A minimum information standard for reproducing bench-scale bacterial cell growth and productivity

Salit, Marc; Hecht, Ariel; Munro, Sarah A.; Filliben, James

doi:10.1038/s42003-018-0220-6

Title: A minimum information standard for reproducing bench-scale bacterial cell growth and productivity

Journal Article · 30 November 2018 · Communications Biology

DOI: https://doi.org/10.1038/s42003-018-0220-6 · OSTI ID:1480469

Salit, Marc ^[1]; Hecht, Ariel ^[2]; Munro, Sarah A. ^[3]; Filliben, James ^[4]

Joint Initiative for Metrology in Biology, Stanford, CA (United States); National Inst. of Standards and Technology, Stanford, CA (United States); Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
Joint Initiative for Metrology in Biology, Stanford, CA (United States); National Inst. of Standards and Technology, Stanford, CA (United States); Stanford Univ., Stanford, CA (United States)
Joint Initiative for Metrology in Biology, Stanford, CA (United States); National Inst. of Standards and Technology, Stanford, CA (United States); Stanford Univ., Stanford, CA (United States); Univ. of Minnesota, Minneapolis, MN (United States)
National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States)

Reproducing, exchanging, comparing, and building on each other’s work is foundational to technology advances. Advancing biotechnology calls for reliable reuse of engineered organisms. Reliable reuse of engineered organisms requires reproducible growth and productivity. Here, we identify the experimental factors that have the greatest effect on the growth and productivity of our engineered organisms in order to demonstrate reproducibility for biotechnology. Here, we present a draft of a Minimum Information Standard for Engineered Organism Experiments based on this method. We evaluate the effect of 22 factors on Escherichia coli engineered to produce the small molecule lycopene, and 18 factors on E. coli engineered to produce red fluorescent protein. Container geometry and shaking have the greatest effect on product titer and yield. We reproduce our results under two different conditions of reproducibility: conditions of use (different fractional factorial experiments), and time (48 biological replicates performed on 12 different days over four months).

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Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-76SF00515

OSTI ID:: 1480469

Journal Information:: Communications Biology, Journal Name: Communications Biology Journal Issue: 1 Vol. 1; ISSN 2399-3642

Publisher:: Springer NatureCopyright Statement

Country of Publication:: United States

Language:: English

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