Biology subjects

Andersen, A.

Publications and source records attributed to Andersen, A..

6 recordsLinked to original sources

bioRxiv2026

Cyanophage CP12 Rewires Host Carbon Regulation through Interface Remodeling and Redox Buffering

Picocyanobacteria drive ocean carbon fixation, and cyanophages reshape host metabolism during infection. In cyanobacteria, the intrinsically disorder Calvin cycle protein 12 (CP12) assembles glyceraldehyde-3-phosphate dehydrogenase (GAP2) and phosphoribulokinase (PRK) into the inhibitory dark complex, yet how phage CP12 homologs modulate redox-sensitive partners remains unclear. Here, we examined viral CP12 across sequence, structure, and post-translational modification (PTM) complexities to resolve the mechanistic remodeling of dark-complex assembly and regulation. Protein-family analysis of CP12 homologs across diverse lineages showed that viral CP12 preserves interface-dominated positions while shifting partner-facing chemistry toward charged and geometry-modulating features. Matched molecular dynamics simulations (MD) of Prochlorococcus MED4 and cyanophage P-HM2 showed that phage CP12 preserves assembly while strengthening PRK-facing contacts and reducing GAP2-facing interface burial. MED4 redox proteomics identified coordinated cysteine oxidation across CP12 and GAP2 under light disturbance, guiding MD to explore thiol-PTM states. Conformational divergence increased with PTM load and localized mainly to GAP2 modifications. Thiol PTM at GAP2 imposed the largest CP12 binding-energy cost, which P-HM2 CP12 buffered, yielding smaller comparative binding-energy penalties than host CP12. These findings link sequence-driven chemistry to interface dynamics and redox PTM responsiveness to light, defining phage CP12 as a regulatory mimetic that may retune host carbon regulation during infection.

microbiology↗

bioRxiv2026

EnZight: A Structure-Guided Algorithm to Identify and Prioritize Substitution Hotspots for Enzyme Engineering

Homologous protein structures contain valuable information about tolerated sequence variation. However, translating this information into practical enzyme design strategies remains challenging. Here we present EnZight, a user-friendly web server that integrates homologous structural alignment with intuitive visualization to identify substitution hotspots in protein cores. EnZight exploits structurally aligned homologs to identify positions where the surrounding structural environment is conserved while the residue at the position varies across homologs. This enables prediction of substitutions that preserve fold integrity while modulating function and thermostability. The approach further provides interactive structural outputs that allow users to inspect and prioritize substitutions manually. To validate the use of EnZight, we used a polyurethane-degrading amidase as a proof of concept. We constructed 34 variants, and 97% were successfully expressed, indicating high foldability of the predicted substitutions. Several substitutions improved both catalytic turnover and thermostability, and, importantly, beneficial substitutions combined additively, enabling stepwise accumulation of improvements. The best triple mutant variant exhibited a six-fold increase in catalytic turnover and 2{degrees}C increase in apparent melting temperature. Enhanced activity toward the pharmaceutical micropollutant flutamide further demonstrates EnZight's broad applicability in identifying substitutions that enable enzyme optimization across diverse substrates.

bioengineering↗

bioRxiv2024

Coupling of secondary metabolite production in Bacillus subtilis

Although not essential for their growth, the production of secondary metabolites increases the fitness of the producing microorganisms in their natural habitat by enhancing establishment, competition and nutrient acquisition. The Gram-positive soil-dwelling bacterium, Bacillus subtilis produces a variety of secondary metabolites. Here, we investigated the regulatory relationship between the non-ribosomal peptide surfactin and the sactipeptide bacteriocin subtilosin A. We discovered that B. subtilis mutants lacking surfactin production exhibited higher production of subtilosin A compared to their parental wild-type strain. Additionally, spatial visualization of B. subtilis production of metabolites demonstrated that surfactin secreted by a wild-type colony could suppress subtilosin A production in an adjacent mutant colony lacking surfactin production. Reporter assays were performed using mutants in specific transcriptional regulators that confirmed the role of ResD as an activator of the subtilosin A encoding BGC, while removal or Rok and AbrB repressors increased expression of the BGC that was further enhanced by additional deletion of surfactin, suggesting that a so far unidentified regulator might mediate the influence of surfactin on production of subtilosin A. Our study reveals a regulatory influence of one secondary metabolite on another, highlighting that the function of secondary metabolites could be more complex than its influence on other organisms and interactions among secondary metabolites could also contribute to their ecological significance. ImportanceSecondary metabolites play an important role in the life of microorganisms facilitating their fitness in the environment, including competing against other microorganisms, interacting with their host or environment, and allowing expansion in their environment. However, secondary metabolites also function as cue molecules influencing gene expression between and within species. Here, we describe that the non-ribosomally synthesized peptide surfactin repress the production of ribosomally synthesized and post translationally modified peptide, subtilosin A in Bacillus subtilis, revealing an ecological interaction between two secondary metabolites that could potentially influence the biocontrol efficiency of B. subtilis strain that depends on the production of these secondary metabolites against plant pathogen microorganisms.

microbiology↗

bioRxiv2023

Tracking genome evolution in single cell clones reveals the rates and features of copy number alterations generated by ongoing chromosomal instability in cancer.

Cancer genomes exhibit extensive chromosomal alterations caused by ongoing Chromosomal Instability (CIN). The ensuing cell-cell heterogeneity facilitates evolution and cancer cell plasticity that can drive therapy resistance, yet cancer CIN driver mechanisms remain essentially uncharacterised. This lack of knowledge presents an untapped opportunity to target vulnerabilities associated with ongoing CIN for therapy. Existing methods to investigate the cellular mechanisms responsible for CIN rely on laborious functional assays, or inference from genomic alteration patterns from sequencing data. Current bulk sequencing derived copy number alteration pattern signatures lack the cell-cell resolution that would reveal recent genomic alterations caused by CIN. Large-scale single cell sequencing of cancer cell populations is now emerging. However, it is not known whether the effects of selection still obscure the spectrum of genomic alterations caused by recent CIN. To address this, we employed a single-cell whole-genome sequencing (scWGS) clonal outgrowth technique, that allows us to track the real-time evolution of cancer genomes at the single-cell level. Single cancer cells surprisingly re-establish heterogeneity that matches their parental population within [~]22 generations. By comparing the features of copy number alterations at different evolutionary timepoints we reveal that some alteration types are likely under negative selection and are thus only apparent in the most recent cell divisions, and not in the parental population. In one cell line we identify a particular chromosome subject to recurrent chromosomal deletions, and validated that this chromosome wasinvolved frequently in mis-segregation events during anaphase using fluorescence In-Situ hybridisation.

cancer biology↗

bioRxiv2022

Risk Stratification of Acute Myeloid Leukemia Using Ex Vivo Drug Sensitivity Profiling

Acute Myeloid Leukemia (AML) is a heterogeneous malignancy involving the clonal expansion of myeloid stem and progenitor cells in the bone marrow and peripheral blood. Most AML patients eligible for potentially curative treatment receive intensive chemotherapy. Risk stratification is used to optimize treatment intensity and transplant strategy, and is mainly based on cytogenetic screening for structural chromosomal alterations and targeted sequencing of a selection of common mutations. However, the forecasting accuracy of treatment response remains modest. Recently, ex vivo drug screening has gained traction for its potential in personalized treatment selection, as well as a tool for identifying and mapping patient groups based on relevant cancer dependencies. We systematically evaluated the use of drug sensitivity profiling for predicting patient survival and clinical response to chemotherapy in a cohort of AML patients. We compared computational methodologies for scoring drug efficacy and characterized tools to counter noise and batch-related confounders pervasive in high-throughput drug testing. We show that ex vivo drug sensitivity profiling is a robust and versatile approach to patient prognostics that comprehensively maps functional signatures of treatment response and disease progression. In conclusion, ex vivo drug profiling can accurately assess risk of individual AML patients and may guide clinical decision-making.

bioinformatics↗

bioRxiv2022

Chromosomal assembly of the flat oyster (Ostrea edulis L.) genome as a new genetic ressource for aquaculture

The European flat oyster (Ostrea edulis L.) is the endemic species of the European coasts. Its exploitation has been reduced during the last decades, because of the appearance of two parasites that have led to the collapse of the stocks and the strong decline of the natural oyster beds. O. edulis has been the subject of numerous studies and programs in population genetics and on the presence of the parasites Bonamia ostreae and Marteilia refringens. These studies investigated the effects of these parasites mainly on immunity at the molecular and cellular levels. Several genetic selection programs especially related to resistance to the parasite have been initiated. Within the framework of a European project (PERLE 2) which aims to produce genetic lines of O. edulis with hardiness traits (growth, survival, resistance) for the purpose of repopulating natural oyster beds in Brittany and reviving the culture of this species on the foreshore, obtaining a reference genome has proved to be essential as done recently in many bivalve species of aquaculture interest. Here, we present a chromosome-level genome assembly and annotation for the European flat oyster, generated by combining PacBio technology, Illumina, 10X linked and Hi-C sequencing. The finished assembly is 887.2 Mb with a scaffold-N50 of 97.1 Mb scaffolded on the expected 10 pseudo-chromosomes. Annotation of the genome revealed the presence of 35962 protein-coding genes. We analyzed in details the transposable elements (TE) diversity in the flat oyster genome, highlight some specificities in tRNA and miRNA composition and provide first insights in the molecular response of O. edulis to M. refringens. This genome will serve as a reference for genomic studies on O. edulis to better understand its basic physiology or developing genetic markers in breeding projects for aquaculture or natural reef restoration.

genomics↗