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Nelson DR, Mystikou A, Jaiswal A, Rad-Menendez C, Preston MJ, De Boever F, El Assal DC, Daakour S, Lomas MW, Twizere JC, Green DH, Ratcliff WC, Salehi-Ashtiani K. Macroalgal deep genomics illuminate multiple paths to aquatic, photosynthetic multicellularity. MOLECULAR PLANT 2024; 17:747-771. [PMID: 38614077 DOI: 10.1016/j.molp.2024.03.011] [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: 10/06/2023] [Revised: 01/31/2024] [Accepted: 03/08/2024] [Indexed: 04/15/2024]
Abstract
Macroalgae are multicellular, aquatic autotrophs that play vital roles in global climate maintenance and have diverse applications in biotechnology and eco-engineering, which are directly linked to their multicellularity phenotypes. However, their genomic diversity and the evolutionary mechanisms underlying multicellularity in these organisms remain uncharacterized. In this study, we sequenced 110 macroalgal genomes from diverse climates and phyla, and identified key genomic features that distinguish them from their microalgal relatives. Genes for cell adhesion, extracellular matrix formation, cell polarity, transport, and cell differentiation distinguish macroalgae from microalgae across all three major phyla, constituting conserved and unique gene sets supporting multicellular processes. Adhesome genes show phylum- and climate-specific expansions that may facilitate niche adaptation. Collectively, our study reveals genetic determinants of convergent and divergent evolutionary trajectories that have shaped morphological diversity in macroalgae and provides genome-wide frameworks to understand photosynthetic multicellular evolution in aquatic environments.
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Affiliation(s)
- David R Nelson
- Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE; Center for Genomics and Systems Biology (CGSB), New York University Abu Dhabi, Abu Dhabi, UAE.
| | - Alexandra Mystikou
- Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE; Center for Genomics and Systems Biology (CGSB), New York University Abu Dhabi, Abu Dhabi, UAE; Biotechnology Research Center, Technology Innovation Institute, PO Box 9639, Masdar City, Abu Dhabi, UAE.
| | - Ashish Jaiswal
- Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE
| | - Cecilia Rad-Menendez
- Culture Collection of Algae and Protozoa, Scottish Association for Marine Science, Oban, Scotland, UK
| | - Michael J Preston
- National Center for Marine Algae and Microbiota, Bigelow Laboratory for Ocean Sciences, East Boothbay, ME, USA
| | - Frederik De Boever
- Culture Collection of Algae and Protozoa, Scottish Association for Marine Science, Oban, Scotland, UK
| | - Diana C El Assal
- Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE
| | - Sarah Daakour
- Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE; Center for Genomics and Systems Biology (CGSB), New York University Abu Dhabi, Abu Dhabi, UAE
| | - Michael W Lomas
- National Center for Marine Algae and Microbiota, Bigelow Laboratory for Ocean Sciences, East Boothbay, ME, USA
| | - Jean-Claude Twizere
- Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE; Laboratory of Viral Interactomes, GIGA Institute, University of Liege, Liege, Belgium
| | - David H Green
- Culture Collection of Algae and Protozoa, Scottish Association for Marine Science, Oban, Scotland, UK
| | - William C Ratcliff
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Kourosh Salehi-Ashtiani
- Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE; Center for Genomics and Systems Biology (CGSB), New York University Abu Dhabi, Abu Dhabi, UAE.
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Assis J, Alberto F, Macaya EC, Castilho Coelho N, Faugeron S, Pearson GA, Ladah L, Reed DC, Raimondi P, Mansilla A, Brickle P, Zuccarello GC, Serrão EA. Past climate-driven range shifts structuring intraspecific biodiversity levels of the giant kelp (Macrocystis pyrifera) at global scales. Sci Rep 2023; 13:12046. [PMID: 37491385 PMCID: PMC10368654 DOI: 10.1038/s41598-023-38944-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 07/17/2023] [Indexed: 07/27/2023] Open
Abstract
The paradigm of past climate-driven range shifts structuring the distribution of marine intraspecific biodiversity lacks replication in biological models exposed to comparable limiting conditions in independent regions. This may lead to confounding effects unlinked to climate drivers. We aim to fill in this gap by asking whether the global distribution of intraspecific biodiversity of giant kelp (Macrocystis pyrifera) is explained by past climate changes occurring across the two hemispheres. We compared the species' population genetic diversity and structure inferred with microsatellite markers, with range shifts and long-term refugial regions predicted with species distribution modelling (SDM) from the last glacial maximum (LGM) to the present. The broad antitropical distribution of Macrocystis pyrifera is composed by six significantly differentiated genetic groups, for which current genetic diversity levels match the expectations of past climate changes. Range shifts from the LGM to the present structured low latitude refugial regions where genetic relics with higher and unique diversity were found (particularly in the Channel Islands of California and in Peru), while post-glacial expansions following ~ 40% range contraction explained extensive regions with homogenous reduced diversity. The estimated effect of past climate-driven range shifts was comparable between hemispheres, largely demonstrating that the distribution of intraspecific marine biodiversity can be structured by comparable evolutionary forces across the global ocean. Additionally, the differentiation and endemicity of regional genetic groups, confers high conservation value to these localized intraspecific biodiversity hotspots of giant kelp forests.
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Affiliation(s)
- Jorge Assis
- CCMAR, CIMAR, Universidade do Algarve, Gambelas, Faro, Portugal.
- Faculty of Bioscience and Aquaculture, Nord Universitet, Bodø, Norway.
| | - Filipe Alberto
- Department of Biological Sciences, University of Wisconsin, Milwaukee, USA
| | - Erasmo C Macaya
- Centro Fondap IDEAL and Departamento de Oceanografía, Universidad de Concepción, Concepción, Chile
| | - Nelson Castilho Coelho
- CCMAR, CIMAR, Universidade do Algarve, Gambelas, Faro, Portugal
- University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - Sylvain Faugeron
- Núcleo Milenio MASH and IRL3614 Evolutionary Biology and Ecology of Algae, Facultad de Ciencias Biológicas, CNRS, Sorbonne Université, Universidad Austral de Chile, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | | | - Lydia Ladah
- Departamento de Oceanografía Biológica, Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, Baja California, Mexico
| | - Daniel C Reed
- Marine Science Institute, University of California Santa Barbara, Santa Barbara, USA
| | | | - Andrés Mansilla
- Cape Horn International Center (CHIC), Universidad de Magallanes, Punta Arenas, Chile
| | - Paul Brickle
- South Atlantic Environmental Research Institute, Stanley, Falkland Islands
| | - Giuseppe C Zuccarello
- School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand
| | - Ester A Serrão
- CCMAR, CIMAR, Universidade do Algarve, Gambelas, Faro, Portugal
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Song WH, Li JJ. The effects of intraspecific variation on forecasts of species range shifts under climate change. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159513. [PMID: 36257416 DOI: 10.1016/j.scitotenv.2022.159513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 10/12/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
As global climate change is altering the distribution range of macroalgae across the globe, it is critical to assess its impact on species range shifts to inform the biodiversity conservation of macroalgae. Latitude/environmental gradients could cause intraspecific variability, which may result in distinct responses to climate change. It remains unclear whether geographical variation occurs in the response of species' populations to climate change. We tested this assumption using the brown alga Sargassum thunbergii, a habitat-forming macroalgae encompassing multiple divergent lineages along the Northwest Pacific. Previous studies revealed a distinct lineage of S. thunbergii in rear-edge populations. Given the phylogeographic structure and temperature gradients, we divided these populations into the southern and northern groups. We assessed the physiological responses of the two groups to temperature changes and estimated their niche differences using n-dimensional hypervolumes. A higher photosynthetic rate and antioxidative abilities were detected in the southern group of S. thunbergii than in the northern group. In addition, significant niche differentiation was detected between the two groups, suggesting the possibility for local adaptation. Given these results, we inferred that the southern group (rear-edge populations) may be more resilient to climate change. To examine climate-driven range shifts of S. thunbergii, we constructed species- and lineage-level species distribution models (SDMs). Predictions of both levels showed considerable distribution contracts along the Chinese coasts in the future. For the southern group, the lineage-level model predicted less habitat loss than the species-level model. Our results highlight the importance of considering intraspecific variation in climate change vulnerability assessments for coastal species.
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Affiliation(s)
- Wang-Hui Song
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization, College of Oceanography, Hohai University, Nanjing 210024, China
| | - Jing-Jing Li
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization, College of Oceanography, Hohai University, Nanjing 210024, China.
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Du Y, Zhang J, Jueterbock A, Duan D. Prediction of the dynamic distribution for Eucheuma denticulatum (Rhodophyta, Solieriaceae) under climate change in the Indo-Pacific Ocean. MARINE ENVIRONMENTAL RESEARCH 2022; 180:105730. [PMID: 36027864 DOI: 10.1016/j.marenvres.2022.105730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/13/2022] [Accepted: 08/15/2022] [Indexed: 06/15/2023]
Abstract
Eucheuma is one of the most important commercial red seaweeds in Southeast Asia, and plays an important role in the global seaweed aquaculture. It is expected to exhibit great responses to ocean warming. Here, we used maximum entropy species distribution models (SDMs) to estimate the suitable habitat of Eucheuma denticulatum under present conditions, and to predict the future range dynamics under the four representative concentration pathway (RCP) scenarios. The best marine environmental factors for E. denticulatum distribution modeling were distance to shore, sea surface temperature and currents velocity. Our results showed that E. denticulatum' distributions would contract in the Central Indo-Pacific Ocean, especially the regions of the Sunda Shelf, while expanding poleward along the south coast of Australia in 2100. Our study provided important knowledge for the prediction of the tropical seaweed distribution, conservation and sustainable developments of E. denticulatum in the future.
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Affiliation(s)
- Yuqun Du
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jie Zhang
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266071, China
| | | | - Delin Duan
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266071, China.
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