Biology subjects

Pfeiffer, W.

Publications and source records attributed to Pfeiffer, W..

4 recordsLinked to original sources

bioRxiv2026

Independent origins of fish endothermy converge on a developmental regulatory signature

Why independent origins of the same complex physiological trait repeatedly produce similar body forms and physiological changes remains central in evolutionary biology. Endothermy, the internal production and retention of metabolic heat, evolved at least four times in ray-finned fishes, providing natural replicates for convergent genomic signatures. We present a chromosome-scale analysis of three transitions (opah, tunas, and swordfish), including a new chromosome-level genome of the rare, charismatic Pacific oarfish, analyzed with 31 other teleost genomes. The strongest signal is regulatory: of 253,680 conserved noncoding elements, 577 are rate-accelerated in endothermic lineages, with 67 accelerated in all three, exceeding matched ectothermic controls and enriched near developmental transcription factors and Wnt-signaling genes (e.g., irx1a, irx5a, her9, and lmo1). These elements overlap zebrafish developmental enhancers more than expected by chance but are not tied to genes emphasized by expression or coding-selection studies of endothermic lineages, marking a regulatory layer distinct from that metabolic layer. This convergence is part of a broader mosaic: endothermic lineages also share transition-biased substitution and convergent duplication signatures, including excess tandem duplications and lineage-specific gene-family expansion, whereas chromosome organization and protein-coding sequence change little. Endothermic convergence therefore leaves its clearest signal in regulatory remodeling, alongside shifts in substitution bias and gene-family evolution.

evolutionary biology↗

bioRxiv2026

Whole-genome phylogenomics and synteny resolve a single origin of body-plan asymmetry in flatfishes

Flatfishes display the most dramatic asymmetric body plan in vertebrates, yet whether this rare innovation evolved once (flatfish monophyly, FM) or multiple times (flatfish polyphyly, FP) has remained contentious. A recent genome-wide study supported FP by placing Psettodes, the earliest-diverging flatfish lineage, among symmetric relatives within Carangaria, the clade that also includes billfishes, jacks, mahi-mahi, and barracudas. Subsequent work traced this to base-composition artifacts and inadequate substitution modeling. Here we revisit the question using whole-genome phylogenomic and synteny data from 17 carangarian species spanning flatfishes and carangarian relatives. We contribute three new chromosome-level assemblies, including the first for Psettodes. Nucleotide-based coalescent analyses (e.g., ROADIES, CASTER) yield strong support for FM, with Psettodes sister to all other flatfishes. Microsynteny analyses built from conserved gene-order blocks corroborate this result: topology tests, cluster-profile counts, and rearrangement-based trees favor FM over two competing FP topologies. Macrosynteny, based on chromosome-scale rearrangements, yields a more mixed signal, with support for FM depending on the metric and taxon-sampling scheme. We interpret this scale-dependent pattern in the context of the explosive post-Cretaceous radiation of Carangaria. The short intervals between speciation events that characterize rapid radiations appear to have left sufficient signal in fine-grained microsyntenic rearrangements, while chromosome-scale rearrangements were too rare to consistently resolve these closely spaced splits. When integrated with evidence from conserved developmental mechanisms active during metamorphosis, the stage at which flatfish asymmetry first emerges, and from the exceptionally complete fossil record, our multi-scale genomic evidence supports a single evolutionary origin of flatfish asymmetry.

evolutionary biology↗

bioRxiv2021

RAxML Grove: An empirical Phylogenetic Tree Database

The assessment of novel phylogenetic models and inference methods is routinely being conducted via experiments on simulated as well as empirical data. When generating synthetic data it is often unclear how to set simulation parameters for the models and generate trees that appropriately reflect empirical model parameter distributions and tree shapes. As a solution, we present and make available a new database called RAxML Grove currently comprising more than 60,000 inferred trees and respective model parameter estimates from fully anonymized empirical data sets that were analyzed using RAxML (1) and RAxML-NG (2) on two web servers. We also describe and make available two simple applications of RAxML Grove to exemplify its usage and highlight its utility for designing realistic simulation studies and analyzing empirical model parameter and tree shape distributions. RAxML Grove is freely available at https://github.com/angtft/RAxMLGrove.

bioinformatics↗

bioRxiv2020

Identification of an N-acetylneuraminic acid-presenting bacteria isolated from a healthy human microbiome

N-acetylneuraminic acid is the most abundant sialic acid in humans and is generally expressed as the terminal sugar on intestinal mucus glycans. Several pathogenic bacterial species harvest sialic acid from the mucus, diet, as well as other intestinal sources and display this sugar on their own surface to evade sialic acid-binding immunoglobulin-type lectin (Siglec)-mediated host immune surveillance. While previous studies have identified bacterial enzymes associated with sialic acid catabolism, no reported methods permit the selective labeling, tracking, and quantitation of sialic acid-presenting microbes within complex multi-microbial systems. Here, we apply an interdisciplinary approach combining metabolic labeling, click chemistry, metagenomic, and whole-genome sequencing to selectively track and identify sialic acid-presenting microbes from a cultured healthy human fecal microbiome. We isolated and identified a new strain of Escherichia coli that incorporates sialic acid onto its own surface. Analysis of the sequence data reveals that this E. coli strain encodes for the NanT, NeuA, and NeuS genes necessary for harvesting environmental sialic acid and generating the capsular polysialic acid. We envision that this method is applicable to the detection and quantitation of sialic acid-presenting bacteria from human, animal, and environmental microbiomes, as well as investigating the importance of other carbohydrates to commensal and pathogenic bacteria.

microbiology↗