Diversity and Identification of Plant-Parasitic Nematodes in Wheat-Growing Ecosystems
by
, , , and
Ayça İrem Keçici
1, 
Refik Bozbuğa
2,
Atilla Öcal
3,
Ebubekir Yüksel
4,
Göksel Özer
1,
Şenol Yildiz
1,
Rachid Lahlali
5
,
Brigitte Slaats
6,
Abdelfattah A. Dababat
7,* and
Mustafa İmren
1 1
Department of Plant Protection, Faculty of Agriculture, Bolu Abant Izzet Baysal University, Bolu 14030, Türkiye
2
Department of Plant Protection, Faculty of Agriculture, Eskisehir Osmangazi University, Eskisehir 26160, Türkiye
3
Atatürk Horticultural Central Research Institute, Yalova 77100, Türkiye
4
Department of Plant Protection, Faculty of Agriculture, Kayseri Erciyes University, Kayseri 38030, Türkiye
5
Phytopathology Unit, Department of Plant Protection, Ecole Nationale d’Agriculture de Meknès, Km10, Rte Haj Kaddour, B.P. S/40, Meknes 50001, Morocco
6
EAME Technical Expert Seedcare, Syngenta Crop Protection AG Office, Rosentalstr 67, 4058 Basel, Switzerland
7
International Maize and Wheat Improvement Centre (CIMMYT), Ankara 06170, Türkiye
*
Author to whom correspondence should be addressed.
Microorganisms 2022, 10(8), 1534; https://doi.org/10.3390/microorganisms10081534
Submission received: 17 May 2022
/
Revised: 20 July 2022
/
Accepted: 21 July 2022
/
Published: 29 July 2022
(This article belongs to the Special Issue The Hidden World within Plants)
Abstract
:Several nematode species can be found in different densities in almost any soil ecosystem, and their diversity in those ecosystems depends on numerous reasons, such as climatic conditions and host presence. Cereals are one of the main hosts of plant-parasitic nematodes (PPN), chiefly root-lesion nematodes (RLN, Pratylenchus spp.) and cereal cyst nematodes (CCN, Heterodera spp.). These nematodes are known as major parasites of the cereal crops; however, agricultural areas accommodate various nematodes showing biological variation. The diversity of parasitic nematodes on cereals in the Sakarya provinces of Türkiye, where cereals are intensively grown and located in the middle of two climatic zones, has not been well studied. Therefore, in this study, we aimed to determine the diversity, identification, and molecular phylogeny of PPNs in wheat-growing ecosystems in the Hendek, Pamukova, Geyve, Akyazı, and Central districts of Sakarya. The diversity of PPNs was calculated using the Shannon diversity index. Thirteen PPN genera were detected in 92% of soil samples. Heterodera filipjevi was identified in 24% of the soil samples using morphological, morphometrical, and molecular tools. In the morphological and molecular analyses, intraspecific polymorphism was observed in H. filipjevi populations. The result indicated that the high infestation rate of H. filipjevi was recorded from Geyve and Pamukova, followed by Hendek and Akyazı; however, a low infestation rate was detected in the Central district. The moderate value of the Shannon index of migratory nematode species was obtained in wheat fields as 2.31, whereas the value of evenness was 0.93, implying moderate diversity and high evenness of nematodes. This study is the first comprehensive report on H. filipjevi from wheat cropping areas in the Sakarya province. Intensified cereal cropping systems with/without non-cereal rotations increased the risk of plant-parasitic nematodes, especially RLNs and H. filipjevi infection of wheat production areas in the province.
1. Introduction
Türkiye is one of the world’s top 10 wheat producers, with 20 million tonnes of average annual wheat production [1]. Wheat production in Türkiye climbed from 10.7 thousand tons in 1971 to 18.2 thousand tons in 2020, expanding at an annual increase of 1.85% yearly pace on average [2]. However, wheat yield is highly variable among the different geographical zones of Türkiye, primarily because of climatic conditions and poor management methods of plant disease and pests [3]. In 2021–2022, the wheat planting area dropped to 7.05 million hectares, with a total production of 17.6 million tons, which is insufficient to meet Türkiye’s wheat industry’s needs [2].
Fungus and nematode-induced soil-borne diseases are among the main constraints in agricultural production and are quite challenging to be managed. Plant-parasitic nematodes alone are responsible for nearly 10% of yield losses worldwide, resulting in economic losses of over USD 125 billion per year [4,5]. However, yield losses associated with PPNs generally go unnoticed by a great proportion of farmers due to the soil-dwelling nature of most PPNs and the similarity of symptoms with other biotic and abiotic disease-inducing factors. Even though it is established that the problem is nematode-originated, it is still quite difficult to differentiate PPN species due to the co-occurrence of different species of PPNs in the field and the complexity of diagnostic characteristics. Among the PPNs that cause a reduction in the yield and profitability of wheat production, Cyst (Heterodera spp.), Root-lesion (Pratylenchus spp.), Root-knot (Meloidogyne spp.), Seed-gall (Anguina spp.), and Stubby-root nematodes (Paratrichodorus spp.) are the most economically important genera [6].
The sedentary endoparasites are the most injurious and economically destructive groups attacking cereals [6,7]. Cyst nematodes have been extensively investigated as a category of endoparasitic nematodes as they lead to substantial yield losses. Numerous research studies have been conducted to clarify the biology of cyst nematodes concerning their host plants [8,9]. Cyst nematodes, such as Heterodera, infect various host plants, including wheat [10,11]. This genus has 12 known species with overlapping morphological features, making it difficult to separate them, especially when they occur in the same niche [12,13]. Molecular diagnostic tools enable researchers to correctly and rapidly identify morphologically indistinct PPN species. The internal transcribed spacer sequences (ITS) region, including non-coding ITS1 and ITS2, and the 5.8S region of ribosomal DNA (rDNA), have proved very beneficial in accurately identifying and characterizing PPN species [14,15].
In Türkiye, Heterodera spp. populations obtained from different wheat cropping systems have mainly been identified based on their morphology/morphometrics and molecular tools [16,17,18,19,20]. Although Sakarya is one of the significant wheat-producing provinces of Türkiye in the Marmara region, our knowledge is still insufficient regarding the morphometrics and genetics of CCNs, including the diversity and variability of CCN. Thus, the specific objectives of this study were to (i) investigate the occurrence and prevalence of the important plant-parasitic nematode genera in the Marmara region, (ii) identify both mature cysts and second-stage juveniles (J2s) of H. filipjevi group using morphological/morphometrical and molecular tools, and (iii) examine polygenetic relationships of the collected populations.
2. Materials and Methods
Soil samples were collected from Hendek, Pamukova, Geyve, Akyazı, and the Central districts of monoculture cereal production areas in Sakarya province in 2018 (Figure 1). Surveys were performed during wheat’s heading and flowering times for migratory nematodes and at harvesting time for the sedentary nematodes. A total of 40 soil samples were randomly collected from each location for each sampling time (Table 1).
A modified Baermann funnel technique was employed to recover motile nematodes from 100 cm3 of soil per soil sample [21]. The extracted nematodes were transferred to cylinder measures and allowed to sink and settle down at the bottom for 8 h before pouring the settled nematodes into 15 mL tubes. Migratory nematodes were counted and identified to the genus level using a light microscope (DM1000, Leica Microsystems, Wetzlar, Germany) at 100× magnification [22].
The modified sieving–decanting method was used to remove sedentary nematodes (Heterodera spp.) from 200 cm3 of soil using 60 mesh (0.25 mm) and 100 mesh (0.015 mm) sieves, as described by [21,22]. From each sample, at least ten healthy cysts were hand-picked and kept at 4 °C for genetic and morphological examinations. Sedentary nematodes were morphologically identified to the genus level under a stereomicroscope (Zeiss Stemi 305, Carl Zeiss, Jena, Germany). The incidence of the nematode (number of samples with nematode/total number of samples) was computed for each sample location [23].
Second-stage juveniles and males were relaxed in a water bath at 65 °C for 5 min, fixed in a mixture of ethanol, acetic acid, and formalin (20:6:1), processed into glycerine solution, and mounted on permanent slides with anhydrous glycerin and paraffin seal [23,24]. Measurements were taken for the following morphological structures: length, width at the midbody, stylet length, labial region height and width, dorsal oesophageal gland to spear knobs base, anterior end to the median bulb, anterior end to excretory pore, oesophageal length, width at the anus and hyaline region, tail length, hyaline tail length, and spicules length (males). To see the vulval cone, cysts were soaked in 45% of lactic acid for 15 min, transferred to water, dissected, and mounted in glycerin with a paraffin seal for viewing and analysis [23,24,25]. The vulval slit length, fenestral length, and breadth were all measured. All measurements were measured under a light microscope (CX31, Olympus, Tokyo, Japan) equipped with the Infinity Analyze software version 6.5.2 (Lumenera Inc., Ottawa, ON, Canada) [26,27].
The data were analyzed using analysis of variance (ANOVA) techniques in the SPSS 10.0 software for Windows (SPSS Inc., Chicago, IL, USA) to evaluate if there were any statistically significant differences between the populations (p ≤ 0.05). The standard test of means was used to detect if the variance across populations is statistically significant.
DNA extraction and PCR reaction to amplify the ITS of ribosomal DNA using the Direct PCR Master kit (Cat. No. PCR-111S; Jena Bioscience GmbH, Jena, Germany) following the manufacturer’s recommendations. A single cyst from each sample was used for direct PCR amplification via the Direct PCR Master kit. PCR reaction mix consisted of 1 of sample lysate, 2 µL of each 10 µM forward primer AB28 (5ʹ-CGTAACAAGGTAGCTGTAG-3ʹ), and reverse TW81 (5ʹ-TCCTCCGCTAAATGATATG3ʹ) (28); 25 µL Direct PCR Master Mix, and PCR-grade water up to 50 µL [25]. PCR conditions included initial denaturation at 94 °C for 4 min, 35 cycles at 94 °C for 1 min, 55 °C for 1.5 min, 72 °C for 2 min, and final elongation at 72 °C for 10 min in a T100 thermal cycler (Bio-Rad, Hercules, CA, USA) [28,29].
The amplicons were purified and sequenced in both directions using the same primers by a commercial sequencing company (Macrogen Inc., Seoul, Korea). The DNA sequences were edited, and consensus sequences were computed manually using Mega X computing platforms [30]. All sequences were compared against the GenBank database, National Center for Biotechnological Information (NCBI), using the BLASTn algorithm and deposited in GenBank. The obtained isolates from this study plus additional sequences retrieved from the GenBank database were aligned in the MAFFT v.7 online interface using default settings and manually edited with MEGA X. A maximum likelihood (ML) tree of ITS data set was inferred using the command-line version of IQ-TREE 1.6.7 with ultrafast bootstrapping implemented with 1000 replicates. Analyses were run on the CIPRES Science Gateway V 3.3. [30,31,32,33]. The resulting trees were analyzed and edited in FigTree v1.4.2 software. The ITS sequence of Globodera pallida (HQ670281) was included as an outgroup to facilitate the production of consensus trees.
The Shannon Diversity Index is a method to quantify species diversity in a community. It is calculated with the formula: H = −Σpi × ln(pi) that Σ: A Greek symbol that means “sum”; ln: Natural log; pi: The proportion of the entire community made up of species “I”. A higher value of H represents a higher diversity of species in a specific community, while a lower value of H indicates a lower diversity within a particular community. The Shannon Equitability Index is a method to measure the evenness of species in a community [30]. The term “evenness” (EH) signifies how related the abundances of different species are in the community [30].
EH is calculated as: EH = H/ln(S), where H is the Shannon Diversity Index and S is the total number of unique species. This value ranges from 0 to 1, where 1 signifies whole evenness [33,34]. Shannon diversity index (H) is classified based on the subsequent grouping: low (H < 2), moderate (2 < H < 4), and high (H > 4) species of gastropods [34].
3. Results
3.1. Occurrence of Plant-Parasitic Nematodes
The genera of PPNs; Helicotylenchus Steiner 1945, Heterodera Schmidt 1871, Merlinius Siddiqi 1970, Pratylenchoides Winslow 1958, Pratylenchus Filipjev 1936, Trophurus Loof 1956, Paratrophurus Arias 1970, Filenchus Andrassy 1954, Tylenchus Bastian 1865, Scutylenchus Jairajpuri 197, Amplimerlinius Siddiqi 1976, Boleodorus Thorne 1941, and Basiria Siddiqi 1959 were detected in the surveyed areas (Table 2). The PPN species were found in 92% of soil samples collected from Hendek, Pamukova, Geyve, Akyazı, and the Central districts of Sakarya province. The highest occurrence was detected in the genus of Tylenchus, having a frequency of 42% in the Geyve district, followed by Filenchus, having a frequency of 25% in the Taraklı district (Table 3). The lowest frequency was found for the genus of Boleodorus and Basiria with 5%. The economically important PPN genera detected in the surveyed areas were Pratylenchus, Heterodera, Helicotylenchus, Merlinius, Trophurus, Paratrophurus, Pratylenchoides, and Amplimerlinius (Table 3) [35,36].
The RLNs, Pratylenchus spp. populations were found in 45% of the soil samples collected from wheat fields in 18 different locations of Sakarya Province (Table 3). The nematodes were recorded from three, four, two, and five fields located in Hendek, Pamukova, Geyve, and Akyazı, respectively. Geyve has the lowest nematode occurrence rate in infested fields. The highest density of nematodes was 25 juveniles or mature nematodes per g of soil, which was obtained from Pamukova, while the lowest nematode density was detected in samples taken from Hendek (Table 4).
The cyst nematodes were found in 30% of wheat fields in Geyve, Taraklı, Söğütlü and Kaynarca in Sakarya Province. All Heterodera populations were identified as H. filipjevi based on both morphological and molecular analysis. Heterodera filipjevi was found mostly in fields where monoculture systems are practiced, such as Geyve, Taraklı, and Kaynarca districts (Table 5). High cyst incidence levels were recorded in the fields of Kaynarca and Taraklı districts. The lowest infested fields were reported from the Söğütlü district, where only one out of four fields was infested. The highest number of cysts was found in the Taraklı district with nine cysts, whereas the lowest number of two cysts was found in samples from the Central district (Table 5).
3.2. Morphological Measurements
Twelve H. filipjevi populations were identified in the samples from Geyve, Taraklı, and Central districts (Table 5). Morphometric and morphological characteristics have close similarities with those described by [37]. Lemon-shaped cysts with a posterior protuberance, the vulval cone was bifurcate with a horseshoe-shaped semifenestra and prominent bullae and underbridge (Figure 2). Cysts (n = 10) were measured for the following dimensions (range, mean, SD): body length without neck 780 µm (from 670 to 862 µm), neck length 95 µm (from 76 to 116 µm), fenestra length 52 µm (from 42 to 60 µm), and breadth 24.5 µm (from 21 to 27 µm) (Table 6). Juveniles in their second stage had a cylindrical form with a slightly offset head and a tapering circular tail tip. The stylet was robust, with shallow concave basal knobs on the front side (Figure 2). Heterodera filipjevi juveniles had a body length of 477–516 µm and a stylet length of 22–25 µm (Table 6), with fairly concave stylet knobs. Lateral fields were divided into four different lines; however, only the two inner lines were sometimes distinct.
Shannon diversity index (H) is classified based on the subsequent grouping: low (H < 2); moderate (2 < H < 4); and high (H > 4) species of gastropods [34]. In this study, the Shannon diversity index (H) was calculated as H = 2.31767 in 12 migratory nematode species in wheat fields. The value of the H index is between 2 and 4, which means moderate diversity of nematode genus. The evenness value was calculated as EH = 0.932699. These results showed that nematode evenness was high in wheat-planted areas because EH is close to 1 (Table 7).
3.3. Molecular Features
The sequences of the ITS rRNA gene recovered from the Sakarya Province population of H. filipjevi (Sak_Hf11) varied by 1 bp from other H. filipjevi population. Figure 3 depicts the phylogenetic connections of Sakarya populations of H. filipjevi to other populations derived from GenBank and species in the Avenae group. The phylogenetic relationships of H. filipjevi populations were compared to sequences from other countries, including China, the USA, Italy, and Türkiye. The phylogenetic tree was constructed using 1000 bootstrapped sequence alignments randomly replicated globally. The H. filipjevi sequences constitute a single clade within the tree.
Results indicated a clear separation of the cyst nematode, H. filipjevi confirmed the link between genotyping and phenotyping traits. Any intraspecific polymorphism was not found among H. filipjevi populations placed in the same phylogenetic group and contributed to GenBank, as indicated by high bootstrap values (Figure 3). All accession numbers provided by GenBank for the populations obtained in this study are shown in Figure 3.
4. Discussion
The results indicated that plant-parasitic nematodes were found in 92% of soil samples, and 13 taxa of nematodes were recovered from cereal roots and soil samples. Helicotylenchus spp., Heterodera spp., Merlinius spp., Pratylenchoides spp., Pratylenchus spp., Trophurus spp., Paratrophurus spp., Filenchus spp., Tylenchus spp., Scutylenchus spp., Amplimerlinius spp., Boleodorus spp., and Basiria spp. were detected in the surveyed areas. Apart from Pratylenchoides sheri, Merlinus brevidens, Amplimerlinus vicia, Paratrophurus striatus, and P. acristylus, the most prevalent genera of PPNs were discovered previously in wheat-producing regions of Türkiye’s Southeast Anatolian region [38]. Merlinius brevidens, Scutylenchus quadrifer, H. latipons, P. thornei, and Aphelenchus avenae were the most frequently discovered PPNs in the cereal cropping system of Adıyaman region in Türkiye [39]. Consequently, the identified genera are economically significant for grain production in Sakarya Province.
The findings of this study revealed that there is an intensive presence of cereal cyst nematode species H. filipjevi in cereal growing locations (wheat and barley areas as main crops) from Geyve, Taraklı, Söğütlü, and Kaynarca districts. The results suggested that 24% of the soil samples were infested with H. filipjevi in wheat production areas in Sakarya Province. The fields where cyst nematodes were not detected were generally rotated with other non-cereal crops. However, H. filipjevi was found mostly in monoculture system in Geyve, Taraklı, Söğütlü, and Kaynarca districts (Table 3). High cyst incidence levels were recorded, e.g., four out of five and three out of four fields were infested in Kaynarca and Taraklı districts, respectively. Söğütlü district has the lowest prevalence of infested fields, with just one out of every four fields affected. In an earlier study, the most extensively dispersed species were H. filipjevi, H. latipons, P. thornei, and P. neglectus in the Anatolia region of Türkiye [18]. Another study demonstrated that 56% of wheat fields in Elazig, Malatya, Sivas, Erzurum, Erzincan, Igdir, and Kars provinces in Türkiye were infected with H. filipjevi [36]. Imren et al. [40] observed that 83% of wheat fields in Bolu province, Türkiye, were infected with the cereal cyst nematode, H. filipjevi.
Toktay et al. reported that the most prevalent phytophagous nematodes in cereal soils in Niğde province were those belonging to the genera Heterodera, Ditylenchus, Merlinius, Pratylenchus, Aphelenchus, Aphelenchoides, Tylenchus, Helicotylenchus, Trophurus, Pratylenchoides, Filenchus, and Xiphinema. [41]. It suggests that the presence of climatic circumstances conducive to H. filipjevi completing its life cycle may be a significant element in presenting a danger to grain output in Sakarya Province.
The findings of this current study suggested that there is no discernible variability in H. filipjevi populations based on morphological variables, confirming that cyst and J2 body measurements vary. H. filipjevi is a close relative of H. avenae, with minor morphological differences separating them [36,37]. H. filipjevi has smaller bullae and a noticeable, though narrow, underbridge. H. latipons, on the other hand, was identified from H. filipjevi by its strong underbridge and lack of conspicuous bullae in the vulval cone. The absence of an underbridge and the presence of bullae around the vulval cone of H. filipjevi cysts are acknowledged as useful physical characteristics for identification. The vulval cones of H. filipjevi and H. latipons are readily differentiated by an underbridge and bullae in H. latipons [13,42,43]. In comparison to H. latipons, H. filipjevi second-stage juveniles have a longer tail, stylet, and hyaline section of the tail [42,43].
The Shannon diversity index estimates the diversity of species within a community and shows how diverse the species in a particular community are and their relative abundance [34]. The Shannon biodiversity index of migratory nematodes in wheat fields was moderate. This implies that wheat affects on nematode community. It is expected that nematode richness in the soil would be high in usually undisturbed ecosystems by human beings. This situation suggests that it may be related to monoculture agriculture (Table 7).
DNA data to determine phylogeny are well established for various groups of animals. Numerous articles have shown that molecular data may be a very significant resource for cyst nematode systematics [44,45,46,47,48]. The genetic variety of species, both inter- and intra-specific, has been found to be beneficial in identifying the nematode phylogeny. The use of molecular approaches in combination with the analysis of ribosomal RNA gene (rRNA) sequences has bolstered our confidence in our understanding of cyst nematode relationships [49,50]. Ribosomal RNA genes are one of the most well-characterized gene families in worms [51,52]. While the majority of the RNA genes are highly conserved, there is significant diversity in discrete parts of the genes, as well as the length and sequence of the spacer regions. Unlike their spacer sections, the ribosomal genes change slowly but retain some useful genetic information.
Typically, the rRNA array consists of three ribosomal genes, 18S, 5.8S, and 28S, which are linked in repeating units together with their spacer segments, ITS1 and ITS2. This work demonstrated the significance of certain cyst and J2 body dimension traits in identifying various populations of H. filipjevi by comparing them to rDNA sequences. Molecular and morphological evidence indicate that species within the H. filipjevi population may be classified as a single group. Similarly, Bekal et al. [38] and Imren et al. [40] found little genetic diversity amongst H. filipjevi populations of Türkiye’s Mediterranean area. Subbotin et al. [42], on the other hand, discovered intraspecific polymorphism within the H. filipjevi population. Toktay et al. [1] have also reported the presence of intraspecific diversity in Türkiye’s Eastern Anatolian area of H. filipjevi population.
5. Conclusions
The main goal of this research was to identify the eco-regional distribution of the major genera of plant-parasitic nematodes in Sakarya Province, with a focus on the cereal cyst nematode species H. filipjevi. In conclusion, this survey makes the following recommendations to local technical personnel and researchers: diversify wheat cultivars to include durum wheat in areas with high cyst counts, as resistant durum wheat than spring wheat; apply cultural practices, especially crop rotation practices; breeding for germplasms with high resistance potentials against cereal cyst nematodes; and finally, educate more technical staff to work on soil-borne disease topics in the region. Additional extensive surveys in Sakarya province and comprehensive pathotype investigations of H. filipjevi are still required to draw a suitable control strategy.
Author Contributions
Conceptualization, M.İ., A.A.D. and A.İ.K.; methodology, G.Ö., A.İ.K., M.İ. and Ş.Y.; validation, M.İ. and G.Ö.; formal analysis, M.İ., G.Ö. and R.B.; writing—review and editing, G.Ö., A.İ.K., M.İ., Ş.Y., A.Ö.; E.Y., R.B., R.L., B.S. and A.A.D. All authors have read and agreed to the published version of the manuscript.
Funding
The research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data generated in this study are available upon reasonable request to the corresponding author.
Acknowledgments
The authors wish to thank the International Maize and Wheat Improvement Center (CIMMYT) for the support they provided for this study.
Conflicts of Interest
The authors declare no conflict of interest.
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Figure 1.
Surveyed locations in the Sakarya province for plant-parasitic nematodes.
Figure 2.
Heterodera filipjevi image under light microscope: (A) second stage juveniles; (B) head region; (C) tail region; (D) fenestral region.
Figure 2.
Heterodera filipjevi image under light microscope: (A) second stage juveniles; (B) head region; (C) tail region; (D) fenestral region.
Figure 3.
Phylogenetic tree based on maximum-likelihood using IQ-TREE ITS sequences of Heterodera populations. The bootstrap values (left) are at each node. Isolates obtained in this study are indicated in bold.
Figure 3.
Phylogenetic tree based on maximum-likelihood using IQ-TREE ITS sequences of Heterodera populations. The bootstrap values (left) are at each node. Isolates obtained in this study are indicated in bold.
Table 1.
The locations of the plant-parasitic nematodes collected from different wheat fields in the Sakarya province.
Table 1.
The locations of the plant-parasitic nematodes collected from different wheat fields in the Sakarya province.
| No. | District | Location | Latitude | Longitude |
|---|---|---|---|---|
| 1 | Hendek | Beylice | 40°83′13″ | 30°84′80″ |
| 2 | Beylice | 40°83′04″ | 30°84′24″ | |
| 3 | Bıçkıatik | 40°83′85″ | 30°85′69″ | |
| 4 | Beylice | 40°83′85″ | 30°88′34″ | |
| 5 | Beylice | 40°83′28″ | 30°86′14″ | |
| 6 | Ferizli | Karadiken | 40°96′13″ | 30°47′70″ |
| 7 | Sebiller | 40°96′13″ | 30°43′25″ | |
| 8 | Doğancı | 40°98′44″ | 30°43′06″ | |
| 9 | Karadiken | 40°95′59″ | 30°51′48″ | |
| 10 | Karadiken | 40°96′15″ | 30°43′27″ | |
| 11 | Kaynarca | Kızılcaali | 40°98′66″ | 30°40′71″ |
| 12 | Kızılcaali | 40°98′27″ | 30°40′58″ | |
| 13 | Merkez | 41°03′33″ | 30°30′77″ | |
| 14 | Küçükkaynarca | 41°03′38″ | 30°32′48″ | |
| 15 | Geyve | Merkez | 40°51′81″ | 30°30′91″ |
| 16 | Merkez | 40°51′78″ | 30°30′94″ | |
| 17 | Merkez | 40°51′74″ | 30°31′06″ | |
| 18 | Merkez | 40°50′41″ | 30°30′55″ | |
| 19 | Merkez | 40°51′18″ | 30°29′81″ | |
| 20 | Ilıca | 40°45′25″ | 30°38′10″ | |
| 21 | Çamlık | 40°45′24″ | 30°37′93″ | |
| 22 | Taraklı | Hacıyakup | 40°44′69″ | 30°37′94″ |
| 23 | Hacıyakup | 40°43′95″ | 30°43′85″ | |
| 24 | Hacıyakup | 40°43′98″ | 30°43′90″ | |
| 25 | Aksu | 40°44′64″ | 30°45′37″ | |
| 26 | Aksu | 40°44′62″ | 30°46′51″ | |
| 27 | Aksu | 40°44′52″ | 30°46′59″ | |
| 28 | Aksu | 40°44′37″ | 30°47′00″ | |
| 29 | Söğütlü | Merkez | 40°44′28″ | 30°43′80″ |
| 30 | Merkez | 40°44′13″ | 30°43′91″ | |
| 31 | Merkez | 40°86′42″ | 30°49′01″ | |
| 32 | Akyazı | Merkez | 40°89′69″ | 30°46′43″ |
| 33 | Merkez | 40°67′62″ | 30°62′37″ | |
| 34 | Şerefiye | 40°61′73″ | 30°67′32″ | |
| 35 | Şerefiye | 40°61′68″ | 30°67′43″ | |
| 36 | Merkez | 40°05′33″ | 30°85′00″ | |
| 37 | Pamukova | Merkez | 40°05′32″ | 30°85′06″ |
| 38 | Mekece | 40°45′44″ | 30°04′85″ | |
| 39 | Mekece | 40°45′51″ | 30°04′72″ | |
| 40 | Mekece | 40°45′48″ | 30°04′28″ |
Table 2.
The plant-parasitic nematodes surveyed wheat areas in Sakarya province.
| No. | Districts | Locations | Nematode Genera |
|---|---|---|---|
| 1 | Hendek | Beylice | Pratylenchus; Dorylaimida; Basiria |
| 2 | Beylice | Ditylenchus | |
| 3 | Bıçkıatik | Dorylaimida | |
| 4 | Beylice | Dorylaimida | |
| 5 | Beylice | Dorylaimida | |
| 6 | Ferizli | Karadiken | Scutylenchus; Filenchus; Dorylaimida |
| 7 | Sebiller | Helicotylenchus; Dorylaimida | |
| 8 | Doğancı | Helicotylenchus; Scutylenchus; Filenchus | |
| 9 | Karadiken | Dorylaimida | |
| 10 | Karadiken | Filenchus | |
| 11 | Kaynarca | Kızılcaali | Dorylaimida |
| 12 | Kızılcaali | Filenchus; Aphelenchus | |
| 13 | Merkez | Helicotylenchus; Scutylenchus; Dorylaimida | |
| 14 | Küçük Kaynarca | Tylenchus; Dorylaimida | |
| 15 | Geyve | Town center | Merlinius; Filenchus; Ditylenchus |
| 16 | Town center | Pratylenchus; Scutylenchus | |
| 17 | Town center | Pratylenchus | |
| 18 | Town center | Scutylenchus; Filenchus; Dorylaimida | |
| 19 | Town center | Ditylenchus; Dorylaimida | |
| 20 | Ilıca | Pratylenchus; Paratrophurus; Filenchus; Ditylenchus; Dorylaimida | |
| 21 | Çamlık | Pratylenchus; Merlinius; Dorylaimida | |
| 22 | Taraklı | Hacıyakup | Merlinius; Filenchus; Dorylaimida |
| 23 | Hacıyakup | Merlinius; Pratylenchus; Dorylaimida | |
| 24 | Hacıyakup | Ditylenchus | |
| 25 | Aksu | Scutylenchus; Filenchus | |
| 26 | Aksu | Filenchus | |
| 27 | Aksu | Ditylenchus; Tylenchus; Boleodorus | |
| 28 | Aksu | Helicotylenchus; Filenchus; Ditylenchus | |
| 29 | Hacıyakup | Pratylenchus; Merlinius; Ditylenchus; Scutylenchus Filenchus | |
| 30 | Hacıyakup | Dorylaimida | |
| 31 | Söğütlü | Mahsudiye | Pratylenchus; Aphelenchoides; Filenchus; Boleodorus; Dorylaimida |
| 32 | Town center | Ditylenchus; Dorylaimida | |
| 33 | Akyazı | Town center | Helicotylenchus; Amplimerlinius; Merlinius; Ditylenchus; Filenchus; Dorylaimida |
| 34 | Şerefiye | Helicotylenchus; Ditylenchus; Monachus; Dorylaimida | |
| 35 | Şerefiye | Aphelenchoides; Ditylenchus; Dorylaimida | |
| 36 | Kocaali | Town center | Ditylenchus; Amplimerlinius; Scutylenchus; Monachus; Scutylenchus |
| 37 | Town center | Helicotylenchus; Ditylenchus; Scutylenchus; Filenchus Dorylaimida | |
| 38 | Pamukova | Mekece | Merlinius; Ditylenchus; Filenchus; Dorylaimida |
| 39 | Mekece | Helicotylenchus; Dorylaimida | |
| 40 | Mekece | Merlinius; Ditylenchus; Tylenchus |
Table 3.
Migratory nematode genera recovered from the sampled fields in Sakarya province.
| No. | Nematode Genera | Infested Fields (%) * | Nematode Abundance ** |
|---|---|---|---|
| 1 | Merlinus | 28 | 960 ± 120 (220–1100) |
| 2 | Trophurus | 16 | 240 ± 20 (200–360) |
| 3 | Paratrophurus | 14 | 140 ± 40 (80–980) |
| 4 | Pratylenchus | 26 | 240 ± 40 (400–980) |
| 5 | Amplimerlinus | 32 | 340 ± 60 (200–880) |
| 6 | Helicotylenchus | 40 | 420 ± 50 (280–780) |
| 7 | Tylenchus | 34 | 320 ± 40 (200–480) |
| 8 | Pratylenchoides | 30 | 640 ± 160 (200–980) |
| 9 | Scutylenchus | 28 | 550 ± 60 (100–860) |
| 10 | Filenchus | 24 | 280 ± 20 (100–200) |
| 11 | Boleodorus | 20 | 120 ± 160 (140–360) |
| 12 | Basiria | 16 | 240 ± 30 (160–900) |
* (Nematode infested samples/total samples) × 100. ** Mean nematode abundance/100 g soil ± SD (min and max).
Table 4.
Infestation rate of the sampled fields by Pratylenchus spp. in Hendek, Pamukova, Geyve, and Akyazı districts in wheat fields.
Table 4.
Infestation rate of the sampled fields by Pratylenchus spp. in Hendek, Pamukova, Geyve, and Akyazı districts in wheat fields.
| No. | District | Number of Fields Surveyed | Infestation (%) | Average Number of Nematodes/100 g * |
|---|---|---|---|---|
| 1 | Hendek | 5 | 3 | 40 |
| 2 | Pamukova | 4 | 4 | 20 |
| 3 | Geyve | 7 | 2 | 15 |
| 4 | Akyazı | 5 | 5 | 25 |
| Total | 22 | 35 * | 25 | |
* Infestation based on the total number of samples (40 samples).
Table 5.
Sequenced Heterodera filipjevi samples were collected from wheat fields in Sakarya Province.
Table 5.
Sequenced Heterodera filipjevi samples were collected from wheat fields in Sakarya Province.
| No. | District | Location | Latitude | Longitude |
|---|---|---|---|---|
| 1 | Kaynarca | Kızılcaali | 40°98′66″ | 30°40′71″ |
| 2 | Kızılcaali | 40°98′27″ | 30°40′58″ | |
| 3 | Merkez | 41°03′33″ | 30°30′77″ | |
| 4 | Küçükkaynarca | 41°03′38″ | 30°32′48″ | |
| 5 | Geyve | Merkez-I | 40°50′41″ | 30°30′55″ |
| 6 | Merkez-II | 40°51′74″ | 30°31′06″ | |
| 7 | Çamlık | 40°45′24″ | 30°37′93″ | |
| 8 | Ilıca | 40°45′25″ | 30°38′10″ | |
| 9 | Taraklı | Hacıyakup-I | 40°44′69″ | 30°37′94″ |
| 10 | Hacıyakup-II | 40°43′95″ | 30°43′85″ | |
| 11 | Aksu | 40°44′64″ | 30°45′37″ | |
| 12 | Söğütlü | Merkez | 40°89′69″ | 30°46′43″ |
Table 6.
Morphological and morphometrical characteristics of second juveniles and cysts of Heterodera filipjevi populations (n = 10); measurement unit in µm.
Table 6.
Morphological and morphometrical characteristics of second juveniles and cysts of Heterodera filipjevi populations (n = 10); measurement unit in µm.
| Morphological Characters | Geyve | Taraklı | Kaynarca | Söğütlü |
|---|---|---|---|---|
| Body length | 521.3 ± 4.84 b,* (482.8–542.5) | 548.3 ± 3.74 a (471.8–588.6) | 518.9 ± 6.62 b (467.8–548.5) | 556.3 ± 7.52 a (481.5–589.8) |
| Stylet length | 23.2 ± 0.45 b (22.2–25.6) | 24.9 ± 0.32 a (22.5–27.6) | 23.5 ± 0.49 b (21.6–24.8) | 24.2 ± 0.38 a,b (21.6–25.9) |
| Tail length | 50.45 ± 1.86 c (43.4–62.6) | 52.66 ± 3.35 b (41.6–64.6) | 54.68 ± 3.94 a (45.6–66.8) | 51.24 ± 4.52 b (42.5–67.6) |
| Hyaline tail tip length | 25.6 ± 1.32 b (21.4–34.5) | 26.6 ± 2.57 a (22.4–32.3) | 25.8 ± 1.45 b (21.9–37.6) | 25.4 ± 1.88 b (20.4–36.4) |
| Fenestral length | 51.32 ± 2.32 b (42.1–63.4) | 58.34 ± 3.44 a (43.8–68.4) | 54.54 ± 2.32 a,b (45.2–63.2) | 48.34 ± 1.64 b (40.2–59.8) |
| Semifenestral width | 20.4 ± 2.43 c (15.2–26.6) | 24.4 ± 2 a (16.7–24.6) | 23.2 ± 1.04 a,b (16.8–27.5) | 22.4 ± 2.09 b (15.2–28.6) |
| Vulval bridge width | 10.56 ± 1.32 b (6.8–17.2) | 14.44 ± 2.43 a (9.2–18.6) | 12.09 ± 2.33 a,b (7.88–16.54) | 15.65 ± 2.33 a (9.2–17.5) |
| Vulval slit length | 19.5 ± 1.02 b (12.6–25.8) | 22.6 ± 1.58 a (10.3–26.2) | 20.2 ± 2.34 a,b (13.4–25.6) | 18.2 ± 3.32 b (13.3–25.5) |
* Means in the same raw followed by the same letter(s) were not significantly different according to Tukey HSD test (p ≤ 0.05).
Table 7.
Diversity of migratory nematodes in wheat field using Shannon diversity index.
| Nematode Genus | Average Number of Nematodes/100 g Soil (Frequency) | pi | ln(pi) | pi × ln(pi) |
|---|---|---|---|---|
| Merlinus | 960 | 0.213808 | −1.54267 | −0.32984 |
| Trophurus | 240 | 0.053452 | −2.92897 | −0.15656 |
| Paratrophurus | 140 | 0.031180 | −3.46797 | −0.10813 |
| Pratylenchus | 240 | 0.053452 | −2.92897 | −0.15656 |
| Amplimerlinus | 340 | 0.075724 | −2.58066 | −0.19542 |
| Helicotylenchus | 420 | 0.093541 | −2.36935 | −0.22163 |
| Tylenchus | 320 | 0.071269 | −2.64129 | −0.18824 |
| Pratylenchoides | 640 | 0.142539 | −1.94814 | −0.27769 |
| Scutylenchus | 550 | 0.122494 | −2.09969 | −0.25720 |
| Filenchus | 280 | 0.062361 | −2.77482 | −0.17304 |
| Boleodorus | 120 | 0.026726 | −3.62212 | −0.09680 |
| Basiria | 240 | 0.053452 | −2.92897 | −0.15656 |
| Total | 4490 | 1 | −31.8336 | −2.31767 |
| H = 2.31767 | ||||
| EH = 0.932699 | ||||
“H” represents the Shannon diversity index; “EH” indicates the evenness; “pi” indicates the proportion of the entire community made up of species i; “ln” represents the natural log
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Keçici, A.İ.; Bozbuğa, R.; Öcal, A.; Yüksel, E.; Özer, G.; Yildiz, Ş.; Lahlali, R.; Slaats, B.; Dababat, A.A.; İmren, M. Diversity and Identification of Plant-Parasitic Nematodes in Wheat-Growing Ecosystems. Microorganisms 2022, 10, 1534. https://doi.org/10.3390/microorganisms10081534
AMA Style
Keçici Aİ, Bozbuğa R, Öcal A, Yüksel E, Özer G, Yildiz Ş, Lahlali R, Slaats B, Dababat AA, İmren M. Diversity and Identification of Plant-Parasitic Nematodes in Wheat-Growing Ecosystems. Microorganisms. 2022; 10(8):1534. https://doi.org/10.3390/microorganisms10081534
Chicago/Turabian StyleKeçici, Ayça İrem, Refik Bozbuğa, Atilla Öcal, Ebubekir Yüksel, Göksel Özer, Şenol Yildiz, Rachid Lahlali, Brigitte Slaats, Abdelfattah A. Dababat, and Mustafa İmren. 2022. "Diversity and Identification of Plant-Parasitic Nematodes in Wheat-Growing Ecosystems" Microorganisms 10, no. 8: 1534. https://doi.org/10.3390/microorganisms10081534
APA StyleKeçici, A. İ., Bozbuğa, R., Öcal, A., Yüksel, E., Özer, G., Yildiz, Ş., Lahlali, R., Slaats, B., Dababat, A. A., & İmren, M. (2022). Diversity and Identification of Plant-Parasitic Nematodes in Wheat-Growing Ecosystems. Microorganisms, 10(8), 1534. https://doi.org/10.3390/microorganisms10081534
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