
NSF Org: |
DEB Division Of Environmental Biology |
Recipient: |
|
Initial Amendment Date: | July 4, 2014 |
Latest Amendment Date: | July 4, 2014 |
Award Number: | 1406231 |
Award Instrument: | Standard Grant |
Program Manager: |
Samuel Scheiner
DEB Division Of Environmental Biology BIO Directorate for Biological Sciences |
Start Date: | July 1, 2014 |
End Date: | June 30, 2019 (Estimated) |
Total Intended Award Amount: | $213,858.00 |
Total Awarded Amount to Date: | $213,858.00 |
Funds Obligated to Date: |
|
History of Investigator: |
|
Recipient Sponsored Research Office: |
201 CARTER DR STE 200 WEST CHESTER PA US 19383 (610)436-3060 |
Sponsor Congressional District: |
|
Primary Place of Performance: |
700 S. High Street West Chester PA US 19383-0001 |
Primary Place of
Performance Congressional District: |
|
Unique Entity Identifier (UEI): |
|
Parent UEI: |
|
NSF Program(s): |
Cross-BIO Activities, MATHEMATICAL BIOLOGY, EVOLUTIONARY ECOLOGY, MSPA-INTERDISCIPLINARY |
Primary Program Source: |
|
Program Reference Code(s): |
|
Program Element Code(s): |
|
Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.074 |
ABSTRACT
How and why organisms allocate resources to different functions such as growth, maintenance and reproduction is a fundamental aspect of their biology. Understanding patterns of allocation addresses fundamental questions about the evolution of a wide variety of plants and animals. The way that organisms mate with each other (their mating system) is often related to the way they allocate resources. For example, in species where a single male mates with multiple females, males may express particular traits that increase their chance of successfully obtaining a mate. In some species, such as freshwater snails, individuals are male and female at the same time, and therefore have the option to self-fertilize if no mates are available. Previous research has resulted in a predictive theory that relates the way organisms mate (with/without a partner) to how they grow and when they become mature. In this three-year interdisciplinary research project, this theory with be extended and tested using a combination of mathematical modeling and experimental tests using snails. The project will also promote cross-disciplinary education of diverse undergraduate students and high school teachers.
There is a close relationship between the expression and evolution of the mating system and other life-history traits. Individuals of many species may be able to alter their allocation of resources based on the availability of mating partners, and the pattern of mating itself can affect when individuals initiate reproduction and how much they allocate to gamete production and mate attraction. A particular example of this is revealed by simultaneous hermaphrodites that can reproduce by self-fertilization or outcrossing: Individuals that prefer to outcross may delay the initiation of reproduction if mates are not available. In this project, the researchers will develop a series of mathematical models to explore the role that a variety of realistic yet complicated environmental factors play in determining life-history expression and evolution. They will explore the consequences of (1) demographic stochasticity, (2) inducible defenses, and (3) spatial structure on the expression and evolution of optimal life-history strategies. Each model will be paired with an empirical test using a well-developed experimental system (freshwater snails) that will allow a test of the model results. Collectively, the project will improve the predictive and explanatory power of how individual life-history strategies and the mating system interact.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
Note:
When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external
site maintained by the publisher. Some full text articles may not yet be available without a
charge during the embargo (administrative interval).
Some links on this page may take you to non-federal websites. Their policies may differ from
this site.
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
RUI: A theoretical and empirical investigation of optimal mating strategies in a hermaphrodite
Over the span of this project PIs Auld (a biologist) and Kolpas (a mathematician) have collaborated to develop mathematical models for the optimal evolution of life-history traits such as the age at first reproduction and the rate of reproduction, and specifically the role that inducible defenses elicited by predation risk play in the expression and evolution of these traits. Our approach has two-pronged: We are interested in building and analyzing these models (using a simplified set of variables), and then testing the predictions of the models via an empirical system of freshwater snails. The snails provide an easy-to-manipulate model system that allows us to assess a variety of aspects of an organism’s life history. To date, we have developed two models, one is published, the other is still in development. We have published two additional papers during this time frame where analyses were aided by this NSF award, and we are currently working to produce a third empirical paper. Over the span of this award, we have supervised 10 undergraduate students (in biology and math) and one graduate student (in math), several of which have been authors on papers. Several of these students have graduated since the project started, and most of them have gone on to pursue graduate education in biology or math. As an RUI grant, this award was critically important in exposing these students to an interdisciplinary, hypothesis-driven approach to understanding the evolution of life-history traits.
Last Modified: 08/20/2019
Modified by: Joshua Auld
Please report errors in award information by writing to: awardsearch@nsf.gov.