Root-knot nematode disease has dramatically impacted Morus alba L. production in Japan, India, and Brazil (Hida and Zhu, 1985; Sujathamma et al., 2014; Paestakahashi et al., 2015). According to Wang and Chen (1989a, 1989b), root-knot nematodes cause mulberry leaf loss of 20 to 45%, with severe cases reaching over 75% in some fields (Wang and Chen, 1989a, 1989b). Leaf quality can also be negatively impacted by this pathogen. Root-knot nematodes on mulberry in Japan have previously been identified as Meloidogyne mali, Meloidogyne hapla, Meloidogyne arenaria, and Meloidogyne incognita, according to the morphological characteristics of female perineal pattern, male, and second instar larvae (Hida and Zhu, 1985). While in India (Schreiber et al., 2006; Kepenekcı et al., 2006; Sujathamma et al., 2014; Gnanaprakash et al., 2016) were identified as Meloidogyne incongnita. Paestakahashi et al. (2015) identified the root-knot nematodes of mulberry in Brazil as Meloidogyne enterolobii based on isozymes and the morphological characteristics of female perianal pattern, second instar larvae, and male spicule.
At present in China, the Meloidogyne that damages mulberry are mainly identified according to the morphological characteristics of perineal patterns, second-instar larvae, and male worms. It was reported by Xia (2004) that Meloidogyne hapla is mostly distributed in northern silkworm areas; Meloidogyne arenaria is mainly in Jiangsu, Zhejiang, and northern silkworm areas; Meloidogyne incognita is mostly spread in southern Zhejiang and Guangdong. Zhang et al. (1988) reported that Meloidogyne incognita was the nematode that caused the large-scale outbreak of Meloidogyne in the mulberry field of Sandland in Ankang City, Shanxi Province, and the four main species of Meloidogyne that damaged mulberry trees in Shanxi Province were Meloidogyne arenaria, Meloidogyne incognita, Meloidogyne javanica, and Meloidogyne thamesi (Wang and Chen, 1989a, 1989b). Tang et al. (2002) held that, the dominant populations of Meloidogyne on mulberry in Luliang County are mainly Meloidogyne incognita and Meloidogyne arenaria. Sun et al. (2004) reported that it was Meloidogyne arenaria that damaged mulberry in Qingzhou and other places in Shandong province. Qiao (2012) found that, the Meloidogyne parasitic on mulberry is Meloidogyne incognita. And Long et al. (2019) identified that, the Meloidogyne on mulberry in Hainan is Meloidogyne enterolobii.
Traditional identification methods are mainly based on morphology, especially the perineal pattern, which is sometimes inexact due to its large variability. Recent advances in molecular and morphological characterization have enabled better classification of root-knot nematodes. This strategy was employed to identify mulberry root-knot nematode in Hainan province as Meloidogyne enterollobii (Zhuo et al., 2008). In order to overcome the shortcomings of previous research that exclusively used morphology, we combined morphological characteristics with molecular biology to identify the causal pathogen of mulberry root-knot nematode disease in South China.
Materials and methods
Sampling
Samples were collected from rhizosphere soil and mulberry root-knots in six locations in South China, including Huadu City of Guangdong province, Guangzhou City of Guangdong province, Zhanjiang City of Guangdong province, Shaoguan City of Guangdong province, Nanning city of Guangxi province, and Changsha City of Hunan province. Samples were placed in sealed plastic bags, which were then placed in sample boxes and stored at 4°C before further analysis, in order to minimize changes in nematode populations.
Nematode extraction
Male nematode was extracted from soil samples using the method described in Zeng (2012) study. Using a dissecting microscope, females and egg masses were isolated from infested roots with a scalpel and a nematological needle.
Morphological observation
Individual nematodes were picked and heat-killed, then fixed in FG solution (containing 1 mL glycerol, 10 mL formalin, and 89 mL distilled water). The specimens were added slowly into glycerol and mounted on microscope slides. Measurements were made with a stage micrometer of Nikon microscope. Morphometric data were processed using Excel software. Images of key morphological features were taken using a Nikon DS-Fi1 attached to a Nikon ECLIPSE 80i microscope and processed using Photoshop CS5.
Polymerase chain reaction and sequencing
A female was identified and separately placed in 5 μL of worm lysis buffer (WLB) containing proteinase K for DNA extraction (Williams et al., 1992). DNA samples were stored at −20°C.
To amplify the ITS region, we used primers 5367 (5′-TTGATTACGTCCCTGCCCTTT-3′) and 26s (5′-TTTCACTCGCCGTTACTAAGG-3′) described by Vrain et al. (1992). PCR reactions contained 12.5 μL 2× PCR buffer for KOD FX, 5 μL 2 mM dNTPs, 1 μL of each primer, 2 μL of isolated DNA, and distilled water up to 25 μL. The amplification was carried out in a lab cycler (Applied Biosystems) using the following program: initial denaturation at 94°C for 4 min; 35 cycles of denaturation at 94 °C for 1 min, annealing at 55 °C for 1 min, and elongation at 72 °C for 2 min; followed by a final extension at 72 °C for 10 min.
The D2-D3 region of the 28S gene was amplified with primer D2A (5′-ACAAGTACCGTGAGGAAAGTTG-3′) and D3B (5′-TCGGAAGGAACCAGCTACTA-3′) described by Sturhan et al. (2006). PCR reaction conditions were the same as those described for the ITS region.
Sequence and phylogenetic analysis
The sequences obtained were submitted for a search in GenBank using the BLAST algorithm. Sequences for each gene were then aligned with corresponding published gene sequences using ClustalX 1.83 with default parameters. BI (Bayesian inference) analysis under the GTR + I + G model was initiated with a random starting tree and was run with four chains for 1.0 × 106 generations. The Markov chains were sampled at intervals of 100 generations. Two runs were performed for each analysis. The log-likelihood values of the sample points stabilized after approximately 104 generations. The topologies were used to generate a 50% majority rule consensus tree. Posterior probabilities (PPs) are given on appropriate clades. Sequence differences between samples were calculated with PAUP* 4b 10 (Cummings, 2004) as an absolute distance matrix and the percentage was adjusted for missing data.
Results
Morphology of root-knot nematodes from mulberry
The morphology of the root-knot nematode population isolated from mulberry trees is shown in Figure 1. The morphometric measurements are shown in Tables 1-3.
Table 1.
Measurements of females of Meloidognye sp. in mulberry root knot.
| Character | Range | Mean ± SD |
|---|---|---|
| Linear (μm) | ||
| n | 20 | 20 |
| Body length | 550 – 850 | 676 ± 97.9 |
| Body width | 403 – 750 | 491.4 ± 67.0 |
| Neck length | 3.6 – 4.3 | 3.9 ± 0.2 |
| Stylet length | 12 – 19 | 14.7 ± 1.7 |
| Stylet knob height | 1.8 – 2.9 | 2.3 ± 0.3 |
| Stylet knob width | 3.9 – 5.4 | 4.7 ± 0.5 |
| DGO | 2 – 4 | 2.9 ± 0.6 |
| Excretory pore to Head end | 41.3 – 79.6 | 55.8 ± 10.2 |
| a | 0.94 – 1.93 | 1.50 ± 0.3 |
| Character | Range | Mean |
|---|---|---|
| Linear (μm) | ||
| n | 20 | 20 |
| Body length | 1,500.0 – 1,910.6 | 1,661.5 ± 109.7 |
| Body width | 36.8 – 48.0 | 32.7 ± 15.4 |
| Tail length | 8.2 – 19.5 | 11.6 ± 2.3 |
| Stylet length | 21.1 – 24.7 | 16.0 ± 3.9 |
| Stylet knob height | 2.4 – 3.8 | 3.1 ± 0.4 |
| Stylet knob width | 4.1 – 5.6 | 4.6 ± 0.4 |
| DGO | 3 – 5 | 3.6 ± 0.6 |
| Excretory pore to head end | 158.9 – 206.1 | 174.4 ± 12.4 |
| Spicule length | 27.3 – 31.3 | 29.0 ± 1.2 |
| Testis length | 758.0 – 1,050.0 | 834.5 ± 64 |
| a | 34.0 – 44.7 | 37.5 ± 1.9 |
| c | 71.1 – 170.4 | 110.8 ± 31.1 |
| Character | Range | Mean |
|---|---|---|
| Linear (μm) | ||
| n | 20 | 20 |
| Body length | 360 – 440 | 399.7 ± 21.3 |
| Body width | 13 – 17 | 13.6 ± 0.7 |
| Tail length | 40.5 – 62.4 | 50.8 ± 5.7 |
| Excretory pore to head end | 83.5 – 97.5 | 89.8 ± 3.5 |
| Stylet length | 10.4 – 12.8 | 10.9 ± 0.7 |
| Stylet knob height | 1.6 – 1.7 | 1.60 ± 0.00 |
| Stylet knob width | 2.4 – 3.0 | 2.60 ± 0.2 |
| DGO | 2 – 5 | 3.1 ± 0.7 |
| a | 24 – 29 | 26.7 ± 1.5 |
| c | 6.2 – 10.0 | 7.5 ± 0.9 |


