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.     

DNA Barcode ITS Effectively Distinguishes the Medicinal Plant Boerhavia diffusa from Its Adulterants

Boerhavia diffusa (B. diffusa), also known as Punarnava, is an indigenous plant in India and an important component in traditional Indian medicine. The accurate identification and collection of this medicinal herb is vital to enhance the drug’s efficacy and biosafety. In this study, a DNA barcoding technique has been applied to identify and distinguish B. diffusa from its closely-related species. The phylogenetic analysis was carried out for the four species of Boerhavia using barcode candidates including nuclear ribosomal DNA regions ITS, ITS1, ITS2 and the chloroplast plastid gene psbA-trnH. Sequence alignment revealed 26% polymorphic sites in ITS, 30% in ITS1, 16% in ITS2 and 6% in psbA-trnH, respectively. Additionally, a phylogenetic tree was constructed for 15 species using ITS sequences which clearly distinguished B. diffusa from the other species. The ITS1 demonstrates a higher transition/transversion ratio, percentage of variation and pairwise distance which differentiate B. diffusa from other species of Boerhavia. Our study revealed that ITS and ITS1 could be used as potential candidate regions for identifying B. diffusa and for authenticating its herbal products.     

Evaluation of Four Commonly Used DNA Barcoding Loci for Chinese Medicinal Plants of the Family Schisandraceae

Many species of Schisandraceae are used in traditional Chinese medicine and are faced with contamination and substitution risks due to inaccurate identification. Here, we investigated the discriminatory power of four commonly used DNA barcoding loci (ITS, trnH-psbA, matK, and rbcL) and corresponding multi-locus combinations for 135 individuals from 33 species of Schisandraceae, using distance-, tree-, similarity-, and character-based methods, at both the family level and the genus level. Our results showed that the two spacer regions (ITS and trnH-psbA) possess higher species-resolving power than the two coding regions (matK and rbcL). The degree of species resolution increased with most of the multi-locus combinations. Furthermore, our results implied that the best DNA barcode for the species discrimination at the family level might not always be the most suitable one at the genus level. Here we propose the combination of ITS+trnH-psbA+matK+rbcL as the most ideal DNA barcode for discriminating the medicinal plants of Schisandra and Kadsura, and the combination of ITS+trnH-psbA as the most suitable barcode for Illicium species. In addition, the closely related species Schisandra rubriflora Rehder & E. H. Wilson and Schisandra grandiflora Hook.f. & Thomson, were paraphyletic with each other on phylogenetic trees, suggesting that they should not be distinct species. Furthermore, the samples of these two species from the southern Hengduan Mountains region formed a distinct cluster that was separated from the samples of other regions, implying the presence of cryptic diversity. The feasibility of DNA barcodes for identification of geographical authenticity was also verified here. The database and paradigm that we provide in this study could be used as reference for the authentication of traditional Chinese medicinal plants utilizing DNA barcoding.     

Systematics of the subfamily Haplorchiinae (Trematoda: Heterphyidae), based on nuclear ribosomal DNA genes and ITS2 region

Phylogenetic relationships of 6 species in the trematode subfamily Haplorchiinae were analyzed using small and large subunit of ribosomal DNA genes (18S rDNA and 28S rDNA) and internal transcribed spacer subunit II (ITS2) region as molecular markers. Maximum Likelihood and Bayesian inference analyses of combined rDNAs and ITS2 indicated a close relationship between the genera Haplorchis and Procerovum, while these two genera were distinct from Stellantchasmus falcatus. These phylogenetic relationships were consistent with the number of testes but not with the characters of the modification of the seminal vesicle or of the ventral sucker. Although three Haplorchis spp. were, together with Procerovum, in the same cluster, their mutual topology was incongruent between rDNA and ITS2 trees. Phylogenetic analyses using other molecular markers with more species are necessary to work out solid phylogenetic relationships among the species in this subfamily.     

Phylogenetic congruence between subtropical trees and their associated fungi

Recent studies have detected phylogenetic signals in pathogen–host networks for both soil‐borne and leaf‐infecting fungi, suggesting that pathogenic fungi may track or coevolve with their preferred hosts. However, a phylogenetically concordant relationship between multiple hosts and multiple fungi in has rarely been investigated. Using next‐generation high‐throughput DNA sequencing techniques, we analyzed fungal taxa associated with diseased leaves, rotten seeds, and infected seedlings of subtropical trees. We compared the topologies of the phylogenetic trees of the soil and foliar fungi based on the internal transcribed spacer (ITS) region with the phylogeny of host tree species based on matK, rbcL, atpB, and 5.8S genes. We identified 37 foliar and 103 soil pathogenic fungi belonging to the Ascomycota and Basidiomycota phyla and detected significantly nonrandom host–fungus combinations, which clustered on both the fungus phylogeny and the host phylogeny. The explicit evidence of congruent phylogenies between tree hosts and their potential fungal pathogens suggests either diffuse coevolution among the plant–fungal interaction networks or that the distribution of fungal species tracked spatially associated hosts with phylogenetically conserved traits and habitat preferences. Phylogenetic conservatism in plant–fungal interactions within a local community promotes host and parasite specificity, which is integral to the important role of fungi in promoting species coexistence and maintaining biodiversity of forest communities.     

Molecular authentication of Anthemis deserti Boiss. (Asteraceae) based on ITS2 region of nrDNA gene sequence

The dried plant material of medicinally important Anthemis deserti Boiss. (family: Asteraceae) especially when it remains in the powdered form often look similar to Anthemis melampodina Del.; and therefore, difficult to distinguish, finally lead to chances of adulteration. The adulteration in medicinal plants effects on the efficacy of the drugs. The molecular authentication of herbal plant materials such as based on the internal transcribed spacer 2 (ITS2) sequences of nuclear ribosomal DNA (nrDNA) is considered as more reliable method compared to other the biochemical or histological methods. The present study aims to molecular authentication ofA. deserti based on molecular phylogenetic analyses of ITS2 gene sequence of nrDNA region. The ITS2 region of nrDNA of A. deserti were sequenced, and the molecular phylogenetic analyses were performed together with the GenBank sequences. The Maximum Parsimony tree revealed the close relationships of A. deserti with A. melampodina; however, the Neighbor-Joining and Maximum Likelihood tree clearly revealed that A. deserti is distinct from A. melampodina, which is also supported by the differences in nucleotides at five diffident positions (i.e. 22, 28, 87, 175 and 198) in the DNA sequence alignment.     

Applying DNA barcodes for identification of plant species in the family Araliaceae

An effective DNA marker in authentication of the family Araliaceae was screened out of the five DNA regions (matK, rbcL, ITS2, psbA-trnH and ycf5). In the present study, 1113 sequences of 276 species from 23 genera (Araliaceae) were collected from DNA sequencing and GenBank, in which 16 specimens were from 5 provinces in China and Japan. All of the sequences were assessed in the success rates of PCR amplifications, intra- and inter-specific divergence, DNA barcoding gaps and efficiency of identification. Compared with other markers, ITS2 showed superiority in species discrimination with an accurate identification of 85.23% and 97.29% at the species and genus levels, respectively, in plant samples from the 589 sequences derived from Araliaceae. Consequently, as one of the most popular phylogenetic markers, our study indicated that ITS2 was a powerful barcode for Araliaceae identification.     

Endophytic Fungal Communities Associated with Vascular Plants in the High Arctic Zone Are Highly Diverse and Host-Plant Specific

This study assessed the diversity and distribution of endophytic fungal communities associated with the leaves and stems of four vascular plant species in the High Arctic using 454 pyrosequencing with fungal-specific primers targeting the ITS region. Endophytic fungal communities showed high diversity. The 76,691 sequences obtained belonged to 250 operational taxonomic units (OTUs). Of these OTUs, 190 belonged to Ascomycota, 50 to Basidiomycota, 1 to Chytridiomycota, and 9 to unknown fungi. The dominant orders were Helotiales, Pleosporales, Capnodiales, and Tremellales, whereas the common known fungal genera were Cryptococcus, Rhizosphaera, Mycopappus, Melampsora, Tetracladium, Phaeosphaeria, Mrakia, Venturia, and Leptosphaeria. Both the climate and host-related factors might shape the fungal communities associated with the four Arctic plant species in this region. These results suggested the presence of an interesting endophytic fungal community and could improve our understanding of fungal evolution and ecology in the Arctic terrestrial ecosystems.     

The Use of DNA Barcoding on Recently Diverged Species in the Genus Gentiana (Gentianaceae) in China

DNA barcoding of plants poses particular challenges, especially in differentiating, recently diverged taxa. The genus Gentiana (Gentianaceae) is a species-rich plant group which rapidly radiated in the Himalaya-Hengduan Mountains in China. In this study, we tested the core plant barcode (rbcL + matK) and three promising complementary barcodes (trnH-psbA, ITS and ITS2) in 30 Gentiana species across 6 sections using three methods (the genetic distance-based method, Best Close Match and tree-based method). rbcL had the highest PCR efficiency and sequencing success (100%), while the lowest sequence recoverability was from ITS (68.35%). The presence of indels and inversions in trnH-psbA in Gentiana led to difficulties in sequence alignment. When using a single region for analysis, ITS exhibited the highest discriminatory power (60%-74.42%). Of the combinations, matK + ITS provided the highest discrimination success (71.43%-88.24%) and is recommended as the DNA barcode for the genus Gentiana. DNA barcoding proved effective in assigning most species to sections, though it performed poorly in some closely related species in sect. Cruciata because of hybridization events. Our analysis suggests that the status of G. pseudosquarrosa needs to be studied further. The utility of DNA barcoding was also verified in authenticating ‘Qin-Jiao’ Gentiana medicinal plants (G. macrophylla, G. crassicaulis, G. straminea, and G. dahurica), which can help ensure safe and correct usage of these well-known Chinese traditional medicinal herbs.     

Plant and Fungal Diversity in Gut Microbiota as Revealed by Molecular and Culture Investigations

Background

Few studies describing eukaryotic communities in the human gut microbiota have been published. The objective of this study was to investigate comprehensively the repertoire of plant and fungal species in the gut microbiota of an obese patient.

Methodology/Principal Findings

A stool specimen was collected from a 27-year-old Caucasian woman with a body mass index of 48.9 who was living in Marseille, France. Plant and fungal species were identified using a PCR-based method incorporating 25 primer pairs specific for each eukaryotic phylum and universal eukaryotic primers targeting 18S rRNA, internal transcribed spacer (ITS) and a chloroplast gene. The PCR products amplified using these primers were cloned and sequenced. Three different culture media were used to isolate fungi, and these cultured fungi were further identified by ITS sequencing. A total of 37 eukaryotic species were identified, including a Diatoms (Blastocystis sp.) species, 18 plant species from the Streptophyta phylum and 18 fungal species from the Ascomycota, Basidiomycota and Chytridiocomycota phyla. Cultures yielded 16 fungal species, while PCR-sequencing identified 7 fungal species. Of these 7 species of fungi, 5 were also identified by culture. Twenty-one eukaryotic species were discovered for the first time in human gut microbiota, including 8 fungi (Aspergillus flavipes, Beauveria bassiana, Isaria farinosa, Penicillium brevicompactum, Penicillium dipodomyicola, Penicillium camemberti, Climacocystis sp. and Malassezia restricta). Many fungal species apparently originated from food, as did 11 plant species. However, four plant species (Atractylodes japonica, Fibraurea tinctoria, Angelica anomala, Mitella nuda) are used as medicinal plants.

Conclusions/Significance

Investigating the eukaryotic components of gut microbiota may help us to understand their role in human health.     

Evaluation of chloroplast and nuclear DNA barcodes for species identification in Terminalia L.

The genus Terminalia L. belongs to the Combretaceae family, which includes several medicinal and threatened species with high trade value. Species of Terminalia in India belong to four sections and species identification within the sections is considered to be complex due to the lack of sufficient taxonomical characters and the existence of morphotypes. Therefore, we tested the effectiveness of three chloroplast DNA barcodes (rbcL, matK, and trnH-psbA) and a nuclear DNA barcode (ITS2) for the discrimination of Terminalia species. A reference DNA barcode library consisting of 120 DNA barcodes from ten species of Terminalia was created. Intra-specific divergence was not observed among the accessions for any marker. Inter-specific divergence was highest in trnH-psbA (10.6%), followed by ITS2, matK and rbcL markers. The success of species differentiation by DNA barcodes was 100% with trnH-psbA, 80% with matK and ITS2, and 10% with rbcL. In the phylogenetic trees, the rbcL marker did not differentiate the species in any section. Two species from the section Catappa were not differentiated by matK and ITS2 markers. Only trnH-psbA resolved all the species and ranked the best among four markers for species identification. However, regarding species relationship studies, ITS2 was found to be better than other markers because it formed a separate clade for each section.     

Molecular characterization and evaluation of mycorrhizal capacity of Suillus isolates from Central Spain for the selection of fungal inoculants

Suillus fungal specimens of pine forests from a Mediterranean area of central Spain (Madrid region) were studied based on molecular and physiological analysis of sporocarps to obtain fungal native inocula to produce mycorrhizal Pinus halepensis Miller in nursery. Variation within the internal transcribed spacer (ITS) region of the ribosomal RNA genes of Suillus was examined by restriction fragment length polymorphism (RFLP) and direct sequencing of polymerase chain reaction products. Ribosomal DNA (rDNA) spacers were amplified from pure cultures obtained from fruit bodies of a range of Suillus species: Suillus bellinii (Inzenga) Watling, Suillus bovinus (Pers.) Kuntze, Suillus collinitus (Fr.) Kuntze, Suillus granulatus (L.) Snell, Suillus mediterraneensis (Jacquet. & Blum) Redeuil, Suillus luteus L. (Gray), and Suillus variegatus (Sw.) Kuntze. Interspecific variation in the length and number of restriction sites of the amplified ITS region was observed. This variation was confirmed by sequencing, which allowed us to identify some isolates. This is the first time that the ITS sequence of S. mediterraneensis is completely described. No intraspecific rDNA variation was observed within isolates of S. collinitus, S. mediterraneensis, and S. luteus. The phylogenetic analysis established the close relationship among these Mediterranean fungal species. As a further step to characterize the different isolates and to understand the relation between genetic and functional diversity, some physiological variables were evaluated. Intraspecific variation in axenic fungal growth and in mycorrhizal capacities was detected, especially within S. collinitus isolates. The fungal isolates stimulated the growth of P. halepensis in different rates. These studies indicated that ITS analysis, in conjunction with mycorrhizal tests, provides suitable combined tools for the analysis of Suillus spp. in a small geographic area for selecting isolates with final afforestation purposes.     

Molecular Phylogeny of Asian Meconopsis Based on Nuclear Ribosomal and Chloroplast DNA Sequence Data

The taxonomy and phylogeny of Asian Meconopsis (Himalayan blue poppy) remain largely unresolved. We used the internal transcribed spacer (ITS) region of nuclear ribosomal DNA (nrDNA) and the chloroplast DNA (cpDNA) trnL-F region for phylogenetic reconstruction of Meconopsis and its close relatives Papaver, Roemeria, and Stylomecon. We identified five main clades, which were well-supported in the gene trees reconstructed with the nrDNA ITS and cpDNA trnL-F sequences. We found that 41 species of Asian Meconopsis did not constitute a monophyletic clade, but formed two solid clades (I and V) separated in the phylogenetic tree by three clades (II, III and IV) of Papaver and its allies. Clade V includes only four Asian Meconopsis species, with the remaining 90 percent of Asian species included in clade I. In this core Asian Meconopsis clade, five subclades (Ia–Ie) were recognized in the nrDNA ITS tree. Three species (Meconopsis discigera, M. pinnatifolia, and M. torquata) of subgenus Discogyne were imbedded in subclade Ia, indicating that the present definition of subgenera in Meconopsis should be rejected. These subclades are inconsistent with any series or sections of the present classifications, suggesting that classifications of the genus should be completely revised. Finally, proposals for further revision of the genus Meconopsis were put forward based on molecular, morphological, and biogeographical evidences.     

Evaluating multilocus Bayesian species delimitation for discovery of cryptic mycorrhizal diversity

The increasing availability of DNA sequence data enables exciting new opportunities for fungal ecology. However, it amplifies the challenge of how to objectively classify the diversity of fungal sequences into meaningful units, often in the absence of morphological characters. Here, we test the utility of modern multilocus Bayesian coalescent-based methods for delimiting cryptic fungal diversity in the orchid mycorrhiza morphospecies Serendipita vermifera. We obtained 147 fungal isolates from Caladenia, a speciose clade of Australian orchids known to associate with Serendipita fungi. DNA sequence data for 7 nuclear and mtDNA loci were used to erect competing species hypotheses by clustering isolates based on: (a) ITS sequence divergence, (b) Bayesian admixture analysis, and (c) mtDNA variation. We implemented two coalescent-based Bayesian methods to determine which species hypothesis best fitted our data. Both methods found strong support for eight species of Serendipita among our isolates, supporting species boundaries reflected in ITS divergence. Patterns of host plant association showed evidence for both generalist and specialist associations within the host genus Caladenia. Our findings demonstrate the utility of Bayesian species delimitation methods and suggest that wider application of these techniques will readily uncover new species in other cryptic fungal lineages.     

Analysis of the Fungal Flora in Environmental Dust Samples by PCR–SSCP Method

Conventional microbiological techniques yield only limited information on the composition of fungal communities in dust. The aim of this study was to establish and optimize PCR-single strand conformation polymorphism (PCR–SSCP) analysis for investigation of fungal diversity in rural dust samples. Three different DNA extraction protocols were tested on 38 fungal cultures. A total of six known universal fungal primer pairs were tested targeting the 18S rRNA gene, the 28S rRNA gene and the ITS region, respectively. Objective evaluation was performed with respect to the following parameters: efficiency to amplify all 38 strains; separation of seven species from different phylogenetic groups on the SSCP gel; additional bands in PCR–SSCP analysis; possibility to classify the amplified gene fragments to species level. Primer ITS1/ITS4 and PowerSoil? DNA isolation showed the best performance in most cases and were chosen for further analysis. The detection limit of the developed system was 200 CFU/g dust. Moreover, the reproducibility of the system could be demonstrated, leading to average profile similarities of 94.94 % [SD = 2.51] within gels, 93.03 % [SD = 4.69] between different days and 87.66 % [SD = 6.62] between different gels when testing shed and mattress dust samples. Sequencing allowed identification on species level, in detail: Alternaria alternata, Cladosporium sphaerospermum, Cladosporium cladosporioides as well as the yeasts Candida cabralensis and Candida catenulata. This demonstrates the adaptability of the method. In this study, a standardized system for fungal community analysis was developed that provides reproducible results applicable for epidemiological purposes.     

Plant identity strongly structures the root-associated fungal community in a diverse subtropical forest

Revealing the relationship between plants and root-associated fungi is very important in understanding diversity maintenance and community assembly in ecosystems. However, the community assembly of root-associated fungi of focal plant species along a subtropical plant species diversity gradient is less documented. Here, we examined root-associated fungal communities associated with five ectomycorrhizal (EM) plant species (Betula luminifera, Castanea henryi, Castanopsis fargesii, C. sclerophylla, and Quercus serrate) in a Chinese subtropical woody plant species diversity (1, 2, 4, 8, 16 and 24 species) experiment, using paired-end Illumina MiSeq sequencing of the ITS2 region. In total, we detected 1933 root-associated fungal operational taxonomic units (OTUs) at a 97% sequence similarity level. Plant identity had a significant effect on total and saprotrophic fungal OTU richness, but plant species diversity level had a significant effect on saprotrophic and pathogenic fungal OTU richness. The community composition of total, saprotrophic and EM fungi was structured by plant identity and plant species diversity level. However, the community composition of pathogenic fungi was only shaped by plant identity. This study highlights that plant identity has a stronger effect on the root-associated fungal community than plant species diversity level in a diverse subtropical forest ecosystem.     

PCR-Based Strategy To Detect and Identify Species of Phaeoacremonium Causing Grapevine Diseases

Species of Phaeoacremonium (especially Phaeoacremonium aleophilum) are associated with two severe diseases in grapevines, Petri disease in young plants and Esca disease in adult plants. Phaeoacremonium species grow slowly on culture medium, and it is difficult to identify these species on the basis of morphological characteristics. Primers Pm1 and Pm2 were designed in the ribosomal DNA internal transcribed spacer (ITS) regions ITS1 and ITS2, respectively. They yielded a single amplicon of 415 bp for nine species of Phaeoacremonium that may occur in grapevines. A nested PCR (using general fungal primers ITS1F/ITS4 in the primary reaction) was developed to detect Phaeoacremonium directly in grapevine wood. Molecular detection was more sensitive than the traditional method of culturing in growth medium was. Identification of Phaeoacremonium species was achieved by digesting the PCR-amplified fragment with the restriction enzymes BssKI, EcoO109I, and HhaI. It was possible to distinguish these species by their restriction fragment length polymorphism patterns, except for Phaeoacremonium viticola and Phaeoacremonium angustius, which had 100% similarity in their ITS region sequences. A species-specific PCR amplification of the partial β-tubulin gene using the primer pair Pbr4_1/T1 and Pbr8/T1 was necessary to differentiate P. angustius from P. viticola, respectively. An easy and fast protocol was developed to detect and identify species of Phaeoacremonium in a few hours. Primers defined here can be used in a plant nursery sanitation program to produce plants free of Phaeoacremonium spp. Use of healthy grapevine plants in new plantations is the most effective measure to manage Petri disease.     

Evaluation of molecular identification of Aspergillus species causing fungal keratitis

Fungal keratitis caused by the species of Aspergillus is a common and leading problem in developing countries like India. In this study, a total of 135 isolates from Aspergillus keratitis were studied by sequence analyses of the internal transcribed spacer (ITS) region performed by nucleotide-nucleotide BLAST analysis followed by the initial identification of the isolates based on conidial and colony morphology. The sequence analysis revealed several unusual species which were never reported in eye infections such as A. tamrii, A. tubingensis, A. braslliensis, A. nomius, A. pseudonomius, A. sydowii, Eurotium amstelodami. The sequence analysis of the ITS region; the β-tubulin and calmodulin genes brought out the genetic diversity among the isolates as the study intended to locate a more sensitive target sequence to study genetic diversity among a set of test fungal isolates. The PCR amplified sequences of the test isolates of the study as well as sequences belonging to section Flavi obtained from Genbank database were compared and analyzed along with three standard isolates by phylogenetic tree (Neighbor-joining) as to find out a target region/gene that could produce a better resolution to differentiate the isolates. Accordingly, the calmodulin gene had provided better resolution compared to ITS and β-tubulin to study the diversity among the test Aspergillus species isolated from fungal corneal ulcer.     

PCR Amplification of Ribosomal DNA for Species Identification in the Plant Pathogen Genus Phytophthora

We have developed a PCR procedure to amplify DNA for quick identification of the economically important species from each of the six taxonomic groups in the plant pathogen genus Phytophthora. This procedure involves amplification of the 5.8S ribosomal DNA gene and internal transcribed spacers (ITS) with the ITS primers ITS 5 and ITS 4. Restriction digests of the amplified DNA products were conducted with the restriction enzymes RsaI, MspI, and HaeIII. Restriction fragment patterns were similar after digestions with RsaI for the following species: P. capsici and P. citricola; P. infestans, P. cactorum, and P. mirabilis; P. fragariae, P. cinnamomi, and P. megasperma from peach; P. palmivora, P. citrophthora, P. erythroseptica, and P. cryptogea; and P. megasperma from raspberry and P. sojae. Restriction digests with MspI separated P. capsici from P. citricola and separated P. cactorum from P. infestans and P. mirabilis. Restriction digests with HaeIII separated P. citrophthora from P. cryptogea, P. cinnamomi from P. fragariae and P. megasperma on peach, P. palmivora from P. citrophthora, and P. megasperma on raspberry from P. sojae. P. infestans and P. mirabilis digests were identical and P. cryptogea and P. erythroseptica digests were identical with all restriction enzymes tested. A unique DNA sequence from the ITS region I in P. capsici was used to develop a primer called PCAP. The PCAP primer was used in PCRs with ITS 1 and amplified only isolates of P. capsici, P. citricola, and P. citrophthora and not 13 other species in the genus. Restriction digests with MspI separated P. capsici from the other two species. PCR was superior to traditional isolation methods for detection of P. capsici in infected bell pepper tissue in field samples. The techniques described will provide a powerful tool for identification of the major species in the genus Phytophthora.