Seth M. Rudman

Seth M. Rudman

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Seth M. Rudman

Washington State University Vancouver, School of Biological Sciences, 14204 NE Salmon Creek Ave. Vancouver, WA, USA 98686

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 March 2022 in Science
Verified
Journal Article
Closed access
SRSeth M. Rudman
Seth M. Rudman
SGSharon I. Greenblum
Sharon I. Greenblum
SRSubhash Rajpurohit
Subhash Rajpurohit
NBNicolas J. Betancourt
Nicolas J. Betancourt
JHJinjoo Hanna
Jinjoo Hanna
PSPaul Schmidt
Paul Schmidt
Direct observation of evolution in response to natural environmental change can resolve fundamental questions about adaptation, including its pace, temporal dynamics, and underlying phenotypic and genomic architecture. We tracked the evolution of fitness-associated phenotypes and allele frequencies genome-wide in 10 replicate field populations of Drosophila melanogaster over 10 generations from summer to late fall. Adaptation was evident over each sampling interval (one to four generations), with exceptionally rapid phenotypic adaptation and large allele frequency shifts at many independent loci. The direction and basis of the adaptive response shifted repeatedly over time, consistent with the action of strong and rapidly fluctuating selection. Overall, we found clear phenotypic and genomic evidence of adaptive tracking occurring contemporaneously with environmental change, thus demonstrating the temporally dynamic nature of adaptation.

16 September 2019 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
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SRSeth M. Rudman
Seth M. Rudman
SGSharon Greenblum
Sharon Greenblum
RHRachel C. Hughes
Rachel C. Hughes
SRSubhash Rajpurohit
Subhash Rajpurohit
OKOzan Kiratli
Ozan Kiratli
PSPaul Schmidt
Paul Schmidt
Population genomic data has revealed patterns of genetic variation associated with adaptation in many taxa. Yet understanding the adaptive process that drives such patterns is challenging; it requires disentangling the ecological agents of selection, determining the relevant timescales over which evolution occurs, and elucidating the genetic architecture of adaptation. Doing so for the adaptation of hosts to their microbiome is of particular interest with growing recognition of the importance and complexity of host–microbe interactions. Here, we track the pace and genomic architecture of adaptation to an experimental microbiome manipulation in replicate populations ofDrosophila melanogasterin field mesocosms. Shifts in microbiome composition altered population dynamics and led to divergence between treatments in allele frequencies, with regions showing strong divergence found on all chromosomes. Moreover, at divergent loci previously associated with adaptation across natural populations, we found that the more common allele in fly populations experimentally enriched for a certain microbial group was also more common in natural populations with high relative abundance of that microbial group. These results suggest that microbiomes may be an agent of selection that shapes the pattern and process of adaptation and, more broadly, that variation in a single ecological factor within a complex environment can drive rapid, polygenic adaptation over short timescales.

20 November 2017 in Nature Ecology & Evolution
Verified
Journal Article
Closed access
PDF file
SRSeth M. Rudman
Seth M. Rudman
MBMatthew A. Barbour
Matthew A. Barbour
KCKatalin Csilléry
Katalin Csilléry
PGPhillip Gienapp
Phillip Gienapp
FGFrederic Guillaume
Frederic Guillaume
JLJonathan M. Levine
Jonathan M. Levine

3 February 2021 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
TGTess Nahanni Grainger
Tess Nahanni Grainger
SRSeth M. Rudman
Seth M. Rudman
PSPaul Schmidt
Paul Schmidt
JLJonathan M. Levine
Jonathan M. Levine
Eco-evolutionary dynamics will play a critical role in determining species’ fates as climatic conditions change. Unfortunately, we have little understanding of how rapid evolutionary responses to climate play out when species are embedded in the competitive communities that they inhabit in nature. We tested the effects of rapid evolution in response to interspecific competition on subsequent ecological and evolutionary trajectories in a seasonally changing climate using a field-based evolution experiment with Drosophila melanogaster. Populations of D. melanogaster were either exposed, or not exposed, to interspecific competition with an invasive competitor, Zaprionus indianus, over the summer. We then quantified these populations’ ecological trajectories (abundances) and evolutionary trajectories (heritable phenotypic change) when exposed to a cooling fall climate. We found that competition with Z. indianus in the summer affected the subsequent evolutionary trajectory of D. melanogaster populations in the fall, after all interspecific competition had ceased. Specifically, flies with a history of interspecific competition evolved under fall conditions to be larger and have lower cold fecundity and faster development than flies without a history of interspecific competition. Surprisingly, this divergent fall evolutionary trajectory occurred in the absence of any detectible effect of the summer competitive environment on phenotypic evolution over the summer or population dynamics in the fall. This study demonstrates that competitive interactions can leave a legacy that shapes evolutionary responses to climate even after competition has ceased, and more broadly, that evolution in response to one selective pressure can fundamentally alter evolution in response to subsequent agents of selection. Significance Understanding species’ eco-evolutionary responses to novel competitive interactions and shifting thermal regimes has become essential under global change. However, we lack insight into these dynamics because experimental evolution studies often focus on populations of individual species. Using a large-scale field experiment with two competing species of drosophilid flies, we show that rapid evolution in response to competition can alter a species’ evolutionary trajectory when exposed to a seasonally changing climate. Our results demonstrate that interactions with competitors, including invasive species, can shape evolution when climatic conditions change. More broadly, we provide empirical, field-based evidence that a legacy of recent adaptation can shape subsequent evolutionary trajectories.

5 February 2019 in Ecology Letters
Verified
Journal Article
Closed access
PDF file
SRSeth M Rudman
Seth M Rudman
JGJared M Goos
Jared M Goos
JBJoseph B Burant
Joseph B Burant
KBKevin V Brix
Kevin V Brix
TGTaylor C Gibbons
Taylor C Gibbons
PJPunidan D Jeyasingh
Punidan D Jeyasingh

28 April 2021 in bioRxiv
Verified
Preprint
Open access
PDF file
SRSeth M. Rudman
Seth M. Rudman
SGSharon I. Greenblum
Sharon I. Greenblum
SRSubhash Rajpurohit
Subhash Rajpurohit
NBNicolas J. Betancourt
Nicolas J. Betancourt
JHJinjoo Hanna
Jinjoo Hanna
PSPaul Schmidt
Paul Schmidt
Direct observation of evolution in response to natural environmental change can resolve fundamental questions about adaptation including its pace, temporal dynamics, and underlying phenotypic and genomic architecture. We tracked evolution of fitness-associated phenotypes and allele frequencies genome-wide in ten replicate field populations of Drosophila melanogaster over ten generations from summer to late fall. Adaptation was evident over each sampling interval (1-4 generations) with exceptionally rapid phenotypic adaptation and large allele frequency shifts at many independent loci. The direction and basis of the adaptive response shifted repeatedly over time, consistent with the action of strong and rapidly fluctuating selection. Overall, we find clear phenotypic and genomic evidence of adaptive tracking occurring contemporaneously with environmental change, demonstrating the temporally dynamic nature of adaptation. One sentence summary: Rapid environmental change drives continuous phenotypic and polygenic adaptation, demonstrating the temporal dynamism of adaptation.