Genetical Structure and Selectional Response in Bottlenecked Populations
{'Code': '08010207', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}
{'SignBlockName': 'Gregory J. McCants', 'PO_EMAI': None, 'PO_PHON': None}
Many organisms exerperience periodic drops in population                   numbers (bottlenecks).  The consequences of these bottlenecks                   upon he evolutonary potential of the species (i.e., how they                    might repsond to novel selection pressures in a new environment)                is largely unknown for all buth the simplest of circumstances.                  The proposed research will experimentally investigate the effects               of bottlenicks upon the evolutionary potential by assessing                     response to artificial selection on composite traits in                         bottlenicked populations.  The research will investigate specific               hypotheses about how various components of genetic variance                     affect these composite traits and how these components respond to               bottlenecks and contribute to the artificial selection response.                     The main thrust of the proposed research is to provide an                  empirical test of speciation theory via bottlenecks, but results                will also affect management for endangered specites.  The                       potential loss of adaptability as a results  of population                      bottlenecks is a major concern in the management of captive and                 endangered species and we need to know the extent that species                  are in jeopardy of extinction as a result of small population                   size.  the results of the research will contribute to ur                        understainding of how bottlencks affact genetic bariances within                populations and thus can be used to guide management strategies                 for survival of endangered species.
{'FirstName': 'Edwin', 'LastName': 'Bryant', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Edwin H Bryant', 'EmailAddress': 'ebryant@uh.edu', 'NSF_ID': '000457177', 'StartDate': '10/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Houston', 'CityName': 'HOUSTON', 'ZipCode': '772043067', 'PhoneNumber': '7137435773', 'StreetAddress': '4300 MARTIN LUTHER KING BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'TX18', 'ORG_UEI_NUM': 'QKWEF8XLMTT3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF HOUSTON SYSTEM', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '112700', 'Text': 'Evolutionary Processes'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8800977.xml'}