bioRxivBioinformaticsPreprint
Tracing the taxonomic distribution of plant cell wall degrading enzymes across the tree of life using feature architecture aware orthology assignments
Vinh Tran, Felix LangschiediD, Hannah MuelbaieriD, Julian DoschiD, Freya ArtheniD, Miklós BálintiD, Ingo EbersbergeriD
Abstract
The decomposition of plant material is a key driver of the global carbon cycle, traditionally attributed to fungi and bacteria. However, some invertebrates also possess orthologs to bacterial or fungal cellulolytic enzymes, likely acquired via horizontal gene transfer. This reticulated mode of evolution necessitates ortholog searches in large taxon sets to comprehensively map the repertoire of plant cell wall degrading enzymes (PCDs) across the tree of life, a task surpassing capacities of current software. Here, we use fDOG, a novel profile-based ortholog search tool to trace 235 potential PCDs across more than 18,000 taxa. fDOG allows to start the ortholog search from a single protein sequence as a seed, it performs on par with state-of-the-art software that require the comparison of entire proteomes, and it is unique in routinely scoring protein feature architecture differences between the seed protein and its orthologs. Visualizing the presence-absence patterns of PCD orthologs using a UMAP highlights taxa where recent changes in the enzyme repertoire indicate a change in lifestyle. Three invertebrates have a particularly rich set of PCD orthologs encoded in their genome. Only few of the orthologs show differing protein feature architectures relative to the seed that suggest functional modifications. Thus, the corresponding species represent lineages within the invertebrates that may contribute to the global carbon cycle. This study shows how fDOG can be used to create a multi-scale view on the taxonomic distribution of a metabolic capacity that ranges from tree of life-wide surveys to individual feature architecture changes within a species.
- assay: protein sequence
- research focus: benchmarking
- research focus: database / resource
- approach: statistical model
- Citations
- 4
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Inference of phenotype-defining functional modules of protein families for microbial plant biomass degraders
Sebastian Gil Anthony Konietzny, Phillip Byron Pope, … Alice Carolyn McHardy·Biotechnology for BiofuelsPeer-reviewed·Sep 9, 2014
- The draft genome of the invasive walking stick, Medauroidea extradendata, reveals extensive lineage-specific gene family expansions of cell wall degrading enzymes in Phasmatodea
Philipp Brand, Wei Lin, Brian R. Johnson·G3 Genes Genomes GeneticsPeer-reviewed·Mar 27, 2018
- Functional analyses of the horizontally acquired Phytophaga glycoside hydrolase family 45 (GH45) proteins reveal distinct functional characteristics
André Busch, Étienne Danchin, Yannick Pauchet·BMC Evolutionary BiologyPeer-reviewed·May 10, 2019
- Carbohydrate active enzymes in Pectobacteriaceae: coevolving enzyme sets and host adaptation
Emma Hobbs, T.M. Gloster, Leighton Pritchard·bioRxiv·May 12, 2026
- Plastid genome evolution in leafless members of the orchid subfamily Orchidoideae, with a focus on Degranvillea dermaptera
C. F. Barrett·bioRxiv·Nov 3, 2023
- Development of Advanced Bioinformatic Profiles to Improve the Detection and Functional Understanding of Fungal Acid Phosphatases
Tamara Gómez‐Gallego, Zulema Udaondo, … Juan L. Ramos·bioRxiv·Aug 21, 2025