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PloS One 2019Owing to the hierarchical organization of biology, from genomes over transcriptomes and proteomes down to metabolomes, there is continuous debate about the extent to...
Owing to the hierarchical organization of biology, from genomes over transcriptomes and proteomes down to metabolomes, there is continuous debate about the extent to which data and interpretations derived from one level, e.g. the transcriptome, are in agreement with other levels, e.g. the metabolome. Here, we tested the effect of ocean acidification (OA; 400 vs. 1000 μatm CO2) and its modulation by light intensity (50 vs. 300 μmol photons m-2 s-1) on the biomass composition (represented by 75 key metabolites) of diploid and haploid life-cycle stages of the coccolithophore Emiliania huxleyi (RCC1216 and RCC1217) and compared these data with interpretations from previous physiological and gene expression screenings. The metabolite patterns showed minor responses to OA in both life-cycle stages. Whereas previous gene expression analyses suggested that the observed increased biomass buildup derived from lipid and carbohydrate storage, this dataset suggests that OA slightly increases overall biomass of cells, but does not significantly alter their metabolite composition. Generally, light was shown to be a more dominant driver of metabolite composition than OA, increasing the relative abundances of amino acids, mannitol and storage lipids, and shifting pigment contents to accommodate increased irradiance levels. The diploid stage was shown to contain vastly more osmolytes and mannitol than the haploid stage, which in turn had a higher relative content of amino acids, especially aromatic ones. Besides the differences between the investigated cell types and the general effects on biomass buildup, our analyses indicate that OA imposes only negligible effects on E. huxleyi´s biomass composition.
Topics: Biomass; Carbon Dioxide; Diploidy; Haploidy; Haptophyta; Hydrogen-Ion Concentration; Life Cycle Stages; Metabolome; Oceans and Seas; Seawater; Transcriptome
PubMed: 31291290
DOI: 10.1371/journal.pone.0218564 -
American Journal of Botany Aug 2022Whole-genome duplication is common in plants and is considered to have a broad range of effects on individuals' phenotypes and genomes and to be an important driver of...
Whole-genome duplication is common in plants and is considered to have a broad range of effects on individuals' phenotypes and genomes and to be an important driver of plant adaptation and speciation. Despite their increased capacity to cope with challenging environments, polyploid lineages are generally as prone to extinction, and sometimes more prone, than their diploid progenitors. Although several explanations have been proposed to explain the short- and long-term disadvantages of polyploidy on the survival probability of populations, the consequences of whole-genome doubling on the heritable variance remain poorly studied. Whole-genome doubling can have major effects not only on the genetics, but also on the ecology and life history of the populations. Modifications of other properties of populations can reverse the effects of polyploidization per se on heritable variance. In this synthesis, I summarize the empirical and theoretical knowledge about the multifarious consequences of genome doubling on the heritable variance of quantitative traits and on the evolutionary potential of polyploid populations compared to their diploid progenitors. I propose several ways to decipher the consequences of whole-genome doubling on survival probability and to study the further consequences of shifting the ecological niche and life-history traits of a population. I also highlight some practical considerations for comparing the heritable variance of a trait among different cytotypes. Such investigations appear to be timely and necessary to understand more about the paradoxical aspects of polyploidization and to understand the evolutionary potential of polyploid lineages in a global warming context.
Topics: Biological Evolution; Diploidy; Genome, Plant; Plants; Polyploidy
PubMed: 35862788
DOI: 10.1002/ajb2.16029 -
American Journal of Botany Nov 2021Whole-genome duplication (WGD) is ubiquitous in plants. Recent reviews and meta-analyses, aiming to understand how such phenotypic transition could facilitate... (Meta-Analysis)
Meta-Analysis
PREMISE
Whole-genome duplication (WGD) is ubiquitous in plants. Recent reviews and meta-analyses, aiming to understand how such phenotypic transition could facilitate neopolyploid establishment, demonstrated multifarious immediate effects of WGD on fitness and reproductive traits. Yet, little is known about how short-term modifications evolve through time. Such a comparison among new and established polyploid lineages is crucial to understand which effects of WGD promote or impede polyploid survival.
METHODS
We performed a meta-analysis to determine how WGD affects morphological, cellular, and fitness traits in autotetraploid individuals compared to their diploid progenitors. We studied how established tetraploids differed from diploids compared to neotetraploids, to further learn about the fate of WGD-associated phenotypic effects during polyploid establishment.
RESULTS
The short-term effects of WGD were an increase in size of morphological traits and cells, accompanied by a decrease in fitness and the number of cells. After establishment, the morphological effect persisted, but cellular and fitness components reverted back to the values observed in the diploid ancestors.
CONCLUSIONS
Our results suggest that the larger morphology of autotetraploids is not a constraint to establishment. However, other observable effects of genome doubling disappeared with time, suggesting that solving cellular and fitness constraints are critical aspects for polyploid establishment.
Topics: Diploidy; Gene Duplication; Genome, Plant; Polyploidy; Tetraploidy
PubMed: 34618350
DOI: 10.1002/ajb2.1759 -
Scientific Reports Jul 2022Single-cell Hi-C analysis of diploid human cells is difficult because of the lack of dense chromosome contact information and the presence of homologous chromosomes with...
Single-cell Hi-C analysis of diploid human cells is difficult because of the lack of dense chromosome contact information and the presence of homologous chromosomes with very similar nucleotide sequences. Thus here, we propose a new algorithm to reconstruct the three-dimensional (3D) chromosomal architectures from the Hi-C dataset of single diploid human cells using allele-specific single-nucleotide variations (SNVs). We modified our recurrence plot-based algorithm, which is suitable for the estimation of the 3D chromosome structure from sparse Hi-C datasets, by newly incorporating a function of discriminating SNVs specific to each homologous chromosome. Here, we eventually regard a contact map as a recurrence plot. Importantly, the proposed method does not require any imputation for ambiguous segment information, but could efficiently reconstruct 3D chromosomal structures in single human diploid cells at a 1-Mb resolution. Datasets of segments without allele-specific SNVs, which were considered to be of little value, can also be used to validate the estimated chromosome structure. Introducing an additional mathematical measure called a refinement further improved the resolution to 40-kb or 100-kb. The reconstruction data supported the notion that human chromosomes form chromosomal territories and take fractal structures where the dimension for the underlying chromosome structure is a non-integer value.
Topics: Algorithms; Alleles; Chromosome Structures; Chromosomes; Chromosomes, Human; Diploidy; Humans
PubMed: 35817790
DOI: 10.1038/s41598-022-15038-4 -
Scientific Reports Oct 2023Polyploid cells contain more than two copies of each chromosome. Polyploidy has important roles in development, evolution, and tissue regeneration/repair, and can arise...
Polyploid cells contain more than two copies of each chromosome. Polyploidy has important roles in development, evolution, and tissue regeneration/repair, and can arise as a programmed polyploidization event or be triggered by stress. Cancer cells are often polyploid. C. elegans nematodes are typically diploid, but stressors such as heat shock and starvation can trigger the production of tetraploid offspring. In this study, we utilized a recently published protocol to generate stable tetraploid strains of C. elegans and compared their physiological traits and sensitivity to two DNA-damaging chemotherapeutic drugs, cisplatin and doxorubicin. As prior studies have shown, tetraploid worms are approximately 30% longer, shorter-lived, and have a smaller brood size than diploids. We investigated the reproductive defect further, determining that tetraploid worms have a shorter overall germline length, a higher rate of germ cell apoptosis, more aneuploidy in oocytes and offspring, and larger oocytes and embryos. We also found that tetraploid worms are modestly protected from growth delay from the chemotherapeutics but are similarly or more sensitive to reproductive toxicity. Transcriptomic analysis revealed differentially expressed pathways that may contribute to sensitivity to stress. This study reveals phenotypic consequences of whole-animal tetraploidy that make C. elegans an excellent model for ploidy differences.
Topics: Animals; Tetraploidy; Caenorhabditis elegans; Ploidies; Polyploidy; Diploidy
PubMed: 37872247
DOI: 10.1038/s41598-023-45225-w -
Journal of Nanobiotechnology Mar 2022Budding yeast, Saccharomyces cerevisiae, has been extensively favored as a model organism in aging and age-related studies, thanks to versatile microfluidic chips for...
A high-throughput microfluidic diploid yeast long-term culturing (DYLC) chip capable of bud reorientation and concerted daughter dissection for replicative lifespan determination.
BACKGROUND
Budding yeast, Saccharomyces cerevisiae, has been extensively favored as a model organism in aging and age-related studies, thanks to versatile microfluidic chips for cell dynamics assay and replicative lifespan (RLS) determination at single-cell resolution. However, previous microfluidic structures aiming to immobilize haploid yeast may impose excessive spatial constraint and mechanical stress on cells, especially for larger diploid cells that sprout in a bipolar pattern.
RESULTS
We developed a high-throughput microfluidic chip for diploid yeast long-term culturing (DYLC), optical inspection and cell-aging analysis. The DYLC chip features 1100 "leaky bowl"-shaped traps formatted in an array to dock single cells under laminar-perfused medium and effectively remove daughter cells by hydraulic shear forces. The delicate microstructures of cell traps enable hydrodynamic rotation of newborn buds, so as to ensure bud reorientation towards downstream and concerted daughter dissection thereafter. The traps provide sufficient space for cell-volume enlargement during aging, and thus properly alleviate structural compression and external stress on budding yeast. Trapping efficiency and long-term maintenance of single cells were optimized according to computational fluid dynamics simulations and experimental characterization in terms of critical parameters of the trap and array geometries. Owing to the self-filling of daughter cells dissected from traps upstream, an initial trapping efficiency of about 70% can rapidly reach a high value of over 92% after 4-hour cell culturing. During yeast proliferation and aging, cellular processes of growth, budding and daughter dissection were continuously tracked for over 60 h by time-lapse imaging. Yeast RLS and budding time interval (BTI) were directly calculated by the sequential two-digit codes indicating the budding status in images. With the employed diploid yeast strain, we obtained an RLS of 24.29 ± 3.65 generations, and verified the extension of BTI in the first couple of generations after birth and the last several generations approaching death, as well as cell de-synchronization along diploid yeast aging.
CONCLUSIONS
The DYLC chip offers a promising platform for reliable capture and culturing of diploid yeast cells and for life-long tracking of cell dynamics and replicative aging processes so that grasping comprehensive insights of aging mechanism in complex eukaryotic cells.
Topics: Cell Division; Diploidy; Humans; Infant, Newborn; Longevity; Microfluidics; Saccharomyces cerevisiae
PubMed: 35361237
DOI: 10.1186/s12951-022-01379-9 -
The New Phytologist Feb 2019Flowering plants serve as a powerful model for studying the evolution of nuclear genome size (GS) given the tremendous GS variation that exists both within and across...
Flowering plants serve as a powerful model for studying the evolution of nuclear genome size (GS) given the tremendous GS variation that exists both within and across angiosperm lineages. Helianthus sunflowers consist of c. 50 species native to North America that occupy diverse habitats and vary in ploidy level. In the current study, we generated a comprehensive GS database for 49 Helianthus species using flow cytometric approaches. We examined variability across the genus and present a comparative phylogenetic analysis of GS evolution in diploid Helianthus species. Results demonstrated that different clades of diploid Helianthus species showed evolutionary patterns of GS contraction, expansion and relative stasis, with annual diploid species evolving smaller GS with the highest rate of evolution. Phylogenetic comparative analyses of diploids revealed significant negative associations of GS with temperature seasonality and cell production rate, indicating that the evolution of larger GS in Helianthus diploids may be more permissible in habitats with longer growing seasons where selection for more rapid growth may be relaxed. The Helianthus GS database presented here and corresponding analyses of environmental and phenotypic correlates will facilitate ongoing and future research on the ultimate drivers of GS evolution in this well-studied North American plant genus.
Topics: Cell Nucleus; Diploidy; Environment; Genetic Variation; Genome Size; Genome, Plant; Helianthus; Least-Squares Analysis; Phylogeny; Regression Analysis
PubMed: 30368824
DOI: 10.1111/nph.15465 -
BMC Plant Biology Feb 2023The evolutionarily conserved Polycomb Repressive Complex 2 (PRC2) plays a vital role in epigenetic gene repression by depositing tri-methylation on lysine residue K27 of...
BACKGROUND
The evolutionarily conserved Polycomb Repressive Complex 2 (PRC2) plays a vital role in epigenetic gene repression by depositing tri-methylation on lysine residue K27 of histone H3 (H3K27me3) at the target loci, thus participating in diverse biological processes. However, few reports about PRC2 are available in plant species with large and complicated genomes, like cotton.
RESULTS
Here, we performed a genome-wide identification and comprehensive analysis of cotton PRC2 core components, especially in upland cotton (Gossypium hirsutum). Firstly, a total of 8 and 16 PRC2 core components were identified in diploid and tetraploid cotton species, respectively. These components were classified into four groups, E(z), Su(z)12, ESC and p55, and the members in the same group displayed good collinearity, similar gene structure and domain organization. Next, we cloned G. hirsutum PRC2 (GhPRC2) core components, and found that most of GhPRC2 proteins were localized in the nucleus, and interacted with each other to form multi-subunit complexes. Moreover, we analyzed the expression profile of GhPRC2 genes. The transcriptome data and quantitative real-time PCR (qRT-PCR) assays indicated that GhPRC2 genes were ubiquitously but differentially expressed in various tissues, with high expression levels in reproductive organs like petals, stamens and pistils. And the expressions of several GhPRC2 genes, especially E(z) group genes, were responsive to various abiotic and biotic stresses, including drought, salinity, extreme temperature, and Verticillium dahliae (Vd) infection.
CONCLUSION
We identified PRC2 core components in upland cotton, and systematically investigated their classifications, phylogenetic and synteny relationships, gene structures, domain organizations, subcellular localizations, protein interactions, tissue-specific and stresses-responsive expression patterns. Our results will provide insights into the evolution and composition of cotton PRC2, and lay the foundation for further investigation of their biological functions and regulatory mechanisms.
Topics: Gossypium; Phylogeny; Cell Nucleus; Diploidy; Droughts
PubMed: 36721081
DOI: 10.1186/s12870-023-04075-4 -
Circulation Jan 2023
Topics: Humans; Myocytes, Cardiac; Diploidy; E2F Transcription Factors; Infarction; Regeneration; Cell Proliferation
PubMed: 36622904
DOI: 10.1161/CIRCULATIONAHA.122.061018 -
G3 (Bethesda, Md.) Feb 2021This paper introduces AlphaSimR, an R package for stochastic simulations of plant and animal breeding programs. AlphaSimR is a highly flexible software package able to...
This paper introduces AlphaSimR, an R package for stochastic simulations of plant and animal breeding programs. AlphaSimR is a highly flexible software package able to simulate a wide range of plant and animal breeding programs for diploid and autopolyploid species. AlphaSimR is ideal for testing the overall strategy and detailed design of breeding programs. AlphaSimR utilizes a scripting approach to building simulations that is particularly well suited for modeling highly complex breeding programs, such as commercial breeding programs. The primary benefit of this scripting approach is that it frees users from preset breeding program designs and allows them to model nearly any breeding program design. This paper lists the main features of AlphaSimR and provides a brief example simulation to show how to use the software.
Topics: Animals; Computer Simulation; Diploidy; Plant Breeding; Software
PubMed: 33704430
DOI: 10.1093/g3journal/jkaa017