Vision of a near future: Bridging the human health-environment divide. Toward an integrated strategy to understand mechanisms across species for chemical safety assessment.

There is a growing recognition that application of mechanistic approaches to understand cross-species shared molecular targets and pathway conservation in the context of hazard characterization, provide significant opportunities in risk assessment (RA) for both human health and environmental safety. Specifically, it has been recognized that a more comprehensive and reliable understanding of similarities and differences in biological pathways across a variety of species will better enable cross-species extrapolation of potential adverse toxicological effects. Ultimately, this would also advance the generation and use of mechanistic data for both human health and environmental RA. A workshop brought together representatives from industry, academia and government to discuss how to improve the use of existing data, and to generate new NAMs data to derive better mechanistic understanding between humans and environmentally-relevant species, ultimately resulting in holistic chemical safety decisions. Thanks to a thorough dialogue among all participants, key challenges, current gaps and research needs were identified, and potential solutions proposed. This discussion highlighted the common objective to progress toward more predictive, mechanistically based, data-driven and animal-free chemical safety assessments. Overall, the participants recognized that there is no single approach which would provide all the answers for bridging the gap between mechanism-based human health and environmental RA, but acknowledged we now have the incentive, tools and data availability to address this concept, maximizing the potential for improvements in both human health and environmental RA.

Differential transcriptomic responses of ancient and modern Daphnia genotypes to phosphorus supply.

Little is known about the role of transcriptomic changes in driving phenotypic evolution in natural populations, particularly in response to anthropogenic environmental change. Previous analyses of Daphnia genotypes separated by centuries of evolution in a lake using methods in resurrection ecology revealed striking genetic and phenotypic shifts that were highly correlated with anthropogenic environmental change, specifically phosphorus (P)-driven nutrient enrichment (i.e. eutrophication). Here, we compared the transcriptomes of two ancient (~700-year-old) and two modern (~10-year-old) genotypes in historic (low P) and contemporary (high P) environmental conditions using microarrays. We found considerable transcriptomic variation between 'ancient' and 'modern' genotypes in both treatments, with stressful (low P) conditions eliciting differential expression (DE) of a larger number of genes. Further, more genes were DE between 'ancient' and 'modern' genotypes than within these groups. Expression patterns of individual genes differed greatly among genotypes, suggesting that different transcriptomic responses can result in similar phenotypes. While this confounded patterns between 'ancient' and 'modern' genotypes at the gene level, patterns were discernible at the functional level: annotation of DE genes revealed particular enrichment of genes involved in metabolic pathways in response to P-treatments. Analyses of gene families suggested significant DE in pathways already known to be important in dealing with P-limitation in Daphnia as well as in other organisms. Such observations on genotypes of a single natural population, separated by hundreds of years of evolution in contrasting environmental conditions before and during anthropogenic environmental changes, highlight the important role of transcriptional mechanisms in the evolutionary responses of populations.

Functional genomics of intraspecific variation in carbon and phosphorus kinetics in Daphnia.

Understanding how the genome interacts with the environment to produce a diversity of phenotypes is a central challenge in biology. However, we know little about how traits involved in nutrient processing interact with key ecological parameters, such as the supply of mineral nutrients, particularly in animals. The framework of ecological stoichiometry uses information on the content of key elements such as carbon (C) and phosphorus (P) in individuals to predict the success of species. Nevertheless, intraspecific variation in content and the underlying mechanisms that generate such variation has been poorly explored. We studied two genotypes (G1 and G2) of Daphnia pulex that exhibit striking genotype × environment (G × E) interaction in response to shifts in dietary stoichiometry (C:P). G1 had higher fitness under C:P ∼ 100 diet, while G2 performed better in C:P ∼ 800. Dual (14) C/(33) P radiotracer assays show that G1 was more efficient in C processing, while G2 was more efficient in P use. Microarrays revealed that after 3 days of incubation, the genotypes differentially expressed ∼ 25% (7,224) of the total genes on the array under C:P ∼ 100 diet, and ∼ 30% (8,880) of genes under C:P ∼ 800. These results indicate large differences in C and P use between two coexisting genotypes. Importantly, such physiological differences can arise via differential expression of the genome due to alterations in dietary stoichiometry. Basic frameworks such as ecological stoichiometry enable integration of physiological and transcriptomic data, and represent initial steps toward understanding the interplay between fundamental ecological parameters such as nutrient supply and important evolutionary processes such as G × E interactions.

A millennial-scale chronicle of evolutionary responses to cultural eutrophication in Daphnia.

For an accurate assessment of the anthropogenic impacts on evolutionary change in natural populations, we need long-term environmental, genetic and phenotypic data that predate human disturbances. Analysis of c. 1600 years of history chronicled in the sediments of South Center Lake, Minnesota, USA, revealed major environmental changes beginning c. 120 years ago coinciding with the initiation of industrialised agriculture in the catchment area. Population genetic structure, analysed using DNA from dormant eggs of the keystone aquatic herbivore, Daphnia pulicaria, suggested no change for c. 1500 years prior to striking shifts associated with anthropogenic environmental alterations. Furthermore, phenotypic assays on the oldest resurrected metazoan genotypes (potentially as old as c. 700 years) indicate significant shifts in phosphorus utilisation rates compared to younger genotypes. Younger genotypes show steeper reaction norms with high growth under high phosphorus (P), and low growth under low P, while 'ancient' genotypes show flat reaction norms, yet higher growth efficiency under low P. Using this resurrection ecology approach, environmental, genetic and phenotypic data spanning pre- and post-industrialised agricultural eras clearly reveal the evolutionary consequences of anthropogenic environmental change.

Testosterone affects neural gene expression differently in male and female juncos: a role for hormones in mediating sexual dimorphism and conflict.

Despite sharing much of their genomes, males and females are often highly dimorphic, reflecting at least in part the resolution of sexual conflict in response to sexually antagonistic selection. Sexual dimorphism arises owing to sex differences in gene expression, and steroid hormones are often invoked as a proximate cause of sexual dimorphism. Experimental elevation of androgens can modify behavior, physiology, and gene expression, but knowledge of the role of hormones remains incomplete, including how the sexes differ in gene expression in response to hormones. We addressed these questions in a bird species with a long history of behavioral endocrinological and ecological study, the dark-eyed junco (Junco hyemalis), using a custom microarray. Focusing on two brain regions involved in sexually dimorphic behavior and regulation of hormone secretion, we identified 651 genes that differed in expression by sex in medial amygdala and 611 in hypothalamus. Additionally, we treated individuals of each sex with testosterone implants and identified many genes that may be related to previously identified phenotypic effects of testosterone treatment. Some of these genes relate to previously identified effects of testosterone-treatment and suggest that the multiple effects of testosterone may be mediated by modifying the expression of a small number of genes. Notably, testosterone-treatment tended to alter expression of different genes in each sex: only 4 of the 527 genes identified as significant in one sex or the other were significantly differentially expressed in both sexes. Hormonally regulated gene expression is a key mechanism underlying sexual dimorphism, and our study identifies specific genes that may mediate some of these processes.

How do consumers deal with stoichiometric constraints? Lessons from functional genomics using Daphnia pulex.

Disaccord between the supply and demand of energy (carbon, C) and certain material elements (e.g. phosphorus, P) across trophic levels is common in most ecosystems and impacts the strength of trophic interactions and ecosystem functions such as productivity and nutrient recycling. Yet, we know little about mechanisms operating at the lower levels of biological organization that drive such higher-level ecological processes. Such information should help refine theories integrating biological processes at multiple levels of organization. Understanding the expression and functions of genes that underlie (to a large degree) physiological adjustments made by organisms to stoichiometric imbalances at trophic interfaces is a first step in this enterprise. Here, we investigate adjustments in gene expression to varying supply and demand of phosphorus relative to other dietary components in the keystone limnetic herbivore, Daphnia pulex. Daphniids were fed an algal diet of either LoC-HiP (molar C:P ∼100) or HiC-LoP (molar C:P ∼900) for 5 days, resulting in significant growth reductions under HiC-LoP conditions. Microarrays measured the transcriptional regulation of 8217 annotated protein-coding genes under contrasting dietary conditions and revealed 1818 differentially expressed (DE) genes; 19% are genes unique to the Daphnia lineage. We mapped DE genes onto a global chart of metabolic pathways to obtain a systems-level perspective on the responses to stoichiometric imbalances. Daphnia differentially regulated pathways were involved in sequestering limiting elements, and in dealing with the products of metabolic adjustments that may be triggered by nutrient stress in primary producers. Functional genomics at trophic interfaces illuminate the complexity of processes underlying stoichiometric constraints on energy and nutrient fluxes in ecosystems.