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Estimating genotypic richness and proportion of identical multi-locus genotypes in aquatic microalgal populations

The majority of microalgal species reproduce asexually, yet population genetic studies rarely find identical multi-locus genotypes (MLG) in microalgal blooms. Instead, population genetic studies identify large genotypic diversity in most microalgal species. This paradox of frequent asexual reproduct...

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Autores principales: Sassenhagen, Ingrid, Erdner, Deana L, Lougheed, Bryan C, Richlen, Mindy L, SjÖqvist, Conny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310265/
https://www.ncbi.nlm.nih.gov/pubmed/35898815
http://dx.doi.org/10.1093/plankt/fbac034
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author Sassenhagen, Ingrid
Erdner, Deana L
Lougheed, Bryan C
Richlen, Mindy L
SjÖqvist, Conny
author_facet Sassenhagen, Ingrid
Erdner, Deana L
Lougheed, Bryan C
Richlen, Mindy L
SjÖqvist, Conny
author_sort Sassenhagen, Ingrid
collection PubMed
description The majority of microalgal species reproduce asexually, yet population genetic studies rarely find identical multi-locus genotypes (MLG) in microalgal blooms. Instead, population genetic studies identify large genotypic diversity in most microalgal species. This paradox of frequent asexual reproduction but low number of identical genotypes hampers interpretations of microalgal genotypic diversity. We present a computer model for estimating, for the first time, the number of distinct MLGs by simulating microalgal population composition after defined exponential growth periods. The simulations highlighted the effects of initial genotypic diversity, sample size and intraspecific differences in growth rates on the probability of isolating identical genotypes. We estimated the genotypic richness for five natural microalgal species with available high-resolution population genetic data and monitoring-based growth rates, indicating 500 000 to 2 000 000 distinct genotypes for species with few observed clonal replicates (<5%). Furthermore, our simulations indicated high variability in genotypic richness over time and among microalgal species. Genotypic richness was also strongly impacted by intraspecific variability in growth rates. The probability of finding identical MLGs and sampling a representative fraction of genotypes decreased noticeably with smaller sample sizes, challenging the detection of differences in genotypic diversity with typical isolate numbers in the field.
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spelling pubmed-93102652022-07-26 Estimating genotypic richness and proportion of identical multi-locus genotypes in aquatic microalgal populations Sassenhagen, Ingrid Erdner, Deana L Lougheed, Bryan C Richlen, Mindy L SjÖqvist, Conny J Plankton Res Original Article The majority of microalgal species reproduce asexually, yet population genetic studies rarely find identical multi-locus genotypes (MLG) in microalgal blooms. Instead, population genetic studies identify large genotypic diversity in most microalgal species. This paradox of frequent asexual reproduction but low number of identical genotypes hampers interpretations of microalgal genotypic diversity. We present a computer model for estimating, for the first time, the number of distinct MLGs by simulating microalgal population composition after defined exponential growth periods. The simulations highlighted the effects of initial genotypic diversity, sample size and intraspecific differences in growth rates on the probability of isolating identical genotypes. We estimated the genotypic richness for five natural microalgal species with available high-resolution population genetic data and monitoring-based growth rates, indicating 500 000 to 2 000 000 distinct genotypes for species with few observed clonal replicates (<5%). Furthermore, our simulations indicated high variability in genotypic richness over time and among microalgal species. Genotypic richness was also strongly impacted by intraspecific variability in growth rates. The probability of finding identical MLGs and sampling a representative fraction of genotypes decreased noticeably with smaller sample sizes, challenging the detection of differences in genotypic diversity with typical isolate numbers in the field. Oxford University Press 2022-07-16 /pmc/articles/PMC9310265/ /pubmed/35898815 http://dx.doi.org/10.1093/plankt/fbac034 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Sassenhagen, Ingrid
Erdner, Deana L
Lougheed, Bryan C
Richlen, Mindy L
SjÖqvist, Conny
Estimating genotypic richness and proportion of identical multi-locus genotypes in aquatic microalgal populations
title Estimating genotypic richness and proportion of identical multi-locus genotypes in aquatic microalgal populations
title_full Estimating genotypic richness and proportion of identical multi-locus genotypes in aquatic microalgal populations
title_fullStr Estimating genotypic richness and proportion of identical multi-locus genotypes in aquatic microalgal populations
title_full_unstemmed Estimating genotypic richness and proportion of identical multi-locus genotypes in aquatic microalgal populations
title_short Estimating genotypic richness and proportion of identical multi-locus genotypes in aquatic microalgal populations
title_sort estimating genotypic richness and proportion of identical multi-locus genotypes in aquatic microalgal populations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310265/
https://www.ncbi.nlm.nih.gov/pubmed/35898815
http://dx.doi.org/10.1093/plankt/fbac034
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