Data from: A meta-analysis of factors affecting local adaptation between interacting species

• Main Authors: Hoeksema, Jason D., Forde, Samantha E.
• Format: Dataset
• Language: unknown
• Published: 2011
• Subjects: Urtica dioica; Gammarus duebeni; Pseudomonas viridiflava; Cuscuta europaea; Pinus radiata; Morus alba; host-parasite; Lymnaea truncatula; Melampsora amygdalinae; Arabidopsis thaliana; Rhizopogon occidentalis; Erigeron glaucus; Rissa tridactyla; Hesperolinon californicum; Nosema granulosis; Melampsora lini; Protopolystoma spp; Tomostethus nigritus; Leptothorax acervorum; Fasciola hepatica; Danaus plexippus; Bradyrhizobium sp; Phaseolus vulgaris; Gallotia galloti; Silene latifolia; Podosphaera plantaginis; Plantago lanceolata; Salix triandra; Apterotrips secticornis; Lambornella clarki; Potamopurgus antipodarum; Pseudaulacaspis pentagona; Coevolution; Colletotrichum lindemuthianum; Parus major; Microphallus spp; Xenopus laevis; Fraxinus excelsior; Amphicarpaea bracteata; Ceratphyllus gallinae; Cirithidia bombi; Ixodes uriae; Ochlerotatus sierrensis; Linum marginale; Harpagoxenus sublaevis; Microbotryum violaceum; Macrophya punctumalbum; Agrostis capillaris; Pinus contorta var. contorta; Haemogregarine sp; Forde; Parus; rissa tridactyla
• Online Access: https://zenodo.org/record/4992268; https://doi.org/10.5061/dryad.8845

Adaptive divergence among populations can result in local adaptation, whereby genotypes in native environments exhibit greater fitness than genotypes in novel environments. A body of theory has developed that predicts how different species traits, such as rates of gene flow and generation times, influence local adaptation in coevolutionary species interactions. We used a meta‐analysis of local‐adaptation studies across a broad range of host‐parasite interactions to evaluate predictions about the effect of species traits on local adaptation. We also evaluated how experimental design influences the outcome of local adaptation experiments. In reciprocally designed experiments, the relative gene flow rate of hosts versus parasites was the strongest predictor of local adaptation, with significant parasite local adaptation only in the studies in which parasites had greater gene flow rates than their hosts. When nonreciprocal studies were included in analyses, species traits did not explain significant variation in local adaptation, although the overall level of local adaptation observed was lower in the nonreciprocal than in the reciprocal studies. This formal meta‐analysis across a diversity of host‐parasite systems lends insight into the role of both biology (species traits) and biologists (experimental design) in detecting local adaptation in coevolving species interactions. Summary data for the studies used in the meta-analysis of local adaptation (Table 1 from the publication)This table contains the data used in this published meta-analysis. The data were originally extracted from the publications listed in the table. The file corresponds to Table 1 in the original publication.tb1.xlsSAS script used to perform meta-analysesThis file contains the essential elements of the SAS script used to perform meta-analyses published in Hoeksema & Forde 2008. Multi-factor models were fit to the data using weighted maximum likelihood estimation of parameters in a mixed model framework, using SAS PROC MIXED, in which the ...