Published February 27, 2024 | Version v1
Dataset Open

Synthetic eco-evolutionary dynamics in simple molecular environment

  • 1. Italian Institute of Technology
  • 2. University of Milan
  • 3. University of Padua
  • 4. Humanitas University

Description

The understanding of eco-evolutionary dynamics, and in particular the mechanism of emergence of species, is still fragmentary and in need of test bench model systems. To this aim, we developed a variant of SELEX in-vitro selection to study the evolution of a population of ∼ 10^15 single-strand DNA oligonucleotide 'individuals'. We begin with a seed of random sequences which we select via affinity capture from ∼ 10^12 DNA oligomers of fixed sequence ('resources') over which they compete. At each cycle ('generation'), the ecosystem is replenished via PCR amplification of survivors. Massive parallel sequencing indicates that across generations the variety of sequences ('species') drastically decreases, while some of them become populous and dominate the ecosystem. The simplicity of our approach, in which survival is granted by hybridization, enables a quantitative investigation of fitness through a statistical analysis of binding energies. We find that the strength of individual-resource binding dominates the selection in the first generations, while inter and intra-individual interactions becomes important in later stages, in parallel with the emergence of prototypical forms of mutualism and parasitism.

Notes

Funding provided by: eLife Sciences Publications
Crossref Funder Registry ID: https://ror.org/04rjz5883
Award Number:

Methods

Please see the paper. All the methods are clearly explained there. Our experimental design takes advantage of a selective capture mechanism where magnetic beads carrying single-stranded DNA filaments of fixed length and sequence target DNA individuals present in a DNA library based on their level of complementarity. Sequences are selected, amplified via PCR, sequenced, and analysed with the home-made codes present also in this repository.

Files

README.md

Files (13.7 GB)

Name Size Download all
md5:c4fdfe4c8c7c2789917471c15ee7e939
450.7 MB Download
md5:91cb788881de4698eabf5c41b575a692
450.7 MB Download
md5:adf4f121350008e6e0c030f3c2cd928f
373.2 MB Download
md5:91111c5f0a5fcd59abe6bbdc49b8777b
373.2 MB Download
md5:0e958ba7c915b7c5018691f8a970f2e7
368.7 MB Download
md5:f349f00fc182ac135e26bf2a11422468
368.8 MB Download
md5:e2867497c6f4e8fd6f88b0e8979f14d8
1.0 GB Download
md5:1b62217167cddbe5a7592dd4cc695161
1.0 GB Download
md5:b15db9fee5af153090ddfc11754abde5
1.1 GB Download
md5:1f93d916b9f105ce4abcda8d68788c28
1.1 GB Download
md5:04b7e0e8282c1403329d861a407eb954
824.2 MB Download
md5:3df4f92d699301b3e0034c3362996e90
824.2 MB Download
md5:7ec779c50c6e396032b3fae93f4591ef
135.1 MB Download
md5:b776b1c5f35a743fe94185313429c4c9
135.2 MB Download
md5:2bfe8b6d65c29f403d58ae054c12e4a4
1.0 GB Download
md5:42c124f7d91458f950f7e2a748b80525
1.0 GB Download
md5:4a27e7d3e82c597822337146cc901663
1.0 GB Download
md5:762fcc1a598f45e5fe9c4f58a1f8c113
1.0 GB Download
md5:5734b03d18f0ea0e313ebe01e00417a7
371.9 MB Download
md5:cb140072b3da8c0ac064f7825afb26d1
312.6 MB Download
md5:e76d4b428e61d6dd6ec0e12119c4d2c9
312.6 MB Download
md5:59d09fa2714ae1df08beb268c0674d2d
4.6 kB Preview Download

Additional details