacteria and archaea is now primarily studied through metagenomics. While metagenomes enable high-throughput exploration of the viral sequence space, metagenome-derived sequences lack key information compared to isolated viruses, in particular host association. Different computational approaches are available to predict the host(s) of uncultivated viruses based on their genome sequences, but thus far individual approaches are limited either in precision or in recall, i.e., for a number of viruses they yield erroneous predictions or no prediction at all. Here, we describe iPHoP, a two-step framework that integrates multiple methods to reliably predict host taxonomy at the genus rank for a broad range of viruses infecting bacteria and archaea, while retaining a low false discovery rate. Based on a large dataset of metagenome-derived virus genomes from the IMG/VR database, we illustrate how iPHoP can provide extensive host prediction and guide further characterization of uncultivated viruses

Strand-Specific RNA-Seq Analyses of Fruiting Body Development in Coprinopsis cinerea

The basidiomycete fungus Coprinopsis cinerea is an important model system for multicellular development. Fruiting bodies of C. cinerea are typical mushrooms, which can be produced synchronously on defined media in the laboratory. To investigate the transcriptome in detail during fruiting body development, high-throughput sequencing (RNA-seq) was performed using cDNA libraries strand-specifically constructed from 13 points (stages/tissues) with two biological replicates. The reads were aligned to 14,245 predicted transcripts, and counted for forward and reverse transcripts. Differentially expressed genes (DEGs) between two adjacent points and between vegetative mycelium and each point were detected by Tag Count Comparison (TCC). To validate RNA-seq data, expression levels of selected genes were compared using RPKM values in RNA-seq data and qRT-PCR data, and DEGs detected in microarray data were examined in MA plots of RNA-seq data by TCC. We discuss events deduced from GO analysis of DEGs. In addition, we uncovered both transcription factor candidates and antisense transcripts that are likely to be involved in developmental regulation for fruiting

El análisis de 52 genomas fúngicos aclara la evolución de los estilos de vida de los Agaricales

1 p.Los Agaricomycetes han desarrollado complejas maquinarias enzimáticas que les permiten descomponer los diferentes polímeros vegetales, incluida la lignina. Entre ellos, los Agaricales saprótrofos se caracterizan por su diversidad de hábitats y estilos de vida. El análisis de 52 genomas de Agaricomycetes aquí realizado revela que los Agaricales poseen una gran diversidad de enzimas hidrolíticas y oxidativas para la descomposición de la lignocelulosa. En base a las familias de genes con mayor velocidad evolutiva (dominios de unión a celulosa, glicosil hidrolasa GH43, monooxigenasas líticas de polisacáridos, peroxidasas ligninolíticas, enzimas de la superfamilia de glucosa-metanol-colina oxidasas/deshidrogenasas, lacasas y peroxigenasas), reconstruimos los estilos de vida de los ancestros que dieron lugar a los actuales Agaricomycetes degradadores de lignocelulosa. Los cambios en el conjunto de herramientas enzimáticas de los Agaricales ancestrales se correlacionaron con la evolución de su capacidad para crecer no solo sobre madera, sino también sobre hojarasca de bosques y madera en descomposición, siendo los descomponedores de la hojarasca de praderas el grupo ecofisiológico más reciente. En este contexto, las anteriores familias de enzimas se analizaron en relación con la diversidad de estilos de vida. Las peroxidasas aparecen como un componente central del set enzimático de los Agaricomycetes saprotrófos, consistente con su papel esencial en la degradación de la lignina y sus altas tasas evolutivas. Esto incluye no solo expansiones/pérdidas de genes de peroxidasas, sino también la presencia generalizada en Agaricales de nuevos tipos de peroxidasas que no se encuentran en Polyporales degradadores de madera, y en otros órdenes de Agaricomycetes.Projectos/contratos BIO2017-86559-R, BIO2015-73697-JIN, AGL2014-55971-R, NSF-grant-1457721, CEFOX-031B0831B, PIE-201620E081, ANR-11-LABX-0002-01, US-DOE-DE-AC02-05CH11231Peer reviewe

Lifestyle Evolution And Peroxidase Diversity In Agaricales As Revealed By Comparative Genomics

Descripción de 1 páginas de la comunicación oral presentada en Oxizymes2022 10th edition of the international “Oxizymes” meeting. Siena, Italy, July 5-8, 2022Basidiomycetes of the class Agaricomycetes have developed complex enzymatic machineries that allow them to decompose plant polymers, including lignin. Within this group, saprotrophic Agaricales are characterized by an unparalleled diversity of habitats and lifestyles in comparison with fungi from other orders. With the aim of shedding light on the evolution of lignocellulose-decaying lifestyles in Agaricales we conducted a comparative analysis of 52 Agaricomycetes genomes [1]. This study revealed that Agaricales possess a large diversity of hydrolytic and oxidative enzymes. Surprisingly, computer-assisted gene-family evolution analysis of these enzymes revealed that a few oxidoreductase families showed significantly higher evolutionary rates. Based on these gene families we reconstructed the lifestyles of the ancestors that led to the extant lignocellulose-decomposing Agaricomycetes. According to this, we determined that changes in the oxidative enzymatic toolkit of ancestral Agaricales correlate with the evolution of their ability to grow not only on wood, but also on leaf and grass litter and decayed wood. In this context, the aboye families were analyzed and special attention was paid to peroxidases as a central component of the enzymatic toolkit of saprotrophic Agaricomycetes responsible for lignin degradation. We identified a widespread presence of new ligninolytic peroxidase types in Agaricales, some of them not previously identified in this order, and others also not found in woodrottingPolyporales and other orders of Agaricomycetes. Peroxidase evolution was analyzed in Agaricomycetes by ancestral sequence reconstruction and several major evolutionary pathways were unveiled. The study of the newly identified peroxidases will provide insight into their role in the lignin degradation process. In fact, these studies have already been initiated with the expression and characterization of the first lignin peroxidase identified in Agaricales. [1] Ruiz-Dueñas FJ, Barrasa JM, Sánchez-García M, Camarero S, Miyauchi S, Serrano A, et al., 2021, Mol Biol Evol, 38, 1428-1446.Projects/contracts BI02017-86559-R, BI02015-7369-JIN, AGL2014-55971-R, NSFgrant-1457721 , CEFOX-031 B0831 S, PIE-201620E081 , ANR-11-LABX-0002-01 , US-DOE-DE-AC02-05CH11231N