Empirical tests of the contributions of genomic variation to the trajectories of adaptation
基因组变异对适应轨迹的贡献的实证检验
基本信息
- 批准号:10679019
- 负责人:
- 金额:$ 37.59万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-15 至 2027-05-31
- 项目状态:未结题
- 来源:
- 关键词:AnimalsArchitectureBioinformaticsBiologicalBiological ProcessBiologyComplexDataDemographyDiploidyDrosophila melanogasterEcosystemEnvironmentEvolutionGenesGenetic StructuresGenetic VariationGenomicsGenotypeGlobal ChangeGoalsHealthHumanHuman GeneticsKnowledgeMalignant NeoplasmsMolecular GeneticsNatural experimentPatternPersonal SatisfactionPhenotypePopulationPopulation GeneticsProcessResearchRetrospective StudiesShapesTestingTimeVector-transmitted infectious diseaseWorkexperimental studygenomic variationinsightoutcome predictionprogramstooltrait
项目摘要
ESI MIRA Project Summary – Seth Rudman
Project Summary
A comprehensive mechanistic understanding of the process of adaptation that is predictive of
outcomes is a fundamental goal in evolutionary biology and advances towards this goal have profound
implications for human health. Adaptation, particularly in animal populations, is primarily studied
retrospectively through the patterns it produces. Yet, decades of research have demonstrated that
adaptation in natural populations occurs quickly. A growing number of field experiments, including
much of my recent work, have demonstrated key insight into the process of adaptation by observing as
it occurs. With advances in sequencing and bioinformatics it is now tractable to use forward-in-time
experimental approaches to directly observe the process of adaptation in sexually reproducing diploid
animals by studying repeated changes across independent populations, which is amongst the strongest
evidence of adaptation. Combining a forward-in-time experimental approach with manipulations of
aspects of genetic diversity, the selective landscape, or demography can directly test hypotheses
about the genomic architecture, constraint, and pace of adaptation providing key insight into the
process of rapid adaptation. I propose experiments united by an approach that leverages existing
molecular and population genetics tools in Drosophila melanogaster for replicated field experiments that
directly test key hypotheses about the relationship between genetic variation, adaptation, and the
predictability of evolution in animal populations. The primary questions are: 1) Are genotype-phenotype
relationships of complex traits predictive of the outcomes of adaptation; 2) Are large effect loci essential
for rapid adaptation from standing genetic variation; 3) What is the relationship between the amount of
genetic diversity and the pace and parallelism of adaptation; and 4) Does gene flow into locally adapted
but declining populations promote or constrain adaptation and population persistence and does this
depend on the amount of genetic diversity in the recipient population. In addition to directly answering
these questions, these experiments will provide data on the pace, predictability, and importance of
adaptation in shaping both genomic diversity and the persistence of populations inhabiting rapidly
changing environments. The work I propose here is part of building a research program that tests
fundamental questions in evolutionary biology by manipulating factors hypothesized to influence
adaptation and directly observing their effects with the ultimate aim of building a mechanistic
understanding of adaptation.
ESI Mira项目摘要--Seth Rudman
项目摘要
对适应过程的全面机械性理解,这是对
结果是进化生物学的一个基本目标,朝着这个目标的进展具有深远的意义
对人类健康的影响。适应,特别是在动物种群中的适应是主要研究的。
回顾它所产生的模式。然而,数十年的研究表明,
自然种群的适应发生得很快。越来越多的实地试验,包括
我最近的许多工作都展示了对适应过程的关键洞察,通过观察
它就会发生。随着测序和生物信息学的进步,现在使用时间前向法很容易
直接观察二倍体有性繁殖适应过程的实验方法
通过研究独立种群的重复变化来研究动物,这是最强的之一
适应的证据。将时间前向实验方法与
遗传多样性、选择性地貌或人口统计学等方面可以直接检验假说
关于基因组体系结构、限制和适应速度的信息,提供了对
快速适应的过程。我建议通过一种利用现有资源的方法来联合进行实验
用于重复野外实验的黑腹果蝇分子和群体遗传学工具
直接测试关于遗传变异、适应和基因之间关系的关键假设
动物种群进化的可预测性。主要的问题是:1)是基因型-表型
预测适应结果的复杂性状的关系;2)是必需的大效应基因座
从长期的遗传变异中快速适应;3)
遗传多样性和适应的速度和平行度;以及4)基因是否流入局部适应
但人口减少促进或限制了适应和人口持久性,并做到了这一点
这取决于接受群体中的遗传多样性数量。除了直接回答
这些问题,这些实验将提供有关速度、可预测性和重要性的数据
在塑造基因组多样性和快速栖息种群的持久性方面的适应
不断变化的环境。我在这里提出的工作是建立一个研究计划的一部分,该计划将测试
通过操纵假想的影响因素来解决进化生物学中的基本问题
适应和直接观察它们的效果,最终目的是建立一个
对适应的理解。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Seth Rudman其他文献
Seth Rudman的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似海外基金
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 37.59万 - 项目类别:
Continuing Grant
Hardware-aware Network Architecture Search under ML Training workloads
ML 训练工作负载下的硬件感知网络架构搜索
- 批准号:
2904511 - 财政年份:2024
- 资助金额:
$ 37.59万 - 项目类别:
Studentship
CAREER: Creating Tough, Sustainable Materials Using Fracture Size-Effects and Architecture
职业:利用断裂尺寸效应和架构创造坚韧、可持续的材料
- 批准号:
2339197 - 财政年份:2024
- 资助金额:
$ 37.59万 - 项目类别:
Standard Grant
Travel: Student Travel Support for the 51st International Symposium on Computer Architecture (ISCA)
旅行:第 51 届计算机体系结构国际研讨会 (ISCA) 的学生旅行支持
- 批准号:
2409279 - 财政年份:2024
- 资助金额:
$ 37.59万 - 项目类别:
Standard Grant
Understanding Architecture Hierarchy of Polymer Networks to Control Mechanical Responses
了解聚合物网络的架构层次结构以控制机械响应
- 批准号:
2419386 - 财政年份:2024
- 资助金额:
$ 37.59万 - 项目类别:
Standard Grant
I-Corps: Highly Scalable Differential Power Processing Architecture
I-Corps:高度可扩展的差分电源处理架构
- 批准号:
2348571 - 财政年份:2024
- 资助金额:
$ 37.59万 - 项目类别:
Standard Grant
Collaborative Research: Merging Human Creativity with Computational Intelligence for the Design of Next Generation Responsive Architecture
协作研究:将人类创造力与计算智能相结合,设计下一代响应式架构
- 批准号:
2329759 - 财政年份:2024
- 资助金额:
$ 37.59万 - 项目类别:
Standard Grant
The architecture and evolution of host control in a microbial symbiosis
微生物共生中宿主控制的结构和进化
- 批准号:
BB/X014657/1 - 财政年份:2024
- 资助金额:
$ 37.59万 - 项目类别:
Research Grant
RACCTURK: Rock-cut Architecture and Christian Communities in Turkey, from Antiquity to 1923
RACCTURK:土耳其的岩石建筑和基督教社区,从古代到 1923 年
- 批准号:
EP/Y028120/1 - 财政年份:2024
- 资助金额:
$ 37.59万 - 项目类别:
Fellowship
NSF Convergence Accelerator Track M: Bio-Inspired Surface Design for High Performance Mechanical Tracking Solar Collection Skins in Architecture
NSF Convergence Accelerator Track M:建筑中高性能机械跟踪太阳能收集表皮的仿生表面设计
- 批准号:
2344424 - 财政年份:2024
- 资助金额:
$ 37.59万 - 项目类别:
Standard Grant














{{item.name}}会员




