scholarly journals Targeted Next Generation Sequencing of environmental DNA improves detection and quantification of invasive European green crab (Carcinus maenas)

2021 ◽  
Author(s):  
Kristen Marie Westfall ◽  
Thomas W. Therriault ◽  
Cathryn L. Abbott

AbstractIn the northeast Pacific Ocean there is high interest in developing eDNA-based survey methods to aid management of invasive populations of European green crab (Carcinus maenas). Expected benefits are improved sensitivity for early detection of secondary spread and quantification of abundances to assess the outcome of eradication efforts. A new eDNA-based approach we term ‘Targeted Next Generation Sequencing (tNGS)’ is introduced here and shown to improve detection relative to qPCR at low eDNA concentrations, as is characteristic of founding or spreading populations. tNGS is based on the premise that the number of NGS reads from non-normalized (i.e. equal volumes) targeted PCR amplicons will approximate the starting DNA amount. Standard DNA concentrations that were 10-to 100-times lower than the qPCR limit of detection returned significant numbers of sequencing reads, which in our field assessments translated to a 7% - 10% increase in crab detection probability from tNGS relative to qPCR at low abundances. We also found that eDNA concentration was highly correlated with crab abundance, as measured from traditional trapping methods, for both assays; however, tNGS data had greater precision and less error than qPCR. When partitioning the sources of variation in each assay we identified greater between-site variability for tNGS relative to qPCR, suggesting the former may offer more power for detecting spatial variation in eDNA concentration. When applying this assay in management programs, we suggest including a panel of eDNA samples from sites with trapping data as standards to estimate relative abundance at sites with no a priori information. Results presented here indicate the tNGS approach has great promise for surveillance of green crab and could easily be adopted for surveillance of any species of high interest to management, including endangered species, new incursions of invasive species, and species with low eDNA shedding rates. Pros and cons of this approach compared to qPCR are discussed.

2021 ◽  
Vol 4 ◽  
Author(s):  
Kristen Westfall ◽  
Thomas Therriault ◽  
Cathryn Abbott

Targeted species detection from eDNA is central to identifying and quantifying rare (i.e. invasive or endangered) species to inform conservation and resource management. Here we introduce a new targeted Next Generation Sequencing (tNGS) assay that shows improved detection relative to quantitative (q)PCR at low eDNA concentrations and increased precision to detect spatial variation in eDNA concentration related to species abundance. We compare the tNGS and qPCR methods using invasive European green crab (Carcinus maenas) in the northeast Pacific Ocean as a test case, and find that crab abundance measured by traditional trapping is significantly correlated with eDNA concentration across multiple sites for both methods. However, the tNGS assay outperformed qPCR in all tests: (1) increased precision of eDNA concentration estimation; (2) a 7-10% increase in detection probability at low abundance sites; and (3) greater power to detect spatial variation in eDNA concentration. The accuracy of predicting green crab abundance from eDNA concentration increased with the number of field replicates sampled and did not change appreciably over a tidal cycle. Green crab eDNA concentration behaving similarly to abundance measured from trapping demonstrates great promise for this tool to be implemented for early detection and routine monitoring surveys. The tNGS assay is easily accessible for surveying other species with existing qPCR assays and can thus be potentially important for detection and quantification of any species of high interest to management.


2017 ◽  
Vol 70 (12) ◽  
pp. 1069-1073 ◽  
Author(s):  
Isaac KS Ng ◽  
Christopher Ng ◽  
Jia Jin Low ◽  
Lily Chiu ◽  
Elaine Seah ◽  
...  

Targeted next generation sequencing platforms have been increasingly utilised for identification of novel mutations in myeloid neoplasms, such as acute myeloid leukaemia (AML), and hold great promise for use in routine clinical diagnostics. In this study, we evaluated the utility of an open source variant caller in detecting large indels in a targeted sequencing of AML samples. While we found that this bioinformatics pipeline has the potential to accurately capture large indels (>20 bp) in patient samples, we highlighted the pitfall of a confounding ZRSR1 pseudogene that led to an erroneous ZRSR2 variant call. We further discuss possible clinical implications of the ZRSR1 pseudogene in myeloid neoplasms based on its molecular features. Knowledge of the confounding ZRSR1 pseudogene in ZRSR2 sequencing assays could be particularly important in AML diagnostics because the detection of ZRSR2 in AML patients is highly specific for an s-AML diagnosis.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14213-e14213
Author(s):  
Elaine Wong-Ho

e14213 Background: Immunotherapies to treat malignancies have shown great promise, however, only a fraction of cancer patients respond to immunotherapy, making it imperative to identify biomarkers that predict response. Cancer-associated instabilities at microsatellite locations throughout the genome have been shown to be predictive of response to immunotherapy treatment. Here we determine the accuracy of determining the MSI status through targeted sequencing using Ion Torrent sequencing technology. Methods: We have identified optimal chemistry and developed a novel algorithm to assess MSI status of samples using a large number of markers on the Ion GeneStudio S5 Series sequencer. The diverse marker set includes monomers that vary in length between 10 BP and 40 BP in addition to di-and tri-nucleotide STR markers. Each sample is assigned an MSI score based on features that measure MSI response of markers in the assay. Results: We evaluated performance of the MSI markers in the context of a comprehensive targeted next generation sequencing assay with the MSI algorithm. A large set of FFPE tumor samples and MSI controls were evaluated. The resulting scores were in concordance with results from capillary electrophoresis studies. Conclusions: In summary, a next-generation sequencing based assay using multiple markers was developed to assign MSI status to FFPE tumor samples. The accuracy of the assay was validated using an orthogonal test. This allows us to use Ion Torrent sequencing technology to identify changes in complex repeat regions of the genome as part of a comprehensive genomic profiling approach.


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