Quantifying hidden individual heterogeneity

Research output: Contribution to conference without publisher/journalConference abstract for conferenceResearch

Abstract

Aging is assumed to be driven by the accumulation of damage or some other aging factor which shapes demographic patterns, including the classical late age mortality plateaus. However to date, heterogeneity in these damage stages is not observed. Here, we estimate underlying stage distributions and stage dynamics, based on observed survival patterns of isoclonal bacteria. Our results reveal demographic dynamics being dominated by low damage stages and transmission of damage from mother to daughters is low. Still, our models are too simplistic and deterministic. Explaining the observed data requires more stochastic processes as our current models includes. We are only at the beginning of understanding the diverse mechanism behind aging and the shaping of senescence.
Original languageEnglish
Publication date2016
Publication statusPublished - 2016
EventEvolutionary Demography Society Meeting 2016 - University of Virginia, Charlottesville VA, United States
Duration: 2. Oct 20165. Oct 2016
http://evodemo2016.weebly.com/

Conference

ConferenceEvolutionary Demography Society Meeting 2016
LocationUniversity of Virginia
CountryUnited States
CityCharlottesville VA
Period02/10/201605/10/2016
Internet address

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damage
senescence
stochasticity
plateau
mortality
bacterium
distribution

Cite this

Steiner, U., Lenart, A., & Vaupel, J. W. (2016). Quantifying hidden individual heterogeneity. Abstract from Evolutionary Demography Society Meeting 2016, Charlottesville VA, United States.
Steiner, Ulrich ; Lenart, Adam ; Vaupel, James W. . / Quantifying hidden individual heterogeneity. Abstract from Evolutionary Demography Society Meeting 2016, Charlottesville VA, United States.
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title = "Quantifying hidden individual heterogeneity",
abstract = "Aging is assumed to be driven by the accumulation of damage or some other aging factor which shapes demographic patterns, including the classical late age mortality plateaus. However to date, heterogeneity in these damage stages is not observed. Here, we estimate underlying stage distributions and stage dynamics, based on observed survival patterns of isoclonal bacteria. Our results reveal demographic dynamics being dominated by low damage stages and transmission of damage from mother to daughters is low. Still, our models are too simplistic and deterministic. Explaining the observed data requires more stochastic processes as our current models includes. We are only at the beginning of understanding the diverse mechanism behind aging and the shaping of senescence.",
author = "Ulrich Steiner and Adam Lenart and Vaupel, {James W.}",
year = "2016",
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note = "Evolutionary Demography Society Meeting 2016 ; Conference date: 02-10-2016 Through 05-10-2016",
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Steiner, U, Lenart, A & Vaupel, JW 2016, 'Quantifying hidden individual heterogeneity' Evolutionary Demography Society Meeting 2016, Charlottesville VA, United States, 02/10/2016 - 05/10/2016, .

Quantifying hidden individual heterogeneity. / Steiner, Ulrich; Lenart, Adam; Vaupel, James W. .

2016. Abstract from Evolutionary Demography Society Meeting 2016, Charlottesville VA, United States.

Research output: Contribution to conference without publisher/journalConference abstract for conferenceResearch

TY - ABST

T1 - Quantifying hidden individual heterogeneity

AU - Steiner, Ulrich

AU - Lenart, Adam

AU - Vaupel, James W.

PY - 2016

Y1 - 2016

N2 - Aging is assumed to be driven by the accumulation of damage or some other aging factor which shapes demographic patterns, including the classical late age mortality plateaus. However to date, heterogeneity in these damage stages is not observed. Here, we estimate underlying stage distributions and stage dynamics, based on observed survival patterns of isoclonal bacteria. Our results reveal demographic dynamics being dominated by low damage stages and transmission of damage from mother to daughters is low. Still, our models are too simplistic and deterministic. Explaining the observed data requires more stochastic processes as our current models includes. We are only at the beginning of understanding the diverse mechanism behind aging and the shaping of senescence.

AB - Aging is assumed to be driven by the accumulation of damage or some other aging factor which shapes demographic patterns, including the classical late age mortality plateaus. However to date, heterogeneity in these damage stages is not observed. Here, we estimate underlying stage distributions and stage dynamics, based on observed survival patterns of isoclonal bacteria. Our results reveal demographic dynamics being dominated by low damage stages and transmission of damage from mother to daughters is low. Still, our models are too simplistic and deterministic. Explaining the observed data requires more stochastic processes as our current models includes. We are only at the beginning of understanding the diverse mechanism behind aging and the shaping of senescence.

M3 - Conference abstract for conference

ER -

Steiner U, Lenart A, Vaupel JW. Quantifying hidden individual heterogeneity. 2016. Abstract from Evolutionary Demography Society Meeting 2016, Charlottesville VA, United States.