Bárbara Medeiros Fonseca1, Paulo Eduardo Aguiar Saraiva Câmara2, Mayara Baptistucci Ogaki3, Otávio Henrique Bezerra Pinto4, Juan Manuel Lirio5, Silvia H Coria5, Rosemary Vieira6, Micheline Carvalho-Silva2, Eduardo Toledo Amorim7, Peter Convey8,9, Luiz Henrique Rosa3. 1. Independent Researcher, Brasília, DF, Brazil. barbara.fonseca0603@gmail.com. 2. Departamento de Botânica, Universidade de Brasília, Brasília, DF, Brazil. 3. Departamento de Microbiologia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. 4. Departamento de Biologia Celular, Universidade de Brasília, Brasília, DF, Brazil. 5. Instituto Antártico Argentino, Buenos Aires, Argentina. 6. Instituto de Geociências, Universidade Federal Fluminense, Niterói, RJ, Brazil. 7. CNCFLORA, Jardim Botânico do Rio de Janeiro, Rio de Janeiro, RJ, Brazil. 8. British Antarctic Survey, Cambridge, UK. 9. Department of Zoology, University of Johannesburg, Auckland Park, South Africa.
Abstract
BACKGROUND: Vega Island is located off the eastern tip of the Antarctic Peninsula (Maritime Antarctica), in the Weddell Sea. In this study, we used metabarcoding to investigate green algal DNA sequence diversity present in sediments from three lakes on Vega Island (Esmeralda, Copépodo, and Pan Negro Lakes). METHODS AND RESULTS: Total DNA was extracted and the internal transcribed spacer 2 region of the nuclear ribosomal DNA was used as a DNA barcode for molecular identification. Green algae were represented by sequences representing 78 taxa belonging to Phylum Chlorophyta, of which 32% have not previously been recorded from Antarctica. Sediment from Pan Negro Lake generated the highest number of DNA reads (11,205), followed by Esmeralda (9085) and Copépodo (1595) Lakes. Esmeralda Lake was the richest in terms of number of taxa (59), with Copépodo and Pan Negro Lakes having 30 taxa each. Bray-Curtis dissimilarity among lakes was high (~ 0.80). The Order Chlamydomonadales (Chlorophyceae) gave the highest contribution in terms of numbers of taxa and DNA reads in all lakes. The most abundant taxon was Chlorococcum microstigmatum. CONCLUSIONS: The study confirms the utility of DNA metabarcoding in assessing potential green algal diversity in Antarctic lakes, generating new Antarctic records.
BACKGROUND: Vega Island is located off the eastern tip of the Antarctic Peninsula (Maritime Antarctica), in the Weddell Sea. In this study, we used metabarcoding to investigate green algal DNA sequence diversity present in sediments from three lakes on Vega Island (Esmeralda, Copépodo, and Pan Negro Lakes). METHODS AND RESULTS: Total DNA was extracted and the internal transcribed spacer 2 region of the nuclear ribosomal DNA was used as a DNA barcode for molecular identification. Green algae were represented by sequences representing 78 taxa belonging to Phylum Chlorophyta, of which 32% have not previously been recorded from Antarctica. Sediment from Pan Negro Lake generated the highest number of DNA reads (11,205), followed by Esmeralda (9085) and Copépodo (1595) Lakes. Esmeralda Lake was the richest in terms of number of taxa (59), with Copépodo and Pan Negro Lakes having 30 taxa each. Bray-Curtis dissimilarity among lakes was high (~ 0.80). The Order Chlamydomonadales (Chlorophyceae) gave the highest contribution in terms of numbers of taxa and DNA reads in all lakes. The most abundant taxon was Chlorococcum microstigmatum. CONCLUSIONS: The study confirms the utility of DNA metabarcoding in assessing potential green algal diversity in Antarctic lakes, generating new Antarctic records.
Authors: Mayara Baptistucci Ogaki; Paulo Eduardo Aguiar Saraiva Câmara; Otávio Henrique Bezerra Pinto; Juan Manuel Lirio; Silvia H Coria; Rosemary Vieira; Micheline Carvalho-Silva; Peter Convey; Carlos Augusto Rosa; Luiz Henrique Rosa Journal: Extremophiles Date: 2021-04-10 Impact factor: 2.395
Authors: Paulo Eduardo Aguiar Saraiva Câmara; Micheline Carvalho-Silva; Otávio H B Pinto; Eduardo T Amorim; Diego Knop Henriques; Thamar Holanda da Silva; Franciane Pellizzari; Peter Convey; Luiz Henrique Rosa Journal: Microb Ecol Date: 2020-08-28 Impact factor: 4.552
Authors: Sámed I I A Hadi; Hugo Santana; Patrícia P M Brunale; Taísa G Gomes; Márcia D Oliveira; Alexandre Matthiensen; Marcos E C Oliveira; Flávia C P Silva; Bruno S A F Brasil Journal: PLoS One Date: 2016-02-22 Impact factor: 3.240
Authors: Matthew P Davey; Louisa Norman; Peter Sterk; Maria Huete-Ortega; Freddy Bunbury; Bradford Kin Wai Loh; Sian Stockton; Lloyd S Peck; Peter Convey; Kevin K Newsham; Alison G Smith Journal: New Phytol Date: 2019-02-27 Impact factor: 10.151
Authors: Isaac Garrido-Benavent; Sergio Pérez-Ortega; Jorge Durán; Carmen Ascaso; Stephen B Pointing; Ricardo Rodríguez-Cielos; Francisco Navarro; Asunción de Los Ríos Journal: Front Microbiol Date: 2020-02-07 Impact factor: 5.640
Authors: Erwan Beauchamp; Megan C Yap; Aishwarya Iyer; Maneka A Perinpanayagam; Jay M Gamma; Krista M Vincent; Manikandan Lakshmanan; Anandhkumar Raju; Vinay Tergaonkar; Soo Yong Tan; Soon Thye Lim; Wei-Feng Dong; Lynne M Postovit; Kevin D Read; David W Gray; Paul G Wyatt; John R Mackey; Luc G Berthiaume Journal: Nat Commun Date: 2020-10-22 Impact factor: 14.919