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Bråtelund S, Ruttink T, Goecke F, Broch OJ, Klemetsdal G, Ødegård J, Ergon Å. Characterization of fine geographic scale population genetics in sugar kelp (Saccharina latissima) using genome-wide markers. BMC Genomics 2024; 25:901. [PMID: 39350004 PMCID: PMC11441103 DOI: 10.1186/s12864-024-10793-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 09/11/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND Kelps are not only ecologically important, being primary producers and habitat forming species, they also hold substantial economic potential. Expansion of the kelp cultivation industry raises the interest for genetic improvement of kelp for cultivation, as well as concerns about genetic introgression from cultivated to wild populations. Thus, increased understanding of population genetics in natural kelp populations is crucial. Genotyping-by-sequencing (GBS) is a powerful tool for studying population genetics. Here, using Saccharina latissima (sugar kelp) as our study species, we characterize the population genetics at a fine geographic scale, while also investigating the influence of marker type (biallelic SNPs versus multi-allelic short read-backed haplotypes) and minor allele count (MAC) thresholds on estimated population genetic metrics. RESULTS We examined 150 sporophytes from 10 locations within a small area in Mid-Norway. Employing GBS, we detected 20,710 bi-allelic SNPs and 42,264 haplotype alleles at 20,297 high quality GBS loci. We used both marker types as well as two MAC filtering thresholds (3 and 15) in the analyses. Overall, higher genetic diversity, more outbreeding and stronger substructure was estimated using haplotypes compared to SNPs, and with MAC 15 compared to MAC 3. The population displayed high genetic diversity (HE ranging from 0.18-0.37) and significant outbreeding (FIS ≤ - 0.076). Construction of a genomic relationship matrix, however, revealed a few close relatives within sampling locations. The connectivity between sampling locations was high (FST ≤ 0.09), but subtle, yet significant, genetic substructure was detected, even between sampling locations separated by less than 2 km. Isolation-by-distance was significant and explained 15% of the genetic variation, while incorporation of predicted currents in an "isolation-by-oceanography" model explained a larger proportion (~ 27%). CONCLUSION The studied population is diverse, significantly outbred and exhibits high connectivity, partly due to local currents. The use of genome-wide markers combined with permutation testing provides high statistical power to detect subtle population substructure and inbreeding or outbreeding. Short haplotypes extracted from GBS data and removal of rare alleles enhances the resolution. Careful consideration of marker type and filtering thresholds is crucial when comparing independent studies, as they profoundly influence numerical estimates of population genetic metrics.
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Affiliation(s)
- Signe Bråtelund
- Department of Plant Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, P.O. Box 5003, N-1432, Ås, Norway.
| | - Tom Ruttink
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Caritasstraat 39, 9090, Melle, Belgium
- Department of Plant Biotechnology and Bioinformatics, Faculty of Sciences, Ghent University, Technologiepark 71, 9052, Ghent, Belgium
| | - Franz Goecke
- Department of Plant Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, P.O. Box 5003, N-1432, Ås, Norway
| | - Ole Jacob Broch
- Sintef Ocean, P.O. Box 4762 Torgarden, Trondheim, 7465, Norway
| | - Gunnar Klemetsdal
- Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, P.O. Box 5003, N-1432, Ås, Norway
| | - Jørgen Ødegård
- Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, P.O. Box 5003, N-1432, Ås, Norway
| | - Åshild Ergon
- Department of Plant Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, P.O. Box 5003, N-1432, Ås, Norway
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Diehl N, Li H, Scheschonk L, Burgunter-Delamare B, Niedzwiedz S, Forbord S, Sæther M, Bischof K, Monteiro C. The sugar kelp Saccharina latissima I: recent advances in a changing climate. ANNALS OF BOTANY 2024; 133:183-212. [PMID: 38109285 PMCID: PMC10921839 DOI: 10.1093/aob/mcad173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/26/2023] [Accepted: 11/07/2023] [Indexed: 12/20/2023]
Abstract
BACKGROUND The sugar kelp Saccharina latissima is a Laminariales species widely distributed in the Northern Hemisphere. Its physiology and ecology have been studied since the 1960s, given its ecological relevance on western temperate coasts. However, research interest has been rising recently, driven mainly by reports of negative impacts of anthropogenically induced environmental change and by the increased commercial interest in cultivating the species, with several industrial applications for the resulting biomass. SCOPE We used a variety of sources published between 2009 to May 2023 (but including some earlier literature where required), to provide a comprehensive review of the ecology, physiology, biochemical and molecular biology of S. latissima. In so doing we aimed to better understand the species' response to stressors in natural communities, but also inform the sustainable cultivation of the species. CONCLUSION Due to its wide distribution, S. latissima has developed a variety of physiological and biochemical mechanisms to adjust to environmental changes, including adjustments in photosynthetic parameters, modulation of osmolytes and antioxidants, reprogramming of gene expression and epigenetic modifications, among others summarized in this review. This is particularly important because massive changes in the abundance and distribution of S. latissima have already been observed. Namely, presence and abundance of S. latissima has significantly decreased at the rear edges on both sides of the Atlantic, and increased in abundance at the polar regions. These changes were mainly caused by climate change and will therefore be increasingly evident in the future. Recent developments in genomics, transcriptomics and epigenomics have clarified the existence of genetic differentiation along its distributional range with implications in the fitness at some locations. The complex biotic and abiotic interactions unraveled here demonstrated the cascading effects the disappearance of a kelp forest can have in a marine ecosystem. We show how S. latissima is an excellent model to study acclimation and adaptation to environmental variability and how to predict future distribution and persistence under climate change.
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Affiliation(s)
- Nora Diehl
- Marine Botany, Faculty of Biology and Chemistry, University of Bremen, 28359 Bremen, Germany
| | - Huiru Li
- Key Laboratory of Mariculture (Ministry of Education), Fisheries College, Ocean University of China, Qingdao 266003, China
| | | | - Bertille Burgunter-Delamare
- Matthias Schleiden Institute of Genetics, Bioinformatics and Molecular Botany, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Sarina Niedzwiedz
- Marine Botany, Faculty of Biology and Chemistry, University of Bremen, 28359 Bremen, Germany
| | - Silje Forbord
- Department of Fisheries and New Biomarine Industry, SINTEF Ocean AS, 7465 Trondheim, Norway
| | - Maren Sæther
- Seaweed Solutions AS, Bynesveien 50C, 7018 Trondheim, Norway
| | - Kai Bischof
- Marine Botany, Faculty of Biology and Chemistry, University of Bremen, 28359 Bremen, Germany
| | - Catia Monteiro
- CIBIO, Research Centre in Biodiversity and Genetic Resources – InBIO Associate Laboratory, Campus of Vairão, University of Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus of Vairão, Vairão, Portugal
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