Rapid and accurate species identification for ecological studies and monitoring using CRISPR‐based SHERLOCK-Reference-Cited by-同舟云学术

Rapid and accurate species identification for ecological studies and monitoring using CRISPR‐based SHERLOCK

Published:2020-06-13 Issue:4 Volume:20 Page:961-970
ISSN:1755-098X
Container-title:Molecular Ecology Resources
language:en
Short-container-title:Mol Ecol Resour

Author:

Baerwald Melinda R.¹^ORCID,Goodbla Alisha M.²,Nagarajan Raman P.²,Gootenberg Jonathan S.³⁴⁵⁶⁷,Abudayyeh Omar O.³⁴⁵⁶⁸,Zhang Feng³⁴⁵⁶,Schreier Andrea D.²^ORCID

Affiliation:

1. California Department of Water Resources Sacramento CA USA

2. Department of Animal Science University of California Davis Davis CA USA

3. Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard Cambridge MA USA

4. McGovern Institute for Brain Research MIT Cambridge MA USA

5. Department of Brain and Cognitive Science MIT Cambridge MA USA

6. Department of Biological Engineering MIT Cambridge MA USA

7. Department of Systems Biology Harvard University Boston MA USA

8. Department of Health Sciences and Technology MIT Cambridge MA USA

Funder

Department of Water Resources

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1755-0998.13186

Reference29 articles.

1. Nucleic Acid Detection of Plant Genes Using CRISPR-Cas13

2. TaqMan assays for the genetic identification of delta smelt (Hypomesus transpacificus) and wakasagi smelt (Hypomesus nipponensis)

3. Use of single nucleotide polymorphisms identifies backcrossing and species misidentifications among three San Francisco estuary osmerids

4. Ten real-time PCR assays for detection of fish predation at the community level in the San Francisco Estuary-Delta

5. CDFW (California Department of Fish and Wildlife)(2019).State and federally listed endangered and threatened animals of California. Retrieved fromhttps://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=109405&inline.

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