K
Karine Louise dos Santos
Researcher at Universidade Federal de Santa Catarina
Publications - 32
Citations - 479
Karine Louise dos Santos is an academic researcher from Universidade Federal de Santa Catarina. The author has contributed to research in topics: Pineapple-guava & Acca. The author has an hindex of 9, co-authored 32 publications receiving 404 citations.
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Genome of Herbaspirillum seropedicae Strain SmR1, a Specialized Diazotrophic Endophyte of Tropical Grasses
Fábio O. Pedrosa,Rose A. Monteiro,Roseli Wassem,Leonardo M. Cruz,Ricardo Antonio Ayub,Nelson Barros Colauto,Maria Aparecida Fernandez,Maria Helena Pelegrinelli Fungaro,Edmundo C. Grisard,Mariangela Hungria,Humberto Maciel França Madeira,Rubens Onofre Nodari,Clarice Aoki Osaku,Maria Luiza Petzl-Erler,Hernán Terenzi,Luiz Gonzaga Esteves Vieira,Maria B. R. Steffens,Vinicius A. Weiss,Luiz Filipe Protasio Pereira,Marina Isabel Mateus de Almeida,Lysangela R. Alves,Anelis Marin,Luíza M. Araújo,Eduardo Balsanelli,Valter Antonio de Baura,Leda S. Chubatsu,Helisson Faoro,Augusto Favetti,Geraldo R. Friedermann,Chirlei Glienke,Susan Grace Karp,V. Kava-Cordeiro,Roberto Tadeu Raittz,Humberto J.O. Ramos,Enilze Maria de Souza Fonseca Ribeiro,Liu U. Rigo,Saul Nitsche Rocha,Stefan Schwab,Anilda G. Silva,Eliel M. Souza,Michelle Z. Tadra-Sfeir,Rodrigo A. Torres,Audrei Nisio Gebieluca Dabul,Maria Albertina Miranda de Soares,Luciano Seraphim Gasques,Ciela Carla Gimenes,Juliana Silveira do Valle,Ricardo Rodrigues Ciferri,Luiz Carlos Corrêa,Norma K. Murace,João Alencar Pamphile,Eliana Valéria Patussi,Alberto José Prioli,Sônia Maria Alves Pinto Prioli,Carmem Lúcia de Mello Sartori Cardoso da Rocha,Olivia Marcia Nagy Arantes,Márcia Cristina Furlaneto,Leandro P. Godoy,Carlos Eduardo Coral de Oliveira,Daniele Satori,Laurival Antonio Vilas-Boas,Maria Angelica Ehara Watanabe,Bibiana Paula Dambrós,Miguel Pedro Guerra,Sandra Marisa Mathioni,Karine Louise dos Santos,Mário Steindel,Javier Vernal,Fernando Gomes Barcellos,R. J. Campo,Ligia Maria Oliveira Chueire,Marisa Fabiana Nicolás,Lilian Pereira-Ferrari,José Luis da Conceição Silva,Nereida Mello da Rosa Gioppo,Vladimir Pavan Margarido,Maria Amélia Menck-Soares,Fabiana Gisele da Silva Pinto,Rita de Cássia Garcia Simão,Elizabete K. Takahashi,M. G. Yates,Emanuel Maltempi de Souza +81 more
TL;DR: The genome sequence revealed that H. seropedicae is a highly versatile microorganism with capacity to metabolize a wide range of carbon and nitrogen sources and with possession of four distinct terminal oxidases, suggesting a high potential to interact with host plants.
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Traditional Knowledge and Management of Feijoa (Acca sellowiana) in Southern Brazil
TL;DR: In this paper, the authors investigate traditional knowledge of the use and management of Acca sellowiana in southern Brazil and suggest that participatory research could stimulate greater local use as well as on-farm conservation of the species.
Journal ArticleDOI
Late-acting self-incompatibility in Acca sellowiana (Myrtaceae)
Taciane Finatto,Karine Louise dos Santos,Neusa Steiner,Leon Bizzocchi,Daniel Ferreira Holderbaum,Jean Pierre Henry Joseph Ducroquet,Miguel Pedro Guerra,Rubens Onofre Nodari +7 more
TL;DR: This study indicates late-acting self-incompatibility occurring through the rejection/abscission of self-pollinated flowers precisely after syngamy and zygote formation in A. sellowiana.
Journal ArticleDOI
Transference of microsatellite markers from Eucalyptus spp to Acca sellowiana and the successful use of this technique in genetic characterization
Karine Louise dos Santos,Leocir José Welter,Adriana Cibele de Mesquita Dantas,Miguel Pedro Guerra,Jean Pierre Henri Joseph Ducroquet,Rubens Onofre Nodari +5 more
TL;DR: The conservation of repeated sequences among related species permit the transferability of microsatellite markers from Eucalyptusspp to A. sellowiana, and the extent of genetic variability among plant accessions is evaluated.
Journal ArticleDOI
Present and future of the critically endangered Araucaria angustifolia due to climate change and habitat loss
TL;DR: In this paper, the authors used a machine learning technique to understand how land use and climate change might affect the distribution of A. angustifolia, and to evaluate the effectiveness of existing protected areas (PAs) to conserve this species.