Quantifying hidden individual heterogeneity

Publikation: Konferencebidrag uden forlag/tidsskriftKonferenceabstrakt til konferenceForskning

Resumé

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.
OriginalsprogEngelsk
Publikationsdato2016
StatusUdgivet - 2016
BegivenhedEvolutionary Demography Society Meeting 2016 - University of Virginia, Charlottesville VA, USA
Varighed: 2. okt. 20165. okt. 2016
http://evodemo2016.weebly.com/

Konference

KonferenceEvolutionary Demography Society Meeting 2016
LokationUniversity of Virginia
LandUSA
ByCharlottesville VA
Periode02/10/201605/10/2016
Internetadresse

Fingeraftryk

damage
senescence
stochasticity
plateau
mortality
bacterium
distribution

Citer dette

Steiner, U., Lenart, A., & Vaupel, J. W. (2016). Quantifying hidden individual heterogeneity. Abstract fra Evolutionary Demography Society Meeting 2016, Charlottesville VA, USA.
Steiner, Ulrich ; Lenart, Adam ; Vaupel, James W. . / Quantifying hidden individual heterogeneity. Abstract fra Evolutionary Demography Society Meeting 2016, Charlottesville VA, USA.
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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.",
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Steiner, U, Lenart, A & Vaupel, JW 2016, 'Quantifying hidden individual heterogeneity', Evolutionary Demography Society Meeting 2016, Charlottesville VA, USA, 02/10/2016 - 05/10/2016.

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

2016. Abstract fra Evolutionary Demography Society Meeting 2016, Charlottesville VA, USA.

Publikation: Konferencebidrag uden forlag/tidsskriftKonferenceabstrakt til konferenceForskning

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 fra Evolutionary Demography Society Meeting 2016, Charlottesville VA, USA.