Author: Curtis A. Provencher and Andrew D. Nguyen
Affiliation: University of Vermont
Date initiated: 2016-03-29
Last Date modified: 2016-05-10
Funding source: National Science Foundation, Division of Environmental Biology (1136644)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Table of contents
This is an National Science Foundation supported project aiming to understand how climate change will impact critical species that perform key ecosystem services.
Objecives and Hypotheses
In this study, we assess the potential impacts of experimental warming in wild populations of the ant genus Aphaenogaster from a southern (Duke Forest, NC) and northern (Harvard Forest, MA) site near their range boundaries. Using Hsps as a proxy for sub lethal stress, we will determine the extent simulated warming between a northern and southern site imposes costs on foraging ant workers.
2013_stress_in_nature_manuscript/ : folder for manuscript documents
Data/ : All of the raw data generated and includes manipulated or manually parsed data.
qPCR_Plate_Layouts/ : organization of how samples were ran on each plate
qPCR_Raw_data_sheets/ : excel spreadsheets of the raw data generated from qpcr machine (SteponePlus)
Sequencing/ : sequenced amplicons from qpcr reactions
- cdna_synthesis_template.xlsx : excel spreadsheet for caculating cDNA synthesis reactions (RNA-cDNA)
- 20160211_prelim_normfinder.txt and normfinder_prelim.csv : preliminary normfinder data lay out (we opted for a different approch to find the most stable gene )
- 2015_warming_prelim.csv : preliminary dataset
- RNA_cDNA_Maps.xlsx : plate layout of how RNA was converted to cDNA
- 20160222_anbe_sequencing_pog_aph_83_70_40.xls : sequencing layout for hsc70-4 h2, hsp83, and hsp40
- qPCR_Plate_Layouts/ : organization of how samples were ran on each plate
Results/ : Has preliminary results so far; pdf output of scripts
- Figures/ : saved figures by date
- 20150824_stressed_ants.pdf : analysis pdf from the Script_Analyses folder (most digestable view of data, metadata, and analyses)
- Scripts_Analyses/ : I use R and Rstudio for data analysis and data visualization and convert (knit) these analyses into pdfs(see results).