Literature DB >> 25127255

Diversity of bacteria carried by pinewood nematode in USA and phylogenetic comparison with isolates from other countries.

Diogo Neves Proença1, Luís Fonseca1, Thomas O Powers2, Isabel M O Abrantes3, Paula V Morais3.   

Abstract

Pine wilt disease (PWD) is native to North America and has spread to Asia and Europe. Lately, mutualistic relationship has been suggested between the pinewood nematode (PWN), Bursaphelenchus xylophilus the causal nematode agent of PWD, and bacteria. In countries where PWN occurs, nematodes from diseased trees were reported to carry bacteria from several genera. However no data exists for the United States. The objective of this study was to evaluate the diversity of the bacterial community carried by B. xylophilus, isolated from different Pinus spp. with PWD in Nebraska, United States. The bacteria carried by PWN belonged to Gammaproteobacteria (79.9%), Betaproteobacteria (11.7%), Bacilli (5.0%), Alphaproteobacteria (1.7%) and Flavobacteriia (1.7%). Strains from the genera Chryseobacterium and Pigmentiphaga were found associated with the nematode for the first time. These results were compared to results from similar studies conducted from other countries of three continents in order to assess the diversity of bacteria with associated with PWN. The isolates from the United States, Portugal and China belonged to 25 different genera and only strains from the genus Pseudomonas were found in nematodes from all countries. The strains from China were closely related to P. fluorescens and the strains isolated from Portugal and USA were phylogenetically related to P. mohnii and P. lutea. Nematodes from the different countries are associated with bacteria of different species, not supporting a relationship between PWN with a particular bacterial species. Moreover, the diversity of the bacteria carried by the pinewood nematode seems to be related to the geographic area and the Pinus species. The roles these bacteria play within the pine trees or when associated with the nematodes, might be independent of the presence of the nematode in the tree and only related on the bacteria's relationship with the tree.

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Year:  2014        PMID: 25127255      PMCID: PMC4134288          DOI: 10.1371/journal.pone.0105190

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Pine Wilt Disease (PWD) is caused by the pinewood nematode (PWN), Bursaphelenchus xylophilus, first described in the USA as Aphelenchoides xylophilus and again, as B. lignicolus, when determined to be the causal agent of pine wilt disease in Japan and finally as B. xylophilus by Nickle and collaborators.[1]. Until now, is the only known causal agent of pine wilt disease. B. xylophilus is Native to North America (USA and Canada), it was introduced to Japan at the beginning of 20th century and it has spread to China, Korea, Taiwan and recently to Europe (Portugal and Spain) [2]. PWN is causing one of the most devastating diseases in genus Pinus and has caused environmental and economic losses totaling multi-million US dollars around world [3]. The susceptible tree hosts to PWN are mainly conifers of the genus Pinus, with Pinus-species differing between geographical locations, such as P. bunjeana, P. densiflora, P. luchuensis, P. massoniana and P. thunbergii for Far Eastern countries and P. nigra, P. sylvestris and P. pinaster for European species [4]. In Portugal, P. pinaster is the only species known to be susceptible to PWN [5]. The transmission of B. xylophilus from tree to tree is accomplished by insect vectors of the genus Monochamus primarily, during the feeding. Different strategies have been used to address the challenge of PWD [6], [7]. The role of the endophytic bacterial community in pine trees have been studied [8]–[12] since the presence of endophytes [13] in plant tissues has been recognized as relevant for the trees [14], [15]. Some studies have indicated that bacteria may play a role in PWD [8], [16]–[19]. In different countries affected by PWD, different bacterial genera have been isolated associated with B. xylophilus. In Japan, strains from the genus Bacillus [20] and from the genus Pseudomonas [21] were identified to be associated with PWN. Moreover, researchers in China isolated strains from different genera which the most frequently isolated genus was Pseudomonas [16], [22]–[24]. In Republic of Korea, the bacterial genus associated to PWN found in common with China was Serratia [25]. Recently, it was shown that in Portugal bacteria associated with PWN were mainly belonging to the genera Pseudomonas, Burkholderia, and to the family Enterobacteriaceae [8], [26]. Others suggested that bacteria, carried by the PWN, are phytotoxin producers and interact with the nematode. If true, this may presumably result from a long-term co-evolution between the nematode and the bacteria [22], [27]. The methodologies used to identify the bacterial isolates recovered from the nematodes varied between the different studies. Some studies characterized their isolates by cultivation methods and identification kits [16], [20]–[25], [28] and other sequenced the 16S rRNA genes and queried them with the international databases [8], [12], [26], [28], [29]. Therefore, identifications of the isolated strains obtained only by biochemical methods may be incomplete, especially for some of the genera, potentially leading to wrong conclusions regarding bacterial communities. The objective of this study was to evaluate, the diversity of the bacterial community carried by B. xylophilus in the United States from different tree species of the genus Pinus with PWD, and to identify a bacterial species that is commonly associated with all B. xylophilus, suggesting a privileged relationship with a role in PWD.

Material and Methods

Ethics Statement

No specific permissions were required for sampling and authorizations were obtained by Dr. Mark Harrell, Forest Health Specialist, UNL, USA. The field studies did not involve endangered or protected species.

Sampling areas

Sampling was performed on June of 2011. Pinus trees from five different areas affected by PWD in Nebraska, USA were sampled: large golf course (G) (40°46′27.92″N, 96°38′39″W), small Golf course (GS) (40°47′30.81N, 96°40′35″W), Denis Land (D) (40°59′50.70″N, 96°44′14.36″W), Walter Land (W) (40°50′31.2″N, 96°33′54″W) and University of Nebraska-Lincoln East Campus (UNL) (40°49′54.03″N, 96°39′41′65″W) (Table 1). The sampling areas included pine trees with and without pine wilt disease, except the golf course where all the pine trees were healthy. G and Gs were golf courses with grass, and scattered pine trees from the species P. sylvestris. D and W were woodland areas, with different pine tree species. UNL was grass land with trees from different species, in groups. In area G, six symptomatic P. sylvestris trees and one asymptomatic P. sylvestris tree were sampled. In area GS, two symptomatic P. sylvestris trees were sampled. In area D, four symptomatic pine trees, three P. sylvestris and one P. nigra, and three asymptomatic pine trees, two P. sylvestris and one P. nigra, were sampled. In area W, one asymptomatic P. ponderosa tree and eight symptomatic pine trees, four P. nigra and four P. sylvestris were sampled. In the UNL area, four symptomatic pine trees, one P. nigra and three P. sylvestris, and one asymptomatic P. ponderosa tree were sampled (Table 1).
Table 1

Sampled Pinus spp. from different geographical areas and classified based on the PWD symptoms they expressed. +, presence of nematode; -, absence of nematode.

Sampling AreaSample TreePine tree speciesPWD symptom classa B. xylophilus Other nematodesb
Arv1 P. sylvestris V--
Arv2 P. sylvestris 0--
Golf course (G)Arv3 P. sylvestris I--
Arv4 P. sylvestris V--
Arv6 P. sylvestris II--
Arv7 P. sylvestris III--
Golf course small (Gs)Arv8 P. sylvestris V--
Arv9 P. sylvestris III--
Arv10 P. sylvestris V+-
Arv11 P. sylvestris III+-
Arv12 P. sylvestris III--
Denis Land (D)Arv13 P. nigra V+A
Arv14 P. nigra 0--
Arv15 P. sylvestris 0--
Arv16 P. sylvestris 0--
Arv17 P. nigra IV--
Arv18 P. sylvestris IV--
Arv19 P. ponderosa 0--
Arv20 P. nigra V+-
Walter Land (W)Arv26 P. sylvestris V--
Arv27 P. sylvestris IV--
Arv28 P. sylvestris V+-
Arv29 P. nigra V+-
Arv30 P. nigra V--
Arv21 P. ponderosa 0--
UNL East CampusArv22 P. sylvestris V+R
(UNL)Arv23 P. sylvestris V+-
Arv24 P. sylvestris V--
Arv25 P. nigra V+-

0 – tree without symptoms, I - <10% brown leaves, II - 10–50% brown leaves, III – 50–80% brown leaves, IV - >80% brown leaves, V- dead tree without leaves.

A- Aphelenchoidae and R- Rhabditidae

0 – tree without symptoms, I - <10% brown leaves, II - 10–50% brown leaves, III – 50–80% brown leaves, IV - >80% brown leaves, V- dead tree without leaves. A- Aphelenchoidae and R- Rhabditidae

Plant material

Each sample consisted of pinewood cross-sections from cut trees or wood obtained by drilling a 5 mm diameter hole to a depth of 10 to 15 cm with a sterilized hand brace drill (Haglof, Mora, Sweden). The wood samples (1–3 cm3) were placed in labelled and sealed individual sterile plastic bags. All samples were kept at 4°C and analyzed within 24 h. The trees were classified into 6 symptom classes previously defined [8], based on the symptoms they expressed.

Microbial community carried by PWN

The bark and sapwood of each sample were removed under aseptic conditions and the wood cut in ca. 2 cm chips. The wood pieces were placed onto R2A agar plates and incubated at 25°C, for three days. All bacterial colonies were isolated from the trails made by the nematodes on the medium [8]. The R2A agar (Reasoner's 2A agar, Difco) plates without nematodes were also used for isolation of bacteria. Bacterial isolates were grouped by RAPD typing. RAPD fragments were amplified by PCR, using primer OPA-03 (5′ – AGT CAG CCA C – 3′) (Operon Technologies, California, USA) together with crude cell lysates. DNA profiles for 107 isolates were grouped on basis of visual similarities of the fragments analyzed by electrophoresis in a 2% agarose gel stained with ethidium bromide. Reproducibility of the patterns was confirmed.

Nematode screening and identification

Nematodes were removed from R2A medium plates and collected into 250 µL tubes with dH2O. The nematodes were observed using an inverted stereomicroscope, 200x magnification (Olympus CKX41SF, Tokyo, Japan). The identification of PWN and other nematodes was based on their diagnostic morphological characters. Identification of B. xylophilus was verified molecularly by a satellite-DNA species-specific based technique [30].

Determination of 16S rRNA gene sequences of bacterial isolates from nematode trails

Amplification of a nearly full-length 16S rRNA gene sequence from bacterial isolates was performed by PCR with primers 27F (5′ – GAG TTT GAT CCT GGC TCA G – 3′) and 1525R (5′ – AGA AAG GAG GTG ATC CAG CC – 3′) [31]. The PCR reaction mix (50 µl) contained: reaction buffer (1.5 mM MgCl2, 50 mM KCl and 10 mM Tris-HCl, pH 8.3), 100 µM (each) deoxynucleoside triphosphates (NZYTech, Lisbon, Portugal), 0.2 µM (each) primer and 1.5 U Supreme NZYTaq DNA polymerase (NZYTech). The PCR was performed with 30 cycles: 1 min at 94°C, 1 min at 53°C, and 1 min at 72°C.PCR products with 1,500 bp obtained from isolates were purified using the NZYGelpure kit (NZYTech) according to the manufacturer's instructions, and sequenced as described below.

DNA sequence analysis and phylogenetic analysis

The 16S rRNA genes, from RAPD-types representing all different strains, were subjected to amplification for sequencing. Automated sequencing of the purified PCR products was performed by Eurofins MWG Operon (California, USA). All sequences were compared with sequences available in the EMBL/GenBank database using BLASTN network services [32] and with sequences in the Eztaxon-e server (http://eztaxon-e.ezbiocloud.net/) [33]. Sequences were aligned within the SINA alignment service [34] and checked for chimeric artefacts by using Mallard software [35]. Phylogenetic dendrograms were constructed by the maximum likelihood (RAxML) method included inside ARB software [36] and also the neighbor-joining phylogenetic trees were constructed by using Jukes-Cantor method [37] included in MEGA 5 software [38]. Bootstrap analysis with 1,000 replicates was used to evaluate the robustness of the phylogeny. All sequences from this study were compared with sequences from strains carried by wild B. xylophilus (isolated from trees), present in the EMBL/GenBank database and included in previous publications. A total of 98 sequences were found: 60 from Portugal in 2010 [8]; 21 from Portugal in 2011 [26]; 2 from China in 2012 [29] and 15 from China in 2013 [12]. The sequences were aligned and the dendrograms were constructed as mentioned above.

Data analysis

Relationships between pine trees, bacterial species and the environmental variables (pine trees species including P. nigra, P. sylvestris and P. ponderosa; five sampling areas and PWD symptom class (Table 1) and B. xylophilus presence) were analyzed by redundancy analysis (RDA) using the software package CANOCO (version 4.5.1). RDA was accompanied by Monte Carlo permutation tests to evaluate the statistical significance of the effects of the explanatory variables on the species composition of the samples [39].

Nucleotide sequence accession numbers

The 16S rRNA gene sequences of the bacterial isolates carried by PWN reported in this study have been deposited in Genbank/EMBL database under the accession numbers KF214941-KF214978.

Results

The pinewood nematode B. xylophilus was detected in nine symptomatic pine trees (class III and V of PWD symptom class) from three of the five sampling areas (Table 1). B. xylophilus and nematodes from other families (Families Aphelenchoididae and Rhabditidae) were found in two symptomatic pine trees (Arv13 and Arv22) from the species P. nigra and P. sylvestris, respectively. No nematodes were detected in the six asymptomatic trees. The microbial community carried by nematodes was isolated from nine pine trees (Table 1). A total of 107 strains were isolated of which forty-seven isolates were identified by microscopy as yeasts. Bacterial strains carried by PWNs were found in four P. sylvestris trees (Arv-11, -22, -23, and -28) and in four P. nigra (Arv-13, -20, -25, and -29) and all the strains were isolated. Bacteria were not isolated from the other nematode species. The bacterial strains were grouped into 38 RAPD-types on basis of visual similarities, representing a total of 60 bacterial strains. Based on identification using international databases, these bacterial strains belonged to six phylogenetic classes: Alphaproteobacteria (1.7%), Betaproteobacteria (11.7%), Gammaproteobacteria (79.9%), Flavobacteriia (1.7%) and Bacilli (5.0%) (Figure 1). A detailed description of the bacterial families and genera carried by PWN, from the different pine species, and their frequencies, is presented in Table 2.
Figure 1

Microbial community composition, diversity and relative abundance of: total of bacteria carried by PWN (A), bacteria carried by PWN from P. sylvestris (B) and from P. nigra (C).

The families: Alcaligenaceae, Bacillaceae, Burkholderiaceae, Comamonadaceae, Enterobacteriaceae, Flavobacteriaceae, Pseudomonadaceae, Rhizobiaceae, Staphylococcaceae and Xanthomonadaceae.

Table 2

Frequencies of bacterial taxa carried by B. xylophilus isolated from different Pinus spp.

ClassFrequencies (%)FamilyFrequencies (%)GeneraFrequencies (%) from P. sylvestris Frequencies (%) from P. nigra
Alphaproteobacteria 1.7 Rhizobiaceae 1.7 Rhizobium 1.70
Bacilli 5.0 Bacillaceae 3.3 Bacillus 1.71.6
Staphylococcaceae 1.7 Staphylococcus 01.7
Burkholderiaceae 6.7 Burkholderia 6.70
Betaproteobacteria 11.7 Alcaligenaceae 3.3 Pigmentiphaga 3.30
Comamonadaceae 1.7 Comamonas 1.70
Flavobacteriia 1.7 Flavobacteriaceae 1.7 Chryseobacterium 1.70
Serratia 5.08.3
Ewingella 018.3
Enterobacteriaceae 73.3 Enterobacter 1.70
Mangrovibacter 01.7
Gammaproteobacteria 79.9 Klebsiella 15.03.3
Erwinia 020.0
Pseudomonadaceae 1.6 Pseudomonas 1.60
Xanthomonadaceae 5.0 Dyella 1.70
Pseudoxanthomonas 1.71.6

Microbial community composition, diversity and relative abundance of: total of bacteria carried by PWN (A), bacteria carried by PWN from P. sylvestris (B) and from P. nigra (C).

The families: Alcaligenaceae, Bacillaceae, Burkholderiaceae, Comamonadaceae, Enterobacteriaceae, Flavobacteriaceae, Pseudomonadaceae, Rhizobiaceae, Staphylococcaceae and Xanthomonadaceae. Some of the strains were identified to the species level. The most abundant species in the family Enterobacteriaceae were Ewingella americana and Erwinia typographi representing 50% of the diversity inside the family, followed by the species S. marcescens (21%) that was the second most abundant (Figure 2, Figure S1). The class Betaproteobacteria was represented by strains of Burkholderia xenovorans (43%) and B. phenazinium (14%), two strains of the species Pigmentiphaga litoralis and one identified as Comamonas koreensis. Flavobacteriia was represented by one strain of species Chryseobacterium hominis. Bacteria inside Firmicutes were identified as Bacillus megaterium (66.7%) and Staphylococcus epidermidis (33.3%).
Figure 2

Phylogenetic analysis of bacterial 16S rRNA gene sequences of bacteria carried by PWN obtained from different countries (China - red, Portugal - green; USA - blue) and sequences available from NCBI.

The circular tree was generated using a neighbor-joining analysis included in MEGA 5 software, partial deletion (95%), linearized and rooted by Clostridium spp. Symbol (•) indicates node branches conserved when the tree was reconstructed using the maximum likelihood (RAxML). The numbers on the tree indicate the percentages of bootstrap sampling, derived from 1,000 replications, values below 50% are not shown. Isolates characterized in this study are indicated in blue. Scale bar, 5 inferred nucleotide substitutions per 100 nucleotides.

Phylogenetic analysis of bacterial 16S rRNA gene sequences of bacteria carried by PWN obtained from different countries (China - red, Portugal - green; USA - blue) and sequences available from NCBI.

The circular tree was generated using a neighbor-joining analysis included in MEGA 5 software, partial deletion (95%), linearized and rooted by Clostridium spp. Symbol (•) indicates node branches conserved when the tree was reconstructed using the maximum likelihood (RAxML). The numbers on the tree indicate the percentages of bootstrap sampling, derived from 1,000 replications, values below 50% are not shown. Isolates characterized in this study are indicated in blue. Scale bar, 5 inferred nucleotide substitutions per 100 nucleotides. Comparing all the sampling areas, the microbial community carried by the nematodes was different for each sampling area. In the G area, only yeasts but no bacteria were detected associated with nematodes. The genus Bacillus was found in the W and UNL sampling areas but just in nematodes from the pine P. sylvestris. The species Pseudoxanthomonas spadix was common to D and UNL sampling areas. Strains from the family Enterobacteriaceae were present in UNL, D and A areas. Although, strains from the genera Pseudomonas and Burkholderia were only found in UNL and W sampling areas, respectively.

Relationships between pine trees species, bacterial communities and environmental variables

In order to understand the relationships between pine tree species and bacterial communities carried by nematodes in different environmental conditions, the data obtained were explored by RDA (Figure 3). The first and second axes explained 53.4% and 80.4% of cumulative variation, respectively. The first axis, representing the direction of maximum variation through the data, seems to separate the pine trees, based on the presence or absence of nematodes. The analysis revealed two main groups, one constituted by P. sylvestris trees and the other by P. nigra trees (Figure 3). However, the two pine trees of species P. ponderosa are included in group of P. sylvestris trees. Moreover, the pine trees 13 (P. nigra) and 22 (P. sylvestris) are outsiders, most probably due to the presence of other nematodes but they are separated depending on their Pinus species.
Figure 3

Relationships between pine trees species, bacterial communities and environmental variables.

Redundancy analysis (RDA) performed with bacterial communities carried by PWN from five sampling sites. Circles highlight the closest relationship between P. sylvestris (blue), P. nigra (green) and P. ponderosa (red). The cumulative percentage of first and second axis explained 80.4% of variance. The genera included in this analysis are: Bac - Bacillus, Burk - Burkholderia, C1 - Comamonas, Ch - Chryseobacterium, Dy - Dyella, E1 - Enterobacter, E2 - Ewingella, Er - Erwinia, K - Klebsiella, M - Mangrovibacter, P1 - Pigmentiphaga, P2 - Pseudomonas, Px - Pseudoxanthomonas, R - Rhizobium, Se - Serratia, St - Staphylococcus. The environmental variables are: sampling areas (G, Gs, W, D, UNL), pine tree species (Pn – P. nigra, Pp – P. ponderosa, Ps – P. sylvestris), presence of B. xylophilus (Bx) or other nematodes (Nem), and PWD symptom classes (s0, sIII, sIV, sV). The numbers are the pine trees sampled (Table 1).

Relationships between pine trees species, bacterial communities and environmental variables.

Redundancy analysis (RDA) performed with bacterial communities carried by PWN from five sampling sites. Circles highlight the closest relationship between P. sylvestris (blue), P. nigra (green) and P. ponderosa (red). The cumulative percentage of first and second axis explained 80.4% of variance. The genera included in this analysis are: Bac - Bacillus, Burk - Burkholderia, C1 - Comamonas, Ch - Chryseobacterium, Dy - Dyella, E1 - Enterobacter, E2 - Ewingella, Er - Erwinia, K - Klebsiella, M - Mangrovibacter, P1 - Pigmentiphaga, P2 - Pseudomonas, Px - Pseudoxanthomonas, R - Rhizobium, Se - Serratia, St - Staphylococcus. The environmental variables are: sampling areas (G, Gs, W, D, UNL), pine tree species (Pn – P. nigra, Pp – P. ponderosa, Ps – P. sylvestris), presence of B. xylophilus (Bx) or other nematodes (Nem), and PWD symptom classes (s0, sIII, sIV, sV). The numbers are the pine trees sampled (Table 1).

Phylogenetic relationship between strains carried by B. xylophilus from different countries

All the 16S rRNA sequences from bacterial strains carried by B. xylophilus from all the different countries with available data (USA, Portugal and China), with accession numbers mentioned in the literature and found in the NCBI database, were considered in a total of 136 sequences. Strains from Portugal were isolated using the same methodology as the one used in this study [8], or by using several selective (Pseudomonas complex medium) and non-selective media (Trypticase Soy Agar (TSA), Nutrient Agar (NA), Luria Agar (LA)) incubated at 28°C for 1 week [26]. The strains from China were isolated using NA or Nutrient Broth (NB) incubated for 2–3 days at 30°C [12], [29]. The majority of the strains belonged to the class Gammaproteobacteria, others belonged to the class Betaproteobacteria and some strains to the class Alphaproteobacteria. Thirteen strains isolated from USA did not group with other isolates and belonged to the species Mangrovibacter plantisponsor (EF643377) (Arv-29-1.1a), Klebsiella variicola (AJ783916) (Arv-22-1.1, Arv-22-2.5b), Erwinia typographi (GU166291) (Arv-29-1.3a, Arv-29-4.14a, Arv-13-3.7), Pigmentiphaga litoralis (EU583723) (Arv-28-1.4b, Arv-28-1.5), Comamonas koreensis (AF275377) (Arv-22-2.10c), Pseudoxanthomonas spadix (AM418384) (Arv-13-1.2, Arv-22-1.3), Chryseobacterium hominis (AM261868) (Arv-22-2.5a), and Bacillus megaterium (D16273) (Arv-25-1.1, Arv-28-1.6a). The clade grouping strains from the genera Ewingella and Rahnella included strains from the 3 countries analyzed. Bacteria from the genera Serratia and Pantoea were both grouped into 2 subgroups and did not included strains from China. The genus Pseudomonas grouped strains from the 3 countries. Strains from the genus Burkholderia grouped strains from Portugal and USA. Most isolates from China belonged to the genus Achromobacter and grouped together with 2 strains of Pigmentiphaga from USA, both belonging to the Alcaligenaceae. Another 2 strains from USA belonged to Pseudoxanthomonas and grouped with the Stenotrophomonas strains from China.

Discussion

It is assumed that in Pine Wilt Disease, B. xylophilus is the causal agent but bacteria, according to recent findings [22], may play a role in the disease progression, as bacteria from several genera have been found associated with the PWN. Functional relationships have been suggested between B. xylophilus and bacteria [40]. Further, a genetic relationship between the two groups is supported by the presence of prokaryotic genes in the genome of nematodes from different families suggesting a co-evolutionary process with horizontal gene transfer [41]–[43]. Until now, different studies have demonstrated that PWN, obtained from infected trees from different countries, have an associated bacterial community [8], [12], [16], [20], [23], [25], [26], [29]. However, the comparison between the bacterial species associated with the nematodes from different countries is very difficult because the bacterial identification of most of the works were based on phenotypic characterization, using different methodologies, and not based on the 16S rRNA gene sequence of the strains. In the present work, all the bacterial strains carried by B. xylophilus, with public accession numbers in the NCBI database, were included for comparison of the bacterial communities. Only strains from USA, China and Portugal were found in the database and compared phylogenetically. Although, different methodologies were used for bacterial isolation all were based on non-selective media at similar incubation temperature that potentiating the isolation of mesophilic bacteria [8], [12], [26], [29]. In the USA, as in Portugal, most of the bacterial strains carried by PWN belonged to the family Enterobacteriaceae independent of the sampling area, and Burkholderiaceae were only found associated with nematodes from one area [8]. Moreover, strains from the genera Chryseobacterium and Pigmentiphaga were found associated with the nematodes, for the first time in USA. Nevertheless, when considering the different parameters, the PWN-associated bacterial populations seemed to be related with the geographical area as well as pine tree species. Most of the bacterial genera carried by USA nematodes are strains described as plant associated organisms, either plant growth promoting or plant pathogens, some genera including species with opposite functions. Strains of Achromobacter xylosoxidans (family Alcaligenaceae) and from Stenotrophomonas maltophilia (family Xanthomonadaceae) are versatile, able to degrade aromatic molecules such as pyrene. Both species were isolated from B. xylophilus strains considered having moderate virulence [12], [44]. Bacillus megaterium also isolated in association with the nematodes, is a phosphate solubilizing bacterium, considered plant growth promoting [45]. On the other hand, most of the strains from the genera Pantoea and Erwinia are phytopathogens. So, if PWNs are carrying bacteria from tree to tree (inside the insect vector) they could at the same time, introduce beneficial and harmful bacteria into the pine trees. However, recently studies showed that some strains from the genera Serratia and Pseudomonas have a nematicidal activity against B. xylophilus [9], [46], [47]. Thus, a third role can be envisaged for the associated bacteria which is their negative activity against PWN. The bacterial strains associated with PWN found in the NCBI database were from China, Portugal and USA, and belonged to 25 different genera. However, only strains from the genus Pseudomonas were isolated from nematodes of each country. Pseudomonas is a very diverse group including species with very different functional characteristics. The strains from China were closely related to P. fluorescens and did not group with Pseudomonas strains isolated from Portugal or USA, which in turn were most related with the species P. mohnii and P. lutea. The P. fluorescens strain AMA31c1-1 [29] grouped with the P. fluorescens strain NSBx.31 [12] from China. Han and coworkers (2003) suggested that P. fluorescens may be correlated with nematode virulence [16], but strain NSBx.31 [12] had no visible effects on the virulence of PWN and strain AMA3c1-1 protected the plant against PWD [29]. Taking in consideration all variables, the pine trees were statistically grouped in two major groups which seem to be related with tree species (although, P. ponderosa grouped with P. sylvestris), the presence of some bacterial genera and the presence of other nematodes. In conclusion, nematodes from the different countries are associated with bacteria of different species, not supporting a relationship between the nematode with a particular bacterial species. In addition, the diversity of the bacteria carried by the pinewood nematode seems to be dependent on the geographic area and the pine tree host species. The role of the different bacteria species inside the tree is probably independent of the presence of the nematode and only dependent on the bacteria's relationship with the tree. Phylogenetic analysis of bacterial 16 S rRNA gene sequences of bacteria carried by PWN obtained from different countries (China - red, Portugal - green; USA - blue) and sequences available from NCBI. The dendrogram was constructed by the RAxML method with GTRGAMMA model included inside ARB software and rooted by Clostridium spp. Symbol (•) indicates node branches conserved when the tree was reconstructed using the neighbor-joining method. The numbers on the tree indicate the percentages of bootstrap sampling, derived from 1,000 replications, values below 50% are not shown. Isolates characterized in this study are indicated in blue. Scale bar, 1 inferred nucleotide substitution per 100 nucleotides. (PDF) Click here for additional data file.
  29 in total

Review 1.  Bacterial endophytes and their interactions with hosts.

Authors:  Mónica Rosenblueth; Esperanza Martínez-Romero
Journal:  Mol Plant Microbe Interact       Date:  2006-08       Impact factor: 4.171

2.  Relationship between the pathogenicity of the pine wood nematode, Bursaphelenchus xylophilus, and phenylacetic acid production.

Authors:  K Kawazu; H Zhang; H Yamashita; H Kanzaki
Journal:  Biosci Biotechnol Biochem       Date:  1996-09       Impact factor: 2.043

3.  Draft genome sequence of Pseudomonas sp. strain M47T1, carried by Bursaphelenchus xylophilus isolated from Pinus pinaster.

Authors:  Diogo Neves Proença; Christophe Espírito Santo; Gregor Grass; Paula V Morais
Journal:  J Bacteriol       Date:  2012-09       Impact factor: 3.490

4.  On the Taxonomy and Morphology of the Pine Wood Nematode, Bursaphelenchus xylophilus (Steiner &Buhrer 1934) Nickle 1970.

Authors:  W R Nickle; A M Golden; Y Mamiya; W P Wergin
Journal:  J Nematol       Date:  1981-07       Impact factor: 1.402

5.  New screening software shows that most recent large 16S rRNA gene clone libraries contain chimeras.

Authors:  Kevin E Ashelford; Nadia A Chuzhanova; John C Fry; Antonia J Jones; Andrew J Weightman
Journal:  Appl Environ Microbiol       Date:  2006-09       Impact factor: 4.792

6.  Diversity of bacteria associated with Bursaphelenchus xylophilus and other nematodes isolated from Pinus pinaster trees with pine wilt disease.

Authors:  Diogo Neves Proença; Romeu Francisco; Clara Vieira Santos; André Lopes; Luís Fonseca; Isabel M O Abrantes; Paula V Morais
Journal:  PLoS One       Date:  2010-12-09       Impact factor: 3.240

7.  Genomic insights into the origin of parasitism in the emerging plant pathogen Bursaphelenchus xylophilus.

Authors:  Taisei Kikuchi; James A Cotton; Jonathan J Dalzell; Koichi Hasegawa; Natsumi Kanzaki; Paul McVeigh; Takuma Takanashi; Isheng J Tsai; Samuel A Assefa; Peter J A Cock; Thomas Dan Otto; Martin Hunt; Adam J Reid; Alejandro Sanchez-Flores; Kazuko Tsuchihara; Toshiro Yokoi; Mattias C Larsson; Johji Miwa; Aaron G Maule; Norio Sahashi; John T Jones; Matthew Berriman
Journal:  PLoS Pathog       Date:  2011-09-01       Impact factor: 6.823

8.  SINA: accurate high-throughput multiple sequence alignment of ribosomal RNA genes.

Authors:  Elmar Pruesse; Jörg Peplies; Frank Oliver Glöckner
Journal:  Bioinformatics       Date:  2012-05-03       Impact factor: 6.937

9.  Horizontally transferred genes in plant-parasitic nematodes: a high-throughput genomic approach.

Authors:  Elizabeth H Scholl; Jeffrey L Thorne; James P McCarter; David Mck Bird
Journal:  Genome Biol       Date:  2003-05-19       Impact factor: 13.583

10.  Nematicidal bacteria associated to pinewood nematode produce extracellular proteases.

Authors:  Gabriel Paiva; Diogo Neves Proença; Romeu Francisco; Paula Verissimo; Susana S Santos; Luís Fonseca; Isabel M O Abrantes; Paula V Morais
Journal:  PLoS One       Date:  2013-11-07       Impact factor: 3.240

View more
  10 in total

1.  Bacterial Diversity and Community Structure in the Pine Wood Nematode Bursaphelenchus xylophilus and B. mucronatus with Different Virulence by High-Throughput Sequencing of the 16S rDNA.

Authors:  Yang Xiang; Xiao-Qin Wu; Ai-Dong Zhou
Journal:  PLoS One       Date:  2015-09-15       Impact factor: 3.240

2.  Effects of Endobacterium (Stenotrophomonas maltophilia) on Pathogenesis-Related Gene Expression of Pine Wood Nematode (Bursaphelenchus xylophilus) and Pine Wilt Disease.

Authors:  Long-Xi He; Xiao-Qin Wu; Qi Xue; Xiu-Wen Qiu
Journal:  Int J Mol Sci       Date:  2016-05-25       Impact factor: 5.923

3.  The Microbiome of Endophytic, Wood Colonizing Bacteria from Pine Trees as Affected by Pine Wilt Disease.

Authors:  Diogo Neves Proença; Romeu Francisco; Susanne Kublik; Anne Schöler; Gisle Vestergaard; Michael Schloter; Paula V Morais
Journal:  Sci Rep       Date:  2017-06-23       Impact factor: 4.379

Review 4.  Understanding pine wilt disease: roles of the pine endophytic bacteria and of the bacteria carried by the disease-causing pinewood nematode.

Authors:  Diogo N Proença; Gregor Grass; Paula V Morais
Journal:  Microbiologyopen       Date:  2016-10-26       Impact factor: 3.139

5.  Bacterial Metabolites Produced Under Iron Limitation Kill Pinewood Nematode and Attract Caenorhabditis elegans.

Authors:  Diogo Neves Proença; Thomas Heine; Christoph H R Senges; Julia E Bandow; Paula V Morais; Dirk Tischler
Journal:  Front Microbiol       Date:  2019-09-19       Impact factor: 5.640

6.  Effects of α-pinene on the pinewood nematode (Bursaphelenchus xylophilus) and its symbiotic bacteria.

Authors:  Xu Wang; Yanxue Yu; Jianjun Ge; Bingyan Xie; Shuifang Zhu; Xinyue Cheng
Journal:  PLoS One       Date:  2019-08-19       Impact factor: 3.240

7.  Characterization of bacterial communities associated with the pinewood nematode insect vector Monochamus alternatus Hope and the host tree Pinus massoniana.

Authors:  Yajie Guo; Qiannan Lin; Lyuyi Chen; Rebeca Carballar-Lejarazú; Aishan Zhang; Ensi Shao; Guanghong Liang; Xia Hu; Rong Wang; Lei Xu; Feiping Zhang; Songqing Wu
Journal:  BMC Genomics       Date:  2020-05-01       Impact factor: 3.969

8.  The Role of Serratomolide-like Amino Lipids Produced by Bacteria of Genus Serratia in Nematicidal Activity.

Authors:  Catarina Marques-Pereira; Diogo Neves Proença; Paula V Morais
Journal:  Pathogens       Date:  2022-02-01

9.  Environment and Diet Influence the Bacterial Microbiome of Ambigolimax valentianus, an Invasive Slug in California.

Authors:  Denise Jackson; Mia R Maltz; Hannah L Freund; James Borneman; Emma Aronson
Journal:  Insects       Date:  2021-06-23       Impact factor: 2.769

10.  Bacterial community associated to the pine wilt disease insect vectors Monochamus galloprovincialis and Monochamus alternatus.

Authors:  Marta Alves; Anabela Pereira; Patrícia Matos; Joana Henriques; Cláudia Vicente; Takuya Aikawa; Koichi Hasegawa; Francisco Nascimento; Manuel Mota; António Correia; Isabel Henriques
Journal:  Sci Rep       Date:  2016-04-05       Impact factor: 4.379

  10 in total

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