Description from NSF award abstract:
Knowledge of geographic patterns in adaptive genetic variation is crucial to species conservation, yet in marine systems our understanding of this phenomenon is virtually nil. Until recently, the belief has been that because most marine species have highly dispersive or mobile life stages, local adaptation could occur only on broad geographic scales. This view is supported by comparatively low levels of genetic variation among populations as indexed by surveys of DNA markers neutral to selection. Phenotypic variation is expected to be largely of environmental origin, especially for physiological traits that are highly sensitive to environmental conditions. Stimulated by studies of the Atlantic silverside (Menidia menidia) and other species, these long-held beliefs are rapidly changing. The silverside shows dramatic evidence of highly structured local adaptation in a suite of coevolving physiological and morphological traits tightly associated with climate change across latitudes along the east coast of North America. Yet preliminary data from molecular genetic surveys suggest extensive gene flow along the entire latitudinal range.
This project will address two central problems. The first concerns the micro-geography of local adaptation. How finely scaled is it? How is it influenced by gene flow? Is it closely tied to physical features of the coastline? Do multiple traits co-vary similarly along the same gradient? The second problem focuses on the evolution of growth rate, a trait that strongly displays countergradient latitudinal variation not only in the silverside but also in numerous other taxa. Recent experiments show that growth rate can evolve very rapidly in response to size-selective mortality, including genetic changes caused by fishing. This project will examine the correlates of growth rate evolution. We will study how trade-offs with growth rate influence development, behavior, morphology, and the ability of animals to defend against disease. This research integrates biogeography, physiology, quantitative and molecular genetics, behavior, immunology, and developmental biology. It draws upon natural and experimentally evolved populations, thereby allowing rigorous testing of hypotheses that would be impossible in most other marine species.
PLAN FOR ARCHIVING AND SHARING DATA AND SPECIMENS (from original proposal):
Preserved specimens: Specimens for genetic analysis will be stored whole at .80 C with replicate fin clips stored in 95% ethanol. Each sample from the field collections, those from the common garden experiments, and those from each generation of each population in the size selective harvest experiment will be subdivided and frozen or preserved in alcohol and archived at Stony Brook University and made available to other investigators. Genetic sequence data: All unique haplotypes will be submitted to Genbank as a population data set, annotated to reflect the frequency of each haplotype with respect to locality. Data sets will also be made available on Barber's website.
Dataset | Latest Version Date | Current State |
---|---|---|
Average daily sea surface temperature from Florida to Prince Edward Island in 2004-2008 (Local adaptation in Menidia project) | 2015-07-27 | Final no updates expected |
Data on sea surface temperature and temperature-dependent sex ratio of Menidia in Florida from 2004-2008 (Local adaptation in Menidia project) | 2015-07-22 | Final no updates expected |
Data describing temperature-dependent sex ratios of Menidia in Florida from 2004-2008 (Local adaptation in Menidia project) | 2015-07-08 | Final no updates expected |
Lead Principal Investigator: Dr David O. Conover
Stony Brook University - SoMAS (SUNY-SB SoMAS)
Co-Principal Investigator: Dr Paul Barber
University of California-Los Angeles (UCLA)
Contact: Dr Tara Duffy
Northeastern University