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Karlin EF. A Comparison of Entropic Diversity and Variance in the Study of Population Structure. ENTROPY (BASEL, SWITZERLAND) 2023; 25:492. [PMID: 36981380 PMCID: PMC10048111 DOI: 10.3390/e25030492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 01/10/2023] [Accepted: 03/06/2023] [Indexed: 06/18/2023]
Abstract
AMOVA is a widely used approach that focuses on variance within and among strata to study the hierarchical genetic structure of populations. The recently developed Shannon Informational Diversity Translation Analysis (SIDTA) instead tackles exploration of hierarchical genetic structure using entropic allelic diversity. A mix of artificial and natural population data sets (including allopolyploids) is used to compare the performance of SIDTA (a 'q = 1' diversity measure) vs. AMOVA (a 'q = 2' measure) under different conditions. An additive allelic differentiation index based on entropic allelic diversity measuring the mean difference among populations (ΩAP) was developed to facilitate the comparison of SIDTA with AMOVA. These analyses show that the genetic population structure seen by AMOVA is notably different in many ways from that provided by SIDTA, and the extent of this difference is greatly affected by the stability of the markers employed. Negative among group values are lacking with SIDTA but occur with AMOVA, especially with allopolyploids. To provide more focus on measuring allelic differentiation among populations, additional measures were also tested including Bray-Curtis Genetic Differentiation (BCGD) and several expected heterozygosity-based indices (e.g., GST, G″ST, Jost's D, and DEST). Corrections, such as almost unbiased estimators, that were designed to work with heterozygosity-based fixation indices (e.g., FST, GST) are problematic when applied to differentiation indices (eg., DEST, G″ST, G'STH).
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Affiliation(s)
- Eric F Karlin
- School of Theoretical & Applied Science, Ramapo College, Mahwah, NJ 07430, USA
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Heck MA, Lüth VM, van Gessel N, Krebs M, Kohl M, Prager A, Joosten H, Decker EL, Reski R. Axenic in vitro cultivation of 19 peat moss (Sphagnum L.) species as a resource for basic biology, biotechnology, and paludiculture. THE NEW PHYTOLOGIST 2021; 229:861-876. [PMID: 32910470 DOI: 10.1111/nph.16922] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 08/27/2020] [Indexed: 05/07/2023]
Abstract
Sphagnum farming can substitute peat with renewable biomass and thus help mitigate climate change. Large volumes of the required founder material can only be supplied sustainably by axenic cultivation in bioreactors. We established axenic in vitro cultures from sporophytes of 19 Sphagnum species collected in Austria, Germany, Latvia, the Netherlands, Russia, and Sweden: S. angustifolium, S. balticum, S. capillifolium, S. centrale, S. compactum, S. cuspidatum, S. fallax, S. fimbriatum, S. fuscum, S. lindbergii, S. medium/divinum, S. palustre, S. papillosum, S. rubellum, S. russowii, S. squarrosum, S. subnitens, S. subfulvum and S. warnstorfii. These species cover five of the six European Sphagnum subgenera; namely, Acutifolia, Cuspidata, Rigida, Sphagnum and Squarrosa. Their growth was measured in suspension cultures, whereas their ploidy was determined by flow cytometry and compared with the genome size of Physcomitrella patens. We identified haploid and diploid Sphagnum species, found that their cells are predominantly arrested in the G1 phase of the cell cycle, and did not find a correlation between plant productivity and ploidy. DNA barcoding was achieved by sequencing introns of the BRK1 genes. With this collection, high-quality founder material for diverse large-scale applications, but also for basic Sphagnum research, is available from the International Moss Stock Center.
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Affiliation(s)
- Melanie A Heck
- Plant Biotechnology, Faculty of Biology, University of Freiburg, Freiburg, 79104, Germany
| | - Volker M Lüth
- Plant Biotechnology, Faculty of Biology, University of Freiburg, Freiburg, 79104, Germany
| | - Nico van Gessel
- Plant Biotechnology, Faculty of Biology, University of Freiburg, Freiburg, 79104, Germany
| | - Matthias Krebs
- Peatland Studies and Palaeoecology, Institute of Botany and Landscape Ecology, University of Greifswald, Greifswald, 17487, Germany
- Greifswald Mire Centre, Greifswald, 17489, Germany
| | - Mira Kohl
- Peatland Studies and Palaeoecology, Institute of Botany and Landscape Ecology, University of Greifswald, Greifswald, 17487, Germany
- Greifswald Mire Centre, Greifswald, 17489, Germany
| | - Anja Prager
- Peatland Studies and Palaeoecology, Institute of Botany and Landscape Ecology, University of Greifswald, Greifswald, 17487, Germany
- Greifswald Mire Centre, Greifswald, 17489, Germany
| | - Hans Joosten
- Peatland Studies and Palaeoecology, Institute of Botany and Landscape Ecology, University of Greifswald, Greifswald, 17487, Germany
- Greifswald Mire Centre, Greifswald, 17489, Germany
| | - Eva L Decker
- Plant Biotechnology, Faculty of Biology, University of Freiburg, Freiburg, 79104, Germany
| | - Ralf Reski
- Plant Biotechnology, Faculty of Biology, University of Freiburg, Freiburg, 79104, Germany
- CIBSS - Centre for Integrative Biological Signalling Studies, University of Freiburg, Freiburg, 79104, Germany
- Cluster of Excellence livMatS @ FIT - Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Freiburg, 79110, Germany
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