Evidence map›Paper›PMID 39954296›Full record

ArticleJournal of phycology2025

Seasonality and interannual stability in the population genetic structure of Batrachospermum gelatinosum (Rhodophyta).

Sarah Shainker-Connelly, Solenn Stoeckel, Morgan L Vis, Roseanna M Crowell, Stacy A Krueger-Hadfield

Abstract read
In one paragraph

Article in Journal of phycology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sarah Shainker-ConnellyDepartment of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0003-3403-0294
Solenn StoeckelDECOD (Ecosystem Dynamics and Sustainability), INRAE, Institut Agro, IFREMER, Rennes, France.ORCID 0000-0001-6064-5941
Morgan L VisDepartment of Environmental and Plant Biology, Ohio University, Athens, Ohio, USA.ORCID 0000-0003-3087-1563
Roseanna M CrowellDepartment of Environmental and Plant Biology, Ohio University, Athens, Ohio, USA.ORCID 0000-0003-3117-2094
Stacy A Krueger-HadfieldDepartment of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-7324-7448

Funding

Agence Nationale de la Recherche Clonix2D ANR-18-CE32-0001College of Arts and Sciences at UAB Start up fundsNational Science Foundation Career Award DEB-2141971National Science Foundation EAGER DEB-2113745Norma J. Lang Early Career Fellowship from the Phycological Society of AmericaOhio Center for Ecology and Evolutionary Studies FellowshipOhio University Graduate Student Senate Original Work GrantOhio University Roach FundOhio University Student Enhancement AwardUAB Blazer FellowshipUAB Department of Biology's Harold Martin Outstanding Student Development Award
6 · The paper itself

Abstract

Temporal population genetic studies have investigated evolutionary processes, but few have characterized reproductive system variation. Yet, temporal sampling may improve our understanding of reproductive system evolution through the assessment of the relative rates of selfing, outcrossing, and clonality. In this study, we focused on the monoicous, haploid-diploid freshwater red alga Batrachospermum gelatinosum. This species has a perennial, microscopic diploid phase (chantransia) that produces an ephemeral, macroscopic haploid phase (gametophyte). Recent work focusing on single-time point genotyping suggested high rates of intragametophytic selfing, although there was variation among sites. We expand on this work by genotyping 191 gametophytes sampled from four sites that had reproductive system variation based on single-snapshot genotyping. For this study, we sampled at multiple time points within and among years. Results from intra-annual data suggested shifts in gametophytic genotypes throughout the season. We hypothesize that this pattern is likely due to the seasonality of the life cycle and the timing of meiosis among the chantransia. Interannual patterns were characterized by consistent genotypic and genetic composition, indicating stability in the prevailing reproductive system through time. Yet, our study identified limits by which available theoretical predictions and analytical tools can resolve reproductive system variation using haploid data. There is a need to develop new analytical tools to understand the evolution of sex by expanding our ability to characterize the spatiotemporal variation in reproductive systems across diverse life cycles.

Indexed as

RhodophytaSeasonsGenetics, PopulationGenetic VariationGenotypealgaeploidyreproductionsexstreamtemporal patterns

Identifiers

PMID39954296
PMCPMC11914944

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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.