Prosecution of bushmeat trade perpetrators depends on forensic evidence based on molecular barcode sequencing of species identification, a pipeline that has been established by the Consortium for the Barcode of Life (CBOL) Barcode of Wildlife Project (BWP) for endangered species. However, routine barcode sequencing for bushmeat surveillance and vector bloodmeal identification is costly and time-consuming. More efficient molecular identification of vertebrate species may not only enhance bushmeat surveillance, but also wildlife translocation decisions. We have optimized high resolution melting analysis (HRMA) of cytochrome b (cyt b) and 16S gene PCR products to identify diverse vertebrate hosts of insect bloodmeals. In our experience, HRMA of vertebrate hosts is rapid and up to 10 times cheaper than amplicon sequencing. We will extend this approach to the forensic (COI) DNA-barcoding region to accelerate the process of generating molecular evidence for suspected bushmeat samples. Prescreening of samples using HRMA will eliminate unnecessary sequencing of domestic meat products, thereby reducing costs and increasing the throughput of forensic evidence for bushmeat prosecution while informing wildlife translocation decisions based on vector-host dynamics and disease transmission risks. We will undertake extensive capacity-building activities to establish the use of HRMA protocols in wildlife service facilities in Kenya and Tanzania (KWS and TANAPA). CBOL data standards with forensic chain of custody and specimen and data handling will be maintained, from first respondent sample collection to DNA sequence evidence. Data outputs from this project will therefore be managed within BIOCODE Field and Lab Information Management Systems (LIMS/FIMS) in compliance with CBOL and BWP data pipelines. This will allow for efficient sharing of data and information within the research community and local wildlife implementation agencies to improve wildlife conservation outcomes, and further, to synergize our efforts with those of the CBOL-BWP to build publicly available, voucher-based sequence libraries with reference HRMA profiles.