scispace - formally typeset
K

Keiichi Sato

Researcher at Hokkaido University

Publications -  45
Citations -  1469

Keiichi Sato is an academic researcher from Hokkaido University. The author has contributed to research in topics: Whale shark & Biology. The author has an hindex of 12, co-authored 38 publications receiving 960 citations.

Papers
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

Shark genomes provide insights into elasmobranch evolution and the origin of vertebrates

TL;DR: A thorough genome annotation revealed Hox C genes previously hypothesized to have been lost, as well as distinct gene repertories of opsins and olfactory receptors that would be associated with adaptation to unique underwater niches, and provided insights on the molecular basis of adaptation to underwater lifestyle and the evolutionary origins of vertebrates.
Journal ArticleDOI

Environmental DNA enables detection of terrestrial mammals from forest pond water

TL;DR: The results presented here show that the eDNA metabarcoding approach is also promising even for forest mammal biodiversity surveys, and suggests that MiMammal primers are capable of amplifying and distinguishing a diverse group of mammalian species.
Journal ArticleDOI

Use of a Filter Cartridge for Filtration of Water Samples and Extraction of Environmental DNA.

TL;DR: A protocol for filtration of water samples using the filter cartridge and extraction of eDNA from the filter without having to cut open the housing is provided.
Journal ArticleDOI

Evaluation of detection probabilities at the water-filtering and initial PCR steps in environmental DNA metabarcoding using a multispecies site occupancy model

TL;DR: It is illustrated how the error rates in the eDNA metabarcoding-based species detection can be accounted for by applying the multispecies occupancy modelling framework to study the optimum conditions for molecular experiments.