Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Adriana E. Larrea-Sarmiento"'
Autor:
Adriana E. Larrea-Sarmiento, Alejandro Olmedo-Velarde, Xupeng Wang, Wayne Borth, Ryan Domingo, Tracie K. Matsumoto, Jon Y. Suzuki, Marisa M. Wall, Michael J. Melzer, John Hu
Publikováno v:
Pathogens, Vol 11, Iss 12, p 1470 (2022)
Pineapple (Ananas comosus L. [Merr.]) accessions from the U.S. Tropical Plant Genetic Resources and Disease Research (TPGRDR) in Hilo, Hawaii were subjected to RNA-sequencing to study the occurrence of viral populations associated with this vegetativ
Externí odkaz:
https://doaj.org/article/7e181018046f48a89ba84f551ba9d6b0
Autor:
Xupeng Wang, Adriana E. Larrea-Sarmiento, Alejandro Olmedo-Velarde, Alexandra Kong, Wayne Borth, Jon Y Suzuki, Marisa M Wall, Michael J Melzer, John Hu
Publikováno v:
Viruses, Vol 15, Iss 1, p 90 (2022)
Hibiscus (Hibiscus spp., family Malvaceae) leaves exhibiting symptoms of mosaic, ringspot, and chlorotic spots were collected in 2020 on Oahu, HI. High-throughput sequencing analysis was conducted on ribosomal RNA-depleted composite RNA samples extra
Externí odkaz:
https://doaj.org/article/4cf12c23658f4257b40c34e092233eeb
Autor:
Alejandro Olmedo-Velarde, Francisco M. Ochoa-Corona, Adriana E. Larrea-Sarmiento, Toufic Elbeaino, Francisco Flores
Publikováno v:
PLOS ONE. 18:e0272980
Twenty-four species of RNA viruses contain members infecting economically important crops that are classified within the genus Emaravirus, family Fimoviridae. There are at least two other non-classified species that may be added. Some of these viruse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::769e518ff9e9cfc831b92b5c56d6a75a
https://doi.org/10.1371/journal.pone.0272980
https://doi.org/10.1371/journal.pone.0272980
Autor:
Alejandro Olmedo-Velarde, Francisco M. Ochoa-Corona, Adriana E. Larrea-Sarmiento, Toufic Elbeaino, Francisco Flores
Publikováno v:
Journal of Virological Methods. :114425
High-resolution melting (HRM) has shown to be reliable for the detection, discrimination, and diagnosis of several diseases of plants, animals, and humans. The aim of this research was to explore the ability to predict HRM outputs when coupled to rev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdd7bb367082e683ca37b8ba77ef761b
https://doi.org/10.1016/j.jviromet.2021.114425
https://doi.org/10.1016/j.jviromet.2021.114425