Evidence map›Paper›PMID 38192907›Full record

ArticleEcology and evolution2024

yEvo: A modular eukaryotic genetics and evolution research experience for high school students.

M Bryce Taylor, Alexa R Warwick, Ryan Skophammer, Josephine M Boyer, Renee C Geck, Kristin Gunkelman, Margaux Walson, Paul A Rowley, Maitreya J Dunham

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Genetic diversification ofApplied and environmental microbiology · 2026
    Article
  2. Article
  3. Article
  4. Experimental evolution ofbioRxiv : the preprint server for biology · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

M Bryce TaylorDepartment of Genome Sciences University of Washington Seattle Washington USA.ORCID https://orcid.org/0000-0002-8088-6467
Alexa R WarwickDepartment of Fisheries and Wildlife Michigan State University East Lansing Michigan USA.ORCID https://orcid.org/0000-0002-4701-1079
Ryan SkophammerWestridge School Pasadena California USA.ORCID https://orcid.org/0000-0002-0229-5864
Josephine M BoyerDepartment of Biological Sciences University of Idaho Moscow Idaho USA.ORCID https://orcid.org/0000-0002-5203-2122
Renee C GeckDepartment of Genome Sciences University of Washington Seattle Washington USA.ORCID https://orcid.org/0000-0001-7812-7675
Kristin GunkelmanDepartment of Teacher Education Michigan State University East Lansing Michigan USA.
Margaux WalsonDepartment of Genome Sciences University of Washington Seattle Washington USA.
Paul A RowleyDepartment of Biological Sciences University of Idaho Moscow Idaho USA.ORCID https://orcid.org/0000-0002-3590-5139
Maitreya J DunhamDepartment of Genome Sciences University of Washington Seattle Washington USA.ORCID https://orcid.org/0000-0001-9944-2666
University of Washington · USMichigan State University · USUniversity of Idaho · USCalifornia State University, Northridge · USLoras College · US

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Kenneth A Cornell · 2012 to 2026
$59.8M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Sequence-structure-function relationships in human visual photopigmentsP20GM104420 · NIGMS · UNIVERSITY OF IDAHO · PI WICHMAN, HOLLY A · 2015 to 2024
$22.9M
Functional interpretation of human G6PD variants using multiplexed analyses in S. cerevisiaeF32GM143852 · NIGMS · UNIVERSITY OF WASHINGTON · PI GECK, RENEE CATHERINE · 2021 to 2022
$134k
NHGRI NIH HHS T32 HG000035NIGMS NIH HHS F32 GM143852NIGMS NIH HHS P20 GM103408NIGMS NIH HHS P20 GM104420
6 · The paper itself

Abstract

The resources for carrying out and analyzing microbial evolution experiments have become more accessible, making it possible to expand these studies beyond the research laboratory and into the classroom. We developed five connected, standards-aligned yeast evolution laboratory modules, called "yEvo," for high school students. The modules enable students to take agency in answering open-ended research questions. In Module 1, students evolve baker's yeast to tolerate an antifungal drug, and in subsequent modules, investigate how evolved yeasts adapted to this stressful condition at both the phenotype and genotype levels. We used pre- and post-surveys from 72 students at two different schools and post-interviews with students and teachers to assess our program goals and guide module improvement over 3 years. We measured changes in student conceptions, confidence in scientific practices, and interest in STEM careers. Students who participated in yEvo showed improvements in understanding of activity-specific concepts and reported increased confidence in designing a valid biology experiment. Student experimental data replicated literature findings and has led to new insights into antifungal resistance. The modules and provided materials, alongside "proof of concept" evaluation metrics, will serve as a model for other university researchers and K - 16 classrooms interested in engaging in open-ended research questions using yeast as a model system.

Indexed as

evolutiongenomicsresearch experiencesecondary educationyeast

Identifiers

PMID38192907
PMCPMC10771926
OpenAlexW4390656019

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.