RNAi screening for modulators of an osmo-sensitive gene response to extracellular matrix damage reveals negative feedback and interactions with translation inhibition.

In epidermal tissues, extracellular matrices (ECMs) function as barriers between the organism and environment. Despite being at the interface with the environment, little is known about the role of animal barrier ECMs in sensing stress and communicating with cytoprotective gene pathways in neighboring cells. We and others have identified a putative damage sensor in the C. elegans cuticle that regulates osmotic, detoxification, and innate immune response genes. This pathway is associated with circumferential collagen bands called annular furrows; mutation or loss of furrow collagens causes constitutive activation of osmotic, detoxification, and innate immune response genes. Here, we performed a genome-wide RNAi screen for modulators of osmotic stress response gene gpdh-1 in a furrow collagen mutant strain. RNAi of six genes identified in this screen were tested under other conditions and for effects on other stress responses. The functions of these genes suggest negative feedback within osmolyte accumulation pathways and interactions with ATP homeostasis and protein synthesis. Loss of these gpdh-1 modulators had distinct effects on canonical detoxification and innate immune response genes.

Extracellular matrix regulation of stress response genes during larval development in Caenorhabditis elegans.

Mutation or loss of 6 extracellular matrix collagen genes disrupts annular furrows in adult C. elegans cuticles, causes a wide "Dumpy" body morphology, and activates osmotic, detoxification, and antimicrobial defense genes. High environmental osmolarity reduces internal turgor pressure, physically distorts the epidermis, and activates the same stress responses. Collagen gene mutations that cause Dumpy without furrow disruption do not activate stress responses. These results are consistent with an extracellular damage sensor associated with furrows in the adult cuticle that regulates environmental stress responses in adjacent cells. Several cuticle characteristics change between molts, but all stages have annular furrows and express furrow collagen genes. We compared body shape, furrow organization imaged with differential interference contrast microscopy, and stress response gene expression in furrow collagen gene mutants at all postembryonic stages. We find that most body shape and furrow disorganization phenotypes start at the L3 stage and increase in severity with each molt afterwards. Stress response genes were induced the strongest in adults, correlating with the greatest Dumpy and furrow phenotypes. Although weaker than in adults, osmolyte transporter gene hmit-1.1 and antimicrobial gene nlp-29 were also induced in some early larvae that had weak or undetectable cuticle phenotypes. Our data are consistent with progressive cuticle phenotypes in which each new cuticle is at least partially directed by organization of the former cuticle. Gene expression and cuticle data support the role of furrow disruption as a signal in L4 larvae and adults, but also suggest a role for other cuticle organization or epidermal cell effects in early larvae.

Network Architecture and Mutational Sensitivity of the C. elegans Metabolome.

A fundamental issue in evolutionary systems biology is understanding the relationship between the topological architecture of a biological network, such as a metabolic network, and the evolution of the network. The rate at which an element in a metabolic network accumulates genetic variation via new mutations depends on both the size of the mutational target it presents and its robustness to mutational perturbation. Quantifying the relationship between topological properties of network elements and the mutability of those elements will facilitate understanding the variation in and evolution of networks at the level of populations and higher taxa. We report an investigation into the relationship between two topological properties of 29 metabolites in the C. elegans metabolic network and the sensitivity of those metabolites to the cumulative effects of spontaneous mutation. The correlations between measures of network centrality and mutability are not statistically significant, but several trends point toward a weak positive association between network centrality and mutational sensitivity. There is a small but significant negative association between the mutational correlation of a pair of metabolites (rM ) and the shortest path length between those metabolites. Positive association between the centrality of a metabolite and its mutational heritability is consistent with centrally-positioned metabolites presenting a larger mutational target than peripheral ones, and is inconsistent with centrality conferring mutational robustness, at least in toto. The weakness of the correlation between rM and the shortest path length between pairs of metabolites suggests that network locality is an important but not overwhelming factor governing mutational pleiotropy. These findings provide necessary background against which the effects of other evolutionary forces, most importantly natural selection, can be interpreted.

Linking genome signatures of selection and adaptation in non-model plants: exploring potential and limitations in the angiosperm Amborella.

Selective sweeps may be caused by environmental conditions that select for a gene function or trait at one locus, causing reduced variation at neighboring sites due to linkage, with specific non-selected variants being swept along with the selected variant. For many species, genomic and environmental data are available to test hypotheses that environmental conditions are correlated with selected regions. Most genomic studies relating selection to environment use model organisms or crop species; typically, these studies have genomic data from large numbers of individuals and extensive environmental data. Here, we review studies associating selective sweeps with environment and consider the impediments to successful application of these methods to non-model species. We present an initial investigation into linking genomic regions of selection to environmental conditions in the narrowly distributed, non-model plant Amborella trichopoda (Amborellaceae), the sister species to all other living flowering plants and one of over 2500 plant species endemic to New Caledonia.