Next Article in Journal
Pediatric Osteoarticular Kingella kingae Infections of the Hand and Wrist: A Retrospective Study
Previous Article in Journal
Heat-Labile Enterotoxin Decreases Macrophage Phagocytosis of Enterotoxigenic Escherichia coli
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Phylogeographic Analysis of Soft-Rot-Causing Pectobacterium spp. Strains Obtained from Cabbage in Serbia

by
Aleksandra Jelušić
1,
Marco Scortichini
2,
Sanja Marković
1,
Petar Mitrović
3,
Renata Iličić
4,
Slaviša Stanković
5 and
Tatjana Popović Milovanović
6,*
1
Institute for Multidisciplinary Research, University of Belgrade, Kneza Višeslava 1, 11030 Belgrade, Serbia
2
Council for Agronomical Research and Economics (CREA), Research Centre for Olive, Fruit and Citrus Crops, Via di Fioranello, 52, I-00134 Roma, Italy
3
Institute for Field and Vegetable Crops—National Institute of the Republic of Serbia, Maksima Gorkog 30, 21000 Novi Sad, Serbia
4
Faculty of Agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, 21000 Novi Sad, Serbia
5
Faculty of Biology, University of Belgrade, Studentski Trg 16, 11000 Belgrade, Serbia
6
Institute for Plant Protection and Environment, Teodora Drajzera 9, 11040 Belgrade, Serbia
*
Author to whom correspondence should be addressed.
Microorganisms 2023, 11(8), 2122; https://doi.org/10.3390/microorganisms11082122
Submission received: 25 July 2023 / Revised: 14 August 2023 / Accepted: 17 August 2023 / Published: 21 August 2023

Abstract

:
The aim of this study was to establish a link between genetic diversity and the geographic origin of Pectobacterium strains belonging to three species—P. carotovorum, P. versatile, and P. odoriferum—isolated from cabbage in Serbia by comparing their sequences with those of strains sourced from different hosts and countries in Europe, Asia, and North America. Phylogeographic relatedness was reconstructed using the Templeton, Crandall, and Sing’s (TCS) haplotype network based on concatenated sequences of the housekeeping genes dnaX, icdA, mdh, and proA, while pairwise genetic distances were computed by applying the p-distance model. The obtained TCS haplotype networks indicated the existence of high intra-species genetic diversity among strains of all three species, as reflected in the 0.2–2.3%, 0.2–2.5%, and 0.1–1.7% genetic distance ranges obtained for P. carotovorum, P. versatile, and P. odoriferum, respectively. Five new haplotypes (denoted as HPc1–HPc5) were detected among cabbage strains of P. carotovorum, while one new haplotype was identified for both P. versatile (HPv1) and P. odoriferum (HPo1). None of the TCS haplotype networks provided evidence of significant correlation between geographic origin and the determined haplotypes, i.e., the infection origin. However, as haplotype network results are affected by the availability of sequencing data in public databases for the used genes and the number of analyzed strains, these findings may also be influenced by small sample size.

1. Introduction

Plant pathogenic bacteria from the genus Pectobacterium (fam. Pectobacteriaceae) cause disease symptoms (e.g., soft rot, wilt, and blackleg) on a wide range of angiosperm plant species, including economically important crops (e.g., potato, tomato, cabbage) grown in geographically diverse regions (ranging from those with temperate to tropical climates) [1,2]. Their potential for long-distance dissemination is related to the ability to colonize host plants from various environmental sources, including soil, aerosols, irrigation water, groundwater, rainwater, non-host plants, and insects in the vicinity of arable land, as well as from some remote sources, such as winter mountain snow, waterfalls, rivers, seas, oceans, etc. [3]. Aside from its wide host range, the genus Pectobacterium is known for its high genetic heterogeneity, both within and between species [4]. While this aspect was previously insufficiently investigated, prompted by the development of new molecular tools and advanced techniques for assessing bacterial genetic diversity and phylogeny, the taxonomy of the genus Pectobacterium has recently received renewed research interest, resulting in the description of 20 species thus far [5,6,7].
Host adaptation/specialization, as well as horizontal gene transfer that enables Pectobacterium species to exploit distinct ecological niches and adapt to environmental changes, are considered the main drivers of their evolution [6,8]. Accordingly, comparison of their DNA sequences is the most reliable way to quantify genetic variations (e.g., single nucleotide polymorphism, haplotype structure, synonymous and non-synonymous changes, recombination events, etc.) within and between natural populations [9,10]. The findings yielded by the analysis and comparison of DNA sequences of individuals coexisting within the same population or those of different populations allow us to address additional questions regarding the ongoing microevolutionary processes related to population structure, gene flow, past demographic bottlenecks, and expansions, or geographical colonization events, etc. [11]. However, such investigations require assessment of many strains that originate from different countries and hosts. Given that changes in metabolic genes may be related to the adaptation of strains to specific environmental niches and host plants, typing and analysis of protein-coding loci (multilocus sequence typing and analysis, MLST/MLSA) can provide sufficient data for distinguishing closely related species [12,13]. Moreover, since the process required for obtaining strains from culture collections is often prohibitively expensive, and permits for some bacterial pathogens can be difficult to acquire, multilocus phylogenetic analysis can be a viable alternative, given that it exploits the information that can be derived from genomic sequences that are already deposited in the public databases [e.g., the National Center for Biotechnology Information (NCBI) database and the Plant Associated and Environmental Microbes Database (PAMDB)]. Its outcomes would improve the current understanding of phylogeographic and evolutionary patterns, which may provide insight into the transmission routes (i.e., whether outbreaks have a common source) as well as enable the reconstruction of the evolutionary history [14]. The Population Analysis with Reticulate Trees (PopART) software can use such data as input for the analysis of the available population genetic data and for constructing popular haplotype networks such as Templeton, Crandall, and Sing’s (TCS), minimum spanning networks (MSNs), and median-joining networks (MJNs), thus helping visualize intra-species genealogical relationships as well as advance our knowledge of biogeography and the history of populations [15]. The use of TCS haplotype networks for the determination of phylogeography of other soft-rot-causing bacteria (e.g., P. brasiliense and Dickeya dianthicola) was previously demonstrated in the work performed by Marković et al. [16] on strains isolated from potato in Serbia, based on concatenated sequences of four housekeeping genes (acnA, icdA, gapA, and mdh). Thus far, the TCS algorithm has been successfully applied for providing a phylogeographic insight into the population diversity of bacterial species belonging to different genera, such as Xanthomonas [17,18], Pseudomonas [19], Agrobacterium [20], Ralstonia [21], and Clavibacter [22].
In Serbia, different Pectobacterium spp.—P. atrosepticum, P. brasiliense, P. carotovorum, P. odoriferum, P. punjabense, P. zantedeschiae, and P. versatile—have been isolated from various hosts [13,16,23,24,25,26,27,28,29,30]. Three of these species (P. carotovorum, P. odoriferum, and P. versatile) were recently described as causal agents of soft rot in cabbage in this region [13]. To substantiate the findings presented in this unique report, in the present study, we aimed to conduct more extensive research on their genetic heterogeneity, as well as their spread routes and origin by performing phylogeographic analysis.

2. Materials and Methods

2.1. Sequences of the Pectobacterium spp. Strains Used for Phylogeographic Analysis

For the purpose of this investigation, the sequences of seven Pectobacterium spp. strains, namely P. carotovorum (Pc2321, Pc3821, Pc4821, Pc5421, and Pc8321), P. odoriferum (Po7521), and P. versatile (Pv6321), obtained from two cabbage hybrids [Cheers F1 (Takii Seed) and Hippo F1 (Sakata Seed)] grown in Futog (Vojvodina, Serbia) in 2021 were retrieved from the NCBI database. These seven Serbian cabbage strains were considered representative of each species based on their phenotypic and genotypic features determined previously by Jelušić et al. [13]. In order to reconstruct their phylogeographic relatedness, sequences of other 19 Pectobacterium spp. strains [P. carotovorum (ATCC 15713, 25.1, WPP14, BP201601.1, JR1.1, XP-13, and Pcc2520), P. odoriferum (BC S7, JK2.1, and CFBP 1878), and P. versatile (14A, 3-2, SCC1, F131, DSM 30169, MYP201603, SR1, SR12, and Pv1520)] obtained from different hosts (cabbage, carrot, Chinese cabbage, chicory, coleslaw, cucumber, kimchi cabbage, potato, and radish) and countries [Europe (Belarus, Denmark, Finland, France, Germany, Russia, and Serbia), Asia (China and Korea), and North America (USA)] were included in the analysis. The work performed as a part of this study is therefore a continuation of the previously conducted and published classical phylogenetic analysis based on the concatenated sequences of four housekeeping genes [dnaX (DNA polymerase III subunit tau), icdA (isocitrate dehydrogenase), mdh (malate dehydrogenase), and proA (gamma-glutamyl phosphate reductase)], for which the same tested and reference strains were used [13]. The maximal number of strains for comparative analysis was selected for each species in accordance with the availability of sequences for the four utilized housekeeping genes in the NCBI database. In the selection of genes for creating TCS haplotype networks, the appropriate sequence length and good discriminatory ability, as determined during previous work on molecular characterization of Pectobacterium spp. [13], served as the main criteria.

2.2. Phylogeographic Analysis

Phylogeographic relatedness of the Serbian cabbage strains belonging to three species—P. carotovorum, P. odoriferum, and P. versatile—was reconstructed using the TCS haplotype network [31]. TCS haplotype networks were generated for each species separately, based on partial concatenated sequences (1639 nt) of four housekeeping genes (dnaX, icdA, mdh, and proA), proposed by Sławiak et al. [32], Moleleki et al. [33], and Ma et al. [34]. Sequences were aligned using the ClustalW Multiple alignment function [35] of the BioEdit sequence alignment editor (v 7.2). Prior to the TCS network construction, DnaSP software v6 [9] was utilized to evaluate DNA polymorphism between the tested strains, as this approach allowed us to determine the maximal number of haplotypes present within tested strains isolated in different countries that served as inputs for the construction of TCS haplotype networks. As a part of the present study, the required TCS haplotype networks were generated using the TCS algorithm [36] implemented in the PopART v. 1.7 program [15]. Each circle on the TCS haplotype network represents one haplotype, while countries from which the reference strains used for comparative analysis originate are denoted by different colors. The number of hatch marks along the lines connecting haplotypes indicates the number of nucleotide differences (mutations) detected between those haplotypes. Further, the distribution of haplotypes by country/continent was graphically presented on the world map generated in the PopART program, whereby each differently colored circle signifies one haplotype.
Finally, pairwise genetic distances for the concatenated sequences of the seven tested and nineteen reference Pectobacterium spp. strains were computed in Mega software version 7.0, using the p-distance model/method. Genetic distances were computed for each species separately and standard errors (SE) were obtained by a bootstrap method with 1000 replicates.

3. Results and Discussion

Phylogeographic Analysis

The TCS haplotype network shown in Figure 1a was constructed based on the concatenated sequences of genes dnaX, icdA, mdh, and proA for the five tested Serbian P. carotovorum strains (Pc2321, Pc3821, Pc4821, Pc5421, and Pc8321) and seven reference P. carotovorum strains obtained from Belarus (25.1), Denmark (ATCC 15713), Serbia (Pcc2520), China (XP-13), Korea (BP201601.1 and JR1.1), and the USA (WPP14). As can be seen from the graph, each of the 12 tested P. carotovorum strains formed a single haplotype (designated as HPc1–HPc12). Based on their relatedness, haplotypes were divided into three major genetic clades/haplogroups (I–III) of the TCS haplotype network. Four of the six P. carotovorum strains/haplotypes placed within clade I were isolated in Europe (HPc5–HPc7, HPc9), while the remaining two were isolated in North America (HPc8) and Asia (HPc12), each exhibiting greater similarity with other clade I members relative to the strains placed into other two haplogroups (II and III). The centrally positioned haplogroup II consisted of only two Serbian P. carotovorum strains isolated from cabbage, Pc2321 (HPc1) and Pc4821 (HPc3), which are the most closely related to the ancestral vector (marked with an arrow), differing in three and two nucleotides, respectively. Finally, clade III included four P. carotovorum strains/haplotypes, two of which originated from Europe and were isolated from cabbage grown in Serbia [Pc3821 (HPc2) and Pc5421 (HPc4)], and two originated from Asia, and were isolated from radish [JR1.1 (HPc11)] in Korea and from potato in China [XP-13 (HPc10)]. As shown on the world map (Figure 1b) depicting all twelve haplotypes detected within the tested strains, six (HPc1–HPc6) were identified in Serbia, two (HPc11 and HPc12) in Korea, and one each in Denmark (HPc7), Belarus (HPc9), USA (HPc8), and China (HPc10).
The obtained TCS haplotype network clearly indicates the existence of a remarkable intra-species genetic heterogeneity within the tested and reference P. carotovorum strains. As specified above, while twelve haplotypes (HPc1–HPc12) were determined for strains originating from three continents (Europe, Asia, and North America) and from four hosts (cabbage, potato, cucumber, and radish), five of these haplotypes (HPc1–HPc5) were distinguished for the five Serbian cabbage strains (Pc2321, Pc3821, Pc4821, Pc5421, and Pc8321). The same five cabbage strains were separated into four clusters (I: Pc2321 and Pc4821, II: Pc3821, III: Pc5421, and IV: Pc8321) of the neighbor-joining phylogenetic tree previously generated by Jelušić et al. [13], thus confirming the existence of a complex population structure within the Serbian P. carotovorum strains isolated from this host. Population complexity is also reflected in the existence of four (HPc1–HPc4) P. carotovorum genotypes in a single cabbage field measuring only 0.5 hectares in size (field I—cabbage hybrid Cheers F1) [13]. However, based on the obtained TCS haplotype network, we cannot ascertain if there is a link between geographic origin and/or host of isolation and the determined haplotypes or make any assumptions regarding the infection origin. Nevertheless, it is important to emphasize that the reliability of phylogeny and haplotype networks is affected by the sample size, i.e., the number of strains included in the study, which depends on their availability in public databases as well as the choice of genes included in the research and their discriminatory ability. Despite the limitations imposed by the sample size, the obtained TCS haplotype network provides valuable information on the population structure of P. carotovorum in Serbia and other countries (Belarus, Denmark, China, Korea, and the USA) included in the analysis. Its benefit is further increased by the fact that, to the best of our knowledge, this is a pioneering study using the TCS haplotype network for exploring the phylogeography of P. carotovorum, as well as P. versatile and P. odoriferum. Thus far, only P. brasiliense strains from the Pectobacterium genus have been subjected to such analysis, which was based on a different combination of acnA, gapA, icdA, and mdh housekeeping genes [16]. The obtained findings indicate the existence of four haplotypes (PCB-1, PCB-2, PCB-3, and PCB-4) among twenty tested Serbian P. brasiliense strains from potato; however, no connection between the geographic origin and the genetic diversity was established [16]. The detection of a pronounced genetic diversity among P. carotovorum strains in this study is not surprising, given that it was previously confirmed by several authors. For instance, Gallelli et al. [37] indicated the existence of 14 haplotypes among 24 P. carotovorum strains isolated from artichoke in southern Italy (Sele valley, Campania), based on DNA profiling methods (repetitive-sequence-based PCR and M13-PCR). In the study conducted by Alvarado and colleagues, 39 tested P. carotovorum isolates collected from Chinese cabbage in north-eastern Brazil were shown to be polymorphic and were separated into 32 groups, also based on the repetitive-sequence-based PCR with REP-, ERIC-, and BOX-PCR primers [38]. According to Nabhan et al. [39], MLSA involving seven housekeeping genes (acnA, gapA, proA, icdA, mtlD, mdh, and pgi) enabled separation of sixty-three strains belonging to the P. carotovorum complex (including subspecies carotovorum, odoriferum, and brasiliensis based on earlier taxonomy), isolated from various hosts and countries, into five genetic clusters (PcI–PcV), three of which (PcI, PcII, and PcV) belonged to P. carotovorum subsp. carotovorum strains. However, these authors also failed to establish any correlation between the geographic origin and/or host affiliation and genotype [39].
The pairwise genetic distances between the tested and reference P. carotovorum strains calculated as a part of the present study shown in Table 1 provide support for the distribution of haplotypes on the TCS network. Genetic distances between the 12 compared P. carotovorum strains ranged from 0.2% (between Serbian strains Pc2321 and Pc4821 from cabbage) to 2.3% (between Serbian strains Pcc2520 and Pc3821 from potato and cabbage, respectively). Similar results were obtained for the five tested Serbian P. carotovorum strains from cabbage, as the estimated distance ranged from 0.2% (between strains Pc2321 and Pc4821) to 2.1% (between strains Pc5421 and Pc8321).
Similar findings were reported by Nabhan et al. [39], who calculated a 4.0% average genetic distance among P. carotovorum strains obtained from potato in Syria based on the sequences of seven housekeeping genes. Among all tested and reference P. carotovorum strains examined as part of the present study, Serbian strains from cabbage [Pc2321 (2.0%) and Pc4821 (2.1%)] were the most distant from the P. carotovorum type strain ATCC 15713 isolated from potato in Denmark, while the remaining three Serbian cabbage strains [Pc3821 (2.3%), Pc5421 (2.1%), and Pc8321 (1.6%)] were located furthest away from strain Pcc2520 isolated from potato in Serbia. These results confirm a highly complex and polymorphic P. carotovorum population structure in Serbia, irrespective of host type. The greatest similarity between strains Pc2321 (HPc1) and Pc4821 (HPc3) is also reflected in their grouping within the same cluster (haplogroup II) on the TCS haplotype network. Their percent identity with the strains deposited into the NCBI database ranged from 99.75% (mdh) to 100% (dnaX, icdA, or proA) depending on the used gene [13]. According to the previously performed phylogenetic analysis based on concatenated sequences [13] and the TCS network obtained in this study, cabbage strain Pc5421 (HPc4, haplogroup III) was the most closely related to the radish strain JR1.1 isolated from Korea (genetic distance 1.3%), while being the most divergent from the ancestral vector (differing in 23 nucleotides). The percent similarity of this strain with the strains deposited in the NCBI database ranged from 97.76% (proA) to 99.44% (icdA) [13]. Conversely, the strain Pc8321 (HPc5, haplogroup I) obtained from another cabbage hybrid (Hippo F1) and from another tested field (field II) was found to be the most closely related to the P. carotovorum type strain ATCC 15713 (genetic distance 0.9%). It also shared 97.91% (proA) to 100% (dnaX, icdA, and mdh) identity with the strains sourced from the NCBI database [13]. Although the P. carotovorum strains found in field II (1 ha in size) were genetically homogeneous in terms of the existence of only one haplotype (HPc5), while the remaining four (HPc1–HPc4) were detected on cabbage hybrid Cheers F1 (field I), it is important to emphasize that this cabbage hybrid harbored three pathogenic Pectobacterium spp. (P. carotovorum, P. versatile, and P. odoriferum) [13].
Figure 2a shows the TCS haplotype network generated for the 10 P. versatile strains [tested (Pv6321) and reference strains (14A, 3-2, SCC1, F131, DSM 30169, MYP201603, SR1, SR12, and Pv1520)]. These strains were separated into ten haplotypes (designated as HPv1–HPv10) that formed two clades/haplogroups (I and II) within the TCS network. The tested Serbian P. versatile strain Pv6321 (HPv1) from cabbage was placed within the haplogroup I, together with the five reference P. versatile strains, three of which were isolated from potato in Belarus (3-2, HPv5), Russia (F131, HPv7), and Korea (MYP201603, HPv8), one from cabbage in Germany (DSM 30169, HPv6), and one from carrot in the USA (SR1, HPv9). The P. versatile strain isolated from potato in Serbia (Pv1520, HPv2) was placed in haplogroup II with the strains isolated from potato in Finland (SCC1, HPv3) and Belarus (14A, HPv4), as well as from coleslaw in the USA (SR12, HPv10). Based on the presented world map (Figure 2b), two haplotypes were detected in Serbia (HPv1 and HPv2), Belarus (HPv4 and HPv5), and the USA (HPv9 and HPv10), while one haplotype was detected in Finland (HPv3), Germany (HPv6), Russia (HPv7), and Korea (HPv8).
Similar to the results reported for P. carotovorum strains, Serbian P. versatile cabbage strain Pv6321 formed a new haplotype (HPv1), which markedly differed from the haplotypes (HPv2–HPv10) detected for the reference P. versatile strains. As can be seen from Table 2, this strain was the most closely related to the German strain DSM 30169, which also originated from cabbage, differing in five nucleotides (p-distance 0.2%). With the exception of this relationship, the TCS network did not indicate any type of phylogeographic correlation between the tested and reference P. versatile strains. On the other hand, based on the calculated pairwise genetic distances, P. versatile strain Pv6321 was the most distant (differing in 39 nucleotides, p-distance 1.9%) from the strain MYP201603 isolated from potato in Korea (Table 2).
The results yielded by examining the TCS haplotype network generated as a part of this study are in accordance with the phylogenetic tree previously obtained by Jelušić et al. [13]. The detection of 10 haplotypes for P. versatile strains with genetic distances ranging from 0.2% to 2.5% (Table 2) is indicative of a pronounced genetic polymorphism within the P. versatile species. In accordance with the number of strains from the three continents included in the comparison, seven P. versatile haplotypes were detected in Europe (HPv1–HPv7), two in the USA (HPv9 and HPv10), and one in Asia (HPv8). However, these results are completely dependent on the sample size, which is affected by (i) the number of publicly available strains (which can be limited due to the recent description of certain species), as well as (ii) the number and (iii) the combination of genes included in the comparison. Nonetheless, they concur with the report published by Ma and colleagues on a complex population structure of P. versatile in the northeastern United States based on the dnaX gene sequences [40]. The same authors indicated a much greater prevalence of P. versatile compared to other Pectobacterium spp. identified in this region, and ascribed this disparity to its better fitness and thus greater resilience to environmental conditions and/or cultivar characteristics. Given that P. versatile was recently described as a pathogen on cabbage in Serbia [13] and that no information regarding its geographic origin is currently available, it can be speculated that this species diverged over time from the dominant P. carotovorum populations through the accumulation of mutations as a result of the section pressure related to host, cultivar, or other pertinent factors. It is context, it is also worth noting that Park et al. [41] characterized the new P. versatile strain KNUB-02-21 on kimchi cabbage in Korea based on genes dnaX, leuS, and recA. These authors pointed to the existence of intra-species genetic heterogeneity among P. versatile strains (tested and reference), revealing three different genotypes among five compared strains. Based on three housekeeping genes (dnaX, leuS, and gapA), eight P. versatile strains isolated from cabbage (CaKh26, CaKh54, CaKh77, and CaKh83) and potato (PH35, PH47, PH62, and PH75) in Iran were divided into two clusters within the phylogenetic tree, each corresponding to one host [42].
As can be seen from Figure 3a, four detected haplotypes (designated as HPo1–HPo4) of the four tested (Po7521) and reference (BC S7, JK2.1, and CFBP 1878) P. odoriferum strains were divided within the TCS haplotype network into three clades/haplogroups (I–III) in relation to the ancestral vector (marked with an arrow), which occupied a central position. The Serbian P. odoriferum strain from cabbage Po7521 (HPo1) was placed within clade II, together with the type P. odoriferum strain CFBP 1878 (HPo2) isolated from chicory in France, from which it differed in one nucleotide only. Haplotypes of the reference P. odoriferum strains from Asia, isolated in Korea (JK2.1, HPo3) and China (BC S7, HPo4), were placed in clade II and III, respectively. Strain Po7521 differed from the ancestral vector in two nucleotides, while having only one different nucleotide relative to strains CFBP 1878 and BC S7. On the other hand, the strain JK2.1 differed from the ancestral vector in 26 nucleotides. In summary, as shown on the world map (Figure 3b), one haplotype was detected in each country—Serbia (HPo1), France (HPo2), Korea (HPo3), and China (HPo4).
Based on the TCS haplotype network constructed with tested and reference strains, a new haplotype of P. odoriferum (HPo1) was determined for the Serbian cabbage strain Po7521. The observed haplotype was the most similar to one of the P. odoriferum type strains [CFBP 1878 (HPo2)] isolated from chicory in France, differing in only one nucleotide (p-distance 0.1%, Table 3). On the other hand, it differed the most (in 28 nucleotides, Figure 3a) from the strain JK2.1 obtained from kimchi cabbage in Korea (p-distance 1.7%, Table 3). According to Jelušić et al. [13], the percent identity of Po7521 with the strains sourced from the NCBI database ranged from 99.57% (proA) to 100% (icdA and mdh), depending on the considered gene.
Once again, no correlation between geographic origin and/or the host of isolation could be established based on the constructed TCS network. These findings are supported by those reported by Oskiera et al., who determined the existence of intra-species genetic heterogeneity among P. carotovorum subsp. odoriferum strains isolated from cabbage and Chinese cabbage in Poland based on BOX- and ERIC-PCR, showing three and four distinct DNA fingerprinting patterns, respectively [43]. The genetic polymorphism among these strains was further confirmed based on the sequences of the 16S rRNA gene and five housekeeping genes (gyrB, infB, rpoB, atpD, and rpoS) [43].
Even though the TCS analysis performed in the present study focused on P. odoriferum and incorporated only a few strains, due to the recent description of this species and the scarcity of publicly available genomic data, the results reported in this work undoubtedly shed light on the issue of the phylogeography of the Pectobacterium genus. They also allow us to speculate that the two recently isolated species, P. versatile and P. odoriferum, could have been previously present on cabbage in Serbia, but due to their recent description and separation from the P. carotovorum group, they were not established in previous studies. We further posit that the observed intra-species genetic heterogeneity among cabbage strains might have arisen during the dynamic remodeling of genome content (gain, loss, duplication, and transfer of genes) which would have accelerated the evolution of the genus Pectobacterium [44].

4. Conclusions

TCS haplotype networks comprising sequences of P. carotovorum, P. versatile, and P. odoriferum strains isolated from cabbage in Serbia indicate high intra-species diversity among all three bacterial species. The results yielded by this study reveal five new haplotypes among P. carotovorum strains (HPc1–HPc5) and one new haplotype for both the P. versatile (HPv1) and P. odoriferum (HPo1) strains. These results provide further evidence of the usefulness of this approach in revealing closely related but different bacterial lineages that belong to the same species and that have been isolated from the same host plant in the same country. However, none of the TCS haplotype networks showed a correlation between geographic origin and the determined haplotypes among analyzed cabbage Pectobacterium strains.

Author Contributions

Conceptualization, A.J. and T.P.M.; methodology, A.J. and S.M.; software, A.J. and S.M.; validation, A.J., S.M. and R.I.; formal analysis, A.J.; investigation, A.J. and T.P.M.; resources, A.J., P.M. and T.P.M.; data curation, A.J. and T.P.M.; writing—original draft preparation, A.J., T.P.M., M.S., R.I. and S.S.; writing—review and editing, A.J., T.P.M., M.S., R.I. and S.S.; visualization, A.J., T.P.M., M.S., R.I., S.S., P.M. and S.M.; supervision, T.P.M. and M.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Not applicable.

Acknowledgments

This research was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia, contract Nos. 451-03-47/2023-01/200053, 451-03-47/2023-01/200032, 451-03-47/2023-01/200117, 451-03-47/2023-01/200178, and 451-03-47/2023-01/200010.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Reverchon, S.; Muskhelisvili, G.; Nasser, W. Virulence program of a bacterial plant pathogen: The Dickeya model. Prog. Mol. Biol. Transl. Sci. 2016, 142, 51–92. [Google Scholar] [CrossRef] [PubMed]
  2. Amir, R.; Maqsood, W.; Munir, F.; Fatima, N.; Siddiqa, A.; Ahmad, J. Pan-genomics of plant pathogens and its applications. In Pan-Genomics: Applications, Challenges, and Future Prospects; Barh, D., Soares, S., Tiwari, S., Azevedo, V., Eds.; Academic Press: Cambridge, MA, USA, 2020; pp. 121–145. [Google Scholar] [CrossRef]
  3. Toth, I.K.; Barny, M.; Brurberg, M.B.; Condemine, G.; Czajkowski, R.; Elphinstone, J.G.; Helias, V.; Johnson, S.B.; Moleleki, L.N.; Pirhonen, M.; et al. Pectobacterium and Dickeya: Environment to disease development. In Plant Diseases Caused by Dickeya and Pectobacterium Species; Van Gijsegem, F., van der Wolf, J.M., Toth, I.K., Eds.; Springer: Cham, Switzerland, 2021; pp. 39–84. [Google Scholar] [CrossRef]
  4. Xu, P.; Wang, H.; Qin, C.; Li, Z.; Lin, C.; Liu, W.; Miao, W. Analysis of the taxonomy and pathogenic factors of Pectobacterium aroidearum L6 using whole-genome sequencing and comparative genomics. Front. Microbiol. 2021, 12, 679102. [Google Scholar] [CrossRef] [PubMed]
  5. Pasanen, M.; Waleron, M.; Schott, T.; Cleenwerck, I.; Misztak, A.; Waleron, K.; Pritchard, L.; Bakr, R.; Degefu, Y.; van der Wolf, J.; et al. Pectobacterium parvum sp. nov., having a Salmonella SPI-1-like Type III secretion system and low virulence. Int. J. Syst. Evol. Microbiol. 2020, 70, 2440–2448. [Google Scholar] [CrossRef] [PubMed]
  6. Jonkheer, E.M.; Brankovics, B.; Houwers, I.M.; van der Wolf, J.M.; Bonants, P.J.; Vreeburg, R.A.; Bollema, R.; de Haan, J.R.; Berke, L.; Smit, S.; et al. The Pectobacterium pangenome, with a focus on Pectobacterium brasiliense, shows a robust core and extensive exchange of genes from a shared gene pool. BMC Genom. 2021, 22, 265. [Google Scholar] [CrossRef] [PubMed]
  7. Zhou, J.; Hu, M.; Hu, A.; Li, C.; Ren, X.; Tao, M.; Xue, Y.; Chen, S.; Tang, C.; Xu, Y.; et al. Isolation and genome analysis of Pectobacterium colocasium sp. nov. and Pectobacterium aroidearum, two new pathogens of taro. Front. Plant Sci. 2022, 13, 852750. [Google Scholar] [CrossRef]
  8. Khadka, N.; Joshi, J.R.; Reznik, N.; Chriker, N.; Nudel, A.; Zelinger, E.; Kerem, Z.; Yedidia, I. Host specificity and differential pathogenicity of Pectobacterium strains from dicot and monocot hosts. Microorganisms 2020, 8, 1479. [Google Scholar] [CrossRef]
  9. Rozas, J.; Rozas, R. DnaSP, DNA sequence polymorphism: An interactive program for estimating population genetics parameters from DNA sequence data. Bioinformatics 1995, 11, 621–625. [Google Scholar] [CrossRef]
  10. Rozas, J.; Sánchez-DelBarrio, J.C.; Messeguer, X.; Rozas, R. DnaSP, DNA polymorphism analyses by the coalescent and other methods. Bioinformatics 2003, 19, 2496–2497. [Google Scholar] [CrossRef]
  11. Paradis, E. Analysis of haplotype networks: The randomized minimum spanning tree method. Methods Ecol. Evol. 2018, 9, 1308–1317. [Google Scholar] [CrossRef]
  12. Nabhan, S.; De Boer, S.H.; Maiss, E.; Wydra, K. Taxonomic relatedness between Pectobacterium carotovorum subsp. carotovorum, Pectobacterium carotovorum subsp. odoriferum and Pectobacterium carotovorum subsp. brasiliense subsp. nov. J. Appl. Microbiol. 2012, 113, 904–913. [Google Scholar] [CrossRef]
  13. Jelušić, A.; Mitrović, P.; Marković, S.; Iličić, R.; Milovanović, P.; Stanković, S.; Popović Milovanović, T. Diversity of Bacterial Soft Rot-Causing Pectobacterium Species Affecting Cabbage in Serbia. Microorganisms 2023, 11, 335. [Google Scholar] [CrossRef] [PubMed]
  14. Achtman, M. Evolution, population structure, and phylogeography of genetically monomorphic bacterial pathogens. Annu. Rev. Microbiol. 2008, 62, 53–70. [Google Scholar] [CrossRef] [PubMed]
  15. Leigh, J.W.; Bryant, D. POPART: Full-feature software for haplotype network construction. Methods Ecol. Evol. 2015, 6, 1110–1116. [Google Scholar] [CrossRef]
  16. Marković, S.; Stanković, S.; Jelušić, A.; Iličić, R.; Kosovac, A.; Poštić, D.; Popović, T. Occurrence and Identification of Pectobacterium carotovorum subsp. brasiliensis and Dickeya dianthicola Causing Blackleg in some Potato Fields in Serbia. Plant Dis. 2021, 105, 1080–1090. [Google Scholar] [CrossRef]
  17. Khojasteh, M.; Taghavi, S.M.; Khodaygan, P.; Hamzehzarghani, H.; Chen, G.; Bragard, C.; Koebnik, R.; Osdaghi, E. Molecular typing reveals high genetic diversity of Xanthomonas translucens strains infecting small-grain cereals in Iran. Appl. Environ. Microbiol. 2019, 85, e01518-19. [Google Scholar] [CrossRef]
  18. Iličić, R.; Jelušić, A.; Milovanović, P.; Stanković, S.; Zečević, K.; Stanisavljević, R.; Popović, T. Characterization of Xanthomonas arboricola pv. pruni from Prunus spp. orchards in Western Balkans. Plant Pathol. 2023, 72, 290–299. [Google Scholar] [CrossRef]
  19. Ilicić, R.; Popović, T.; Marković, S.; Jelušić, A.; Bagi, F.; Vlajic, S.; Stanković, S. Genetic diversity of Pseudomonas syringae pv. syringae isolated from sweet cherry in southern and northern regions in Serbia. Genetika 2021, 53, 247–262. [Google Scholar] [CrossRef]
  20. Mafakheri, H.; Taghavi, S.M.; Puławska, J.; de Lajudie, P.; Lassalle, F.; Osdaghi, E. Two novel genomospecies in the Agrobacterium tumefaciens species complex associated with rose crown gall. Phytopathology 2019, 109, 1859–1868. [Google Scholar] [CrossRef]
  21. Marković, S.; Stanković, S.; Iličić, R.; Veljović Jovanović, S.; Milić Komić, S.; Jelušić, A.; Popović, T. Ralstonia solanacearum as a potato pathogen in Serbia: Characterization of strains and influence on peroxidase activity in tubers. Plant Pathol. 2021, 70, 1945–1959. [Google Scholar] [CrossRef]
  22. Ansari, M.; Taghavi, S.M.; Hamzehzarghani, H.; Valenzuela, M.; Siri, M.I.; Osdaghi, E. Multiple introductions of tomato pathogen Clavibacter michiganensis subsp. michiganensis into Iran as revealed by a global-scale phylogeographic analysis. Appl. Environ. Microbiol. 2019, 85, e02098-19. [Google Scholar] [CrossRef]
  23. Waleron, M.; Misztak, A.; Waleron, M.; Franczuk, M.; Jońca, J.; Wielgomas, B.; Mikiciński, A.; Popović, T.; Waleron, K. Pectobacterium zantedeschiae sp. nov. a new species of a soft rot pathogen isolated from Calla lily (Zantedeschia spp.). Syst. Appl. Microbiol. 2019, 42, 275–283. [Google Scholar] [CrossRef] [PubMed]
  24. Marković, S.; Milić Komić, S.; Jelušić, A.; Iličić, R.; Bagi, F.; Stanković, S.; Popović, T. First report of Pectobacterium versatile causing blackleg of potato in Serbia. Plant Dis. 2022, 106, 312. [Google Scholar] [CrossRef] [PubMed]
  25. Gavrilović, V.; Obradović, A.; Arsenijević, M. Bacterial soft rot of carrot, parsley and celery. In Plant Pathogenic Bacteria; De Boer, S.H., Ed.; Springer: Dordrecht, The Netherlands, 2001; pp. 269–271. [Google Scholar]
  26. Gašić, K.; Gavrilović, V.; Dolovac, N.; Trkulja, N.; Živković, S.; Ristić, D.; Obradović, A. Pectobacterium carotovorum subsp. carotovorum-the causal agent of broccoli soft rot in Serbia. Pestic. Phytomedicine 2014, 29, 249–255. [Google Scholar] [CrossRef]
  27. Popović, T.; Jelušić, A.; Milovanović, P.; Janjatović, S.; Budnar, M.; Dimkić, I.; Stanković, S. First report of Pectobacterium atrosepticum, causing bacterial soft rot on calla lily in Serbia. Plant Dis. 2017, 101, 2145. [Google Scholar] [CrossRef]
  28. Zlatković, N.; Prokić, A.; Gašić, K.; Kuzmanović, N.; Ivanović, M.; Obradović, A. First report of Pectobacterium carotovorum subsp. brasiliense causing soft rot on squash and watermelon in Serbia. Plant Dis. 2019, 103, 2667. [Google Scholar] [CrossRef]
  29. Loc, M.; Milošević, D.; Ivanović, Ž.; Ignjatov, M.; Budakov, D.; Grahovac, J.; Grahovac, M. Genetic Diversity of Pectobacterium spp. on Potato in Serbia. Microorganisms 2022, 10, 1840. [Google Scholar] [CrossRef]
  30. Loc, M.; Milošević, D.; Ignjatov, M.; Ivanović, Ž.; Budakov, D.; Grahovac, J.; Vlajkov, V.; Pajčin, I.; Grahovac, M. First report of Pectobacterium punjabense causing potato soft rot and blackleg in Serbia. Plant Dis. 2022, 106, 1513. [Google Scholar] [CrossRef]
  31. Templeton, A.R.; Crandall, K.A.; Sing, C.F. A cladistic analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping and DNA sequence data. III. Cladogram estimation. Genetics 1992, 132, 619–633. [Google Scholar] [CrossRef]
  32. Sławiak, M.; van Beckhoven, J.R.; Speksnijder, A.G.; Czajkowski, R.; Grabe, G.; van der Wolf, J.M. Biochemical and genetical analysis reveal a new clade of biovar 3 Dickeya spp. strains isolated from potato in Europe. Eur. J. Plant Pathol. 2009, 125, 245–261. [Google Scholar] [CrossRef]
  33. Moleleki, L.N.; Onkendi, E.M.; Mongae, A.; Kubheka, G.C. Characterisation of Pectobacterium wasabiae causing blackleg and soft rot diseases in South Africa. Eur. J. Plant Pathol. 2013, 135, 279–288. [Google Scholar] [CrossRef]
  34. Ma, B.; Hibbing, M.E.; Kim, H.S.; Reedy, R.M.; Yedidia, I.; Breuer, J.; Charkowski, A.O. Host range and molecular phylogenies of the soft rot enterobacterial genera Pectobacterium and Dickeya. Phytopathology 2007, 97, 1150–1163. [Google Scholar] [CrossRef] [PubMed]
  35. Thompson, J.D.; Higgins, D.G.; Gibson, T.J. CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994, 22, 4673–4680. [Google Scholar] [CrossRef] [PubMed]
  36. Clement, M.; Posada, D.C.K.A.; Crandall, K.A. TCS: A computer program to estimate gene genealogies. Mol. Ecol. 2000, 9, 1657–1659. [Google Scholar] [CrossRef]
  37. Gallelli, A.; Galli, M.; De Simone, D.; Zaccardelli, M.; Loreti, S. Phenotypic and genetic variability of Pectobacterium carotovorum isolated from artichoke in the Sele valley. J. Plant Pathol. 2009, 91, 757–761. [Google Scholar]
  38. Alvarado, I.C.M.; Michereff, S.J.; Mariano, R.L.R.; Souza, E.B.; Quezado-Duval, A.M.; Resende, L.V.; Cardoso, E.; Mizubuti, E.S.G. Characterization and Variability of Soft Rot-Causing Bacteria in Chinese Cabbage in North Eastern Brazil. J. Plant Pathol. 2011, 93, 173–181. [Google Scholar]
  39. Nabhan, S.; Wydra, K.; Linde, M.; Debener, T. The use of two complementary DNA assays, AFLP and MLSA, for epidemic and phylogenetic studies of pectolytic enterobacterial strains with focus on the heterogeneous species Pectobacterium carotovorum. Plant Pathol. 2012, 61, 498–508. [Google Scholar] [CrossRef]
  40. Ma, X.; Stodghill, P.; Gao, M.; Perry, K.L.; Swingle, B. Identification of Pectobacterium versatile causing blackleg of potato in New York State. Plant Dis. 2021, 105, 2585–2594. [Google Scholar] [CrossRef]
  41. Park, K.T.; Hong, S.M.; Back, C.G.; Cho, Y.J.; Lee, S.Y.; Ten, L.N.; Jung, H.Y. First Report of Pectobacterium versatile as the Causal Pathogen of Soft Rot in Kimchi Cabbage in Korea. Res. Plant Dis. 2023, 29, 72–78. [Google Scholar] [CrossRef]
  42. Parvin, S.M.R.; Taghavi, S.M.; Osdaghi, E. Field surveys indicate taxonomically diverse Pectobacterium species inducing soft rot of vegetables and annual crops in Iran. Plant Pathol. 2023, 72, 1260–1271. [Google Scholar] [CrossRef]
  43. Oskiera, M.; Kałużna, M.; Kowalska, B.; Smolińska, U. Pectobacterium carotovorum subsp. odoriferum on cabbage and Chinese cabbage: Identification, characterization and taxonomic relatedness of bacterial soft rot causal agents. J. Plant Pathol. 2017, 1, 149–160. [Google Scholar]
  44. Arizala, D.; Arif, M. Genome-wide analyses revealed remarkable heterogeneity in pathogenicity determinants, antimicrobial compounds, and CRISPR-cas systems of complex phytopathogenic genus Pectobacterium. Pathogens 2019, 8, 247. [Google Scholar] [CrossRef] [PubMed]
Figure 1. (a) Templeton, Crandall, and Sing’s (TCS) haplotype network showing the phylogeographic position of the five tested Serbian P. carotovorum strains (Pc2321, Pc3821, Pc4821, Pc5421, and Pc8321) and seven reference P. carotovorum strains (ATCC 15713, 25.1, WPP14, BP201601.1, JR1.1, XP-13, and Pcc2520). Different colors on the TCS network represent countries in which the tested/reference strains were isolated. The number of hatch marks reflects the number of nucleotide differences detected between haplotypes, while the arrow points to an ancestral genotype; (b) World map showing the distribution of the 12 detected haplotypes (HPc1–HPc12) of the tested and reference P. carotovorum strains by country.
Figure 1. (a) Templeton, Crandall, and Sing’s (TCS) haplotype network showing the phylogeographic position of the five tested Serbian P. carotovorum strains (Pc2321, Pc3821, Pc4821, Pc5421, and Pc8321) and seven reference P. carotovorum strains (ATCC 15713, 25.1, WPP14, BP201601.1, JR1.1, XP-13, and Pcc2520). Different colors on the TCS network represent countries in which the tested/reference strains were isolated. The number of hatch marks reflects the number of nucleotide differences detected between haplotypes, while the arrow points to an ancestral genotype; (b) World map showing the distribution of the 12 detected haplotypes (HPc1–HPc12) of the tested and reference P. carotovorum strains by country.
Microorganisms 11 02122 g001
Figure 2. (a) Templeton, Crandall, and Sing’s (TCS) haplotype network showing phylogeographic position of one tested Serbian P. versatile (Pv6321) strain and nine reference P. versatile strains (14A, 3-2, SCC1, F131, DSM 30169, MYP201603, SR1, SR12, and Pv1520). Different colors on the TCS network represent countries in which the tested/reference strains were isolated. The number of hatch marks reflects the number of nucleotide differences detected between haplotypes; (b) World map showing the distribution of the 10 detected haplotypes (HPv1–HPc10) of the tested and reference P. versatile strains by country.
Figure 2. (a) Templeton, Crandall, and Sing’s (TCS) haplotype network showing phylogeographic position of one tested Serbian P. versatile (Pv6321) strain and nine reference P. versatile strains (14A, 3-2, SCC1, F131, DSM 30169, MYP201603, SR1, SR12, and Pv1520). Different colors on the TCS network represent countries in which the tested/reference strains were isolated. The number of hatch marks reflects the number of nucleotide differences detected between haplotypes; (b) World map showing the distribution of the 10 detected haplotypes (HPv1–HPc10) of the tested and reference P. versatile strains by country.
Microorganisms 11 02122 g002
Figure 3. (a) Templeton, Crandall, and Sing’s (TCS) haplotype network showing the phylogeographic position of one tested Serbian P. odoriferum (Po7521) strain and three reference P. odoriferum strains (BC S7, JK2.1, and CFBP 1878). Different colors on the TCS network represent countries in which the tested/reference strains were isolated. The number of hatch marks denotes the number of nucleotide differences detected between haplotypes, while the arrow points to an ancestral genotype; (b) World map showing the distribution of the four detected haplotypes (HPo1–HPo4) of the tested and reference P. odoriferum strains by country.
Figure 3. (a) Templeton, Crandall, and Sing’s (TCS) haplotype network showing the phylogeographic position of one tested Serbian P. odoriferum (Po7521) strain and three reference P. odoriferum strains (BC S7, JK2.1, and CFBP 1878). Different colors on the TCS network represent countries in which the tested/reference strains were isolated. The number of hatch marks denotes the number of nucleotide differences detected between haplotypes, while the arrow points to an ancestral genotype; (b) World map showing the distribution of the four detected haplotypes (HPo1–HPo4) of the tested and reference P. odoriferum strains by country.
Microorganisms 11 02122 g003
Table 1. Pairwise genetic distances (p-distance model/method) and standard errors (SE) between tested and reference P. carotovorum strains, calculated based on the partial concatenated sequences of genes dnaX, icdA, mdh, and proA.
Table 1. Pairwise genetic distances (p-distance model/method) and standard errors (SE) between tested and reference P. carotovorum strains, calculated based on the partial concatenated sequences of genes dnaX, icdA, mdh, and proA.
P. carotovorum Strainsp-Distance/SE *
123456789101112
1. Pc2321 0.0030.0010.0030.0030.0030.0040.0030.0030.0020.0030.002
2. Pc38210.015 0.0030.0030.0030.0040.0030.0030.0030.0020.0030.003
3. Pc48210.0020.014 0.0030.0030.0030.0040.0030.0030.0020.0030.002
4. Pc54210.0160.0150.015 0.0040.0040.0040.0040.0030.0030.0030.004
5. Pc83210.0150.0150.0150.021 0.0030.0020.0020.0030.0030.0030.003
6. Pcc25200.0160.0230.0160.0210.016 0.0040.0030.0020.0030.0030.002
7. ATCC 157130.0210.0200.0200.0200.0090.020 0.0030.0030.0030.0030.003
8. WPP140.0150.0130.0140.0180.0050.0150.013 0.0030.0030.0030.003
9. 25.10.0190.0190.0180.0180.0130.0090.0180.014 0.0030.0030.003
10. XP-130.0110.0090.0100.0150.0140.0200.0170.0120.021 0.0030.003
11. JR1.10.0120.0130.0120.0130.0150.0200.0170.0150.0190.015 0.003
12. BP201601.10.0090.0160.0090.0200.0120.0100.0150.0120.0120.0160.015
* Standard Error.
Table 2. Pairwise genetic distances (p-distance model/method) and standard errors (SE) between tested and reference P. versatile strains, calculated based on the partial concatenated sequences of genes dnaX, icdA, mdh, and proA.
Table 2. Pairwise genetic distances (p-distance model/method) and standard errors (SE) between tested and reference P. versatile strains, calculated based on the partial concatenated sequences of genes dnaX, icdA, mdh, and proA.
P. versatile Strainsp-Distance/SE *
12345678910
1. Pv6321 0.0030.0030.0010.0040.0030.0030.0030.0030.003
2. Pv15200.016 0.0020.0030.0030.0040.0030.0030.0010.003
3. F1310.0130.004 0.0030.0030.0040.0030.0030.0010.003
4. DSM 301690.0020.0150.013 0.0040.0030.0030.0030.0030.003
5. MYP2016030.0190.0120.0100.019 0.0040.0040.0040.0030.003
6. SR10.0180.0200.0230.0170.023 0.0040.0030.0040.003
7. SR120.0180.0150.0140.0160.0220.025 0.0030.0030.003
8. 14A0.0160.0150.0150.0150.0210.0210.013 0.0030.004
9. SCC10.0150.0020.0030.0130.0130.0220.0130.014 0.003
10. 3-20.0150.0150.0150.0120.0200.0170.0190.0210.016
* Standard Error.
Table 3. Pairwise genetic distances (p-distance model/method) and standard errors (SE) between tested and reference P. odoriferum strains, calculated based on the partial concatenated sequences of genes dnaX, icdA, mdh, and proA.
Table 3. Pairwise genetic distances (p-distance model/method) and standard errors (SE) between tested and reference P. odoriferum strains, calculated based on the partial concatenated sequences of genes dnaX, icdA, mdh, and proA.
P. odoriferum Strainsp-Distance/SE *
1234
1. Po7521 0.0010.0040.001
2. BC S70.002 0.0030.001
3. JK2.10.0170.016 0.003
4. CFBP18780.0010.0010.016
* Standard Error.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Jelušić, A.; Scortichini, M.; Marković, S.; Mitrović, P.; Iličić, R.; Stanković, S.; Popović Milovanović, T. Phylogeographic Analysis of Soft-Rot-Causing Pectobacterium spp. Strains Obtained from Cabbage in Serbia. Microorganisms 2023, 11, 2122. https://doi.org/10.3390/microorganisms11082122

AMA Style

Jelušić A, Scortichini M, Marković S, Mitrović P, Iličić R, Stanković S, Popović Milovanović T. Phylogeographic Analysis of Soft-Rot-Causing Pectobacterium spp. Strains Obtained from Cabbage in Serbia. Microorganisms. 2023; 11(8):2122. https://doi.org/10.3390/microorganisms11082122

Chicago/Turabian Style

Jelušić, Aleksandra, Marco Scortichini, Sanja Marković, Petar Mitrović, Renata Iličić, Slaviša Stanković, and Tatjana Popović Milovanović. 2023. "Phylogeographic Analysis of Soft-Rot-Causing Pectobacterium spp. Strains Obtained from Cabbage in Serbia" Microorganisms 11, no. 8: 2122. https://doi.org/10.3390/microorganisms11082122

APA Style

Jelušić, A., Scortichini, M., Marković, S., Mitrović, P., Iličić, R., Stanković, S., & Popović Milovanović, T. (2023). Phylogeographic Analysis of Soft-Rot-Causing Pectobacterium spp. Strains Obtained from Cabbage in Serbia. Microorganisms, 11(8), 2122. https://doi.org/10.3390/microorganisms11082122

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop