Abstract
Collection of biological samples for DNA is necessary in a variety of disciplines including disease epidemiology, landscape genetics, and forensics. Quantity and quality of DNA varies depending on the method of collection or media available for collection (e.g., blood, tissue, fecal). Blood is the most common sample collected in vials or on Whatman Flinders Technology Associates (FTA) cards with short- and long-term storage providing adequate DNA for study objectives. The focus of this study was to determine if biological samples stored on Whatman FTA Elute cards were a reasonable alternative to traditional DNA sample collection, storage, and extraction. Tissue, nasal swabs, and ocular fluid were collected from white-tailed deer (Odocoileus virginianus). Tissue samples and nasal swabs acted as a control to compare extraction and DNA suitability for microsatellite analysis for nasal swabs and ocular fluid extracted from FTA Elute cards. We determined that FTA Elute cards improved the extraction time and storage of samples and that nasal swabs and ocular fluid containing pigmented fluid were reasonable alternatives to traditional tissue DNA extractions.
Subject terms: Ecological epidemiology, DNA sequencing
Introduction
Genetic testing and monitoring have become common components of wildlife research. Genetic techniques, such as next-generation DNA sequencing1, DNA barcoding1,2, and genetic fingerprinting3,4, and quantitative polymerase chain reaction (qPCR)5 are now being applied to the study of non-model organisms. These analyses provide important information regarding phylogenetic history6,7, genetic structure8,9, risk of disease10, and viability of wildlife populations11,12. These analyses are also used for forensic studies and can aid law enforcement efforts2,13,14.
The success of genetic studies is dependent upon genetic sampling which involves capture and extraction of mitochondrial or nuclear DNA from cells of the target organism15. Various quantities of DNA can be isolated from a large array of potential sources including connective and integumentary tissues, blood, hair, feathers, feces, saliva, urine and bone16. Freezing, drying and the use of additives help to prevent cellular breakdown and preserve genetic samples until DNA extraction can be performed16. Many high-quality samples, such as tissue and blood, require immediate freezing or preservatives to minimize damage to DNA, which can add challenges for field collection16. Determining the most appropriate source of DNA to collect depends on the field conditions, availability of sample types, shipping and storage requirements, and the research objectives.
White-tailed deer (Odocoileus virginianus) are a widely studied and managed species due to their popularity amongst hunters and their role in shaping community structure and diversity of ecosystems where they occur17. Concerns such as the spread of chronic wasting disease documents a continued need for genomic research of white-tailed deer18. Wildlife researchers and managers commonly retrieve tissue samples from deer collected through roadkill, hunter harvest and tagging efforts8,19. Blood is another commonly obtained sample20,21, and some research has utilized deer feces for genotyping studies22,23. Although samples are readily available from a variety of sources, DNA degradation, long-term storage, contamination, and transportation of samples continue to be potential challenges to genotyping efforts. Traditional methods for blood and tissue collection have disadvantages, such as the training needed to extract blood and the need for anticoagulants/reagents for storing and shipping samples. Other issues arise when the most practical sampling, due to cost and availability, relies on cooperation with another research project, such as tagging or disease surveillance, where DNA sampling may not be the primary concern of technicians. In some of these instance’s samples are collected in large quantities and grouped together and contamination from other specimens is a possibility to outer surfaces.
An alternative for DNA collection and storage that circumvents many challenges is the Whatman Flinders Technology Associates® Card (hereby referred to as FTA cards; QIAGEN, Valencia, CA, USA). These FTA cards are filter paper infused with reagents that lyse cells and denature protein, in addition to protecting DNA from UV radiation, nucleases, oxidation and microbial or fungal damage24. FTA cards are designed for compact storage of DNA samples at ambient temperature, which may be particularly beneficial for field-based research25. Another advantage is that they can be shipped in standard mail, since they need no additional reagents and are stable at room temperature, they require no special transport formats24. FTA cards have been used in a large variety of studies including: SNP genotyping in angus bulls where blood and nasal swabs were compared26, cancer screening in humans using buccal swabs27, amplification in PCRs from a variety of wildlife utilizing blood and tissue28 and assessing Borrelia spp. bacteria in white-tailed deer and canids that had been potentially infected by ticks using mitochondrial DNA from blood samples29. FTA cards have been used in remote field expeditions, utilizing a variety of sources such as feces, buccal cells, and blood samples25. These studies highlight the potential value and utility of FTA cards for wildlife genetic studies. Use of FTA cards would enable hunters, managers, and researchers to sample white-tailed deer in the field reducing the need for large collection locations and movement of carcasses to central sampling locations due to disease concerns18. Additionally, FTA cards denature infectious microorganisms which makes them an appealing option when working with samples where concern about diseased animals may be an issue30.
The purpose of our study was to examine alternative DNA sources that could be stored and extracted using FTA cards while reducing the difficulty of sampling and decreasing the risk of contamination. We specifically focused on evaluating nasal swabs as a potential alternative because previous research suggested that nasal swabs would be suitable for use on live deer31 and may be less invasive and less training intensive than traditional sampling methods. We assessed ocular fluid, as we assumed it would be less likely to have surface contaminates, since we could draw fluid from within the eye. We assumed collecting ocular fluid would result in less errors than extracting blood from a carcass, where the blood may clot depending on the length of time between death and when sample collection occurs.
Methods
We selected Whatman FTA Elute Micro non-indicating cards (referred to as FTA Elute cards) (QIAGEN, Valencia, CA, USA), since they contain a similar chemical makeup to the classic cards and serve the same functions but are designed to have a simplified DNA elution step and a higher DNA yield than traditional cards24. For ocular fluid, indicator cards could have been advantageous, because they change color when a liquid is added, and the fluid was sometimes clear with no visible pigment.
Genetic samples were collected from 38 free-ranging white-tailed deer using various strata (e.g. hunter harvest, roadkill surveillance, and targeted removal) during sampling for chronic wasting disease in Pennsylvania, USA. All deer were sampled by the same veterinarian within 72 h of death. Tissue samples were collected as ear biopsies from all 38 deer and kept frozen at − 20 °C until DNA extraction was performed. From a subset of the 38 deer, nasal swabs (n = 22) and/or ocular fluid (n = 27) were collected and inoculated onto FTA Elute cards based on manufacturer’s instructions. Nasal swabs were collected by inserting a sterile cotton-tipped applicator (Puritan, Hardwood Products Company, Guildford, Minnesota, USA) into the nasal cavity and immediately rolling it onto the FTA Elute card. Ocular fluid was collected by inserting a 22-gauge needle into the anterior chamber and directing it toward the angle of the eye and approximately 40 μl of fluid was added to the FTA Elute cards. Of the 27 ocular fluid samples, 13 were clear and 14 contained grossly visible flecks of dark brown pigment. The FTA Elute cards were air dried for 24 h at room temperature and then stored frozen at − 20 °C until samples were extracted. FTA cards have been reported to work stored at room temperature or frozen at − 20 °C or − 80 °C32 and freezing is suggested by the manufacturer for RNA samples on FTA cards, which are less stable than DNA samples. Since samples were stored frozen prior to obtaining them in the lab we chose to keep all FTA Elute card samples frozen. Nasal swabs were placed in a sterile, empty vacutainer tube (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) after FTA Elute card inoculation and frozen at − 20 °C until direct extraction was performed.
Tissue samples and nasal swabs were extracted using QIAGEN DNeasy Tissue and Blood Extraction Kit (QIAGEN, Valencia, CA, USA). The QIAGEN DNeasy tissue extraction protocol was followed, with one minor modification of eluting with 150 µL AE buffer, instead of 200 µL AE buffer at the final step. Tissue samples underwent a 4 h to overnight digestion in the proteinase K solution, which breaks down proteins. For nasal swabs the QIAGEN DNeasy tissue extraction protocol was also followed by using approximately 1/5th of the cotton swab and digesting it for 3 or more hours in the proteinase K solution at 56 °C. The samples were then centrifuged with subsequent removal of the cotton prior to following the remaining steps of the tissue extraction protocol.
Samples stored on FTA Elute cards were extracted following the manufacturer's protocol, except we utilized an approximate 4 mm square of sample to increase the amount of retrievable DNA, instead of the recommended 3 mm punch. We reextracted 20 samples stored on FTA cards 16–21 months after they were collected utilizing the same techniques. FTA cards were extracted separately and at a different time then tissue and nasal swab samples to minimize the risk of contamination between sample types. All sample types were cut out on a new piece of parafilm with a new razor blade and handled with tweezers that were flame sterilized in between each sample to prevent any contamination. A NanoDrop spectrometer (ThermoFisher Scientific, Waltham, MA, USA) was used to determine the quantity and quality of 1 µL eluted DNA for each sample (Table 1).
Table 1.
Results of DNA quantification by nanodrop spectrometer for different DNA sample types: tissue, nasal swab, nasal swab on an FTA Elute card, pigmented ocular fluid on an FTA Elute card and non-pigmented ocular fluid on an FTA Elute card. Also, results for samples that were reextracted 16–21 months after initial collection for pigmented ocular fluid on an FTA Elute card and nasal swab on an FTA Elute card. Results include the minimum, maximum, average and median value of DNA concentration for each sample type.
Sample type | Number of samples | DNA concentration Min (ng/µL) | DNA concentration Max (ng/µL) | Average (ng/µL) | Median (ng/µL) |
---|---|---|---|---|---|
Tissue | 38 | 3.79 | 259.09 | 103.59 | 98.83 |
Ocular Fluid—pigmented | 14 | 8.89 | 111.58 | 45.62 | 35.00 |
Ocular Fluid—non-pigmented | 13 | 4.68 | 49.08 | 19.2 | 11.58 |
Nasal Swab | 20 | 11.72 | 274.42 | 72.25 | 39.39 |
Nasal Swab-FTA | 22 | 22.5 | 139.55 | 65.25 | 61.66 |
Samples Reextracted after 16–21 months in storage | |||||
Nasal Swab—FTA | 10 | 12.01 | 101.52 | 46.81 | 40.4 |
Ocular Fluid—pigmented | 10 | 3.75 | 27.86 | 10.13 | 8.82 |
Samples were genotyped using a core 11-microsatellite panel developed for genotyping white-tailed deer19. Multiplex mixes were redesigned from previous research in order to be used effectively with FTA Elute cards19. We used QIAGEN Multiplex PCR Kit (QIAGEN, Valencia, CA, USA) to perform PCRs with 10 µL reaction volumes consisting of: 5 µL 2 × QIAGEN Multiplex PCR Master Mix, 1 µL Q_solution, 1 µL of 20 ng DNA and 3 µL of primer mixtures diluted to 20 µM in PCR grade water19. PCR conditions mostly followed recommendations from the QIAGEN Multiplex PCR kit, beginning with incubation at 95 °C for 15 min to activate the HotStarTaq DNA Polymerase (QIAGEN), followed by 32 cycles of denaturing at 94 °C for 30 s, annealing for 90 s at multiplex specific temperature (Table 2), and extension at 72 °C for 60 s, with a final extension step of 72 °C for 10 min. Multiplex arrangements can be found in Table 2. We mixed 1 µL of each PCR amplicon with 10 µL of a denaturing agent (Hi-Di Formamide, ThermoFisher Scientific, Waltham, MA, USA). Fragment size determination was carried out using an Applied Biosystems genetic analyzer (model 3730 XL; Waltham, MA, USA) at the Penn State Genomics Core Facility (University Park, PA, USA). We used the software GeneMarker (Softgenetics, State College, PA, USA) to determine allele identity by comparing the electrophoretic mobility of PCR amplicons to that of a known size standard (GeneScan™ LIZ™ Dye Size Standard; ThermoFisher Scientific, Waltham, MA, USA). A previously confirmed sample was added to each genotyping plate to standardize across runs. A no-template control sample was also included to check for contamination.
Table 2.
Microsatellite multiplex combinations with primers grouped by multiplex with Motif = expected repeat motifs, Vol = volume of primer mix (µL), Dye = dye color, and AT = annealing temperature (°C). Multiplex panels and reaction conditions were adapted from Miller et al. (2019).
Locus | Primer sequence | Motif | Vol | Dye | AT | Range |
---|---|---|---|---|---|---|
Multiplex A | ||||||
RT9 |
F: TGAAGTTTAATTTCCACTCT R: CAGTCACTTTCATCCCACAT |
2 | 0.20 | 6-FAM | 57.0 | 102–125 |
BM4107 |
F: AGCCCCTGCTATTGTGTGAG R: ATAGGCTTTGCATTGTTCAGG |
2 | 0.18 | 6-FAM | 57.0 | 134–168 |
P |
F: TTTCACTGTTTTCTCCTTCAGA R: TGCCCAATCAGATGTTGTAG |
4 | 0.17 | NED | 57.0 | 210–244 |
Q |
F: AATGTGTCAGTGAAGGTCTTC R: ATCCAGGCAACCATCTAG |
4 | 0.18 | 6-FAM | 57.0 | 228–295 |
Multiplex B | ||||||
RT5 |
F: CAGCATAATTCTGACAAGTG R: GTTGAGGGGACTCGACTG |
2 | 0.15 | 6-FAM | 60.0 | 98–125 |
BM6438 |
F: TTGAGCACAGACACAGACTGG R: ACTGAATGCCTCCTTTGTGC |
2 | 0.13 | NED | 60.0 | 251–280 |
Cervid1 |
F: AAATGACAACCCGCTCCAGTATC R: TCCGTGCATCTCAACATGAGTTAG |
2 | 0.10 | NED | 60.0 | 159–198 |
Multiplex C | ||||||
RT7 |
F: CCTGTTCTACTCTTCTTCTC R: ACTTTTCACGGGCACTGGTT |
2 | 0.14 | VIC | 54.0 | 205–243 |
BL42 |
F: ACAAGTCAAGGTCAAGTCCAAATGCC R: CGATTTTTGTGTTAATTTCATGC |
2 | 0.22 | PET | 54.0 | 235–266 |
INRA011 |
F: CGAGTTTCTTTCCTCGTGGTAGGC R: GCTCGGCACATCTTCCTTAGCAAC |
2 | 0.17 | PET | 54.0 | 189–207 |
OarFCB193 |
F: TTCATCTCAGACTGGGATTCAGA R: GCTTGGAAATAACCCTCCTGC |
2 | 0.16 | NED | 54.0 | 94–127 |
We evaluated the effectiveness of alternative methods of DNA collection by comparing PCR results to tissue controls. We classified results from microsatellite analysis to be successful if they amplified at a minimum of nine loci. Samples where alleles were not obvious or were difficult to interpret for more than two loci were rerun. Samples were classified as poor if they produced similar results for reanalyzed loci but had interpretable results at six to eight loci. Samples were classified as failed if we could not confirm allele calls for at least six loci following reruns. Samples considered successful and originating from the same host were then compared against each other and evaluated for mismatched alleles or amplification failure.
Results
Each of the 38 deer sampled had an ear tissue biopsy and at least one other source of DNA for comparison. We determined quantity of DNA from the different sample types using a NanoDrop spectrometer and found that tissue samples had the highest average quantity, followed by nasal swabs, then nasal swabs on FTA cards, then pigmented ocular fluid, and non-pigmented ocular fluid had the lowest average (Table 1).
We calculated the amplification success rate, defined as the proportion of successful results that matched tissue controls, for each method (Table 3). Ocular fluid with pigment had the highest rate of success among the samples tested with a 100% success rate for 14 samples, while clear ocular fluid had the lowest success rate of only 15.4% for 13 samples (Table 3). Nasal swabs were 95% successful for both methods of extraction and ear tissue was 89.5% successful (Table 3).
Table 3.
Results of DNA extraction for genetic samples collected from white-tailed deer in Pennsylvania, USA, for QIAGEN DNeasy and FTA card extraction protocols. The rate of successful amplifications (% Success) was determined for each collection method based on the number of samples with reliable PCR amplification for 11 microsatellite loci.
Total samples | Successful amplification | Poor/failed amplification | % Success | |
---|---|---|---|---|
QIAGEN Extraction Protocol | ||||
Tissue | 38 | 34 | 4 | 89.5% |
Nasal Swab | 20 | 19 | 1 | 95.0% |
FTA Card Extraction Protocol | ||||
Nasal Swab—FTA | 22 | 21 | 1 | 95.5% |
Ocular Fluid—Non-Pigmented | 13 | 2 | 11 | 15.4% |
Pigmented—Ocular Fluid | 14 | 14 | 0 | 100.0% |
Reextraction of FTA Card Extraction Protocol after 16–21 months in storage | ||||
Nasal Swab—FTA | 10 | 10 | 0 | 100.0% |
Ocular Fluid—Pigmented | 10 | 9 | 1 | 90.0% |
We were able to obtain a full genotype for every individual, but not from every source of DNA. One nasal swab, and one nasal swab on the FTA card, produced poor results but were not from the same individual. Two of the ear tissue samples produced poor results and two failed, but the matching FTA card samples provided full genotypes. Of the 27 ocular fluid samples there were 13 non-pigmented FTA cards with five failed and six producing poor results, while all 14 pigmented FTA cards produced successful results.
We calculated error rates for successful results by examining them for mismatched allele calls and allele failures (Table 4). We had 1 nasal swab sample with a mismatched allele creating an error rate of 5.26%. We had 1 tissue sample fail to amplify an allele, producing an error rate of 2.94%. We had 2 pigmented ocular fluid samples fail to amplify an allele creating an error rate of 14.28%. We had 1 nasal swab FTA card fail to amplify an allele creating an error rate of 4.76%. We had 1 non-pigmented ocular fluid sample fail to amplify an allele creating an error rate of 50%.
Table 4.
Error rate calculations for successful results determined by mismatched allele calls and failed allele calls.
Sample type | Mismatched Allele | Failed Allele | Number successful | Error rate |
---|---|---|---|---|
Tissue | 0 | 1 | 34 | 2.94% |
Ocular Fluid—Pigmented | 0 | 2 | 14 | 14.28% |
Ocular Fluid—non-pigmented | 0 | 1 | 2 | 50% |
Nasal Swab—FTA | 0 | 1 | 21 | 4.76% |
Nasal Swab | 1 | 0 | 19 | 5.26% |
Samples Reextracted after 16–21 months in storage | ||||
Nasal Swab—FTA | 1 | 0 | 10 | 10% |
Ocular Fluid—Pigmented | 0 | 1 | 9 | 11.11% |
Discussion
Ear tissue is a frequent DNA source for wildlife studies, having been used in studies on fisher (Martes pennanti)33, red fox (Vulpes vulpes)34, squirrel glider (Petaurus norfolcensis)35, snowshoe hare (Lepus americanus)36 and white-tailed deer19,37. While ear tissues for this study generally displayed high-quality results, some errors were observed. Ear tissue with poor results in our study were largely composed of cartilage without overlying epidemis, and did not digest well in our proteinase K solution. These samples were extracted a second time to rule out errors in the DNA extraction process and produced the same results. These samples were primarily cartilage, and tissue digestion using collagenase type II instead of proteinase K are more likely to be successful in such situations38,39. Nasal swabs were a viable source of DNA, producing adequate DNA concentration (Table 1), and having a success rate of 95% (Table 3). The DNA extractions from nasal swabs were performed using the same reagents and techniques as our tissue samples, and required about the same amount of time, but nasal swabs rolled on FTA cards improved the extraction time with no loss of genotyping efficiency (Table 3). Nasal swabs needed to be frozen and stored in a 10 ml vial, while FTA cards required less storage space and could either be stored frozen or at room temperature. The ocular fluid samples could be a valuable resource if pigmented cells are obtained when sampling (Table 3). Cytologically, the pigmented fluid consisted of numerous cells containing intracytoplasmic pigment (presumably pigmented epithelial cells of the iris)40. The clear ocular fluid samples were likely from the aqueous humor, the fluid that fills the anterior and posterior chambers of the eye, which contains few cells40, and would likely explain the poor performance of these sample types. Clear ocular fluid was classified as low-quality and could be useful when other samples are not available, but pigmented ocular fluid, nasal swabs and ear samples all provided good quantity and quality results and could be valuable resources for wildlife studies.
Ear tissue can be retrieved from live animals usually during wildlife capture efforts or from deceased animals. A concern with using ear samples is obtaining only cartilage, when it is best to also retrieve skin and connective tissue. Concerns for collection occurs when the ear becomes degraded when exposed to UV light and is more likely for the surface to become contaminated with blood and decay from other deer when carcasses are stored together for sampling. Furthermore, allelic dropout in red fox was reported using ear tissue34. Our results showed that both nasal swabs and pigmented ocular fluid provided a comparable or higher success rate for genotyping than ear tissue. Nasal swabs and ocular fluid both worked on FTA cards and could be useful sample types when there are concerns about contamination to outer surfaces from deceased deer. These concerns may arise when carcasses are commonly collected in large quantities at a central public repository for hunters, or at meat processors and taxidermists. The eye and nasal cavity would be less likely to become contaminated from bodily fluids in this instance. Likewise, with roadkill deer if the sample is not fresh, the nasal cavity may be a good option to sample from, because those cells are better protected from degradation by ultraviolet radiation14. Our study readily got good quality samples from deer that were deceased for up to 3 days before sampling. Also, while nasal swabs for this project were collected from deceased deer, there could be value in using nasal swabs on live specimens if less invasive sampling techniques are preferred over blood draws, ear clips, or muscle biopsies. Nasal swabs would require less training for personnel collecting the sample, since no sharps or technical skills like blood draws would be required.
FTA cards could provide wildlife researchers with a nice alternative to traditional sample collection, storage, and extraction. The FTA elute cards would be less expensive because fewer supplies were needed for sample collection, no extraction kit was required, and fewer technician hours were needed for extractions. The storage space requirements were dramatically improved, requiring only small plastic bags and less freezer space. The FTA cards can also be stored at room temperature28, further indicating their value when storage space is limited or when refrigeration is not available. There is a decreased risk of contamination when extracting DNA from FTA cards as fewer transfer steps are required, which also decreases the number of hours needed for DNA extraction, compared to the Qiagen kit method. A reduced heating step for the FTA cards over traditional methods (30 min heat step vs. 3 + hrs heat step) further reduces the time needed. Since there are no required preservatives, freezing, or bulky storage tubes needed, FTA cards could be beneficial for field crews who must carry in supplies. FTA cards may have additional added bonuses to wildlife studies as they can also be used for storing and extracting RNA samples30 and can be used for direct PCR amplification41. One draw-back to using FTA cards is that the extraction yield is significantly lower volume than the Qiagen kit extraction method (30µL vs. 200µL), which could lead to the need for duplicate extractions. Sufficient amount of sample is readily obtained, however, if duplicate extractions are performed. If the sample area, which is an 11 mm disk, is fully covered, then roughly eight extractions can be completed if using the 4 mm square size, which is what we used in this study.
We re-extracted 10 pigmented ocular fluid and 10 nasal swabs from FTA cards after being stored frozen at − 20 °C for 16–21 months and checked the DNA quantity using a nanodrop spectrometer. We compared those results to the original extractions and in both cases, we generally saw a decrease in DNA quantity (Table 1). However, when reevaluating the samples for genotyping across 10 of the 11 original microsatellites, all samples produced results. All reextracted samples would classify as successful, with the exception of one pigmented ocular fluid sample that failed at 2 markers. Despite the reduction in quantity, the genotyping results indicate that samples can still be used for genetic studies after extended storage. There was a greater decrease in the pigmented ocular fluid samples then in nasal swabs, which could warrant further studies on the longevity of these sample types (Table 1).
Another consideration for wildlife studies is non-invasive sampling. Many studies have used non-invasive sampling techniques, utilizing feces23,42,43 and hair samples44,45. Deer feces were used to genotype Sitka black-tailed deer to develop a population estimate based on unique genotypes Brinkman et al.23. After modifications to their collection and extraction procedures they had a genotyping success rate of 87%23. In a study comparing fecal samples to blood samples in bison, allelic dropout was found to be a significant source of error, accounting for 60.3% of mismatches in the study42. However, they were still able to select 15 microsatellites that matched 95% of the time to be able to generate unique and accurate genotypes42. Little research has been done on the efficiency of using FTA cards with non-invasive sample types and warrants further research.
Our comparison of different DNA sources and storage/extraction methods has shown that FTA cards could provide scientists with a reliable method of obtaining, storing, and extracting DNA, in comparison to traditional methods. The FTA Elute cards provide ease of storage, and have a simple, fast extraction process, requiring only the use of PCR grade water24. While our study focused on white-tailed deer samples, our research and previous research documented that FTA cards would be appropriate with other species25,28. Future research on the use of FTA cards with low quality samples would be beneficial for field collections using non-invasive genetic sampling.
Acknowledgements
Funding for this project was provided by the Pennsylvania Game Commission (Research Project No. 27). Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Author contributions
J.B. designed the study and conducted field data collection. J.E. and W.L.M. performed genetic protocols in laboratory. J.E., W.L.M. and W.D.W. performed data management and analysis of results, J.E. and W.D.W. performed writing the manuscript. All authors contributed approval of the submission.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
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References
- 1.Piertney, S. B. In Current Trends in Wildlife Research (eds Mateo, R. et al.) 201–223 (Springer International Publishing, 2016).
- 2.Jabin, G., Sahajpal, V., Chandra, K. & Thakur, M. In Forensic DNA Typing: Principles, Applications and Advancements (eds Shrivastava, P., et al.) 399–403 (Springer, Singapore, 2020).
- 3.Drechsler A, Helling T, Steinfartz S. Genetic fingerprinting proves cross-correlated automatic photo-identification of individuals as highly efficient in large capture–mark–recapture studies. Ecol. Evol. 2015;5:141–151. doi: 10.1002/ece3.1340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Gupta, S. K. In DNA Fingerprinting: Advancements and Future Endeavors (eds Ranjan Dash, H., et al.) 77–87 (Springer, Singapore, 2018).
- 5.Dale TD, et al. Enhancement of wildlife disease surveillance using multiplex quantitative PCR: Development of qPCR assays for major pathogens in UK squirrel populations. Eur. J. Wildl. Res. 2016;62:589–599. doi: 10.1007/s10344-016-1031-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Latch EK, Heffelfinger JR, Fike JA, Rhodes OE., Jr Species-wide phylogeography of North American mule deer (Odocoileus hemionus): Cryptic glacial refugia and postglacial recolonization. Mol. Ecol. 2009;18:1730–1745. doi: 10.1111/j.1365-294X.2009.04153.x. [DOI] [PubMed] [Google Scholar]
- 7.Moscarella RA, Aguilera M, Escalante AA. Phylogeography, population structure, and implications for conservation of white-tailed deer (Odocoileus virginianus) in Venezuela. J. Mammal. 2003;84:1300–1315. doi: 10.1644/brb-028. [DOI] [Google Scholar]
- 8.Lang KR, Blanchong JA. Population genetic structure of white-tailed deer: Understanding risk of chronic wasting disease spread. J. Wildl. Manag. 2012;76:832–840. doi: 10.1002/jwmg.292. [DOI] [Google Scholar]
- 9.Locher A, Scribner KT, Moore JA, Murphy B, Kanefsky J. Influence of landscape features on spatial genetic structure of white-tailed deer in human-altered landscapes. J. Wildl. Manag. 2015;79:180–194. doi: 10.1002/jwmg.826. [DOI] [Google Scholar]
- 10.Green ML, Manjerovic MB, Mateus-Pinilla N, Novakofski J. Genetic assignment tests reveal dispersal of white-tailed deer: Implications for chronic wasting disease. J. Mammal. 2014;95:646–654. doi: 10.1644/13-MAMM-A-167. [DOI] [Google Scholar]
- 11.Zachos FE, et al. Population viability analysis and genetic diversity of the endangered red deer Cervus elaphus population from Mesola, Italy. Wildl. Biol. 2009;15:175–186. doi: 10.2981/07-075. [DOI] [Google Scholar]
- 12.Villanova VL, Hughes PT, Hoffman EA. Combining genetic structure and demographic analyses to estimate persistence in endangered key deer (Odocoileus virginianus clavium) Conserv. Genet. 2017;18:1061–1076. doi: 10.1007/s10592-017-0958-2. [DOI] [Google Scholar]
- 13.Lorenzini R. DNA forensics and the poaching of wildlife in Italy: A case study. Forensic Sci. Int. 2005;153:218–221. doi: 10.1016/j.forsciint.2005.04.032. [DOI] [PubMed] [Google Scholar]
- 14.Vikas K. Wildlife DNA evidence: Recognition, collection and preservation. Res. J. Forensic Sci. 2015;3(7):8–15. [Google Scholar]
- 15.Waits LP, Paetkau D. Noninvasive genetic sampling tools for wildlife biologists: A review of applications and recommendations for accurate data collection. J. Wildl. Manag. 2005;69:1419–1433. doi: 10.2193/0022-541X(2005)69[1419:NGSTFW]2.0.CO;2. [DOI] [Google Scholar]
- 16.Oyler-McCance, S. J. & Leberg, P. L. In The Wildlife Techniques Manual: Research (ed 7th) 526–546 (John Hopkins University Press, 2012).
- 17.Begley-Miller DR, Hipp AL, Brown BH, Hahn M, Rooney TP. White-tailed deer are a biotic filter during community assembly, reducing species and phylogenetic diversity. AoB Plants. 2014 doi: 10.1093/aobpla/plu030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Saunders SE, Bartelt-Hunt SL, Bartz JC. Occurrence, transmission, and zoonotic potential of chronic wasting disease. Emerg. Infect. Dis. 2012;18:369–376. doi: 10.3201/eid1803.110685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Miller WL, Edson J, Pietrandrea P, Miller-Butterworth C, Walter WD. Identification and evaluation of a core microsatellite panel for use in white-tailed deer (Odocoileus virginianus) BMC Genet. 2019;20:49. doi: 10.1186/s12863-019-0750-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Budd K, Berkman LK, Anderson M, Koppelman J, Eggert LS. Genetic structure and recovery of white-tailed deer in Missouri. J. Wildl. Manag. 2018;82:1598–1607. doi: 10.1002/jwmg.21546. [DOI] [Google Scholar]
- 21.DeYoung RW, Demarais S, Gonzales RA, Honeycutt RL, Gee KL. Multiple paternity in white-tailed deer (Odocoileus Virginianus) revealed by DNA microsatellites. J. Mammal. 2002;83:884–892. doi: 10.1644/1545-1542(2002)083<0884:mpiwtd>2.0.co;2. [DOI] [Google Scholar]
- 22.Poutanen J, Pusenius J, Wikström M, Brommer JE. Estimating population density of the white-tailed deer in Finland using non-invasive genetic sampling and spatial capture-recapture. Ann. Zool. Fenn. 2019;56:1–16. doi: 10.5735/086.056.0101. [DOI] [Google Scholar]
- 23.Brinkman TJ, et al. Individual identification of Sitka black-tailed deer (Odocoileus hemionus sitkensis) using DNA from fecal pellets. Conserv. Genet. Resour. 2010;2:115–118. doi: 10.1007/s12686-010-9176-7. [DOI] [Google Scholar]
- 24.de Vargas Wolfgramm E, et al. Simplified buccal DNA extraction with FTA® Elute Cards. Forensic Sci. Int. Genet. 2009;3:125–127. doi: 10.1016/j.fsigen.2008.11.008. [DOI] [PubMed] [Google Scholar]
- 25.Bunting S, Burnett E, Hunter RB, Field R, Hunter KL. Incorporating molecular genetics into remote expedition fieldwork. Trop. Conserv. Sci. 2014;7:260–271. doi: 10.1177/194008291400700207. [DOI] [Google Scholar]
- 26.McClure MC, McKay SD, Schnabel RD, Taylor JF. Assessment of DNA extracted from FTA cards for use on the Illumina iSelect BeadChip. BMC Res Notes. 2009;2:107. doi: 10.1186/1756-0500-2-107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Milne E, et al. Buccal DNA collection: Comparison of buccal swabs with FTA cards. Cancer Epidemiol. Biomark. Prev. 2006;15:816–819. doi: 10.1158/1055-9965.epi-05-0753. [DOI] [PubMed] [Google Scholar]
- 28.Smith LM, Burgoyne LA. Collecting, archiving and processing DNA from wildlife samples using FTA databasing paper. BMC Ecol. 2004;4:4–4. doi: 10.1186/1472-6785-4-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Fryxell RTT, et al. Survey of Borreliae in ticks, canines, and white-tailed deer from Arkansas, U.S.A. Parasit. Vectors. 2012;5:139. doi: 10.1186/1756-3305-5-139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Picard-Meyer E, Barrat J, Cliquet F. Use of filter paper (FTA®) technology for sampling, recovery and molecular characterisation of rabies viruses. J. Virol. Methods. 2007;140:174–182. doi: 10.1016/j.jviromet.2006.11.011. [DOI] [PubMed] [Google Scholar]
- 31.Haley NJ, et al. Antemortem detection of chronic wasting disease prions in nasal brush collections and rectal biopsy specimens from white-tailed deer by real-time quaking-induced conversion. J. Clin. Microbiol. 2016;54:1108–1116. doi: 10.1128/jcm.02699-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Mas S, Crescenti A, Gassó P, Vidal-Taboada JM, Lafuente A. DNA cards: Determinants of DNA yield and quality in collecting genetic samples for pharmacogenetic studies. Basic Clin. Pharmacol. Toxicol. 2007;101:132–137. doi: 10.1111/j.1742-7843.2007.00089.x. [DOI] [PubMed] [Google Scholar]
- 33.Drew RE, et al. Conservation genetics of the fisher (Martes pennanti) based on mitochondrial DNA sequencing. Mol. Ecol. 2003;12:51–62. doi: 10.1046/j.1365-294X.2003.01715.x. [DOI] [PubMed] [Google Scholar]
- 34.Soulsbury CD, Iossa G, Edwards KJ, Baker PJ, Harris S. Allelic dropout from a high-quality DNA source. Conserv. Genet. 2007;8:733–738. doi: 10.1007/s10592-006-9194-x. [DOI] [Google Scholar]
- 35.Soanes K, et al. Evaluating the success of wildlife crossing structures using genetic approaches and an experimental design: Lessons from a gliding mammal. J. Appl. Ecol. 2018;55:129–138. doi: 10.1111/1365-2664.12966. [DOI] [Google Scholar]
- 36.Cheng E, Hodges KE, Sollmann R, Mills LS. Genetic sampling for estimating density of common species. Ecol. Evol. 2017;7:6210–6219. doi: 10.1002/ece3.3137. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.DeYoung RW, et al. Evaluation of DNA microsatellite panel useful for genetic exclusion studies in white-tailed deer. Wildl. Soc. Bull. 2003;31:220–232. [Google Scholar]
- 38.Vedicherla S, Buckley CT. Rapid chondrocyte isolation for tissue engineering applications: The effect of enzyme concentration and temporal exposure on the matrix forming capacity of nasal derived chondrocytes. Biomed. Res. Int. 2017;2395138:12. doi: 10.1155/2017/2395138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Maličev E, Kregar-Velikonja N, Barlič A, Alibegović A, Drobnič M. Comparison of articular and auricular cartilage as a cell source for the autologous chondrocyte implantation. J. Orthop. Res. 2009;27:943–948. doi: 10.1002/jor.20833. [DOI] [PubMed] [Google Scholar]
- 40.Goel M, Picciani RG, Lee RK, Bhattacharya SK. Aqueous humor dynamics: A review. Open Ophthalmol J. 2010;4:52–59. doi: 10.2174/1874364101004010052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Park SJ, Kim JY, Yang YG, Lee SH. Direct STR amplification from whole blood and blood- or saliva-spotted FTA® without DNA purification*. J. Forensic Sci. 2008;53:335–341. doi: 10.1111/j.1556-4029.2008.00666.x. [DOI] [PubMed] [Google Scholar]
- 42.Forgacs D, Wallen R, Boedeker A, Derr J. Evaluation of fecal samples as a valid source of DNA by comparing paired blood and fecal samples from American bison (Bison bison) BMC Genet. 2019 doi: 10.1186/s12863-019-0722-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Pfeiler SS, et al. Costs and precision of fecal DNA mark–recapture versus traditional mark–resight. Wildl. Soc. Bull. 2020;44:531–542. doi: 10.1002/wsb.1119. [DOI] [Google Scholar]
- 44.Henry P, Henry A, Russello M. A noninvasive hair sampling technique to obtain high quality DNA from elusive small mammals. J. Vis. Exp. JoVE. 2011 doi: 10.3791/2791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Wirsing AJ, Quinn TP, Adams JR, Waits LP. Optimizing selection of brown bear hair for noninvasive genetic analysis. Wildl. Soc. Bull. 2020;44:94–100. doi: 10.1002/wsb.1057. [DOI] [Google Scholar]