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Biology subjects

Hansson, E. M.

Publications and source records attributed to Hansson, E. M..

7 recordsLinked to original sources

Adaptation to free-living drives loss of beneficial endosymbiosis through metabolic trade-offs

Symbioses are widespread (1) and underpin the function of diverse ecosystems (2-6), but their evolutionary stability is challenging to explain (7,8). Fitness trade-offs between contrasting intracellular and extracellular niches could act to stabilise endosymbioses because adaptation to either niche is predicted to reduce fitness in the alternate niche, thus reinforcing symbiosis (8,9). Here, we experimentally evolved four diverse Chlorella green algal endosymbionts of Paramecium bursaria to free-living conditions supplying either an amino acid, as provisioned by hosts (10,11), or nitrate, as available in freshwater (12), as the sole nitrogen source. Experimental algal populations adapted to free-living environments, generally increasing in population density and cellular chlorophyll content over time. In one of the four endosymbiont strains, adaptation to the nitrate free-living environment, but not the amino acid environments, drove the loss of fitness benefits to the host in reconstituted symbioses. This loss was not associated with reduced ability to grow on host-provisioned amino acids, nor lost ability to release the sugars provisioned to the host (10,13). Genome sequencing of evolved algal lines revealed genomic divergence between nitrate-adapted and amino acid-adapted lines, affecting genes involved with metabolic organisation and intracellular resource transport. Untargeted metabolomic profiling further showed extensive changes to membrane remodelling and turnover in N-evolved lines. Together, our data support a role for metabolic trade-offs driving divergence between contrasting intracellular and extracellular niches, with nitrogen as a key environmental axis driving divergence. Fitness trade-offs may, therefore, be a general, simple mechanism acting to reinforce symbiosis, contributing to evolutionary stability.

evolutionary biology↗

De novo genome sequence assembly of the model algal endosymbiont Micractinium conductrix derived from its host Paramecium bursaria 186b

Endosymbiosis is a major driver of evolutionary innovation and underpins the function of diverse ecosystems. The origins and evolution of endosymbiosis are challenging to study experimentally due to the short-lived culturability of many microbial strains derived from endosymbiotic interactions. The facultative endosymbiosis between the ciliate, Paramecium bursaria, and the green alga, Micractinium conductrix (Chlorellaceae, Trebouxiophyceae), is ecologically widespread and has emerged as a powerful lab-tractable model system. This endosymbiosis is founded upon a reciprocal nutrient exchange, but each of the species can be cultured independently enabling quantification of symbiotic fitness effects, new partnerships to be generated in the lab, and co-associations to be subject to experimental evolution. To date, evolve-and-resequence approaches have been limited due to a lack of high-quality genome assemblies enabling gene variants to be identified. Here, we report a near telomere-to-telomere genome assembly for M. conductrix 186b, using a range of sequencing technologies. Comparative analysis shows that this is one of the most complete Chlorellaceae algal genome assemblies available to date. To aid accurate gene calling and annotation we conducted both RNAseq and Iso-Seq transcriptome sequencing experiments. Collectively these omics datasets will facilitate: i) comparative genomics studies of endosymbiont evolution, ii) evolve-and-resequence experiments, iii) genome-scale metabolic modelling studies, and iv) identification of targets for genetic modification experiments and biotechnological applications. Significance statementEndosymbiosis, where one species, the endosymbiont, lives inside the cell of another species, the host, has played a key role in evolution of complex life. However, the origins and evolution of obligate endosymbioses are often challenging to study because the key events are hidden deep in evolutionary time. Facultative microbial endosymbioses, such as between the ciliate Paramecium bursaria and the green alga Micractinium conductrix, offer experimentally tractable model systems where interacting species can be grown independently or in association allowing studies of the origin, evolution and fitness effects of symbiosis. Here we report the genome sequence for M. conductrix from P. bursaria 186b, enabling genomic studies of the evolution of endosymbiosis and simplifying gene target acquisition for microbe engineering and biotechnological applications.

genomics↗

Metabolomic profiling of glyphosate resistance evolution in green alga Chlamydomonas reinhardtii

The widespread use of glyphosate has led to a rapid increase in glyphosate resistant weeds at a considerable cost to agriculture. Furthermore, agricultural run-off means non-target, natural ecosystems are also affected. Resistance may arise both through mutations to target enzyme EPSPS in the shikimate pathway generating insensitivity to glyphosate and through non-target site mutations regulating the dose of glyphosate reaching the shikimate pathway. Either mechanism may trade-off against normal cell functioning. Here, using experimental evolution of replicated Chlamydomonas reinhardtii populations facing glyphosate, we reveal the metabolomic fingerprint of both glyphosate action and emerging resistance by applying untargeted metabolomic screens throughout the course of resistance evolution. Furthermore, this allows us to evaluate potential underlying molecular mechanisms and fitness costs. We find evidence of build-up of shikimate pathway metabolites, a characteristic signal of glyphosate action, that subsides but does not disappear as resistance evolves, suggesting a fitness trade-off. Concurrent with this is evidence of cell wide disruption of the amino acid pool, that stabilises as resistance evolves. We also found evidence of effects of glyphosate on membrane lipids and increased levels of reactive oxygen species persisting after resistance had evolved. This suggests a considerable effect of the recently described secondary effect of glyphosate: oxidative damage. These data highlight several metabolic processes disrupted by and persisting with the evolution of resistance to glyphosate and may provide a template for enhancing predictions of population and ecosystem effects.

evolutionary biology↗

A comprehensive molecular atlas of the cell types in the mouse liver

The liver plays a crucial role in essential physiological processes, and its impaired function due to liver fibrosis from various causes is an increasingly significant health issue. The livers functionality relies on the precise arrangement of its cellular structures, yet the molecular architecture of these units remains only partially understood. We created a comprehensive molecular atlas detailing all the major cell types present in the adult mouse liver through deep single-cell RNA sequencing. Our analysis offers new insights into hepatic endothelial and mesenchymal cells, specifically highlighting the differences between the cells of the periportal microvasculature, the sinusoids, and the portal vein, the latter exhibiting a mixed arterio-venous phenotype. We identified distinct subpopulations of hepatic stellate cells, fibroblasts, and vascular mural cells located in different anatomical regions. Comparisons with transcriptomic data from disease models indicate that a previously unrecognized capsular population of hepatic stellate cells expands in response to fibrotic disease. Our findings reveal that various fibroblast subpopulations respond differently to pathological insults. This data resource will be invaluable for advancing therapeutic interventions targeting hepatic diseases.

cell biology↗

Glyphosate resistance evolution to lethal and sublethal doses in chemostat populations of model organism Chlamydomonas reinhardtii

Herbicide resistant weeds are an increasing economic and ecological problem world-wide. Evolutionary theory and insight from experiments testing this theory are now a central part of solving resistance problems. More specifically, experimental evolution, where populations are allowed to evolve under specific conditions, can offer substantial insights into the trade-offs that govern the pace at which resistance arises. Here we leverage the green alga Chlamydomonas reinhardtii facing glyphosate as a model plant system to evaluate such theory, monitoring the level of evolved resistance and associated fitness costs throughout the course of adaptation. On a gradient of lethal and sub-lethal doses of glyphosate, we found evidence for evolved resistance from standing genetic variation but limited evidence for classic growth rate trade-offs that are expected to affect the pace of resistance evolution.

evolutionary biology↗

Evidence for a trade-off between glyphosate resistance and anti-grazer defence in green alga Chlamydomonas reinhardtii

O_LIThe widespread and persistent use of herbicides has both selected for dramatically increased levels of herbicide resistance in the weed populations they were designed to control, and increased contamination of non-target ecosystems. C_LIO_LIExperimental evolution using microbes offers the opportunity to explore basic evolutionary theory, including testing for the existence of intrinsic and extrinsic fitness trade-offs, connecting them to the patterns observed in both natural and agricultural populations. C_LIO_LIWe used green alga Chlamydomonas reinhardtii adapted to high and moderate levels of glyphosate to test for an extrinsic cost to glyphosate resistance in the form of a trade-off with clumping, the inducible anti-grazer defence deployed against gape-limited micrograzers. Through exposing the algae to freshwater rotifer Brachionus calyciflorus as well as their isolated info-chemicals, we test whether glyphosate resistance affects ability to deploy defences as well as ability to withstand grazing compared to control populations. C_LIO_LIWe find an increase in variation rather than uni-directional effect of glyphosate treatment, with treated populations exhibiting both lower and higher degree of anti-grazer defence compared to controls. Furthermore, our data suggests there are at least three different glyphosate resistant phenotypes present, with two conferring different extrinsic costs in the form of tradeoff with anti-grazer defence. C_LIO_LIOur study indicates that extrinsic costs to glyphosate resistance may be context dependent in this system, possibly only being present at particular stages in the adaptation process or with particular resistance mechanisms. C_LI

ecology↗

Mesostats - A multiplexed, low-cost, do-it-yourself continuous culturing system for experimental evolution of mesocosms

Microbial experimental evolution allows studying evolutionary dynamics in action and testing theory predictions in the lab. Experimental evolution in chemostats (i.e. continuous flow through cultures) has recently gained increased interest as it allows tighter control of selective pressures compared to static batch cultures, with a growing number of efforts to develop systems that are easier and cheaper to construct. This protocol describes the design and construction of a multiplexed chemostat array (dubbed "mesostats") designed for cultivation of algae in 16 concurrent populations, specifically intended for studying adaptation to herbicides. We also present control data from several experiments run on the system to show replicability, data illustrating the effects of common issues like leaks, contamination and clumps, and outline possible modifications and adaptations of the system for future research.

evolutionary biology↗