PT  - JOURNAL ARTICLE
AU  - Scott Hotaling
AU  - Alisha A. Shah
AU  - Kerry L. McGowan
AU  - Lusha M. Tronstad
AU  - J. Joseph Giersch
AU  - Debra S. Finn
AU  - H. Arthur Woods
AU  - Michael E. Dillon
AU  - Joanna L. Kelley
TI  - Mountain stoneflies may tolerate warming streams: evidence from organismal physiology and gene expression
AID  - 10.1101/2019.12.16.878926
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 2019.12.16.878926
4099  - http://biorxiv.org/content/early/2019/12/17/2019.12.16.878926.short
4100  - http://biorxiv.org/content/early/2019/12/17/2019.12.16.878926.full
AB  - Rapid glacier recession is altering the physical conditions of headwater streams. Stream temperatures are predicted to rise and become increasingly, potentially putting entire meltwater-associated biological communities at risk of extinction. Thus, there is a pressing need to understand how thermal stress affects mountain stream insects, particularly where glaciers are likely to vanish on contemporary timescales. In this study, we tested the critical thermal maximum (CTMAX) of stonefly nymphs representing multiple species and a range of thermal regimes in the high Rocky Mountains, USA. We then collected RNA-sequencing data to assess how organismal thermal stress translated to the cellular level. Our focal species included the meltwater stonefly, Lednia tumana, which was recently listed under the U.S. Endangered Species Act due to climate-induced habitat loss. For all study species, critical thermal maxima (CTMAX > 20°C) far exceeded natural stream temperatures mountain stoneflies experience (< 10°C). Moreover, while evidence for a cellular stress response was present, we also observed constitutive expression of genes encoding proteins known to underlie thermal stress (i.e., heat shock proteins) even at low temperatures that reflected natural conditions. Our results challenge the prevailing notion that high-elevation aquatic insects are physiologically threatened by warming temperatures. Rather, we posit that other factors (e.g., competition) may better explain their extreme distributions.