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Tetsuya Sado

Researcher at American Museum of Natural History

Publications -  70
Citations -  4459

Tetsuya Sado is an academic researcher from American Museum of Natural History. The author has contributed to research in topics: Environmental DNA & Monophyly. The author has an hindex of 25, co-authored 63 publications receiving 3293 citations. Previous affiliations of Tetsuya Sado include Mie University.

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MiFish, a set of universal PCR primers for metabarcoding environmental DNA from fishes: detection of more than 230 subtropical marine species.

TL;DR: The metabarcoding approach presented here is non-invasive, more efficient, more cost-effective and more sensitive than the traditional survey methods and has the potential to serve as an alternative tool for biodiversity monitoring that revolutionizes natural resource management and ecological studies of fish communities on larger spatial and temporal scales.
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MitoFish and MitoAnnotator: A Mitochondrial Genome Database of Fish with an Accurate and Automatic Annotation Pipeline

TL;DR: MitoFish contains re-annotations of previously sequenced fish mitogenomes, enabling researchers to refer to them when they find annotations that are likely to be erroneous or while conducting comparative mitogenomic analyses.
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Mitogenomic evolution and interrelationships of the Cypriniformes (Actinopterygii: Ostariophysi): the first evidence toward resolution of higher-level relationships of the world's largest freshwater fish clade based on 59 whole mitogenome sequences.

TL;DR: The present study represents the first attempt toward resolution of the higher-level relationships of the world’s largest freshwater-fish clade based on whole mitochondrial genome sequences from 53 cypriniforms plus 6 outgroups, and it is advocated that RY-coding, which takes only transversions into account, effectively removes this likely “noise” from the data set and avoids the apparent lack of signal by retaining all available positions in the dataSet.
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Environmental DNA metabarcoding reveals local fish communities in a species-rich coastal sea

TL;DR: The ability of eDNA metabarcoding to reveal fish community structures in species-rich coastal waters by using high-performance fish-universal primers and systematic spatial water sampling at 47 stations covering ~11 km2 revealed the fish community structure at a species resolution.