锦葵科植物DNA条形码通用序列的筛选

对锦葵科植物样品的ITS、ITS2、rbcL、matK和psbA-trnH序列进行PCR扩增和测序, 比较各序列的扩增效率、测序成功率、种内和种间变异的差异以及barcoding gap图, 使用BLAST1和Nearest Distance方法评价不同序列的鉴定能力, 进而从这些候选序列中筛选出较适合锦葵科植物鉴别的DNA条形码序列。结果表明, ITS序列在采集的锦葵科植物11个种26个样品中的扩增成功率较高, 其种内、种间变异差异和barcoding gap较ITS2、psbA-trnH及rbcL序列具有更明显的优势, 且纳入60个属316个种共1 228个样品的网上数据后, 其鉴定成功率可达89.9%。psbA-trnH序列的扩增和测序成功率最高, 其鉴定成功率为63.2%, 并能鉴别一些ITS序列无法鉴别的种。实验结果表明, ITS和psbA-trnH是较适合鉴别锦葵科植物的DNA条形码序列组合。     

Comparing whole‐genome shotgun sequencing and DNA metabarcoding approaches for species identification and quantification of pollen species mixtures

Molecular identification of mixed‐species pollen samples has a range of applications in various fields of research. To date, such molecular identification has primarily been carried out via amplicon sequencing, but whole‐genome shotgun (WGS) sequencing of pollen DNA has potential advantages, including (1) more genetic information per sample and (2) the potential for better quantitative matching. In this study, we tested the performance of WGS sequencing methodology and publicly available reference sequences in identifying species and quantifying their relative abundance in pollen mock communities. Using mock communities previously analyzed with DNA metabarcoding, we sequenced approximately 200Mbp for each sample using Illumina HiSeq and MiSeq. Taxonomic identifications were based on the Kraken k‐mer identification method with reference libraries constructed from full‐genome and short read archive data from the NCBI database. We found WGS to be a reliable method for taxonomic identification of pollen with near 100% identification of species in mixtures but generating higher rates of false positives (reads not identified to the correct taxon at the required taxonomic level) relative to rbcL and ITS2 amplicon sequencing. For quantification of relative species abundance, WGS data provided a stronger correlation between pollen grain proportion and sequence read proportion, but diverged more from a 1:1 relationship, likely due to the higher rate of false positives. Currently, a limitation of WGS‐based pollen identification is the lack of representation of plant diversity in publicly available genome databases. As databases improve and costs drop, we expect that eventually genomics methods will become the methods of choice for species identification and quantification of mixed‐species pollen samples.     

A new cultivation independent approach to detect and monitor common Trichoderma species in soils

A set of primers was developed for the detection, identification and quantification of common Trichoderma species in soil samples. Based on a broad range master alignment primers were derived to amplify an approximate 540 bp fragment comprising the internal transcribed spacer region 1 (ITS 1), 5.8S rDNA and internal transcribed spacer region 2 (ITS 2) from all taxonomic Clades of the genus Trichoderma. The primer set was applied to test strains as well as community DNA isolated from arable and forest soil. For all tested isolates the corresponding internal transcribed spacer regions of Trichoderma spp. strains were amplified, but none of non-Trichoderma origin. PCR with community DNA from soil yielded products of the expected size. Analysis of a clone library established for an arable site showed that all amplified sequences originated exclusively from Trichoderma species mainly being representatives of the Clades Hamatum, Harzianum and Pachybasioides and comprising most of the species known for biocontrol ability. In a realtime PCR approach the primer set uTf/uTr also proved to be a suitable system to quantify DNA of Trichoderma spp. in soils.     

锦葵科植物DNA条形码通用序列的筛选

对锦葵科植物样品的ITS、ITS2、rbcL、matK和psbA-trnH序列进行PCR扩增和测序,比较各序列的扩增效率、测序成功率、种内和种间变异的差异以及barcoding gap图,使用BLAST1和Nearest Distance方法评价不同序列的鉴定能力,进而从这些候选序列中筛选出较适合锦葵科植物鉴别的DNA条形码序列。结果表明,ITS序列在采集的锦葵科植物11个种26个样品中的扩增成功率较高,其种内、种间变异差异和barcoding gap较ITS2、psbA-trnH及rbcL序列具有更明显的优势,且纳入60个属316个种共1228个样品的网上数据后,其鉴定成功率可达89.9%。psbA-trnH序列的扩增和测序成功率最高,其鉴定成功率为63.2%,并能鉴别一些ITS序列无法鉴别的种。实验结果表明,ITS和psbA-trnH是较适合鉴别锦葵科植物的DNA条形码序列组合。     

Evaluating multiplexed next‐generation sequencing as a method in palynology for mixed pollen samples

The identification of pollen plays an important role in ecology, palaeo‐climatology, honey quality control and other areas. Currently, expert knowledge and reference collections are essential to identify pollen origin through light microscopy. Pollen identification through molecular sequencing and DNA barcoding has been proposed as an alternative approach, but the assessment of mixed pollen samples originating from multiple plant species is still a tedious and error‐prone task. Next‐generation sequencing has been proposed to avoid this hindrance. In this study we assessed mixed pollen probes through next‐generation sequencing of amplicons from the highly variable, species‐specific internal transcribed spacer 2 region of nuclear ribosomal DNA. Further, we developed a bioinformatic workflow to analyse these high‐throughput data with a newly created reference database. To evaluate the feasibility, we compared results from classical identification based on light microscopy from the same samples with our sequencing results. We assessed in total 16 mixed pollen samples, 14 originated from honeybee colonies and two from solitary bee nests. The sequencing technique resulted in higher taxon richness (deeper assignments and more identified taxa) compared to light microscopy. Abundance estimations from sequencing data were significantly correlated with counted abundances through light microscopy. Simulation analyses of taxon specificity and sensitivity indicate that 96% of taxa present in the database are correctly identifiable at the genus level and 70% at the species level. Next‐generation sequencing thus presents a useful and efficient workflow to identify pollen at the genus and species level without requiring specialised palynological expert knowledge.     

降香黄檀的DNA条形码鉴定研究

DNA条形码技术是利用基因组中一段短的标准序列进行物种的鉴定并探索其亲缘进化关系。本研究对采自海南不同地区降香黄檀五个居群24份样品的psbA-trnH,rbcL,核ITS及ITS2序列进行PCR扩增和测序,比较各序列扩增和测序效率。种间和种内变异,采用BLAST1和邻接 (NJ) 法构建系统聚类树方法评价不同序列的鉴定能力。结果表明ITS2在所研究的材料中具有最高的扩增和测序效率,而ITS扩增效率较低。ITS2完整序列在区分黄檀属不同种间差异具有较大优势。因此可利用ITS2从分子水平区分降香黄檀与其他混伪种。     

Oligonucleotide array for identification and detection of pythium species

A DNA array containing 172 oligonucleotides complementary to specific diagnostic regions of internal transcribed spacers (ITS) of more than 100 species was developed for identification and detection of Pythium species. All of the species studied, with the exception of Pythium ostracodes, exhibited a positive hybridization reaction with at least one corresponding species-specific oligonucleotide. Hybridization patterns were distinct for each species. The array hybridization patterns included cluster-specific oligonucleotides that facilitated the recognition of species, including new ones, belonging to groups such as those producing filamentous or globose sporangia. BLAST analyses against 500 publicly available Pythium sequences in GenBank confirmed that species-specific oligonucleotides were unique to all of the available strains of each species, of which there were numerous economically important ones. GenBank entries of newly described species that are not putative synonyms showed no homology to sequences of the spotted species-specific oligonucleotides, but most new species did match some of the cluster-specific oligonucleotides. Further verification of the specificity of the DNA array was done with 50 additional Pythium isolates obtained by soil dilution plating. The hybridization patterns obtained were consistent with the identification of these isolates based on morphology and ITS sequence analyses. In another blind test, total DNA of the same soil samples was amplified and hybridized on the array, and the results were compared to those of 130 Pythium isolates obtained by soil dilution plating and root baiting. The 13 species detected by the DNA array corresponded to the isolates obtained by a combination of soil dilution plating and baiting, except for one new species that was not represented on the array. We conclude that the reported DNA array is a reliable tool for identification and detection of the majority of Pythium species in environmental samples. Simultaneous detection and identification of multiple species of soilborne pathogens such as Pythium species could be a major step forward for epidemiological and ecological studies.     

Use of the ITS primers, ITS1F and ITS4, to characterize fungal abundance and diversity in mixed-template samples by qPCR and length heterogeneity analysis

Molecular-based approaches to assess microbial biomass and diversity from soil and other ecosystems are rapidly becoming the standard methodology for analysis. While these techniques are advantageous, because they do not rely on the need to culture organisms, each technique may have its own biases and/or limitations when used to assess fungal diversity from mixed-template samples. In this study, we analyzed PCR specificity and efficiency of the ITS primers (ITS1F and ITS4) in a series of single- and mixed-template samples using a combined quantitative PCR-length heterogeneity analysis (LH-qPCR) approach. As expected, these primers successfully amplified all higher fungal species tested (10 ascomycetes, 6 basidiomycetes, and 4 zygomycetes) and no members of the oomycetes. Based on our results, and a search of the GenBank database, amplicons of the ITS1F and ITS4 primer set exhibit considerable variability (420 to 825 bp), but due to similarities in amplicon sizes of some fungal species, actual species diversity in environmental samples may be underestimated approximately two-fold. The addition of an initial qPCR step allowed for the accurate quantitation of total fungal DNA in mixed-template samples over five orders of magnitude (10(-)(1) to 10(3) pg microl(-)(1)). PCR biases between individuals in mixed-templates rendered it impossible to determine the absolute quantity of any individual within a population from its individual peak height. However, relative changes in individuals within a mixed-template sample could be determined due to a constant proportionality between peak heights and starting template concentration. Variability associated with the individual steps of the LH-qPCR analysis was also determined from environmental samples.     

A PCR-based method for detecting the mycelia of stipitate hydnoid fungi in soil

To reduce the reliance on sporocarp records for conservation efforts, information on the below-ground distribution of specific fungal species, such as stipitate hydnoid fungi, is required. Species-specific primers were developed within the internal transcribed spacer (ITS1 and ITS2) regions for 12 hydnoid fungal species including Bankera fuligineoalba, Hydnellum aurantiacum, H. caeruleum, H. concrescens, H. ferrugineum, H. peckii, Phellodon confluens, P. melaleucus, P. niger, P. tomentosus, Sarcodon glaucopus and S. squamosus. The specificity of the primer pairs was tested using BLAST searches and PCR amplifications. All primers amplified DNA only of the target species with the exception of those designed for P. melaleucus. In order to assess the ability of the primers to detect DNA from mycelium in soil, DNA extracted from soil samples taken from around solitary H. peckii sporocarps was amplified with the H. peckii primer 1peck and ITS2. H. peckii DNA was detected in 70% of all soil samples and up to 40 cm away from the base of individual sporocarps. The development of these species-specific primers provides a below-ground alternative for monitoring the distribution of these rare fungi.     

A universal molecular method for identifying underground plant parts to species

As part of a large project to determine rooting depth and resource uptake on the Edwards Plateau of central Texas, we developed a DNA-based technique that allows the below-ground parts of all plants to be identified to the level of genus and usually to species. Identification is achieved by comparing DNA sequences of the internal transcribed spacer (ITS) region of the 18S-26S nuclear ribosomal DNA repeat, derived from below-ground plant material, with a reference ITS region database for plants at a site. The method works throughout plants because the plant ITS region can be PCR amplified using a set of universal primers. Congeneric species can usually be identified because the ITS region evolves relatively rapidly. In our study, all roots were easily identified to the level of genus; most congeneric species were identified solely by ITS sequence differences but some required a combination of ITS sequence data and above-ground surveys of species at a site. In addition to showing the feasibility and efficacy of our technique, we compare it with another DNA-based technique used to identify below-ground plant parts. Finally, we also describe a DNA extraction and purification technique that reliably provides high-quality DNA of sufficient quantity from roots so that PCR can be readily accomplished. Our technique should allow the below-ground parts of plants in any system to be identified and thereby open new possibilities for the study of below-ground plant communities.     

中国秋海棠属 (秋海棠科) 植物的DNA条形码评价

秋海棠属植物种类繁多,形态变异多样,导致种类的系统放置混乱,近缘种类鉴定困难。利用DNA条形码实现物种快速准确的鉴定技术具有不受形态特征约束的优势,为秋海棠属植物的分类鉴定提供了新的方法。本研究选择4个DNA条形码候选片段（rbcL,matK,trnH psbA,ITS）对中国秋海棠属26种136个个体进行了分析。结果显示：叶绿体基因rbcL,matK和trnH psbA种内和种间变异小,对秋海棠属植物的鉴别能力有限;ITS/ITS2种内和种间变异大,在本研究中物种正确鉴定率达到100%/96%,可考虑作为秋海棠属DNA条形码鉴定的候选片段。研究结果支持中国植物条形码研究组建议将核基因ITS/ITS2纳入种子植物DNA条形码核心片段中的观点。     

New pollen classification of Chenopodiaceae for exploring and tracing desert vegetation evolution in eastern arid central Asia

Members of the Chenopodiaceae are the most dominant elements in the central Asian desert. The different genera and species within this family are common in desert vegetation types. Should it prove possible to link pollen types in this family to specific desert vegetation, it would be feasible to trace vegetation successions in the geological past. Nevertheless, the morphological similarity of pollen grains in the Chenopodiaceae rarely permits identification at the generic level. Although some pollen classifications of Chenopodiaceae have been proposed, none of them tried to link pollen types to specific desert vegetation types in order to explore their ecological significance. Based on the pollen morphological characters of 13 genera and 24 species within the Chenopodiaceae of eastern central Asia, we provide a new pollen classification of this family with six pollen types and link them to those plant communities dominated by Chenopodiaceae, for example, temperate dwarf semi‐arboreal desert (Haloxylon type), temperate succulent halophytic dwarf semi‐shrubby desert (Suaeda, Kalidium, and Atriplex types), temperate annual graminoid desert (Kalidium type), temperate semi‐shrubby and dwarf semi‐shrubby desert (Kalidium, Iljini, and Haloxylon types), and alpine cushion dwarf semi‐shrubby desert (Krascheninnikovia type). These findings represent a new approach for detecting specific desert vegetation types and deciphering ecosystem evolution in eastern central Asia.     

DNA条形码技术在毒品原植物大麻鉴定中的应用

准确鉴定毒品原植物大麻的种属及品种具有重要的理论和实践意义。为了探讨DNA条形码技术用于毒品原植物大麻种属鉴定及品种鉴定的可行性,该研究以60份大麻原植物(分别采自内蒙、黑龙江、陕西延安、陕西榆林4个地区的栽培大麻雌雄各6株及新疆玛纳斯地区的野生大麻雌雄各6株)为材料,通过从其叶片中提取的DNA为模版,利用核糖体DNA基因间隔区的通用引物ITS2和叶绿体DNA的通用引物psbAtrnH进行PCR扩增,对扩增片段进行双向测序,将测序结果进行人工矫正和比对。结果显示:所有大麻样本的ITS2扩增片段序列没有变异完全一致,但psbA-trnH扩增片段变异较大共检测出8种cpDNA单倍型,用MEGE5.1软件计算种间遗传距离,并构建NJ系统聚类树可以有效把这五个地区的大麻样本区别开来,因此证明DNA条形码技术在毒品原植物大麻的种属鉴定方面具有可行性,但其用于大麻的种属鉴定的准确性、可靠性及在其来源地鉴定及品种鉴定中的可能性还有待进一步深入地研究。     

Numerical Characteristics of Pollen Assemblages of Surface Samples from the West Kunlun Mountains

A total of 31 suface sediment samples were collected from West Kunlun Mountain in south Xinjiang Autonomous Region in northwest China. These samples are from seven types of vegetation: Picea schrenkiana Fisch. et Mey. forest, Sabina Spach. woodland, sub-alpine steppe, alpine meadow, desert vegetion, cushion-vegetation and vegetation adjancent to glaciers. Pollen percentages and pollen concentrations were calculated in all samples. The dominant pollen types in the region are Chenopodiaceae, Artemisia, Picea, Ephedra, Gramineae, Cyperaceae, Rosaceae, Leguminosae, Compositae etc. In order to reveal the relationship between pollen composition and the vegetation type from which the soil sample was collected, principal component analysis and group average cluster analysis were employed on the pollen data. The results revealed that the major vegetation types in this region could be distinguished by pollen composition: a. Samples from desert vegetation were dominated by pollen of Chenopodiaceae (about 60195%). The percentages of all other pollen types were low. b. Picea forest samples were rich in Picea pollen (about 20%) Sabina forest had more Sabina pollen grains than other vegetation types (about 5%, others <1%). Pollen percentages of Artemisia, Chenopodiaceae and Ephedra were comparatively higher (each about 20%) in these samples from the two types of vegetations. C. Pollen percentages of Artemisia, Cyperaceae, Gramineae and Chenopodiaceae were high in both sub-alpine steppe and alpine meadow. But steppe containal more Artemisia and Chenopodiaceae (steppe 33.75% and 32.30%, meadow 15.57% and 19.48% in average), less Cyperaceae and Gramineae (steppe 2.58% and 7.60%, meadow 22.35% and 12.93% in average) than meadow. d. Samples from cushion-vegetation and vegetation adjacent to glaciers were mainly composed of pollen grains transported from other sites. It was not easy to distinguish them from other vegetation types. Principal component analysis and cluster analysis distinguish samples from Picea forest, Sabina woodland, sub-alpine steppe, alpine meadow and desert vegetation. Therefore we think it will be possible to apply the module to reconstruct past vegetation in this region and other similar regions. Regression analysis was also applied to reveal the relationships between pollen and plant percentages of Artemisia, Chenopodiaceae, Cyperaceae and Gramineae. The results indicated that a linear relationship existed between pollen and plant percentages for Artemisia, Chenopodiaceae and Cyperaeeae.     

A new tool for the molecular identification of Culicoides species of the Obsoletus group: the glass slide microarray approach

Culicoides species of the Obsoletus group (Diptera: Ceratopogonidae) are potential vectors of bluetongue virus serotype 8 (BTV 8), which was introduced into central Western Europe in 2006. Correct morphological species identification of Obsoletus group females is especially difficult and molecular identification is the method of choice. In this study we present a new molecular tool based on probe hybridization using a DNA microarray format to identify Culicoides species of the Obsoletus group. The internal transcribed spacer 1 (ITS1) gene sequences of 55 Culicoides belonging to 13 different species were determined and used, together with 19 Culicoides ITS1 sequences sourced from GenBank, to design species-specific probes for the microarray test. This test was evaluated using the amplified ITS1 sequences of another 85 Culicoides specimens, belonging to 11 species. The microarray test successfully identified all samples (100%) of the Obsoletus group, identifying each specimen to species level within the group. This test has several advantages over existing polymerase chain reaction (PCR)-based molecular tools, including possible capability for parallel analysis of many species, high sensitivity and specificity, and low background signal noise. Hand-spotting of the microarray slide and the use of detection chemistry make this alternative technique affordable and feasible for any diagnostic laboratory with PCR facilities.     

内蒙古中部四子王旗荒漠草原过渡带表土花粉分析

通过研究内蒙古中部四子王旗地区的表土花粉,试图揭示荒漠草原地区小尺度范围中表土花粉的植被和气侯指示意义.源自4个不同植物群落的19块表土花粉显示:研究区表土花粉组合主要以草本植物蒿属(Artemisia)、藜科(Chenopodiaceae)花粉占优势,两者百分含量一般在60%以上;禾本科(Poaceae)花粉具低代表性,平均含量在5%左右;另含有一定数量的白刺属(Nitraria)、麻黄属(Ephedra)、菊科(Asteraceae)和葱属(Allium)等花粉为特征.笔者首次提出的(蒿属+禾本科+菊科)/(白刺属+麻黄属+藜科)百分比值,有效地揭示了研究区北部较南部要干旱,与A/C比值及当地现生植被生境和气候因子相吻合.研究结果对我国内陆干旱、半干旱荒漠草原区第四纪古植被的恢复,以及古气候的重建提供了参照依据.     

Validation of the ITS2 Region as a Novel DNA Barcode for Identifying Medicinal Plant Species

Background

The plant working group of the Consortium for the Barcode of Life recommended the two-locus combination of rbcL + matK as the plant barcode, yet the combination was shown to successfully discriminate among 907 samples from 550 species at the species level with a probability of 72%. The group admits that the two-locus barcode is far from perfect due to the low identification rate, and the search is not over.

Methodology/Principal Findings

Here, we compared seven candidate DNA barcodes (psbA-trnH, matK, rbcL, rpoC1, ycf5, ITS2, and ITS) from medicinal plant species. Our ranking criteria included PCR amplification efficiency, differential intra- and inter-specific divergences, and the DNA barcoding gap. Our data suggest that the second internal transcribed spacer (ITS2) of nuclear ribosomal DNA represents the most suitable region for DNA barcoding applications. Furthermore, we tested the discrimination ability of ITS2 in more than 6600 plant samples belonging to 4800 species from 753 distinct genera and found that the rate of successful identification with the ITS2 was 92.7% at the species level.

Conclusions

The ITS2 region can be potentially used as a standard DNA barcode to identify medicinal plants and their closely related species. We also propose that ITS2 can serve as a novel universal barcode for the identification of a broader range of plant taxa.     

Assessment of candidate plant DNA barcodes using the Rutaceae family

DNA barcoding is a rapidly developing frontier technology that is gaining worldwide attention.Here,seven regions (psbA-trnH,matK,ycf5,rpoC1,rbcL,ITS2,and ITS) with potential for use as DNA barcodes were tested for their ability to identify 300 samples of 192 species from 72 genera of the family Rutaceae.To evaluate each barcode’s utility for species authentication,PCR amplification efficiency,genetic divergence,and barcoding gaps were assessed.We found that the ITS2 region exhibited the highest inter-specific divergence,and that this was significantly higher than the intra-specific variation in the "DNA barcoding gap" assessment and Wilcoxon two-sample tests.The ITS2 locus had the highest identification efficiency among all tested regions.In a previous study,we found that ITS2 was able to discriminate a wide range of plant taxa,and here we confirmed that ITS2 was also able to discriminate a number of closely related species.Therefore,we propose that ITS2 is a promising candidate barcode for plant species identification.     

DNA barcoding Chinese medicinal Bupleurum

We tested 4 markers, namely nuclear internal transcribed spacer 2 (ITS2), psbA-trnH, matK, and rbcL, to evaluate these candidate DNA barcodes for distinguishing Bupleuri radix (Chaihu) from its adulterants. 51 plant samples of Bupleurum representing 19 species were collected from different areas in China. Amplification and sequencing were attempted for all the 4 candidate barcode regions, whose validity was assessed in terms of the success rate of PCR amplification and sequencing, differential intra- and inter-specific divergences, DNA barcoding gap and the ability to discriminate species. The results showed that ITS2 had the best performance in identifying Bupleurum with an identification efficiency of 73.68%, which, after combining with psbA-trnH, increased to 83.33%. We further evaluated the efficiency of ITS2 for discriminating the species of Bupleurum using a large database from GenBank, which archived data of 223 samples from 74 species, and ITS2 successfully discriminated 64.13% of the samples at the species level. In conclusion, the ITS2 can serve as a potentially useful barcode for Bupleurum species, with psbA-trnH as a supplementary locus.     

Oligonucleotide Array for Identification and Detection of Pythium Species

A DNA array containing 172 oligonucleotides complementary to specific diagnostic regions of internal transcribed spacers (ITS) of more than 100 species was developed for identification and detection of Pythium species. All of the species studied, with the exception of Pythium ostracodes, exhibited a positive hybridization reaction with at least one corresponding species-specific oligonucleotide. Hybridization patterns were distinct for each species. The array hybridization patterns included cluster-specific oligonucleotides that facilitated the recognition of species, including new ones, belonging to groups such as those producing filamentous or globose sporangia. BLAST analyses against 500 publicly available Pythium sequences in GenBank confirmed that species-specific oligonucleotides were unique to all of the available strains of each species, of which there were numerous economically important ones. GenBank entries of newly described species that are not putative synonyms showed no homology to sequences of the spotted species-specific oligonucleotides, but most new species did match some of the cluster-specific oligonucleotides. Further verification of the specificity of the DNA array was done with 50 additional Pythium isolates obtained by soil dilution plating. The hybridization patterns obtained were consistent with the identification of these isolates based on morphology and ITS sequence analyses. In another blind test, total DNA of the same soil samples was amplified and hybridized on the array, and the results were compared to those of 130 Pythium isolates obtained by soil dilution plating and root baiting. The 13 species detected by the DNA array corresponded to the isolates obtained by a combination of soil dilution plating and baiting, except for one new species that was not represented on the array. We conclude that the reported DNA array is a reliable tool for identification and detection of the majority of Pythium species in environmental samples. Simultaneous detection and identification of multiple species of soilborne pathogens such as Pythium species could be a major step forward for epidemiological and ecological studies.