Biology subjects

Lotterhos, K.

Publications and source records attributed to Lotterhos, K..

4 recordsLinked to original sources

bioRxiv2026

Additive in size, synergistic in composition: selection across the eastern oyster larval genome under coastal acidification and sewage effluent

Coastal organisms experience natural and anthropogenic stressors simultaneously, yet the interactive effects of multiple stressors are largely unknown. In urbanized estuaries, coastal acidification (CA) is coupled to sewage effluent (SE): nutrient loading from SE stimulates microbial CO2 production, and this lowers the pH. The genomic targets of selection of CA and SE have been characterized separately but never together in early life stages of marine organisms. Here, we exposed eastern oyster (Crassostrea virginica) larvae to control, CA (~2800 atm pCO2), SE (5% by volume), and the combination (CASE) for 24 h across independent spawns, and used expressed exome capture sequencing to measure allele-frequency change before and after exposure, removing loci that also shifted in controls. CASE generally produced the lowest survival, although mortality was driven primarily by effluent and did not exceed the additive expectation. The size of allele-frequency change under CASE stayed close to the additive sum of the single stressors, but it showed compositional synergy: CASE had more outlier loci than CA and SE combined with 1,941 loci (747 genes) detected only under the combined treatment. CASE outliers were enriched for proteostasis, ciliary function, mitochondrial calcium handling, and a steroid-metabolizing (CYP17) module consistent with effluent endocrine disruptors. Selection acted repeatedly on standing variation across spawns and genetic backgrounds, with the largest allele-frequency shifts at rare, spawn-private loci. Enriched biological functions recurred across spawns more often than expected, while most outlier loci were specific to one or two spawns, consistent with genotypic redundancy. Our results show that combined stressors can recruit a compositionally synergistic genomic response, at loci and functions not detected under either stressor alone, even when survival and the size of allele-frequency change are additive.

evolutionary biology↗

bioRxiv2026

Range-wide genetic population structure and environmental adaptation in the eastern oyster (Crassostrea virginica) provides insight for aquaculture

Selective breeding in aquaculture is necessary to establish food security and meet demand for sustainably produced protein. An informed selective breeding program requires understanding how population structure, environmental adaptation, and human activities shape natural genetic variation in wild conspecifics. Unfortunately, wild variation remains poorly characterized for many commercially important aquaculture species. Here, we conduct the first range-wide study of genomic population structure for the eastern oyster (Crassostrea virginica) across thousands of miles (Texas, USA to Eastern Canada) using a 200K SNP array. We integrate population structure analyses, genotype-environmental associations, and structural variant detection to identify adaptive loci and quantify human-mediated genetic impacts. Our data confirms two ancestral clusters with a phylogeographic break between the Gulf and Atlantic (FST = 0.06) and highlights patterns of substructure within each region. We find evidence of unexpected patterns of genomic variation in two locations: evidence of Gulf ancestry in a mid-Atlantic estuary (Chesapeake Bay), and evidence of Atlantic ancestry in a Gulf estuary (Apalachicola Bay). While we cannot definitively determine the causes of these unexpected patterns, we show that they are consistent with direct and indirect human impacts in these estuaries. Genotype-environment association analyses with in situ temperature and salinity measurements were used to identify putatively adaptive loci, including SNPs within large structural variants (>1Mb). Our results identified genomic targets for aquaculture breeding programs aimed at climate resilience, reveal complex patterns of human impacts in managed systems, and demonstrate how seascape genomics can be used to improve aquaculture outcomes.

evolutionary biology↗

bioRxiv2020

Ocean acidification induces subtle shifts in gene expression and DNA methylation in mantle tissue of the Eastern oyster (Crassostrea virginica)

Early evidence suggests that DNA methylation can mediate phenotypic responses of marine calcifying species to ocean acidification (OA). Few studies, however, have explicitly studied DNA methylation in calcifying tissues through time. Here, we examined the phenotypic and molecular responses in the extrapallial fluid and mantle (fluid and tissue at the calcification site) in the Eastern oyster (Crassostrea virginica) exposed to experimental OA over 80 days. Oysters were reared under three experimental pCO2 treatments ( control, 580 atm; moderate OA, 1000 uatm; high OA, 2800 atm) and sampled at 6 time points (24 hours - 80 days). We found that high OA initially induced changes in the pH of the extrapallial fluid (pHEPF) relative to the external seawater, but the magnitude of this difference was highest at 9 days and diminished over time. Calcification rates were significantly lower in the high OA treatment compared to the other treatments. To explore how oysters regulate their extrapallial fluid, gene expression and DNA methylation were examined in the mantle-edge tissue of oysters from day 9 and 80 in the control and high OA treatments. Mantle tissue mounted a significant global molecular response (both in the transcriptome and methylome) to OA that shifted through time. Although we did not find individual genes that were significantly differentially expressed to OA, the pHEPF was correlated with the eigengene expression of several co-expressed gene clusters. A small number of OA-induced differentially methylated loci were discovered, which corresponded with a weak association between OA-induced changes in genome-wide gene body DNA methylation and gene expression. Gene body methylation, however, was not significantly correlated with the eigengene expression of pHEPF correlated gene clusters. These results suggest that in C. virginica, OA induces a subtle response in a large number of genes, but also indicates that plasticity at the molecular level may be limited. Our study highlights the need to re-assess the plasticity of tissue-specific molecular responses in marine calcifiers, as well as the role of DNA methylation and gene expression in mediating physiological and biomineralization responses to OA.

molecular biology↗

bioRxiv2017

Modular environmental pleiotropy of genes involved in local adaptation to climate despite physical linkage

BackgroundPhysical linkage among genes shaped by different sources of selection is a fundamental aspect of genetic architecture. Theory predicts that evolution in complex environments selects for modular genetic architectures and high recombination rates among loci shaped by different sources of selection. However, limited data exist to test these predictions because the field lacks consensus for how to control for intercorrelated environmental variables. Here, we introduce a co-association network analysis, which clusters loci based on differing environmental associations, and use it to study the genetic architecture of local adaptation to climate in lodgepole pine (Pinus contorta).\n\nResultsWe identified many modules of genes associated with distinct environments (aridity, freezing, geography), and discovered low recombination rates among some candidate genes in different modules. We observed limited evidence for environmental pleiotropic effects on distinct aspects of climate. We also found limited correspondence between the modularity of co-association networks and gene regulatory networks. We compared co-association networks to associations with principal components, and found the latter can lead to misinterpretation. Finally, we used simulations to illustrate the benefits and caveats of co-association networks.\n\nConclusionsCo-association networks provided a useful framework for studying modularity. Our results supported the prediction that evolution to complex environments selects for modular genetic architectures, but some of our results went against the prediction that selection would increase recombination among loci experiencing different sources of selection. These results give new insight into evolutionary debates about the extent of modularity and pleiotropy in the evolution of genetic architectures.

evolutionary biology↗