Biology subjects

Hernandez-Raquet, G.

Publications and source records attributed to Hernandez-Raquet, G..

3 recordsLinked to original sources

bioRxiv2026

SPA-C: an hybrid tool to accurately scaffold genomes using Hi-C and Deep-Learning

Genome assembly is a computational pipeline designed to reconstruct chromosomes from small sequencing reads. Following their assembly, contiguous sequences (contigs) are arranged into chromosome-long sequences during scaffolding. Hi-C, a long-range linkage information between regions of the genome widely used in recent large sequencing projects, is often required to correctly order contigs. Several tools have been developed to automate this task following either statistical or deep-learning approaches. Statistical approaches summarise 2D Hi-C matrices into contact densities across sequences, thus ignoring informative visual patterns. The sole existing deep-learning tool uses a transformer-based computer vision model to correct the assembly. It has been trained on several species and uses Hi-C matrices directly. Yet it comes as a supplementary step in the scaffolding process, introducing extra computation time, and has been trained on a dataset that might contain labelling errors, which could provide sub-optimal results. We propose SPA-C, an hybrid pipeline combining the strengths of both approaches. Linkage prediction is handled with a frugal CNN-based model and a graph-solving algorithm is used to generate the scaffolds. Through our inputs design, the model is able to both correct errors within assemblies and link contigs, leveraging small, local Hi-C contact matrices. We handled low-complexity regions that might induce erroneous predictions using an external tool, improving the overall accuracy of generated assemblies. On a benchmark of six various genomes and four standard metrics, SPA-C outperformed four out of four state-of-the-art methods while achieving comparable start-to-end computation time. Python and Bash scripts are available on GitHub (github.com/SPA-C/SPA-C.git) and Zenodo (10.5281/zenodo.19000361).

bioinformatics↗

bioRxiv2025

Critical Assessment of MetaProteome Investigation 2 (CAMPI-2): Multi-laboratory assessment of sample processing methods to stabilize fecal microbiome for functional analysis

BackgroundFecal samples are widely used as a proxy for studying gut microbiome composition in both human and animal research. Fecal metaproteomics provides valuable insights by tracking changes in the relative abundance of microbial taxa and their protein functions. To ensure reliable results, it is crucial to minimize alterations in the metaproteome occurring from sample collection to protein extraction. Therefore, employing effective stabilization methods is essential to preserve the integrity of the fecal metaproteome from sample collection to laboratory analysis, particularly over long distances or when rapid freezing options are not readily available. In line with these needs, the second edition of the Critical Assessment of MetaProteome Investigation (CAMPI-2) was specifically focused on testing sample stabilization protocols to be applied before metaproteomic analysis. ResultsThis collaborative multicenter study assessed the ability of five different stabilization methods, based on two commercial devices and three specific reagents (acetone, lithium dodecyl sulfate, and an RNAlater-like buffer), respectively, to stabilize the fecal metaproteome during room-temperature storage (14 days) and shipment to mass spectrometry facilities. The five methods were tested simultaneously by eight different laboratories across Europe, using aliquots from the same fecal sample. After protein extraction and digestion, duplicate aliquots of the resulting peptides were analyzed independently by two mass spectrometry facilities at distinct international locations. Analysis of the mass spectrometric data using two different search engines revealed that the fecal metaproteome profile differed considerably depending on the stabilization method used in terms of richness, alpha and beta diversity, reproducibility, and quantitative distribution of main taxa and functions. Although each method showed unique strengths and weaknesses, a commercial swab-based device stood out for its remarkable reproducibility and ranked highest for most of the metrics measured. ConclusionsCAMPI-2 allowed a robust evaluation of five different methods for preserving fecal metaproteome samples. The present investigation provides useful data for the design of metaproteomics and multi-omics studies where fecal sampling cannot be immediately followed by long-term storage at -80{degrees}C. Further optimization of the tested protocols is necessary to improve stabilization efficiency and control bias in the taxonomic and functional profile of the gut microbiome.

microbiology↗

bioRxiv2024

Functional exploration of in vivo and in vitro lignocellulose-fed rumen bacterial microbiomes reveals novel enzymes involved in polysaccharide breakdown

BackgroundPlant cell walls are the main carbon sources for ruminal bacteria, which have evolved to produce sophisticated multi-functional enzyme cocktails in response to the structural diversity of lignocelulloses. Since a large proportion of ruminal bacteria are not yet cultured, we developed a high-throughput activity-based metagenomic approach to gain insight into this enzymatic diversity. ResultsA multi-step screening methodology was implemented to identify metagenomic clones acting on polysaccharides and polyaromatic compounds. This approach was used to explore the functional potential of two different microbial consortia derived from in vivo and in vitro enrichments of the bovine rumen microbiome on wheat straw. One hundred and sixty-eight fosmid clones were isolated from libraries. Five to seven times more {beta}-mannanase and {beta}-glucanase clones, and seven times less xylanase clones were obtained from the in vitro enrichment compared to the in vivo one. The sequencing of 51 fosmids, covering in total 1.4 Gb of metagenomic DNA, enabled the identification of various novel glycoside-hydrolases, esterases and oxidoreductases mostly encoded by unknown bacterial genera. Functional analysis showed that most of the identified xylanases belonged to Firmicutes members that were not enriched in the fermenter, while most cellulases and mannanases originate from Bacteroidetes. ConclusionThese enzymes, that, for most of them, had not been previously identified by in depth-metagenome sequencing, present a high potential for biotechnological applications, as they could be used alone or in cocktails to break down plant cell walls. The relationships established between enzyme function and taxonomy highlight the complementary roles played by ruminal Firmicutes and Bacteroidetes in plant cell wall degradation.

biochemistry↗