MuLTEERatcliff Lab · Georgia Tech

Data & Strains

Data & Strains

We are developing a model system that we hope will be used by diverse researchers around the world. Strains from the frozen archive are shared on request, with no authorship requirement. We ask only that requests not overlap with work ongoing in our lab or that of a collaborator. Fill in one form and tell us what you are trying to find out.

Populations
15
Frozen snapshots
3,000+
Freeze interval
25 days
Storage
-80 °C

Archive figures maintained by the lab. 25 days is about 125 generations.


Requesting strains

How a request works

We share strains with no authorship requirement. The form allows us to identify exactly which samples to pull from the freezer, and to check that a request does not overlap with work ongoing in our lab or that of a collaborator. We can currently ship within the United States only.

What the form collects

  • Recipient information, for shipping and documentation.
  • The strains you want: population, timepoint and treatment.
  • A short research plan, so we can send the protocols that go with those strains and flag overlap with work already under way elsewhere.
  • Shipping preference: overnight on dry ice, or agar stabs.

Naming what you want

Populations run PA1–5 (anaerobic), PM1–5 (mixotrophic) and PO1–5 (obligately aerobic). Timepoints are written the way the papers write them: PA5 t600 is anaerobic population 5 at transfer 600. Because the cycle is daily, transfer number and day number are the same coordinate. If you know the phenotype you want but not the timepoint, say so on the form and we will work it out.

Strains are typically shipped within two weeks of approval.

Download the request form (.docx)

Where to send it

Send the completed form to Dung T. Lac, dlac3@gatech.edu, who handles logistics and shipping for the archive. If you are not sure which populations or timepoints answer your question, write to Ozan Bozdag, gonensin.bozdag@biology.gatech.edu, who scopes requests scientifically. Both routes reach the same archive.


The frozen archive

The frozen archive

Every 25 days, about 125 generations, we freeze all fifteen populations at −80 °C. The archive now holds more than 3,000 of these samples. Any sample can be thawed and revived, so we can directly compete an evolved isolate against its own ancestor under the same conditions the population experienced.

A dense packed field of elongated snowflake yeast cells outlined in cyan with scattered orange nuclei, with a burned-in 20 micrometre scale bar at lower right.

Material in hand

Magnification
60 x
Scale bar
20 µm
Channels
Cell wall, nuclei

Cell walls and nuclei in a field of evolved snowflake yeast. The source file carries no line or timepoint, so this frame is not attributed to a treatment. The magnification and scale bar are burned in by the microscope.


Data and methods

What else is available, and what is not yet

Not yet posted

Genome sequences

Illumina short-read data for population samples and single-strain isolates from key timepoints. Sequence data behind published papers are deposited with those papers.

Ask on the request form

Not yet posted

Phenotype data

Cluster size distributions, cell morphology and fitness measurements across the experiment.

Ask on the request form

Sent with strains

Protocols

Culture conditions, settling selection and fitness competitions. Working protocols travel with the strains; published methods are in the papers.

See the publications

Not yet posted

Analysis scripts

Code for genomic analysis, image processing and biophysical modelling.

Ask on the request form

None of this material sits behind a login. Where a dataset is not yet posted publicly, the request form is the way to obtain it.


Contact

Who to write to

Logistics & shipping

Dung T. Lac

Strain distribution, Ratcliff Lab

Receives completed request forms, pulls the tubes, and arranges shipping.

dlac3@gatech.edu

Scientific scoping

G. Ozan Bozdag

Principal investigator, NSF 2452109

Works out which populations and timepoints will answer your question, and what to expect from them.

gonensin.bozdag@biology.gatech.edu

Collaborations

William C. Ratcliff

Co-principal investigator, NSF 2452109

Collaborations, visits, and anything about the experiment as a whole.

ratcliff@gatech.edu