Planned intervention: On Wednesday June 26th 05:30 UTC Zenodo will be unavailable for 10-20 minutes to perform a storage cluster upgrade.
Published December 21, 2017 | Version v1
Dataset Open

Data from: Demographic variability and heterogeneity among individuals within and among clonal bacteria strains

  • 1. Max-Planck Odense Centre on the Biodemography of Aging; Campusvej 55 DK-5230 Odense Denmark*
  • 2. Freie Universität Berlin
  • 3. University of Southern Denmark

Description

Identifying what drives individual heterogeneity has been of long interest to ecologists, evolutionary biologists and biodemographers, because only such identification provides deeper understanding of ecological and evolutionary population dynamics. In natural populations one is challenged to accurately decompose the drivers of heterogeneity among individuals as genetically fixed or selectively neutral. Rather than working on wild populations we present here data from a simple bacterial system in the lab, Escherichia coli. Our system, based on cutting-edge microfluidic techniques, provides high control over the genotype and the environment. It therefore allows to unambiguously decompose and quantify fixed genetic variability and dynamic stochastic variability among individuals. We show that within clonal individual variability (dynamic heterogeneity) in lifespan and lifetime reproduction is dominating at about 82–88%, over the 12–18% genetically (adaptive fixed) driven differences. The genetic differences among the clonal strains still lead to substantial variability in population growth rates (fitness), but, as well understood based on foundational work in population genetics, the within strain neutral variability slows adaptive change, by enhancing genetic drift, and lowering overall population growth. We also revealed a surprising diversity in senescence patterns among the clonal strains, which indicates diverse underlying cell-intrinsic processes that shape these demographic patterns. Such diversity is surprising since all cells belong to the same bacteria species, E. coli, and still exhibit patterns such as classical senescence, non-senescence, or negative senescence. We end by discussing whether similar levels of non-genetic variability might be detected in other systems and close by stating the open questions how such heterogeneity is maintained, how it has evolved, and whether it is adaptive.

Notes

Files

lesAB1157.csv

Files (172.4 kB)

Name Size Download all
md5:1084cc05dea9be5a615460060ea6ffb7
35.2 kB Preview Download
md5:8c2c833f13ee5391bfaef7c1de723680
15.3 kB Preview Download
md5:c438496b24881cf7bf104ad492b8a47e
28.8 kB Preview Download
md5:aeef6370de978cb79193004c582b6820
4.7 kB Download
md5:d5f03d1e32af6be7f90e298e3c1c9051
23.1 kB Preview Download
md5:4f17b80c54315d3bac4ed2f3f26654ac
36.5 kB Preview Download
md5:5282d8f74e76d0196c65973003ef1db6
14.6 kB Preview Download
md5:600835ae6ab8d7a4b520e623f0abad14
14.2 kB Preview Download

Additional details

Related works

Is cited by
10.1111/oik.04292 (DOI)