Cooperative Ecosystem Studies Unit, Chesapeake Watershed CESU
Sector: Government • Location: United States of America
Source: Grants.gov
US Geological Survey is offering a funding opportunity to a CESU partner for a project titled: â¿¿Molecular methods for distinguishing closely related and morphologically similar bee speciesâ¿.
Identification of bees using morphological characteristics can be problematic for certain species due to misinterpretation of descriptions and/or the presence of large phenotypic differences within a spec
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Phone | 0000000000 |
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | US Geological Survey is offering a funding opportunity to a CESU partner for a project titled: â¿¿Molecular methods for distinguishing closely related and morphologically similar bee speciesâ¿. Identification of bees using morphological characteristics can be problematic for certain species due to misinterpretation of descriptions and/or the presence of large phenotypic differences within a species. Males and females of all bee species are strongly differentiated morphologically, so much so that identification keys are separate for each sex. Commonly, species descriptions are based on one only a few characteristics and, at times, separation of closely allied species is morphological difficult to impossible for one sex. Underlying this apparent morphological issue is the twin problem that descriptions that separate species may be based not on separating true species but the separation of phenotypical variants of the same species. To overcome these limitations, DNA-based methods (barcoding) using the cytochrome c oxidase subunit 1 (COI) of mitochondrial DNA and other loci have been developed to aid species identification and discovery. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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