ArticleGenetics2015
Uncovering Cryptic Asexuality in Daphnia magna by RAD Sequencing.
Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed, 39 citations in OpenAlex.
- Evidence for selfing in a vertebrate from whole-genome sequencing.Genome research · 2023Article
- Gene transcriptional profiles in gonads of Bacillus taxa (Phasmida) with different cytological mechanisms of automictic parthenogenesis.Zoological letters · 2022Article
- Not so clonal asexuals: Unraveling the secret sex life ofEvolution letters · 2021Article
- How clonal are clones? A quest for loss of heterozygosity during asexual reproduction in Daphnia magna.Journal of evolutionary biology · 2019Article
- Identification of General Patterns of Sex-Biased Expression inG3 (Bethesda, Md.) · 2018Article
- Low recombination rates in sexual species and sex-asex transitions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Article
- Article
- Transition from Environmental to Partial Genetic Sex Determination in Daphnia through the Evolution of a Female-Determining Incipient W Chromosome.Molecular biology and evolution · 2017Article
- Evolutionary mysteries in meiosis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- A high-density genetic map reveals variation in recombination rate across the genome of Daphnia magna.BMC genetics · 2016Article
- The evolution of meiotic sex and its alternatives.Proceedings. Biological sciences · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The breeding systems of many organisms are cryptic and difficult to investigate with observational data, yet they have profound effects on a species' ecology, evolution, and genome organization. Genomic approaches offer a novel, indirect way to investigate breeding systems, specifically by studying the transmission of genetic information from parents to offspring. Here we exemplify this method through an assessment of self-fertilization vs. automictic parthenogenesis in Daphnia magna. Self-fertilization reduces heterozygosity by 50% compared to the parents, but under automixis, whereby two haploid products from a single meiosis fuse, the expected heterozygosity reduction depends on whether the two meiotic products are separated during meiosis I or II (i.e., central vs. terminal fusion). Reviewing the existing literature and incorporating recombination interference, we derive an interchromosomal and an intrachromosomal prediction of how to distinguish various forms of automixis from self-fertilization using offspring heterozygosity data. We then test these predictions using RAD-sequencing data on presumed automictic diapause offspring of so-called nonmale producing strains and compare them with "self-fertilized" offspring produced by within-clone mating. The results unequivocally show that these offspring were produced by automixis, mostly, but not exclusively, through terminal fusion. However, the results also show that this conclusion was only possible owing to genome-wide heterozygosity data, with phenotypic data as well as data from microsatellite markers yielding inconclusive or even misleading results. Our study thus demonstrates how to use the power of genomic approaches for elucidating breeding systems, and it provides the first demonstration of automictic parthenogenesis in Daphnia.
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Registered trials
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.