R35GM139383
Project Grant
Overview
Grant Description
On differentiating selective and neutral evolutionary processes - Abstract
At the founding of population genetics in the early 20th century, S. Wright and R.A. Fisher developed much of the mathematical and conceptual framework underlying the study of population-level processes dictating variation observed within- and between-species. However, as evidenced by decades of published interactions, they held strongly differing views regarding the relative importance of adaptive vs. non-adaptive processes in driving evolution.
As pointed out by J. Crow (2008), these issues were not really resolved, but "rather they were abandoned in favor of more tractable studies." With the proposal of the neutral theory by M. Kimura and T. Ohta, the relative contribution of stochastic effects, as earlier advocated by S. Wright, received renewed attention.
In the following decades, further theoretical development as well as the availability of large-scale sequencing data have indeed overwhelmingly justified the important role of genetic drift. However, subsequent research related to linked, rather than direct, selection effects have re-ignited previous debates. Namely, whether the large class of strongly and weakly deleterious variants hypothesized under the neutral theory, and their related linked selection effects (i.e., background selection), are sufficient to explain genome-wide patterns of variation; or whether a more predominant class of beneficial variants, and their related linked selection effects (i.e., selective sweeps), are required.
The primary difficulty in answering this question stems from our lack of an appropriate neutral null model - that is, a model incorporating genetic drift as modulated by a realistic demographic history, as well as a realistic distribution of fitness effects summarizing the pervasive effects of both direct and linked purifying selection. Without this null model incorporating these evolutionary processes that are certain to be occurring, it is simply not feasible to quantify the periodic frequency with which adaptive processes are additionally acting to shape patterns of polymorphism and divergence.
Future work will focus on the necessary theoretical and statistical developments for application to organisms characterized by small progeny distributions within the context of the Wright-Fisher model and Kingman coalescent (e.g., humans), as well as large progeny distributions within the context of the Moran model and multiple-merger coalescent (e.g., viruses).
In total, the product of this research will be a framework for inferring evolutionarily appropriate null models applicable widely across the tree of life, that will enable the field to directly address this long-standing and fundamental debate, and to accurately identify genomic targets of adaptation.
At the founding of population genetics in the early 20th century, S. Wright and R.A. Fisher developed much of the mathematical and conceptual framework underlying the study of population-level processes dictating variation observed within- and between-species. However, as evidenced by decades of published interactions, they held strongly differing views regarding the relative importance of adaptive vs. non-adaptive processes in driving evolution.
As pointed out by J. Crow (2008), these issues were not really resolved, but "rather they were abandoned in favor of more tractable studies." With the proposal of the neutral theory by M. Kimura and T. Ohta, the relative contribution of stochastic effects, as earlier advocated by S. Wright, received renewed attention.
In the following decades, further theoretical development as well as the availability of large-scale sequencing data have indeed overwhelmingly justified the important role of genetic drift. However, subsequent research related to linked, rather than direct, selection effects have re-ignited previous debates. Namely, whether the large class of strongly and weakly deleterious variants hypothesized under the neutral theory, and their related linked selection effects (i.e., background selection), are sufficient to explain genome-wide patterns of variation; or whether a more predominant class of beneficial variants, and their related linked selection effects (i.e., selective sweeps), are required.
The primary difficulty in answering this question stems from our lack of an appropriate neutral null model - that is, a model incorporating genetic drift as modulated by a realistic demographic history, as well as a realistic distribution of fitness effects summarizing the pervasive effects of both direct and linked purifying selection. Without this null model incorporating these evolutionary processes that are certain to be occurring, it is simply not feasible to quantify the periodic frequency with which adaptive processes are additionally acting to shape patterns of polymorphism and divergence.
Future work will focus on the necessary theoretical and statistical developments for application to organisms characterized by small progeny distributions within the context of the Wright-Fisher model and Kingman coalescent (e.g., humans), as well as large progeny distributions within the context of the Moran model and multiple-merger coalescent (e.g., viruses).
In total, the product of this research will be a framework for inferring evolutionarily appropriate null models applicable widely across the tree of life, that will enable the field to directly address this long-standing and fundamental debate, and to accurately identify genomic targets of adaptation.
Awardee
Funding Goals
THE NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES (NIGMS) SUPPORTS BASIC RESEARCH THAT INCREASES OUR UNDERSTANDING OF BIOLOGICAL PROCESSES AND LAYS THE FOUNDATION FOR ADVANCES IN DISEASE DIAGNOSIS, TREATMENT, AND PREVENTION. NIGMS ALSO SUPPORTS RESEARCH IN SPECIFIC CLINICAL AREAS THAT AFFECT MULTIPLE ORGAN SYSTEMS: ANESTHESIOLOGY AND PERI-OPERATIVE PAIN, CLINICAL PHARMACOLOGY ?COMMON TO MULTIPLE DRUGS AND TREATMENTS, AND INJURY, CRITICAL ILLNESS, SEPSIS, AND WOUND HEALING.? NIGMS-FUNDED SCIENTISTS INVESTIGATE HOW LIVING SYSTEMS WORK AT A RANGE OF LEVELSFROM MOLECULES AND CELLS TO TISSUES AND ORGANSIN RESEARCH ORGANISMS, HUMANS, AND POPULATIONS. ADDITIONALLY, TO ENSURE THE VITALITY AND CONTINUED PRODUCTIVITY OF THE RESEARCH ENTERPRISE, NIGMS PROVIDES LEADERSHIP IN SUPPORTING THE TRAINING OF THE NEXT GENERATION OF SCIENTISTS, ENHANCING THE DIVERSITY OF THE SCIENTIFIC WORKFORCE, AND DEVELOPING RESEARCH CAPACITY THROUGHOUT THE COUNTRY.
Grant Program (CFDA)
Place of Performance
Arizona
United States
Geographic Scope
State-Wide
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 01/31/26 to 08/31/29 and the total obligations have increased 1373% from $206,698 to $3,044,461.
Arizona State University was awarded
Evolutionary Processes: Unraveling Adaptive vs. Neutral Dynamics
Project Grant R35GM139383
worth $3,044,461
from the HHS Office of the Assistant Secretary for Financial Resources in February 2021 with work to be completed primarily in Arizona United States.
The grant
has a duration of 8 years 6 months and
was awarded through assistance program 93.859 Biomedical Research and Research Training.
The Project Grant was awarded through grant opportunity Maximizing Investigators' Research Award (R35 - Clinical Trial Optional).
Status
(Ongoing)
Last Modified 9/5/25
Period of Performance
2/1/21
Start Date
8/31/29
End Date
Funding Split
$3.0M
Federal Obligation
$0.0
Non-Federal Obligation
$3.0M
Total Obligated
Activity Timeline
Transaction History
Modifications to R35GM139383
Additional Detail
Award ID FAIN
R35GM139383
SAI Number
R35GM139383-964966624
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NS00 NIH National Institute of General Medical Sciences
Funding Office
75AM00 ASFR OFFICE OF THE ASSISTANT SECRETARY FOR FINANCIAL RESOURCES
Awardee UEI
NTLHJXM55KZ6
Awardee CAGE
4B293
Performance District
AZ-90
Senators
Kyrsten Sinema
Mark Kelly
Mark Kelly
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
National Institute of General Medical Sciences, National Institutes of Health, Health and Human Services (075-0851) | Health research and training | Grants, subsidies, and contributions (41.0) | $596,958 | 100% |
Modified: 9/5/25