| Literature DB >> 31632222 |
Min-Jung Kim1, Dae-Han Chae2, Gyeongjun Cho2, Da-Ran Kim1, Youn-Sig Kwak1,2.
Abstract
Kiwifruit (Actinidia spp.) is an economically important crop and a bacterial canker disease, caused by Pseudomonas syringae pv. actinidiae (Psa), is the most destructive disease in kiwifruit production. Therefore, prevent and control of the disease is a critical issue in kiwifruit industry worldwide. Unfortunately, there is no reliable control methods have been developed. Recently, interest in disease control using microbial agents is growing. However, kiwifruit microbiota and their roles in the disease control is mainly remaining unknown. In this study, we secured bacterial libraries from kiwifruit ecospheres (rhizosphere, endospere, and phyllosphere) and screened reliable biocontrol strains against Psa. As the results, Streptomyces racemochromogenes W1SF4, Streptomyces sp. W3SF9 and S. parvulus KPB2 were selected as anti-Psa agents from the libraries. The strains showed forcible antibacterial activity as well as exceptional colonization ability on rhizosphere or phyllosphere of kiwifruit. Genome analyses of the strains suggested that the strains may produce several anti-Psa secondary metabolites. Our results will contribute to develop biocontrol strains against the kiwifruit canker pathogen and the disease management strategies. © The Korean Society of Plant Pathology.Entities:
Keywords: Streptomyces; bacterial canker; biological control; kiwifruit
Year: 2019 PMID: 31632222 PMCID: PMC6788412 DOI: 10.5423/PPJ.OA.05.2019.0154
Source DB: PubMed Journal: Plant Pathol J ISSN: 1598-2254 Impact factor: 1.795
Fig. 1Antibacterial activity of strains against Pseudomonas syringae pv. actinidiae (Psa) by disk diffusion method. (A) 3rd screening plates. (B) Clean zone diameter of selected anti-Psa strains. Co-culture was performed on 1/5 tryptic soy agar (TSA) as OD600 0.2 and incubated at 20°C for 3–5 days. Statistical analysis was carried out in Statistix (v. 8.0) by Tukey’s honestly significant difference test with significance for P < 0.05 (mean ± SD).
Comparison of anti-Psa strains obtained with housekeeping genes (atpD/recA) sequencing above 98% identity
| Origin | Strain | Phenotype | Species | Identity (%) |
|---|---|---|---|---|
| Rhizosphere | W1SF3 | A | 100 | |
| Rhizosphere | W1SF4 | B | 100 | |
| Rhizosphere | W1SG3 | A | 100 | |
| Rhizosphere | W2SB7 | A | 100 | |
| Rhizosphere | W3SF9 | C | 99 | |
| Rhizosphere | K1SF1 | A | 99 | |
| Rhizosphere | K2SC9 | D | 100 | |
| Rhizosphere | K2SG8 | E | 99 | |
| Rhizosphere | K3SG10 | A | 100 | |
| Pollen | KPB2 | F | 99 | |
| Pollen | KPP2 | F | 99 |
Psa, Pseudomonas syringae pv. actinidiae.
Fig. 2Phylogenetic tree of the anti–Pseudomonas syringae pv. actinidiae strains based on housekeeping genes atpD (A) and recA (B) by the neighbor-joining method. The sequences of reference species were obtained from NCBI GenBank. The distances were computed using the Maximum Composite Likelihood method and analyses were conducted in MEGA 7.0.26.
Screening of in vitro bacterial plant growth–promoting activities
| Origin | Strain | Species | Plant growth–promoting activities | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||||
| Cellul | Chitin | Prot | Sid | P Sol | IAA | N fix | Spore | Attach | |||
| Rhizosphere | W1SF3 | ○ | ○ | × | ○ | NT | NT | NT | × | NT | |
| Rhizosphere | W1SF4 | ○ | ○ | ○ | ○ | ○ | ○ | ○ | ○ | ○ | |
| Rhizosphere | W1SG3 | ○ | ○ | × | ○ | NT | NT | NT | × | NT | |
| Rhizosphere | W2SB7 | ○ | ○ | × | ○ | ○ | ○ | ○ | × | ○ | |
| Rhizosphere | W3SF9 | ○ | ○ | ○ | ○ | ○ | ○ | ○ | ○ | ○ | |
| Rhizosphere | K1SF1 | ○ | × | × | ○ | NT | NT | NT | × | NT | |
| Rhizosphere | K2SC9 | ○ | × | × | ○ | NT | NT | NT | ○ | NT | |
| Rhizosphere | K2SG8 | ○ | × | ○ | × | NT | NT | NT | ○ | NT | |
| Rhizosphere | K3SG10 | ○ | ○ | × | ○ | NT | NT | NT | × | NT | |
| Pollen | KPB2 | ○ | ○ | ○ | ○ | ○ | ○ | ○ | ○ | ○ | |
| Pollen | KPP2 | ○ | ○ | ○ | ○ | NT | NT | NT | ○ | NT | |
Phylogenetic affiliation based on housekeeping genes sequence.
The results are expressed as symbol ○ (present) exhibited the PGP activities and symbol × (absent) not exhibited. NT, not tested.
Plant growth–promoting activities: Cellul, cellulase; Chitin, chitinase; Prot, protease; Sid, siderophore production; P Sol, phosphate solubilization; IAA, indole acetic acid production; N fix, nitrogen fixation activity; Spore, sporulation on the minimal medium; Attach, attachment activity.
Fig. 3Root (A) and leaf (B) colonization assay of the anti–Pseudomonas syringae pv. actinidiae (Psa) strains. Colonization assays were performed as non-treated control (CK), W1SF4, W3SF9, and KPB2 treatments with five replicates. The anti-Psa treatments were performed with apramycin resistant W1SF4 and hygromycin resistant W3SF9, KPB2. Root colonization assay was performed with bacterial dipping method. Anti-Psa strains were prepared at 106 cfu/ml with 0.1% Tween 20, washed kiwifruit seedlings roots were dipped in bacterial cells for 15 min and planted with sterile bed soil in deepots. The root treatments were maintained in the growth chamber at 25°C, 80% humidity, 12-h light photoperiod. Leaf colonization assay was performed with bacterial spraying method. Each bacterial culture was adjusted at 107 cfu/ml with 10 mM MgCl2 and 0.02% silwet L-77. The kiwifruit seedlings were planted with sterile bed soil in deepots and bacterial suspensions were sprayed evenly three times at 2 days intervals onto both sides of the leaves. The leaf treatments were covered with the lid and maintained on the lab table at from 20 to 25°C for 21 days. The root colonization ability was measured by diluting rhizosphere soils from 10−1 to 10−5, spreading on 1/5 PDK agar and verifying the cfu/g at weekly intervals for 6 weeks. The leaf colonization ability was measured by diluting leaves from 10−1 to 10−7, spreading on 1/5 PDK agar and verifying the cfu/g after a week. Statistical analysis was carried out in Statistix (v. 8.0) by Tukey’s honestly significant difference test (P < 0.05).
Fig. 4The effect of anti–Pseudomonas syringae pv. actinidiae (Psa) strains on the disease severity of kiwifruit bacterial canker. (A) Symptoms on upper surfaces 3 weeks post-inoculation with Psa. Scale bar = 1 cm. (B) Disease index based on the percentage of leaf area covered by symptom. The culture of Psa (107 cfu/ml) was sprayed on the bacterial treatments with the same bacterial spraying methods. They were maintained on the lab table at from 20 to 25°C for 21 days. Statistical analysis was carried out in Statistix (v. 8.0) by Tukey’s honestly significant difference test (P < 0.05).
Genome information of W1SF4 and KPB2 strains
| Strain | Contigs | Length (bp) | GC (%) | CDS | tRNA | rRNA |
|---|---|---|---|---|---|---|
| W1SF4 | Chromosome | 7,272,878 | 71.3 | 6,899 | 216 | 63 |
| Plasmid 1 | 481,785 | 505 | 0 | 0 | ||
| Plasmid 2 | 313,480 | 189 | 0 | 0 | ||
| Total | 8,068,143 | 71.3 | 7,593 | 216 | 63 | |
| KPB2 | Chromosome | 8,082,236 | 72.2 | 7,362 | 54 | 196 |
| Total | 8,082,236 | 72.2 | 7,362 | 54 | 196 |
CDS, coding sequence.
Fig. 5Genome map of Streptomyces racemochromogenes W1SF4 and S. parvulus KPB2. (A) W1SF4 chromosome. (B) Plasmid 1 of W1SF4. (C) Plasmid 2 of W1SF4. (D) KPB2 chromosome. The genome map was drawn by annotation result in RAST v 2.0. Marked characteristics are shown from outside to the center; coding sequence (CDS) on forward strand, CDS on reverse strand, GC content and GC skew. The genome map was visualized in R program (v 3.5.1).
Antibiotic and secondary metabolite gene clusters in Streptomyces sp. W1SF4 by antiSMASH
| Cluster | Type | Genes | Similarity (%) |
|---|---|---|---|
| 1 | Lanthipeptide | LANC_like/Pkinase | 100 |
| 3 | T2pks | T2ks | 66 |
| 4 | Melanin | 100 | |
| 5 | NRPS | AMP/PP-binding | 87 |
| 7 | Siderophore | lucA_lucC | 100 |
| 15 | Terpene | Phytoene_synt | 61 |
| 16 | Terpene | Terpene_synth_C | 100 |
| 21 | Lantipeptide | LANC_like/Pkinase | 100 |
| 25 | Butyrolactone-Melanin-T2pks-T1pks-NRPS | AMP/PP-binding | 100 |
NRPS, nonribosomal peptide synthetase.
Gene clusters are presented at 60% similarity cutoff.
Antibiotic and secondary metabolite gene clusters in Streptomyces sp. KPB2 by antiSMASH
| Cluster | Types | Genes | Similarity (%) |
|---|---|---|---|
| 1 | NRPS | AMP/PP-binding | 100 |
| 3 | Terpene | Phytoene_synt | 100 |
| 4 | NRPS | AMP/PP-binding | 100 |
| 6 | Terpene | Phytoene_synt | 100 |
| 7 | NRPS | AMP/PP-binding | 87 |
| 10 | T1pks | AMP/PP-binding | 100 |
| 13 | T2pks | PP-binding | 66 |
| 14 | Terpene | P450 | 100 |
| 15 | Siderophore | IucA_IucC | 100 |
| 16 | Melanin | 100 | |
| 17 | Ectoine | Ectoine_synt | 100 |
NRPS, nonribosomal peptide synthetase.
Gene clusters are presented at 60% similarity cutoff.