evSeq: Cost-Effective Amplicon Sequencing of Every Variant in a Protein Library

被引:22
|
作者
Wittmann, Bruce J. [1 ]
Johnston, Kadina E. [1 ]
Almhjell, Patrick J. [2 ]
Arnold, Frances H. [1 ,2 ]
机构
[1] CALTECH, Div Biol & Biol Engn, Pasadena, CA 91125 USA
[2] CALTECH, Div Chem & Chem Engn, Pasadena, CA 91125 USA
来源
ACS SYNTHETIC BIOLOGY | 2022年 / 11卷 / 03期
关键词
directed evolution; protein engineering; machine learning; next-generation sequencing; DNA;
D O I
10.1021/acssynbio.1c00592
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Widespread availability of protein sequence-fitness data would revolutionize both our biochemical understanding of proteins and our ability to engineer them. Unfortunately, even though thousands of protein variants are generated and evaluated for fitness during a typical protein engineering campaign, most are never sequenced, leaving a wealth of potential sequence-fitness information untapped. Primarily, this is because sequencing is unnecessary for many protein engineering strategies; the added cost and effort of sequencing are thus unjustified. It also results from the fact that, even though many lower-cost sequencing strategies have been developed, they often require at least some access to and experience with sequencing or computational resources, both of which can be barriers to access. Here, we present every variant sequencing (evSeq), a method and collection of tools/standardized components for sequencing a variable region within every variant gene produced during a protein engineering campaign at a cost of cents per variant. evSeq was designed to democratize low-cost sequencing for protein engineers and, indeed, anyone interested in engineering biological systems. Execution of its wet-lab component is simple, requires no sequencing experience to perform, relies only on resources and services typically available to biology labs, and slots neatly into existing protein engineering workflows. Analysis of evSeq data is likewise made simple by its accompanying software (found at github.com/fhalab/evSeq, documentation at fhalab.github.io/evSeq), which can be run on a personal laptop and was designed to be accessible to users with no computational experience. Low-cost and easy-to-use, evSeq makes the collection of extensive protein variant sequence-fitness data practical.
引用
收藏
页码:1313 / 1324
页数:12
相关论文
共 50 条
  • [1] Simultaneous targeted amplicon deep sequencing and library preparation for a time and cost-effective universal parasite diagnostic sequencing approach
    Gondard, Mathilde
    Lane, Meredith
    Barratt, Joel
    Talundzic, Eldin
    Qvarnstrom, Yvonne
    PARASITOLOGY RESEARCH, 2023, 122 (12) : 3243 - 3256
  • [2] Simultaneous targeted amplicon deep sequencing and library preparation for a time and cost-effective universal parasite diagnostic sequencing approach
    Mathilde Gondard
    Meredith Lane
    Joel Barratt
    Eldin Talundzic
    Yvonne Qvarnstrom
    Parasitology Research, 2023, 122 : 3243 - 3256
  • [3] High-throughput DNA extraction and cost-effective miniaturized metagenome and amplicon library preparation of soil samples for DNA sequencing
    Jensen, Thomas Bygh Nymann
    Dall, Sebastian Molvang
    Knutsson, Simon
    Karst, Soren Michael
    Albertsen, Mads
    PLOS ONE, 2024, 19 (04):
  • [4] A rapid, cost-effective tailed amplicon method for sequencing SARS-CoV-2
    Daryl M. Gohl
    John Garbe
    Patrick Grady
    Jerry Daniel
    Ray H. B. Watson
    Benjamin Auch
    Andrew Nelson
    Sophia Yohe
    Kenneth B. Beckman
    BMC Genomics, 21
  • [5] Specific Mycobacterium tuberculosis Strain Circulating in Prison Revealed by Cost-Effective Amplicon Sequencing
    Hurtado, Joaquin
    Bentancor, Maria Noel
    Laserra, Paula
    Coitinho, Cecilia
    Greif, Gonzalo
    MICROORGANISMS, 2024, 12 (05)
  • [6] A rapid, cost-effective tailed amplicon method for sequencing SARS-CoV-2
    Gohl, Daryl M.
    Garbe, John
    Grady, Patrick
    Daniel, Jerry
    Watson, Ray H. B.
    Auch, Benjamin
    Nelson, Andrew
    Yohe, Sophia
    Beckman, Kenneth B.
    BMC GENOMICS, 2020, 21 (01)
  • [7] Cost-effective library preparation for whole genome sequencing with feather DNA
    Schweizer, Teia M.
    DeSaix, Matthew G.
    CONSERVATION GENETICS RESOURCES, 2023, 15 (1-2) : 21 - 28
  • [8] Cost-effective library preparation for whole genome sequencing with feather DNA
    Teia M. Schweizer
    Matthew G. DeSaix
    Conservation Genetics Resources, 2023, 15 : 21 - 28
  • [9] COST-EFFECTIVE DIAGNOSTIC-TEST SEQUENCING
    EISEMAN, B
    JONES, R
    MCCLATCHEY, M
    BORLASE, B
    WORLD JOURNAL OF SURGERY, 1989, 13 (03) : 272 - 276
  • [10] Facilitating taxonomy and phylogenetics: An informative and cost-effective protocol integrating long amplicon PCRs and third-generation sequencing
    Gajski, Domagoj
    Wolff, Jonas O.
    Melcher, Anja
    Weber, Sven
    Prost, Stefan
    Krehenwinkel, Henrik
    Kennedy, Susan R.
    MOLECULAR PHYLOGENETICS AND EVOLUTION, 2024, 192