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Article

Phylogenetic Study of Alternaria Potato and Tomato Pathogens in Russia

by
Lyudmila Yu. Kokaeva
1,2,*,
Maria M. Yarmeeva
1,
Zarema G. Kokaeva
1,
Elena M. Chudinova
2,
Petr N. Balabko
3 and
Sergey N. Elansky
1,2
1
Faculty of Biology, Lomonosov Moscow State University, 119991 Moscow, Russia
2
Peoples Friendship University of Russia (RUDN University), 117198 Moscow, Russia
3
Faculty of Soil Sciences, Lomonosov Moscow State University, 119991 Moscow, Russia
*
Author to whom correspondence should be addressed.
Diversity 2022, 14(8), 685; https://doi.org/10.3390/d14080685
Submission received: 12 July 2022 / Revised: 17 August 2022 / Accepted: 18 August 2022 / Published: 20 August 2022

Abstract

:
Early blight (EB) is a destructive disease affecting potato and tomato plants in Russia, caused by a heterogeneous group of plant pathogenic Alternaria fungi. The current species delimitation in Alternaria sect. Porri with medium to large conidia and a long (filamentous) beak is based on molecular data. In this study, the ITS, GAPDH, RPB2, TEF1, and Alt a 1 gene regions were analyzed in 41 large-spored Alternaria isolates obtained from diseased potato and tomato plants collected from 13 regions in Russia. Our data revealed five pathogenic species (A. alternariacida, A. grandis, A. linariae, A. protenta, and A. solani). Two species (A. solani and A. linariae) were found to be associated with early blight of tomato. Alternaria linariae and A. protenta were confirmed as the major causal agents of tomato and potato early blight, respectively. There were no phylogenetic groupings among tested Russian Alternaria isolates associated with their locality.

1. Introduction

In Russia, early blight (EB) is considered to be one of the most destructive diseases of potato (Solanum tuberosum L.) and tomato (S. lycopersicum L.) plants, the leading vegetable crops in the country. The volume of potato production in Russia is about 30 million tons and financial losses from the development of potato diseases can be very significant. A wide variety of plant pathogenic Alternaria fungi cause early blight. It is characterized by necrotic lesions in the aerial parts of plants. Species delimitation among Alternaria spp. pathogens was always challenging, and all large-spored species were generally considered to be Alternaria solani Sorauer. Based on conidial morphology, Simmons described 21 species occurring on Solanaceae plants [1]. The main EB-inducing agents for potato were A. solani and A. grandis E.G. Simmons. A. tomatophila, A. cretica, and A. subcylindrica were identified to cause EB on tomatoes [2]. In 2014, a large-scale phylogenetic reconstruction of large-spored Alternaria species was performed [3]. Multilocus analyses using concatenated phylogeny of internal transcribed spacers 1 and 2 and 5.8S gene (ITS), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), DNA-dependent RNA polymerase II (RPB2) gene, transcription elongation factor 1α (TEF1) and Alternaria major allergen gene (Alt a 1) have separated Alternaria species into different groups according to their original hosts [3]. At present, this is the most extensive phylogenetic study of large-spored Alternaria. There were only A. solani, A. protenta, and A. grandis strains isolated from potato plants in the study; A. alternariacida and A. linaria from tomato plants; and A. nitrimali and A. solani-nigri from other Solanaceae plants.
There have only been a few studies conducted on species affecting potato and tomato plants according to the revised Porri classification proposed by Woudenberg et al. [3]. As far as we know, such work has not been conducted in Russia, the former Soviet Union, or Eastern Europe. Thus, our work aimed to revise large-spored Alternaria strains that infect potato and tomato plants by DNA sequencing species-specific regions in accordance with the research of Woudenberg et al. [3].

2. Materials and Methods

2.1. Isolates

Alternaria isolates were collected from commercial potato and tomato fields and small private gardens in different regions of Russia (Figure 1, Table 1): Voronezh (site 9), Leningrad (7), Astrakhan (5,6), Krasnodar (10,11,13), Moscow (12), Primorsky (3,4), Khabarovsk (2) regions, and Tatarstan republic (1) as well as in Belarus (8). For direct isolation, plant material was incubated for 24 h in moist chambers. Under a binocular microscope (MBS 10, Russia), conidia were transferred with a preparation needle to potato dextrose agar (PDA) medium with an antibiotic solution (1000 U/mL benzylpenicillin sodium). After that, the hyphal tips were transferred under a binocular microscope onto another Petri dish with PDA medium.

2.2. PCR and Sequencing

In order to isolate the DNA, the mycelium of fungi was grown on liquid pea medium [4]. DNA was extracted according to the standard CTAB protocol [5]. The internal transcribed spacer 1 (ITS1) and ITS2 regions and the 5.8S ribosomal DNA (rDNA) region of the fungi were amplified with ITS1 and ITS4 primers [6], parts of the GAPDH gene—with gpd1 and gpd2 [7], the RPB2 gene—with RPB2-5F2 [8] and fRPB2-7cR [9], and the TEF1 gene—with the primers EF1-728F and EF1-986R [10]. PCR was performed with GenPak® PCR Core kit (Isogene Lab., Moscow, Russia). The PCR program consisted of an initial denaturing step at 94 °C for 5 min, 35 amplification cycles, and an additional extending step at 72 °C for 3 min. For the primer pairs ITS1/ITS4, RPB2-5F2/fRPB2-7cR, EF1-728F/EF1-986R, and Alt-for/Alt-rev, the amplification cycles were 94 °C for 30 s, 55 °C for 30 s, and 72 °C for 30 s. For the primer pair gpd1/gpd2, the amplification cycles were 94 °C for 30 s, 62 °C for 30 s, and 72 °C for 1 min. After the reaction, the length and purity of the PCR products were monitored by electrophoresis in 1% agarose gel. Ethidium bromide was used to visualize the PCR product. A piece of gel containing the amplicon of the desired size was cut with a sterile scalpel and placed in a microtube. Then, the instructions specified in the description of the CleanUp Standard kit for DNA isolation from the gel (Evrogen Co Ltd., Moscow, Russia) were followed. DNA sequencing was carried out according to the Sanger method at the Evrogen company with both forward and reverse primers. The raw sequence reads were assembled into the consensus sequence in Geneious v. 7.13 (Biomatters Limited, Auckland, New Zealand) using default settings.

2.3. Phylogenetic Analysis

The sequences of each gene were aligned and cut at the ends. Specifically, for the ALT-A1 gene, a fragment of about 475 nucleotides (nt) was considered; for the ITS—538 nt, for the GAPDH gene—580 nt, for the RPB2—772 nt, and for the TEF1—355 nt. Multiple sequence alignments were generated with MAFTT algorithm plugin in Geneious ver. 7.13 (Biomatters Ltd., Auckland, New Zealand). Sequences of fragments of ITS-5,8S-ITS2, GAPDH, RPB2, TEF1, and Alt a1 genes were used for phylogenetic study (Table 2). Additionally, gene sequences, including the outgroup, were retrieved from Woudenberg et al. [3] (Table 2).

2.4. Bioinformatic Methods

Sequences were aligned with the MAFFT version 7 web tool (http://mafft.cbrc.jp/alignment/server/ accessed on 1 December 2021) with subsequent manual processing. Phylogenetic reconstructions were performed with maximum likelihood (ML) and Bayesian (BI) analyses. Nucleotide substitution models for BI were chosen with TOPALI v. 2.5 (The Apache Software Foundation, Maryland, CA, USA) based on the Bayesian information criterion (BIC). Bayesian analyses were performed with Geneious v. 7.13. In these analyses, three parallel runs with four chains each and other default parameters were run for one million generations. A burn-in of 25% was used in the final analyses, ensuring the average standard deviation of split frequencies had reached <0.01 for all data sets. Support at nodes was indicated when posterior probabilities were ≥0.6. For ML analyses, the best-fit substitution model for the alignment was estimated based on the Akaike information criterion (AIC) using the IQ-TREE Web Service (http://iqtree.cibiv.univie.ac.at/ accessed 12 December 2021). The Tamura–Nei (TN) [11] model plus empirical base frequencies allowing for a proportion of invariable sites was chosen for the “potato” dataset. For the “tomato” dataset, TN plus empirical base frequencies and a freeRate model with 2 categories were used. The RAxML program ver. 7.0.3 (The Exelixis Lab, Heidelberg, Germany) was used for the heuristic search.

3. Results

3.1. Bioinformatic Analysis

The aligned sequences of ITS, GAPDH, RPB2, TEF1, and Alt a1 regions had a total length of 2690 characters for the alignments of both potato- and tomato-related strains, with 2, 6, 28, 6, and 8 unique site patterns, respectively. The aligned “potato” data set for seven species included 2572 constant sites and 54 parsimony informative sites. Alignment of the “tomato” data set sequences resulted in 2574 constant sites and 47 parsimony informative sites. The phylogenetic analyses based upon Maximum Likelihood inference of ITS, GAPDH, RPB2, TEF1, and Alt a1 regions of 41 Alternaria isolates are shown in Figure 2 and Figure 3. Bayesian Inference and ML returned similar topologies and relevant support values. Two species, A. solani-nigri (R. Dubey, S.K. Singh and Kamal) and A. nitrimali (E.G. Simmons and M.E. Palm), which also occur on Solanaceae plants, were used in tree A. nitrimali and found to be a proper out-group as indicated by its clear segregation from the other strains used in the study.

3.2. Phylogeny

Isolates from affected potato leaves included species of Alternaria alternariacida, A. grandis, A. linariae, A. protenta, A. solani (Figure 2, Table 1). Most of the potato strains (9) were grouped with A. protenta. Among them are isolates from the eastern and western parts of Russia. Seven strains were completely identical to the reference isolate CBS 116651; the sequence of the GADPH gene of strain A17VoPL51a differed from the reference only by one nucleotide. A16PrPL45 strain from the Far East belongs to the A. protenta clade as well but differed from CBS 116651 by one nucleotide in each of four gene regions (ITS, GADPH, TEF1, Alt). Among the strains isolated from the Far East, four were A. grandis. Their DNA sequences were completely identical to that of the A. grandis CBS 109158 and CBS 116695 reference strains. From all tested potato isolates, the only strain isolated in northern Europe in 2017 belonged to A. solani and was identical to CBS 109157. Although A. solani clustered with A. grandis and differs by only one nt in its GAPDH sequence and one in the ITS sequence from A. grandis, although they were retained as a distinct species [3]. The A16PrPL21 strain from the Far East clustered with A. alternariacida CBS 105.51, although it differed from the reference strain by one nucleotide deletion in the ITS region. Among the strains studied was one that belonged to the clade A. linariae. This isolate from the Far East, A17VlPL31a, was closest to the first subclade of A. linariae.
The tomato strains studied belong to the A. linariae and A. solani (Figure 3) species. Twenty-three out of twenty-five tomato strains studied belong to the A. linariae species. The isolates came from leaves, fruits, and stems of tomato plants cultivated in different Russian regions and in different years. According to the reference strains CPC 21620, CBS 109164, and CBS 108.53, A. linariae strains were grouped into three subclades. There were two strains found in the European part of Russia in 2021 that were identified as A. solani and were analogous to CBS reference strains.

4. Discussion

In our study, five species of large-spore Alternaria were identified on potato leaves: A. grandis, A. solani, A. alternariacida, A. protenta, A. linariae. The A. alternariacida description (Woudenberg) is based on the strain isolated from the fruit of Solanum lycopersicum. In the present work, we first discovered a strain of this species on potato. We confirmed disease caused by A. alternaricida on potato plants [12]. Moreover, two species, A. solani and A. linariae, were found to be associated with tomato. There have been similar observations elsewhere in the world: in Algeria, A. protenta, A. linariae, A. solani and A. grandis have been found on potato leaves [13,14,15,16]; A. solani was found on a potato tuber in Egypt [17]. We have also found a large-spore Alternaria strain on potatoes grown in Uganda. The DNA sequence analysis indicated that it was similar to the reference A. linariae strain, differing by one nucleotide in the GADPH gene and two nucleotides in the Alt a 1 gene (OL450058and OL450057). In Wisconsin, USA, [18] strains isolated from potato leaves were found to be A. protenta or A. solani. Researchers did not analyze the sequence of the rpb2 gene that differentiates the two species, so a more precise identification was not possible. Einspanier et al.’s [19] genome-wide study involved 43 large-spore Alternaria isolates collected from potato plants in Europe and the United States. By analyzing the sequences of species-specific markers, it was observed that eight of the isolates studied were identical to strain CBS 116651, which belongs, according to Woudenberg et al. [3], to the A. protenta species. Whole-genome analysis of strains revealed that large-spore species have high levels of single nucleotide substitution rates. This corresponds well with our results. Only one-point substitutions separated the strains that had no complete similarity with the reference strains. This may be caused by the absence of sexual reproduction in large-spore Alternaria populations.
Most of the isolates from the leaves, stems, and fruits of affected tomato plants belonged to the A. linariae species. This is not surprising, since the revised A. linariae species include A. tomatophila, A. cretica and A. subcylindrica [3], which were previously considered the main species of Alternaria infecting tomato [2]. Additionally, a potato A17VPL31a isolate was included in the A. linariae clade. In the Moscow and Krasnodar regions (European part of Russia), two strains of A. solani were isolated from affected leaves and stems of tomato plants. Tomato plants in Algeria have also been found affected by both A. linariae and A. solani [15].
There are relatively few molecular genetic studies of the species structure of large-spore Alternaria in the world. As a result, it is difficult to compare the species and intraspecific composition of Alternaria that infect different Solanaceae plants. Yet, if we look at our and literature-based data, we can find some patterns. Our study found that almost all tomato isolates belonged to the A. linariae species, and only two isolates belonged to the A. solani species. Furthermore, of the tested potato isolates, only one was A. linariae and one was A. solani, and the rest were distributed among the species A. grandis, A. alternariacida, and A. protenta. The CBS A. protenta reference strains were isolated from both S. lycopersicum and S. tuberosum plants. An isolate of A. solani CBS 111.41 was isolated from S. aviculare. It was identical to the A. solani strains we observed causing early blight on potatoes and tomatoes. The A. linariae strains that cause early blight on tomatoes and potatoes were also similar. This indicates that there is no evidence to support the assumption of species-specificity. This corresponds well with the results of studies in North Carolina and Wisconsin involving the Alternaria species from tomato and potato plants [20]. However, the hypothesis of a lack of host specialization needs to be confirmed by cross-inoculation of Alternaria isolates on tomato and potato plants. Our previous studies of the virulence of Alternaria alternata detected intraspecific differences in the virulence and aggressiveness of strains towards potato and tomato cultivars. Some isolates successfully infected cultivars that were highly resistant to other isolates, suggesting that potato and tomato cultivars have genes of specific resistance to A. alternata [21].
The phylogenies of the single-gene trees were not congruent with the consensus tree. Only RPB2 gene trees had the same topology as the consensus tree. We found that the sequences of the ITS region, Alt A1 and GAPDH genes alone could not resolve the phylogeny of closely related Alternaria pathogens of Solanaceae. These results agree with Lourencßo et al. [22] and Peixoto et al. [23] which also found a relatively low number of polymorphisms in the Alt a1 gene sequence among EB-inducing isolates from potato and tomato plants. Therefore, the RPB2 gene is the most relevant for this species complex.
We hypothesized that the genetic diversity of species can vary between different locations, at least in the European region and the Far East. Despite this, we found no relationship between the variable characters and the geographical spread between species. The low number of differences corresponds well with whole-genome results [19], suggesting the existence of true clones that have been transported by seed tubers. In North Carolina and Wisconsin, Adhakiri et al. [20] analyzed field populations of three Alternaria species, finding that A. solani had much lower diversity than A. alternata and A. linariae. Indeed, we found three different haplotypes in A. linariae species. However, it has been shown that A. solani in China has relatively high levels of genetic variation, suggesting parasexual reproduction [24].
Thus, we found five pathogenic Alternaria species on potato plants and two species on tomato plants in Russia. These findings allow us to study the host range and possible options for disease control. We found no phylogenetic groupings among Russian Alternaria isolates associated with their locality. Yet, the sister relationship between the potato and tomato plants makes these species excellent subjects for studying the model of genetic divergence and speciation. A better understanding of their virulence and fungicide resistance can help in the elaboration of the most effective methods of plant protection.

Author Contributions

Conceptualization, L.Y.K. and S.N.E.; Methodology, M.M.Y. and E.M.C.; Investigation, Z.G.K.; Writing—original draft preparation, L.Y.K.; Writing—review and editing, P.N.B.; Project administration, S.N.E.; Funding acquisition, S.N.E. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the RUDN University Scientific Grant System, project № 202193-2-174.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All sequence data are available in NCBI GenBank following the accession numbers in the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Collection sites of Alternaria isolates. 1—Mari El republic; 2—Khabarovsky krai; 3—Primorsky krai, Ussurijsk district; 4—Primorsky krai, Vladivostok district, 5—Astrakhan region, Habarlin district; 6—Astrakhan region, Kamyzyak district; 7—Leningrad region; 8—Republic of Belarus; 9—Voronezh region; 10—Krasnodar region, Strelka village; 11—Krasnodar region, Temryuk district; 12—Moscow region; 13—Krasnodar region, Anapa district.
Figure 1. Collection sites of Alternaria isolates. 1—Mari El republic; 2—Khabarovsky krai; 3—Primorsky krai, Ussurijsk district; 4—Primorsky krai, Vladivostok district, 5—Astrakhan region, Habarlin district; 6—Astrakhan region, Kamyzyak district; 7—Leningrad region; 8—Republic of Belarus; 9—Voronezh region; 10—Krasnodar region, Strelka village; 11—Krasnodar region, Temryuk district; 12—Moscow region; 13—Krasnodar region, Anapa district.
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Figure 2. Phylogenetic tree based on the combined gene sequences of ITS, GAPDH, Alt a1, TEF1, and RPB2 of strains isolated from S. tuberosum plants. Bayesian posterior probabilities followed by ML bootstrap values are shown at nodes.
Figure 2. Phylogenetic tree based on the combined gene sequences of ITS, GAPDH, Alt a1, TEF1, and RPB2 of strains isolated from S. tuberosum plants. Bayesian posterior probabilities followed by ML bootstrap values are shown at nodes.
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Figure 3. Combined phylogenetic ITS, GAPDH, Alt a1, TEF1 and RPB2 topology from maximum likelihood analysis of strains isolated from S. lycopersicum plants. Bayesian posterior probabilities followed by ML bootstrap values are shown at nodes.
Figure 3. Combined phylogenetic ITS, GAPDH, Alt a1, TEF1 and RPB2 topology from maximum likelihood analysis of strains isolated from S. lycopersicum plants. Bayesian posterior probabilities followed by ML bootstrap values are shown at nodes.
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Table 1. Isolates used in this study.
Table 1. Isolates used in this study.
NameStrain NumberYear of IsolationHost/SubstrateLocality of Collection Site (See Figure 1)GenBank Accession Numbers
ITSTEFRPB2GADPHAlt a 1
Alternaria grandisA16UsPL212016S. t., leaf3OM640142MN580515MN580526MN544407 MN562255
A16PrPL222016S. t., leaf3OM640143ON098332ON098335ON098326ON098329
A17VlPL41a2017S. t., leaf4OM640144ON098333ON098336ON098327ON098330
A16KhPL412016S. t., leaf2OM640145ON098334ON098337ON098328ON098331
Alternaria solaniA17SpbPL102017S. t., leaf7OM640146MN580516MN580527MN544406 MN562256
A21KrTL82021S.l., leaf11OM640147ON098290ON098292ON098286ON098288
A21MTSt32021S.l., stem12OM640148ON098291ON098293ON098287ON098289
Alternaria alternariacidaA16PrPL212016S. t., leaf3OM348531MN580518MN580529MN544404 MN562258
Alternaria protentaA16PrPL112016S. t., leaf3OM640149MN580517MN580528MN544405 MN562257
A17VlPL412017S. t., leaf4OM640150ON098306ON098312ON098294ON098300
A17KhPL512017S. t., leaf2OM640151ON098307ON098313ON098295ON098301
A16PrPL452016S. t., leaf3OM640152MN580523MN580534MN593316MN593309
A17VlPL312017S. t., leaf4OM640153MN580524MN580535MN593317MN593310
A16UsPL312016S. t., leaf3OM640154ON098308ON098314ON098296ON098302
A17VlPL512017S. t., leaf9OM640155ON098309ON098315ON098297ON098303
A16KhPL112016S. t., leaf2OM640156ON098310ON098316ON098298ON098304
A17VlPL51a2017S. t., leaf9OM640157ON098311ON098317ON098299ON098305
Alternaria linariae7AHTF 11a2017S.l., fruit5KY496637MN580520MN580531MN593313MN562260
A17AHTL 14e/22017S.l., leaf5OM640158ON135533ON135537ON135525ON135529
A18MYKTL72018S.l., leaf1OM640159ON135534ON135538ON135526ON135530
A18MYKTL18/12018S.l., leaf1OM640160ON135535ON135539ON135527ON135531
A17AHTL3a*2017S.l., leaf5OM640161ON135536ON135540ON135528ON135532
A17VlPL31a2017S. t., leaf4OM640162MN580519MN580530MN593312MN562259
A17MYKTL10/12017S.l., leaf1OM640163MN580521MN580532MN593314MN562261
A18MYKTL25/2(1)2018S.l., leaf1OM640164ON098322ON098324ON098318ON098320
A17MYKTL11/22017S.l., leaf1OM640165ON098323ON098325ON098319ON098321
A18BlTF12018S.l., fruit8OM640166MN580522MN580533MN593315MN562262
A18VTL10/22018S.l., leaf9OM640167ON149482ON149496ON149454ON149468
A16KhTL212016S.l., leaf2OM640168ON149483ON149497ON149455ON149469
A18AKTL117/72018S.l., leaf6OM640169ON149484ON149498ON149456ON149470
A20KrTL142020S.l., leaf10OM640170ON149485ON149499ON149457ON149471
A20KrTL162020S.l., leaf10OM640171ON149486ON149500ON149458ON149472
A21KrTS1.22021S.l., seed10OM640172ON149487ON149501ON149459ON149473
A21KrTL32021S.l., leaf11OM640173ON149488ON149502ON149460ON149474
A21KrTL52021S.l., leaf11OM640174ON149489ON149503ON149461ON149475
A21KrTL62021S.l., leaf11OM640175ON149490ON149504ON149462ON149476
A21KrTL102021S.l., leaf11OM640176ON149491ON149505ON149463ON149477
A21KrTS222021S.l., seed10OM640177ON149492ON149506ON149464ON149478
A21MTSt22021S.l., stem12OM640178ON149493ON149507ON149465ON149479
A21MTSt62021S.l., stem13OM640179ON149494ON149508ON149466ON149480
A21MTSt72021S.l., stem13OM640180ON149495ON149509ON149467ON149481
Table 2. Reference isolates from Solanaceus plants from Woudenberg et al., 2014 [3].
Table 2. Reference isolates from Solanaceus plants from Woudenberg et al., 2014 [3].
Current
Species Name
Old Species NameStrainHost/SubstrateLocality GenBank Accession Numbers
ITSGAPDHAlt a1TEF1RPB2
A. alternariacidaA. solaniCBS 105.51S. lyc., fruitUKKJ718105KJ717959KJ718625KJ718454 KJ718279
A. grandis CBS 109158S. tuber., leafUSAKJ718239JQ646341 JQ646425 EU130547 KJ718414
CBS 116695S. tuber., leafUSAKJ718241KJ718070 KJ718748 KJ718587 KJ718416
A. linariaeA. solaniCBS 108.53KJ718181KJ718025KJ718693KJ718529KJ718354
A. solaniCBS 107.61BelgiumKJ718182KJ718026KJ718694KJ718530KJ718355
A. tomatop-hilaCBS 109156S. lyc., leafUSAKJ718183JQ646347GQ180101KJ718531KJ718356
A. subcylin-dricaCBS 109161S. lyc., leafUSAKJ718184JQ646345JQ646429KJ718532KJ718357
A. creticaCBS 109164S. lyc., leafGreeceKJ718185JQ646342JQ646426EU130545KJ718358
A. tomatophilaCBS 116704S. lyc., leafUSAKJ718188KJ718029KJ718697KJ718535KJ718361
CPC 21620S. lyc., leafThailandKJ718189KJ718030KJ718698KJ718536KJ718362
A. nitrimali CBS 109163S. viarum leafPuerto RicoKJ718201JQ646358KJ718710KJ718547KJ71837
A. protentaA. solaniCBS 347.79S. lyc., fruitNew ZealandKJ718219KJ718054KJ718728KJ718565KJ718392
A. solaniCBS 116651S. tuber., tuberUSAKC584217KC584139GQ180097KC584688KC584430
A. solaniCBS 135189S. tuber.,New ZealandKJ718224GQ180082GQ180098KJ718570KJ718397
A. solani CBS 106.21KJ718236KJ718066KJ718743KJ718582KJ718410
CBS 111.41S. aviculare, leafKJ718237KJ718067KJ718744KJ718583KJ718411
A. danidaCBS 109157S. tuber., leafUSAKJ718238GQ180080KJ718746KJ718585KJ718413
A. solaninigriA. cyphoman-draeCBS 113403S. nigrum, leafNew ZealandKJ718243KJ718071KJ718749KJ718589KJ718418
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Kokaeva, L.Y.; Yarmeeva, M.M.; Kokaeva, Z.G.; Chudinova, E.M.; Balabko, P.N.; Elansky, S.N. Phylogenetic Study of Alternaria Potato and Tomato Pathogens in Russia. Diversity 2022, 14, 685. https://doi.org/10.3390/d14080685

AMA Style

Kokaeva LY, Yarmeeva MM, Kokaeva ZG, Chudinova EM, Balabko PN, Elansky SN. Phylogenetic Study of Alternaria Potato and Tomato Pathogens in Russia. Diversity. 2022; 14(8):685. https://doi.org/10.3390/d14080685

Chicago/Turabian Style

Kokaeva, Lyudmila Yu., Maria M. Yarmeeva, Zarema G. Kokaeva, Elena M. Chudinova, Petr N. Balabko, and Sergey N. Elansky. 2022. "Phylogenetic Study of Alternaria Potato and Tomato Pathogens in Russia" Diversity 14, no. 8: 685. https://doi.org/10.3390/d14080685

APA Style

Kokaeva, L. Y., Yarmeeva, M. M., Kokaeva, Z. G., Chudinova, E. M., Balabko, P. N., & Elansky, S. N. (2022). Phylogenetic Study of Alternaria Potato and Tomato Pathogens in Russia. Diversity, 14(8), 685. https://doi.org/10.3390/d14080685

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