A DNA microarray assay for authenticating five important marine mammal species in food and feed

2021 ◽  
Vol 348 ◽  
pp. 129136
Author(s):  
Haixia Huan ◽  
Ke Zhang ◽  
Jian He ◽  
Jinyou Zhang
Keyword(s):  
Dna Microarray ◽  
Marine Mammal ◽  
Mammal Species ◽  
Microarray Assay ◽  
Food And Feed

scholarly journals Publisher Correction: Deep neural networks for automated detection of marine mammal species

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yu Shiu ◽  
K. J. Palmer ◽  
Marie A. Roch ◽  
Erica Fleishman ◽  
Xiaobai Liu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Marine Mammal ◽  
Deep Neural Networks ◽  
Automated Detection ◽  
Mammal Species

Glider-Based Passive Acoustic Monitoring in the Arctic

2014 ◽  
Vol 48 (5) ◽  
pp. 40-51 ◽  
Author(s):  
Mark F. Baumgartner ◽  
Kathleen M. Stafford ◽  
Peter Winsor ◽  
Hank Statscewich ◽  
David M. Fratantoni
Keyword(s):  
Real Time ◽  
Marine Mammal ◽  
Low Frequency ◽  
Acoustic Monitoring ◽  
Bowhead Whale ◽  
The Arctic ◽  
Mammal Species ◽  
Frequency Detection ◽  
Passive Acoustic ◽  
The Impact

AbstractPersistently poor weather in the Arctic makes traditional marine mammal research from aircraft and ships difficult, yet collecting information on marine mammal distribution and habitat utilization is vital for understanding the impact of climate change on Arctic ecosystems. Moreover, as industrial use of the Arctic increases with the expansion of the open-water summer season, there is an urgent need to monitor the effects of noise from oil and gas exploration and commercial shipping on marine mammals. During September 2013, we deployed a single Slocum glider equipped with a digital acoustic monitoring (DMON) instrument to record and process in situ low-frequency (<5 kHz) audio to characterize marine mammal occurrence and habitat as well as ambient noise in the Chukchi Sea off the northwest coast of Alaska, USA. The DMON was programmed with the low-frequency detection and classification system (LFDCS) to autonomously detect and classify sounds of a variety of Arctic and sub-Arctic marine mammal species. The DMON/LFDCS reported regularly in near real time via Iridium satellite detailed detection data, summary classification information, and spectra of background noise. The spatial distributions of bowhead whale, bearded seal, and walrus call rates were correlated with surface salinity measured by the glider. Bowhead whale and walrus call rates were strongly associated with a warm and salty water mass of Bering Sea origin. With a passive acoustic capability that allows both archival recording and near real-time reporting, we envision ocean gliders will become a standard tool for marine mammal and ocean noise research and monitoring in the Arctic.

Transmission of morbilliviruses within and among marine mammal species

2018 ◽  
Vol 28 ◽  
pp. 133-141 ◽  
Author(s):  
Wendy K Jo ◽  
Albert DME Osterhaus ◽  
Martin Ludlow
Keyword(s):  
Marine Mammal ◽  
Mammal Species

Do bigger bodies require bigger radiators? Insights into thermal ecology from closely related marine mammal species and implications for ecogeographic rules

2020 ◽  
Vol 47 (5) ◽  
pp. 1193-1206
Author(s):  
Stephanie K. Adamczak ◽  
D. Ann Pabst ◽  
William A. McLellan ◽  
Lesley H. Thorne
Keyword(s):  
Marine Mammal ◽  
Thermal Ecology ◽  
Mammal Species

scholarly journals Collapse of a Marine Mammal Species Driven by Human Impacts

PLoS ONE ◽  
2012 ◽  
Vol 7 (9) ◽  
pp. e43130 ◽  
Author(s):  
Tero Harkonen ◽  
Karin C. Harding ◽  
Susan Wilson ◽  
Mirgaliy Baimukanov ◽  
Lilia Dmitrieva ◽  
...  
Keyword(s):  
Marine Mammal ◽  
Human Impacts ◽  
Mammal Species

Isolation and cross-species amplification of novel microsatellite loci in a charismatic marine mammal species, the northern elephant seal (Mirounga angustirostris)

2012 ◽  
Vol 5 (1) ◽  
pp. 93-96 ◽  
Author(s):  
Simona Sanvito ◽  
Alejandro Dueñes Meza ◽  
Yolanda Schramm ◽  
Pedro Cruz Hernández ◽  
Yareli Esquer Garrigos ◽  
...  
Keyword(s):  
Marine Mammal ◽  
Microsatellite Loci ◽  
Elephant Seal ◽  
Mirounga Angustirostris ◽  
Mammal Species ◽  
Northern Elephant Seal

scholarly journals Feasibility of melting fingerprint obtained from ISSR-HRM curves for marine mammal species identification

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11689
Author(s):  
Wannapimol Kriangwanich ◽  
Kittisak Buddhachat ◽  
Anocha Poommouang ◽  
Siriwadee Chomdej ◽  
Chatchote Thitaram ◽  
...  
Keyword(s):  
Success Rate ◽  
Species Identification ◽  
Marine Mammal ◽  
Marine Mammals ◽  
Intraspecific Variability ◽  
Issr Markers ◽  
Mammal Species ◽  
Hrm Analysis ◽  
New Approaches ◽  
High Degree

Currently, species identification of stranded marine mammals mostly relies on morphological features, which has inherent challenges. The use of genetic information for marine mammal species identification remains limited, therefore, new approaches that can contribute to a better monitoring of stranded species are needed. In that context, the ISSR-HRM method we have proposed offers a new approach for marine mammal species identification. Consequently, new approaches need to be developed to identify individuals at the species level. Eight primers of the ISSR markers were chosen for HRM analysis resulting in ranges of accuracy of 56.78–75.50% and 52.14–75.93% in terms of precision, while a degree of sensitivity of more than 80% was recorded when each single primer was used. The ISSR-HRM primer combinations revealed a success rate of 100% in terms of discrimination for all marine mammals included in this study. Furthermore, ISSR-HRM analysis was successfully employed in determining marine mammal discrimination among varying marine mammal species. Thus, ISSR-HRM analysis could serve as an effective alternative tool in the species identification process. This option would offer researchers a heightened level of convenience in terms of its performance and success rate. It would also offer field practice to veterinarians, biologists and other field-related people a greater degree of ease with which they could interpret results when effectively classifying stranded marine mammals. However, further studies with more samples and with a broader geographical scope will be required involving distinct populations to account for the high degree of intraspecific variability in cetaceans and to demonstrate the range of applications of this approach.

scholarly journals Development of a DNA microarray assay for rapid detection of fifteen bacterial pathogens in pneumonia

2020 ◽  
Author(s):  
Xiuqing Ma ◽  
Yanqin Li ◽  
Yuan Liang ◽  
Yang Liu ◽  
Ling Yu ◽  
...  
Keyword(s):  
Dna Microarray ◽  
Legionella Pneumophila ◽  
Burkholderia Cepacia ◽  
Pathogenic Bacteria ◽  
Chlamydia Pneumoniae ◽  
Bacterial Pathogens ◽  
Bacterial Species ◽  
Simultaneous Detection ◽  
Clinical Isolates ◽  
Microarray Assay

Abstract Background: The rapid identification of pathogenic bacteria is important for determining an appropriate antimicrobial therapy for pneumonia, but traditional bacterial culture is time-consuming and labourious. The aim of this study was to develop and evaluate a DNA microarray assay for the simultaneous detection of fifteen bacterial species directly from respiratory tract specimens in patients with pneumonia. These species included Streptococcus pneumoniae, Staphylococcus aureus, Haemophilus influenzae, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Mycoplasma pneumoniae, Enterococcus faecalis, Enterococcus faecium, Enterobacter cloacae, Stenotrophomonas maltophilia, Burkholderia cepacia, Legionella pneumophila and Chlamydia pneumoniae. The 16S rDNA genes and other specific genes of each pathogen were chosen as the amplification targets, amplified via multiplex polymerase chain reaction (PCR), and hybridized to oligonucleotide probes in a microarray.Results: The DNA microarray detection limit was 103 copies/μL. Nineteen standard strains and 119 clinical isolates were correctly detected with our microarray, and 3 nontarget species from 4 clinical isolates were not detected. Additionally, bacterial pathogens were accurately identified when two or three bacterial targets were mixed together. Furthermore, the results for 99.4% (156/157) of clinical specimens were the same as those from a conventional assay.Conclusions: We developed a DNA microarray that could simultaneously detect various bacterial pathogens in pneumonia. The method described here has the potential to provide considerable labour and time savings due to its ability to screen for 15 bacterial pathogens simultaneously.

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