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Koutecký P, Smith T, Loureiro J, Kron P. Best practices for instrument settings and raw data analysis in plant flow cytometry. Cytometry A 2023; 103:953-966. [PMID: 37807676 DOI: 10.1002/cyto.a.24798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 05/26/2023] [Accepted: 09/12/2023] [Indexed: 10/10/2023]
Abstract
Flow cytometry (FCM) is now the most widely used method to determine ploidy levels and genome size of plants. To get reliable estimates and allow reproducibility of measurements, the methodology should be standardized and follow the best practices in the field. In this article, we discuss instrument calibration and quality control and various instrument and acquisition settings (parameters, flow rate, number of events, scales, use of discriminators, peak positions). These settings must be decided before measurements because they determine the amount and quality of the data and thus influence all downstream analyses. We describe the two main approaches to raw data analysis (gating and histogram modeling), and we discuss their advantages and disadvantages. Finally, we provide a summary of best practice recommendations for data acquisition and raw data analysis in plant FCM.
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Affiliation(s)
- Petr Koutecký
- Department of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czechia
| | - Tyler Smith
- Agriculture and Agri-Food Canada (AAFC), Ottawa, Ontario, Canada
| | - João Loureiro
- Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Paul Kron
- Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
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Wisecaver JH, Auber RP, Pendleton AL, Watervoort NF, Fallon TR, Riedling OL, Manning SR, Moore BS, Driscoll WW. Extreme genome diversity and cryptic speciation in a harmful algal-bloom-forming eukaryote. Curr Biol 2023; 33:2246-2259.e8. [PMID: 37224809 PMCID: PMC10247466 DOI: 10.1016/j.cub.2023.05.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/14/2023] [Accepted: 05/02/2023] [Indexed: 05/26/2023]
Abstract
Harmful algal blooms of the toxic haptophyte Prymnesium parvum are a recurrent problem in many inland and estuarine waters around the world. Strains of P. parvum vary in the toxins they produce and in other physiological traits associated with harmful algal blooms, but the genetic basis for this variation is unknown. To investigate genome diversity in this morphospecies, we generated genome assemblies for 15 phylogenetically and geographically diverse strains of P. parvum, including Hi-C guided, near-chromosome-level assemblies for two strains. Comparative analysis revealed considerable DNA content variation between strains, ranging from 115 to 845 Mbp. Strains included haploids, diploids, and polyploids, but not all differences in DNA content were due to variation in genome copy number. Haploid genome size between strains of different chemotypes differed by as much as 243 Mbp. Syntenic and phylogenetic analyses indicate that UTEX 2797, a common laboratory strain from Texas, is a hybrid that retains two phylogenetically distinct haplotypes. Investigation of gene families variably present across the strains identified several functional categories associated with metabolic and genome size variation in P. parvum, including genes for the biosynthesis of toxic metabolites and proliferation of transposable elements. Together, our results indicate that P. parvum comprises multiple cryptic species. These genomes provide a robust phylogenetic and genomic framework for investigations into the eco-physiological consequences of the intra- and inter-specific genetic variation present in P. parvum and demonstrate the need for similar resources for other harmful algal-bloom-forming morphospecies.
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Affiliation(s)
- Jennifer H Wisecaver
- Department of Biochemistry, Purdue University, 175 S University St, West Lafayette, IN 47907, USA; Purdue Center for Plant Biology, Purdue University, 175 S University St, West Lafayette, IN 47907, USA.
| | - Robert P Auber
- Department of Biochemistry, Purdue University, 175 S University St, West Lafayette, IN 47907, USA; Purdue Center for Plant Biology, Purdue University, 175 S University St, West Lafayette, IN 47907, USA
| | - Amanda L Pendleton
- Department of Biochemistry, Purdue University, 175 S University St, West Lafayette, IN 47907, USA; Purdue Center for Plant Biology, Purdue University, 175 S University St, West Lafayette, IN 47907, USA
| | - Nathan F Watervoort
- Department of Biochemistry, Purdue University, 175 S University St, West Lafayette, IN 47907, USA; Purdue Center for Plant Biology, Purdue University, 175 S University St, West Lafayette, IN 47907, USA
| | - Timothy R Fallon
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography and University of California San Diego, 9500 Gilman Dr #0204, La Jolla, CA 92093, USA
| | - Olivia L Riedling
- Department of Biochemistry, Purdue University, 175 S University St, West Lafayette, IN 47907, USA; Purdue Center for Plant Biology, Purdue University, 175 S University St, West Lafayette, IN 47907, USA
| | - Schonna R Manning
- Department of Biological Sciences, Institute of Environment, Florida International University, 3000 NE 151st Street, MSB 250B, North Miami, FL 33181, USA
| | - Bradley S Moore
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography and University of California San Diego, 9500 Gilman Dr #0204, La Jolla, CA 92093, USA; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California at San Diego, 9500 Gilman Dr #0204, La Jolla, CA 92093, USA
| | - William W Driscoll
- Department of Biology, Penn State Harrisburg, 777 W. Harrisburg Pike, Middletown, PA 17057, USA
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Temsch EM, Koutecký P, Urfus T, Šmarda P, Doležel J. Reference standards for flow cytometric estimation of absolute nuclear DNA content in plants. Cytometry A 2022; 101:710-724. [PMID: 34405937 PMCID: PMC9545105 DOI: 10.1002/cyto.a.24495] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/31/2021] [Accepted: 08/02/2021] [Indexed: 11/11/2022]
Abstract
The estimation of nuclear DNA content has been by far the most popular application of flow cytometry in plants. Because flow cytometry measures relative fluorescence intensities of nuclei stained by a DNA fluorochrome, ploidy determination, and estimation of the nuclear DNA content in absolute units both require comparison to a reference standard of known DNA content. This implies that the quality of the results obtained depends on the standard selection and use. Internal standardization, when the nuclei of an unknown sample and the reference standard are isolated, stained, and measured simultaneously, is mandatory for precise measurements. As DNA peaks representing G1 /G0 nuclei of the sample and standard appear on the same histogram of fluorescence intensity, the quotient of their position on the fluorescence intensity axis provides the quotient of DNA amounts. For the estimation of DNA amounts in absolute units, a number of well-established standards are now available to cover the range of known plant genome sizes. Since there are different standards in use, the standard and the genome size assigned to it has always to be reported. When none of the established standards fits, the introduction of a new standard species is needed. For this purpose, the regression line approach or simultaneous analysis of the candidate standard with several established standards should be prioritized. Moreover, the newly selected standard organism has to fulfill a number of requirements: it should be easy to identify and maintain, taxonomically unambiguous, globally available, with known genome size stability, lacking problematic metabolites, suitable for isolation of sufficient amounts of nuclei, and enabling measurements with low coefficients of variation of DNA peaks, hence suitable for the preparation of high quality samples.
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Affiliation(s)
- Eva M. Temsch
- Department of Botany and Biodiversity ResearchUniversity of ViennaViennaAustria
| | - Petr Koutecký
- Department of Botany, Faculty of ScienceUniversity of South BohemiaČeské BudějoviceCzech Republic
| | - Tomáš Urfus
- Department of Botany, Faculty of ScienceCharles UniversityPrague 2Czech Republic
| | - Petr Šmarda
- Department of Botany and Zoology, Faculty of ScienceMasaryk UniversityBrnoCzech Republic
| | - Jaroslav Doležel
- Centre of the Region Haná for Biotechnological and Agricultural ResearchInstitute of Experimental Botany of the Czech Academy of SciencesOlomoucCzech Republic
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Sliwinska E, Loureiro J, Leitch IJ, Šmarda P, Bainard J, Bureš P, Chumová Z, Horová L, Koutecký P, Lučanová M, Trávníček P, Galbraith DW. Application-based guidelines for best practices in plant flow cytometry. Cytometry A 2021; 101:749-781. [PMID: 34585818 DOI: 10.1002/cyto.a.24499] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 08/10/2021] [Accepted: 08/26/2021] [Indexed: 12/15/2022]
Abstract
Flow cytometry (FCM) is currently the most widely-used method to establish nuclear DNA content in plants. Since simple, 1-3-parameter, flow cytometers, which are sufficient for most plant applications, are commercially available at a reasonable price, the number of laboratories equipped with these instruments, and consequently new FCM users, has greatly increased over the last decade. This paper meets an urgent need for comprehensive recommendations for best practices in FCM for different plant science applications. We discuss advantages and limitations of establishing plant ploidy, genome size, DNA base composition, cell cycle activity, and level of endoreduplication. Applications of such measurements in plant systematics, ecology, molecular biology research, reproduction biology, tissue cultures, plant breeding, and seed sciences are described. Advice is included on how to obtain accurate and reliable results, as well as how to manage troubleshooting that may occur during sample preparation, cytometric measurements, and data handling. Each section is followed by best practice recommendations; tips as to what specific information should be provided in FCM papers are also provided.
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Affiliation(s)
- Elwira Sliwinska
- Laboratory of Molecular Biology and Cytometry, Department of Agricultural Biotechnology, UTP University of Science and Technology, Bydgoszcz, Poland
| | - João Loureiro
- Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Ilia J Leitch
- Kew Science Directorate, Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Petr Šmarda
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Jillian Bainard
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, Saskatchewan, Canada
| | - Petr Bureš
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Zuzana Chumová
- Czech Academy of Sciences, Institute of Botany, Průhonice, Czech Republic.,Department of Botany, Faculty of Science, Charles University, Prague, Czech Republic
| | - Lucie Horová
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Petr Koutecký
- Department of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
| | - Magdalena Lučanová
- Czech Academy of Sciences, Institute of Botany, Průhonice, Czech Republic.,Department of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
| | - Pavel Trávníček
- Czech Academy of Sciences, Institute of Botany, Průhonice, Czech Republic
| | - David W Galbraith
- School of Plant Sciences, BIO5 Institute, Arizona Cancer Center, Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.,Henan University, School of Life Sciences, State Key Laboratory of Crop Stress Adaptation and Improvement, State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology, Kaifeng, China
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Galbraith DW. Validation of crowd-sourced plant genome size measurements. Cytometry A 2021; 101:703-706. [PMID: 34363316 DOI: 10.1002/cyto.a.24493] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/21/2021] [Accepted: 07/23/2021] [Indexed: 11/11/2022]
Affiliation(s)
- David W Galbraith
- BIO5 Institute, Arizona Cancer Center, and Department of Biomedical Engineering, University of Arizona, School of Plant Sciences, Tucson, Arizona, USA
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Evaluation of endopolyploidy patterns in selected Capsicum and Nicotiana species (Solanaceae). Biologia (Bratisl) 2021. [DOI: 10.1007/s11756-021-00704-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Feng X, Holzinger A, Permann C, Anderson D, Yin Y. Characterization of Two Zygnema Strains ( Zygnema circumcarinatum SAG 698-1a and SAG 698-1b) and a Rapid Method to Estimate Nuclear Genome Size of Zygnematophycean Green Algae. FRONTIERS IN PLANT SCIENCE 2021; 12:610381. [PMID: 33643345 PMCID: PMC7902510 DOI: 10.3389/fpls.2021.610381] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 01/15/2021] [Indexed: 05/07/2023]
Abstract
Zygnematophyceae green algae (ZGA) have been shown to be the closest relatives of land plants. Three nuclear genomes (Spirogloea muscicola, Mesotaenium endlicherianum, and Penium margaritaceum) of ZGA have been recently published, and more genomes are underway. Here we analyzed two Zygnema circumcarinatum strains SAG 698-1a (mating +) and SAG 698-1b (mating -) and found distinct cell sizes and other morphological differences. The molecular identities of the two strains were further investigated by sequencing their 18S rRNA, psaA and rbcL genes. These marker genes of SAG 698-1a were surprisingly much more similar to Z. cylindricum (SAG 698-2) than to SAG 698-1b. Phylogenies of these marker genes also showed that SAG 698-1a and SAG 698-1b were well separated into two different Zygnema clades, where SAG 698-1a was clustered with Z. cylindricum, while SAG 698-1b was clustered with Z. tunetanum. Additionally, physiological parameters like ETRmax values differed between SAG 698-1a and SAG 698-1b after 2 months of cultivation. The de-epoxidation state (DEPS) of the xanthophyll cycle pigments also showed significant differences. Surprisingly, the two strains could not conjugate, and significantly differed in the thickness of the mucilage layer. Additionally, ZGA cell walls are highly enriched with sticky and acidic polysaccharides, and therefore the widely used plant nuclear extraction protocols do not work well in ZGA. Here, we also report a fast and simple method, by mechanical chopping, for efficient nuclear extraction in the two SAG strains. More importantly, the extracted nuclei were further used for nuclear genome size estimation of the two SAG strains by flow cytometry (FC). To confirm the FC result, we have also used other experimental methods for nuclear genome size estimation of the two strains. Interestingly, the two strains were found to have very distinct nuclear genome sizes (313.2 ± 2.0 Mb in SAG 698-1a vs. 63.5 ± 0.5 Mb in SAG 698-1b). Our multiple lines of evidence strongly indicate that SAG 698-1a possibly had been confused with SAG 698-2 prior to 2005, and most likely represents Z. cylindricum or a closely related species.
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Affiliation(s)
- Xuehuan Feng
- Department of Food Science and Technology, Nebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE, United States
| | | | | | - Dirk Anderson
- Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Yanbin Yin
- Department of Food Science and Technology, Nebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE, United States
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Comparative transcriptome and metabolite profiling of four tissues from Alisma orientale (Sam.) Juzep reveals its inflorescence developmental and medicinal characteristics. Sci Rep 2019; 9:12310. [PMID: 31444376 PMCID: PMC6707231 DOI: 10.1038/s41598-019-48806-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 08/13/2019] [Indexed: 12/11/2022] Open
Abstract
Alisma orientale (Sam.) Juzep (A. orientale) is an important medicinal plant in traditional Chinese medicine. In this study, de novo RNA-seq of A. orientale was performed based on the cDNA libraries from four different tissues, roots, leaves, scapes and inflorescences. A total of 41,685 unigenes were assembled, 25,024 unigene functional annotations were obtained by searching against the five public sequence databases, and 3,411 simple sequence repeats in A. orientale were reported for the first time. 15,402 differentially expressed genes were analysed. The morphological characteristics showed that compared to the other tissues, the leaves had more chlorophyll, the scapes had more vascular bundles, and the inflorescences contained more starch granules and protein. In addition, the metabolic profiles of eight kinds of alisols metabolite profiling, which were measured by ultra-Performance liquid chromatography-triple quadrupole-mass spectrometry showed that alisol B 23-acetate and alisol B were the major components of the four tissues at amounts of 0.068~0.350 mg/g and 0.046~0.587 mg/g, respectively. In addition, qRT-PCR validated that farnesyl pyrophosphate synthase and 3-hydroxy-3-methylglutaryl-CoA reductase should be considered the critical candidate genes involved in alisol biosynthesis. These transcriptome and metabolic profiles of A. orientale may help clarify the molecular mechanisms underlying the medicinal characteristics of A. orientale.
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