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Disparate responses to salinity across species and organizational levels in anchialine shrimps

dataset
posted on 14.10.2019, 14:29 by Justin Havird
Abstract:

Environmentally-induced plasticity in gene expression is one of the underlying mechanisms of adaptation to habitats with variable environments. For example, euryhaline crustaceans show predictable changes in the expression of ion-transporter genes during salinity transfers, although studies have typically been limited to specific genes, taxa, and ecosystems of interest. Here, we investigated responses to salinity change at multiple organizational levels in five species of shrimps representing at least three independent invasions of the anchialine ecosystem, defined as habitats with marine and freshwater influences with spatial and temporal fluctuations in salinity. Although all five species were generally strong osmoregulators, salinity-induced changes in gill physiology and gene expression were highly species-specific. While some species exhibited patterns similar to previously studied euryhaline crustaceans, instances of distinct and atypical patterns were recovered from closely related species. Species-specific patterns were found when examining: 1) numbers and identities of differentially expressed genes, 2) salinity-induced expression of genes predicted a priori to play a role in osmoregulation, and 3) salinity-induced expression of orthologs shared among all species. Notably, ion transport genes were unchanged in the atyid Halocaridina rubra while ones normally associated with vision and light perception were among those most highly upregulated. Potential reasons for species-specific patterns are discussed, including variation among anchialine habitats in salinity regimes and divergent evolution in anchialine taxa. Underexplored mechanisms of osmoregulation in crustaceans revealed here by the application of transcriptomic approaches to ecologically and taxonomically understudied systems are also explored.
Supplementary datasets and information:

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you will find all the supplementary information referred to in the paper (tables, methods, figures are in the file SI_101319.pdf) as well as two different datasets on gene expression, which are described in the pdf and in the README sheets of the datasets.

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