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Gu T, Hu J, Yu L. Evolution and conservation genetics of pangolins. Integr Zool 2024; 19:426-441. [PMID: 38146613 DOI: 10.1111/1749-4877.12796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
Abstract
Pangolins (Pholidota, Manidae) are classified as an evolutionarily distinct and globally endangered mammal due to their unique morphology (nail-like scales and a myrmecophagous diet) and being the victim of heavy poaching and worldwide trafficking. As such, pangolins serve as a textbook example for studying the special phenotypic evolutionary adaptations and conservation genetics of an endangered species. Recent years have demonstrated significant advancements in the fields of molecular genetics and genomics, which have translated to a series of important research achievements and breakthroughs concerning the evolution and conservation genetics of pangolins. This review comprehensively presents the hitherto advances in phylogeny, adaptive evolution, conservation genetics, and conservation genomics that are related to pangolins, which will provide an ample understanding of their diversity, molecular adaptation mechanisms, and evolutionary potentials. In addition, we highlight the priority of investigating species/population diversity among pangolins and suggest several avenues of research that are highly relevant for future pangolin conservation.
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Affiliation(s)
- Tongtong Gu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Jingyang Hu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
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2
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Schmidt TL, Thia JA, Hoffmann AA. How Can Genomics Help or Hinder Wildlife Conservation? Annu Rev Anim Biosci 2024; 12:45-68. [PMID: 37788416 DOI: 10.1146/annurev-animal-021022-051810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Genomic data are becoming increasingly affordable and easy to collect, and new tools for their analysis are appearing rapidly. Conservation biologists are interested in using this information to assist in management and planning but are typically limited financially and by the lack of genomic resources available for non-model taxa. It is therefore important to be aware of the pitfalls as well as the benefits of applying genomic approaches. Here, we highlight recent methods aimed at standardizing population assessments of genetic variation, inbreeding, and forms of genetic load and methods that help identify past and ongoing patterns of genetic interchange between populations, including those subjected to recent disturbance. We emphasize challenges in applying some of these methods and the need for adequate bioinformatic support. We also consider the promises and challenges of applying genomic approaches to understand adaptive changes in natural populations to predict their future adaptive capacity.
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Affiliation(s)
- Thomas L Schmidt
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
| | - Joshua A Thia
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
| | - Ary A Hoffmann
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
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Shi M, Chen F, Sahu SK, Wang Q, Yang S, Wang Z, Chen J, Liu H, Hou Z, Fang SG, Lan T. Haplotype-resolved chromosome-scale genomes of the Asian and African Savannah Elephants. Sci Data 2024; 11:63. [PMID: 38212399 PMCID: PMC10784532 DOI: 10.1038/s41597-023-02729-4] [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: 07/10/2023] [Accepted: 11/07/2023] [Indexed: 01/13/2024] Open
Abstract
The Proboscidea, which includes modern elephants, were once the largest terrestrial animals among extant species. They suffered mass extinction during the Ice Age. As a unique branch on the evolutionary tree, the Proboscidea are of great significance for the study of living animals. In this study, we generate chromosome-scale and haplotype-resolved genome assemblies for two extant Proboscidea species (Asian Elephant, Elephas maximus and African Savannah Elephant, Loxodonta africana) using Pacbio, Hi-C, and DNBSEQ technologies. The assembled genome sizes of the Asian and African Savannah Elephant are 3.38 Gb and 3.31 Gb, with scaffold N50 values of 130 Mb and 122 Mb, respectively. Using Hi-C technology ~97% of the scaffolds are anchored to 29 pseudochromosomes. Additionally, we identify ~9 Mb Y-linked sequences for each species. The high-quality genome assemblies in this study provide a valuable resource for future research on ecology, evolution, biology and conservation of Proboscidea species.
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Affiliation(s)
- Minhui Shi
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150040, China
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fei Chen
- Southwest Survey and Planning Institute of National Forestry and Grassland Administration, Kunming, 650031, China
- Asian Elephant Research Center of National Forestry and Grassland Administration, Kunming, 650031, China
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Qing Wang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Shangchen Yang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Zhihong Wang
- Southwest Survey and Planning Institute of National Forestry and Grassland Administration, Kunming, 650031, China
- Asian Elephant Research Center of National Forestry and Grassland Administration, Kunming, 650031, China
| | - Jin Chen
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
- China National GeneBank, BGI Research, Shenzhen, 518083, China
| | - Huan Liu
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150040, China
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Zhijun Hou
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, 150040, China
| | - Sheng-Guo Fang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
| | - Tianming Lan
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150040, China.
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China.
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, 150040, China.
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Freudiger A, Jovanovic VM, Huang Y, Snyder-Mackler N, Conrad DF, Miller B, Montague MJ, Westphal H, Stadler PF, Bley S, Horvath JE, Brent LJN, Platt ML, Ruiz-Lambides A, Tung J, Nowick K, Ringbauer H, Widdig A. Taking identity-by-descent analysis into the wild: Estimating realized relatedness in free-ranging macaques. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.09.574911. [PMID: 38260273 PMCID: PMC10802400 DOI: 10.1101/2024.01.09.574911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Biological relatedness is a key consideration in studies of behavior, population structure, and trait evolution. Except for parent-offspring dyads, pedigrees capture relatedness imperfectly. The number and length of DNA segments that are identical-by-descent (IBD) yield the most precise estimates of relatedness. Here, we leverage novel methods for estimating locus-specific IBD from low coverage whole genome resequencing data to demonstrate the feasibility and value of resolving fine-scaled gradients of relatedness in free-living animals. Using primarily 4-6× coverage data from a rhesus macaque (Macaca mulatta) population with available long-term pedigree data, we show that we can call the number and length of IBD segments across the genome with high accuracy even at 0.5× coverage. The resulting estimates demonstrate substantial variation in genetic relatedness within kin classes, leading to overlapping distributions between kin classes. They identify cryptic genetic relatives that are not represented in the pedigree and reveal elevated recombination rates in females relative to males, which allows us to discriminate maternal and paternal kin using genotype data alone. Our findings represent a breakthrough in the ability to understand the predictors and consequences of genetic relatedness in natural populations, contributing to our understanding of a fundamental component of population structure in the wild.
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Affiliation(s)
- Annika Freudiger
- Behavioral Ecology Research Group, Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Vladimir M Jovanovic
- Human Biology and Primate Evolution, Institut für Zoologie, Freie Universität Berlin, Berlin, Germany
- Bioinformatics Solution Center, Freie Universität Berlin, Berlin, Germany
| | - Yilei Huang
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Bioinformatics Group, Institute of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany
| | - Noah Snyder-Mackler
- Center for Evolution & Medicine, School of Life Sciences, Arizona State University, Tempe, USA
| | - Donald F Conrad
- Division of Genetics, Oregon National Primate Research Center, Portland, Oregon, USA
| | - Brian Miller
- Division of Genetics, Oregon National Primate Research Center, Portland, Oregon, USA
| | - Michael J Montague
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hendrikje Westphal
- Behavioral Ecology Research Group, Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Bioinformatics Group, Institute of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany
| | - Peter F Stadler
- Bioinformatics Group, Institute of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany
- Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
- Institute for Theoretical Chemistry, University of Vienna, Austria
- Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá, Colombia
- Santa Fe Institute, Santa Fe, NM, USA
| | - Stefanie Bley
- Behavioral Ecology Research Group, Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Julie E Horvath
- Department of Biological and Biomedical Sciences, North Carolina Central University, North Carolina, Durham, USA
- Research and Collections Section, North Carolina Museum of Natural Sciences, North Carolina, Raleigh, USA
- Department of Biological Sciences, North Carolina State University, North Carolina, Raleigh, USA
- Department of Evolutionary Anthropology, Duke University, North Carolina, Durham, USA
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Lauren J N Brent
- Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK
| | - Michael L Platt
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Marketing Department, the Wharton School of Business, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Angelina Ruiz-Lambides
- Cayo Santiago Field Station, Caribbean Primate Research Center, University of Puerto Rico, Punta Santiago, Puerto Rico
| | - Jenny Tung
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Evolutionary Anthropology, Duke University, North Carolina, Durham, USA
- Department of Biology, Duke University, Durham, North Carolina, USA
- Duke University Population Research Institute, Durham, North Carolina, USA
| | - Katja Nowick
- Human Biology and Primate Evolution, Institut für Zoologie, Freie Universität Berlin, Berlin, Germany
- Bioinformatics Solution Center, Freie Universität Berlin, Berlin, Germany
| | - Harald Ringbauer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Anja Widdig
- Behavioral Ecology Research Group, Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany
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Yan H, An F, Liu Q, Chi Q, Wang K, Xu X, Kuang Y, Zhang Z, Hua Y. Energy budgets of captive Chinese pangolins ( Manis pentadactyla). CONSERVATION PHYSIOLOGY 2023; 11:coad049. [PMID: 37457902 PMCID: PMC10348091 DOI: 10.1093/conphys/coad049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 05/10/2023] [Accepted: 07/02/2023] [Indexed: 07/18/2023]
Abstract
The Chinese pangolin is an endangered species, and ex situ conservation and captive rescue are important conservation measures. This requires reliable information on nutritional energy requirements and expenditure characteristics. However, we lack sufficient knowledge of their energy physiology to determine their energy requirements for maintenance and growth. An open-flow respirometry system was used to measure the resting metabolic rate (RMR) and the daily energy expenditure (DEE) of Chinese pangolins (Manis pentadactyla), and the dietary digestive energy was measured. The average RMR in Chinese pangolins was 3.23 ml O2 kg-1 min-1 at an ambient temperature (Ta) of 24.5-30°C, which was only 73.0% of the expected value based on body mass (BM). The average DEE values were 744.9 kJ day-1 in animals with BM >3 kg and 597.3 kJ day-1 in those with BM <3 kg, which were only 52.4% and 60.6% of the predicted values, respectively. The RMR and DEE levels of the Chinese pangolin were lower than those of similar-sized eutherian mammals and close to those of anteaters. These characteristics suggest that the Chinese pangolin has a low demand for energy in its diet. Although metabolic level data alone cannot be used to calculate the energy requirements of each Chinese pangolin, we believe they can provide a tangible reference for the relocation of Chinese pangolins. These results provide a scientific basis for future research on the physiology and ecology of endangered wildlife such as the Chinese pangolin.
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Affiliation(s)
| | - Fuyu An
- Guangdong Provincial Key Laboratory of Silviculture, Protection, and Utilization, Guangdong Academy of Forestry, 233 Guang Shan Yi Road, Tian He District, Guangzhou 510520, China
| | - Quansheng Liu
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, 105 Xingang West Road, Haizhu District, Guangzhou 510520, China
| | - Qingsheng Chi
- College of Biology and Agriculture, Zunyi Normal University, Ping'an Avenue, Xinpu New District, Zunyi 563006, China
| | - Kai Wang
- Guangdong Provincial Key Laboratory of Silviculture, Protection, and Utilization, Guangdong Academy of Forestry, 233 Guang Shan Yi Road, Tian He District, Guangzhou 510520, China
| | - Xuelin Xu
- Guangdong Provincial Key Laboratory of Silviculture, Protection, and Utilization, Guangdong Academy of Forestry, 233 Guang Shan Yi Road, Tian He District, Guangzhou 510520, China
| | - Yingjie Kuang
- Guangdong Provincial Key Laboratory of Silviculture, Protection, and Utilization, Guangdong Academy of Forestry, 233 Guang Shan Yi Road, Tian He District, Guangzhou 510520, China
| | - Zhidong Zhang
- Guangdong Provincial Key Laboratory of Silviculture, Protection, and Utilization, Guangdong Academy of Forestry, 233 Guang Shan Yi Road, Tian He District, Guangzhou 510520, China
| | - Yan Hua
- Guangdong Provincial Key Laboratory of Silviculture, Protection, and Utilization, Guangdong Academy of Forestry, 233 Guang Shan Yi Road, Tian He District, Guangzhou 510520, China
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6
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Xiao J, Tsim KWK, Hajisamae S, Wang WX. Chromosome-level genome and population genomics provide novel insights into adaptive divergence in allopatric Eleutheronema tetradactylum. Int J Biol Macromol 2023:125299. [PMID: 37315663 DOI: 10.1016/j.ijbiomac.2023.125299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/24/2023] [Accepted: 06/03/2023] [Indexed: 06/16/2023]
Abstract
Understanding the adaptive ecological divergence provides important information for revealing biodiversity generation and maintenance. Adaptive ecology divergence in populations occurs in various environments and locations, but its genetic underpinnings remain elusive. We generated a chromosome-level genome of Eleutheronema tetradactylum (~582 Mb) and re-sequenced 50 allopatric E. tetradactylum in two independent environmental axes in China and Thailand Coastal waters as well as 11 cultured relatives. A low level of whole genome-wide diversity explained their decreased adaptive potential in the wild environment. Demographic analysis showed evidence of historically high abundance followed by a continuous distinct decline, plus signs of recent inbreeding and accumulation of deleterious mutations. Extensive signals of selective sweeps with signs of local adaptation to environmental differentiation between China and Thailand at genes related to thermal and salinity adaptation were discovered, which might be the driving factors of the geographical divergence of E. tetradactylum. Many genes and pathways subjected to strong selection under artificial breeding were associated with fatty acids and immunity (ELOVL6L, MAPK, p53/NF-kB), likely contributing to the eventual adaptation of artificial selective breeding. Our comprehensive study provided crucial genetic information for E. tetradactylum, with implications for the further conservation efforts of this threatened and ecologically valuable fish.
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Affiliation(s)
- Jie Xiao
- School of Energy and Environment and State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong
| | - Karl W K Tsim
- Division of Life Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
| | - Sukree Hajisamae
- Faculty of Science and Technology, Prince of Songkla University, Pattani 94000, Thailand
| | - Wen-Xiong Wang
- School of Energy and Environment and State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong.
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Pinto B, Valente R, Caramelo F, Ruivo R, Castro LFC. Decay of Skin-Specific Gene Modules in Pangolins. J Mol Evol 2023:10.1007/s00239-023-10118-z. [PMID: 37249590 DOI: 10.1007/s00239-023-10118-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/10/2023] [Indexed: 05/31/2023]
Abstract
The mammalian skin exhibits a rich spectrum of evolutionary adaptations. The pilosebaceous unit, composed of the hair shaft, follicle, and the sebaceous gland, is the most striking synapomorphy. The evolutionary diversification of mammals across different ecological niches was paralleled by the appearance of an ample variety of skin modifications. Pangolins, order Pholidota, exhibit keratin-derived scales, one of the most iconic skin appendages. This formidable armor is intended to serve as a deterrent against predators. Surprisingly, while pangolins have hair on their abdomens, the occurrence of sebaceous and sweat glands is contentious. Here, we explore various molecular modules of skin physiology in four pangolin genomes, including that of sebum production. We show that genes driving wax monoester formation, Awat1/2, show patterns of inactivation in the stem pangolin branch, while the triacylglycerol synthesis gene Dgat2l6 seems independently eroded in the African and Asian clades. In contrast, Elovl3 implicated in the formation of specific neutral lipids required for skin barrier function is intact and expressed in the pangolin skin. An extended comparative analysis shows that genes involved in skin pathogen defense and structural integrity of keratinocyte layers also show inactivating mutations: associated with both ancestral and independent pseudogenization events. Finally, we deduce that the suggested absence of sweat glands is not paralleled by the inactivation of the ATP-binding cassette transporter Abcc11, as previously described in Cetacea. Our findings reveal the sophisticated and complex history of gene retention and loss as key mechanisms in the evolution of the highly modified mammalian skin phenotypes.
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Affiliation(s)
- Bernardo Pinto
- CIMAR/CIIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Avenida General Norton de Matos, S/N, 4450-208, Matosinhos, Portugal
- Department of Biology, Faculty of Sciences, University of Porto (U. Porto), Rua Do Campo Alegre S/N, 4169-007, Porto, Portugal
| | - Raul Valente
- CIMAR/CIIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Avenida General Norton de Matos, S/N, 4450-208, Matosinhos, Portugal
- Department of Biology, Faculty of Sciences, University of Porto (U. Porto), Rua Do Campo Alegre S/N, 4169-007, Porto, Portugal
| | - Filipe Caramelo
- CIMAR/CIIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Avenida General Norton de Matos, S/N, 4450-208, Matosinhos, Portugal
- Department of Biology, Faculty of Sciences, University of Porto (U. Porto), Rua Do Campo Alegre S/N, 4169-007, Porto, Portugal
| | - Raquel Ruivo
- CIMAR/CIIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Avenida General Norton de Matos, S/N, 4450-208, Matosinhos, Portugal.
| | - L Filipe C Castro
- CIMAR/CIIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Avenida General Norton de Matos, S/N, 4450-208, Matosinhos, Portugal.
- Department of Biology, Faculty of Sciences, University of Porto (U. Porto), Rua Do Campo Alegre S/N, 4169-007, Porto, Portugal.
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