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Article

Maize/Soybean Relay Strip Intercropping Reduces the Occurrence of Fusarium Root Rot and Changes the Diversity of the Pathogenic Fusarium Species

by
Xiaoli Chang
1,2,†,
Li Yan
2,†,
Muhammd Naeem
2,†,
Muhammad Ibrahim Khaskheli
3,
Hao Zhang
1,
Guoshu Gong
2,
Min Zhang
2,
Chun Song
2,
Wenyu Yang
2,
Taiguo Liu
1,4 and
Wanquan Chen
1,4,*
1
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
2
College of Agronomy & Sichuan Engineering Research Center for Crop Strip Intercropping system, Sichuan Agricultural University, Chengdu 611130, Sichuan Province, China
3
Department of Plant Protection, Faculty of Crop Protection, Sindh Agriculture University, Tandojam 70060, Pakistan
4
National Agricultural Experimental Station for Plant Protection, Ministry of Agriculture and Rural Affairs, Tianshui 741000, Gansu Province, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Pathogens 2020, 9(3), 211; https://doi.org/10.3390/pathogens9030211
Submission received: 6 February 2020 / Revised: 8 March 2020 / Accepted: 10 March 2020 / Published: 13 March 2020
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Abstract

:
Fusarium species are the most detrimental pathogens of soybean root rot worldwide, causing large loss in soybean production. Maize/soybean relay strip intercropping has significant advantages on the increase of crop yields and efficient use of agricultural resources, but its effects on the occurrence and pathogen population of soybean root rot are rarely known. In this study, root rot was investigated in the fields of the continuous maize/soybean strip relay intercropping and soybean monoculture. Fusarium species were isolated from diseased soybean roots and identified based on sequence analysis of translation elongation factor 1α (EF-1α) and RNA polymerase II second largest subunit (RPB2), and the diversity and pathogenicity of these species were also analyzed. Our results showed that intercropping significantly decreased soybean root rot over monoculture. A more diverse Fusarium population including Fusarium solani species complex (FSSC), F. incarnatum-equiseti species complex (FIESC), F. oxysporum, F. fujikuroi, F. proliferatum and F. verticillioides, F. graminearum and F. asiaticum was identified from intercropping while FSSC, FIESC, F. oxysporum, F. commune, F. asiaticum and F. meridionale were found from monoculture. All Fusarium species caused soybean root infection but exhibited distinct aggressiveness. The most aggressive F. oxysporum was more frequently isolated in monoculture than intercropping. FSSC and FIESC were the dominant species complex and differed in their aggressiveness. Additionally, F. fujikuroi, F. proliferatum and F. verticillioides were specifically identified from intercropping with weak or middle aggressiveness. Except for F. graminearum, F. meridionale and F. asiaticum were firstly reported to cause soybean root rot in China. This study indicates maize/soybean relay strip intercropping can reduce soybean root rot, change the diversity and aggressiveness of Fusarium species, which provides an important reference for effective management of this disease.

1. Introduction

Fusarium root rot has been considered as one of the most destructive soil-borne diseases in almost all soybean growing areas worldwide and causes a drastic reduction in the optimum yield and ultimately the substantial economic losses [1]. So far, it has reported that more than 20 Fusarium species are pathogenic to soybean [2,3,4,5,6,7,8]. However, the diversity and pathogenicity of these Fusarium species can be often affected by climate factors, soybean cultivars, cropping pattern and other agricultural practices. Although high disease-resistant cultivars of soybean are still lacking [9,10], several other disease management practices including chemical fungicides [11], biological control agents [12,13], crop rotation/intercropping [14,15] and tilling [16], have been commonly adopted to control the Fusarium root rot.
Intercropping has been well known as one kind of the sustainable agricultural cropping patterns around the world [17,18,19]. Many studies have demonstrated that intercropping not only has obvious advantages on the increase of crop productivity [20,21,22] and efficient exploration of agricultural resources [23,24] when compared with crop monoculture, but simultaneously it can also suppress the soil-borne diseases [17]. Recent research indicated that intercropping reduced the occurrence of Phytophthora blight of pepper in maize/pepper intercropping [25], suppressed the incidence of Fusarium wilt of watermelon in rice/watermelon intercropping [26] and wheat/maize intercropping [15,27], and soybean red crown rot caused by Cylindrocladium parasiticum in maize/soybean intercropping [14]. Moreover, intercropping can affect soil microbial communities, reduce the attacks of pathogens and inhibit soil-borne diseases [14,17,25,28,29]. Nowadays, several intercropping patterns have been widely practiced in Asia, Latin America, Africa and other European countries regarding to local crop species and diverse climate conditions [18,19,30]. However, there is still very limited knowledge on the effects and underlying mechanisms of distinct intercropping patterns on controlling soil-borne diseases.
Recently, a maize/soybean relay strip intercropping, which is characterized by two rows of maize intercropped with two-to-four rows of soybean, has been developed in Southwest China aiming to efficiently exploit the locally limited solar-thermal and soil resources [19,31]. A range of recent studies have demonstrated that in contrast to monoculture, this creative intercropping increases crop yield [32], enhances land equivalent ratio (LER) [31], improves soil quality [33,34], suppresses field weeds [35], disease and pests [36]. Currently, the planting area of the maize/soybean relay strip intercropping system has been widely increasing in Southwest China and has also been used in the other single-season cropping areas [19]. Nevertheless, very few investigations are conducted to determine the influences of this system on soil-borne diseases such as soybean root rot.
The objectives of the present study were to investigate the incidence of soybean root rot and compare the diversity and pathogenicity of Fusarium species in soybean monoculture and maize/soybean relay strip intercropping. Our study will provide some references for better understanding the influence of the intercropping systems on the soil-borne diseases and the pathogen population, and this may be helpful to formulate the agricultural practices for sustainable disease management.

2. Results

2.1. Occurrence of Soybean Root Rot in Soybean Monoculture and Maize/Soybean Relay Strip Intercropping

In this study, we investigated the occurrence of soybean root rot in soybean monoculture and intercropping from 2015 to 2018. We found that disease incidence (DI) of soybean root rot was steady from 2015 to 2017 in both cropping patterns, whereas a significant increase (p < 0.05) was observed in 2018 when the DI reached up to 61.02% in monoculture and 24.28% in intercropping, respectively (Figure 1A). In addition, the DI in monoculture was always significantly higher (p < 0.05) than that in intercropping each year (Figure 1A). Similarly, the disease severity index (DSI) of root rot gradually increased as the planting continued over year, and it rose up to 17.88 in monoculture in 2018 which was almost 2-fold higher than that in intercropping (Figure 1B). Thus, the continuous planting increased soybean root rot in both planting patterns, but maize/soybean relay strip intercropping was able to decrease the DI and DSI of soybean root rot as compared to monoculture.

2.2. Identification of Fusarium Species from Soybean Monoculture and Maize/Soybean Relay Strip Intercropping

After isolation and purification, a total of 37 isolates were obtained from diseased soybean roots in monoculture when compared with 36 isolates in intercropping (Table 1). Partial sequences of translation elongation factor 1α (EF-1α) and RNA polymerase II second largest subunit (RPB2) gene were sequenced and blasted against the databases of Fusarium MLST (http://www.wi.knaw.nl/Fusarium/Biolomics.aspx) and FUSARIUM-ID (http://isolate.fusariumdb.org/guide.php) to identify Fusarium species. Our results showed that these isolates had more than 98% sequence similarity with 10 species or species complex including Fusarium solani species complex (FSSC), Fusarium incarnatum-equiseti species complex (FIESC), F. oxysporum, F. commune, three species (F. fujikuroi, F. proliferatum, F. verticillioides) belonging to Fusarium fujikuroi species complex (FFSC) and three species (F. graminearum, F. asiaticum and F. meridionale) in the Fusarium graminearum species complex (FGSC) (Table 1).
For phylogenetic analysis, the maximum-parsimony (MP) tree was constructed based on both EF-1α and RPB2 gene sequences of 37 isolates from monoculture, 36 isolates from intercropping, 22 referred isolates and 2 Nectriaceae sp. isolates (NRRL52709 and NRRL52754) as outgroup in Figure 2. The parameters for this tree were followed as 1053 for tree length (TL), 0.762 for consistency index (CI), 0.975 for retention index (RI) and 0.734 for rescale consistency index (RCI), respectively. As shown in Figure 2, all isolates were clearly classified into 10 species or species complex including FIESC, FSSC, F. oxysporum, F. commune, F. fujikuroi, F. proliferatum, F. verticillioides, F. graminearum, F. asiaticum and F. meridionale, which was in agreement with Blastn analysis. The clade bootstrap support values were over 96 for all species and species complex branches. In addition, there was no obvious intraspecies genetic differentiation of Fusarium population between monoculture and intercropping. All sequences of EF-1a and RPB2 genes have been submitted to NCBI database and GenBank accession numbers were listed in Table 1.

2.3. Diversity and Isolation Frequency of Fusarium Species from Monoculture and Intercropping

As shown in Figure 3, there was a significant difference (p = 0.038, Fisher’s exact test) in the isolation frequency of Fusarium species, and a higher diversity was observed in intercropping than monoculture at species level. FSSC and FIESC had the higher isolation frequency than other species in both cropping patterns. About 8.33% of F. oxysporum was obtained in intercropping as compared to 16.22% in soybean monoculture. Fusarium graminearum and F. asiaticum belonging to FGSC covered 8.34% of those isolates in intercropping, whereas a combination of F. asiaticum and F. meridionale in the same species complex accounted for 18.92% in monoculture. We also noticed that F. verticillioides, F. proliferatum and F. fujikuroi in the FFSC were specifically isolated from intercropping pattern with the isolation frequency for 11.11%, 2.78% and 8.33%, respectively, while F. commune as the specific species exhibited 2.7% of Fusarium isolates from monoculture. Thus, our results demonstrated that FSSC and FIESC were the dominant species in both cropping systems, but the specifically-isolated FFSC coupled with almost 2-fold lower percentage of both F. oxysporum and species in the FGSC was clearly present in maize/soybean relay strip intercropping rather than soybean monoculture.

2.4. Pathogenicity of Fusarium Species from Monoculture and Intercropping

To test the pathogenicity of Fusarium species identified from soybean monoculture and maize/soybean relay strip intercropping, symptoms of soybean root rot were observed after 15-day inoculation with the representative Fusarium isolates, and the disease severity index (DSI) was calculated according to disease severity caused by Fusarium species. Our results showed that all the representative isolates were able to infect soybean root and caused stunted, brown, rotted taproots and hair roots when compared with the control soybean seedlings (Figure 4). There was obvious different aggressiveness for each Fusarium species, but the representative isolates of each Fusarium species had almost the same DSI in the corresponding cropping pattern. In addition, Fusarium infection resulted in a significant reduction of seedling length and fresh weight of soybean compared with the un-inoculated control soybean in both monoculture (Figure 5A,C) and intercropping (Figure 5C,D).
Among all Fusarium species, F. oxysporum was the most aggressive species with the DSI up to 91.59 in monoculture and 86.63 in intercropping, respectively (Figure 5A,B), and meanwhile it sharply reduced seedling height and fresh weight (Figure 5C–F), affected the development of hair root and resulted in severe rotted taproots of soybean seedlings (Figure 4). Regarding the species belonging to FGSC, F. meridionale (B2s2) and F. asiaticum (B3s3 and B8s1) from monoculture were secondly aggressive to soybean seedlings and caused obvious rotted taproots while F. graminearum (A2s4) and F. asiaticum (A3s1) from intercropping had relatively lower DSI. Although both FIESC and FSSC were most frequently isolated in both cropping patterns, they showed different aggressiveness when infected the soybean seedlings. FIESC caused nearly the same disease symptoms in both cropping patterns, whereas FSSC from intercropping was more aggressive than those from monoculture (Figure 5A,B). Interestingly, F. fujikuroi, F. verticillioides and F. proliferatum in the FFSC which were specially identified from intercropping had obvious difference in their aggressiveness after inoculation on soybean with the DSI ranging from 34.92 (A9s5) to 54.50 (A8s3) (Figure 5). Moreover, F. commune (B9s5) as one specific species of monoculture had weak aggressiveness on soybean. In general, our results demonstrated that there were more aggressive Fusarium species with high isolation frequency in monoculture than intercropping, and meanwhile these Fusarium species had also much stronger inhibition effects on seedling length and fresh weight.

3. Discussion

Intercropping has been widely used as an effective agricultural strategy to control soil-borne diseases [17]. Previous studies have proved that intercropping reduces Phytophthora blight of pepper [25], Fusarium wilt of watermelon [15,27], and red crown rot of soybean [14]. Consistently, our studies found that the maize/soybean relay strip intercropping significantly decreased the incidence of soybean root rot by approximately 18.5%–36.7% compared with monoculture (Figure 1). A recent report has revealed that maize plant forms an unavailable non-host “root wall” when intercropped with pepper, thus decreasing the Phytophthora disease of pepper [25]. Under our maize/soybean intercropping pattern, roots of two-row maize plants constitute a physical barrier between two-row soybean strips below the ground (Figure 6B), and this special root space distribution might be very difficult for the dispersion of pathogenic Fusarium species across soybean roots in the rhizosphere [43]. In addition, some reports demonstrated that root secretion from intercropped wheat inhibited spore germination, sporulation and growth of the soil-borne F. oxysporum f. sp. niveum causing Fusarium wilt of watermelon [15], and on the other hand it also enhanced the crop resistance through the induction of PRs gene expression and accumulation of phenolic acids in a root-dependent manner [14,15]. Regarding to our intercropping system, maize plants were relay strip intercropped with soybean with the distance of 0.6 cm that probably is difficult for direct root interaction, but this specific intercropping contributes a lot to a positive interspecific facilitation, improves root nutrition and increases productivity of soybean crop [34,44]. Therefore, we predict that intercropped maize might alter the pathogen establishment and enhance the soybean resistance through formation of root barrier or root interaction.
Previous studies have demonstrated that negative interactions among Fusarium species through competition for space niche and feed resources can effectively affect Fusarium growth and their infection on hosts [45,46]. It has showed that F. verticillioides has a better growth and a higher spore production than F. graminearum when co-inoculated with maize [45]. Other studies found that as the most important pathogenicity factor of Fusarium species, mycotoxin production was also significantly changed in competing interactions. For example, fumonisins, mainly produced by F. verticillioides, F. proliferatum and F. fujikuroi, were commonly reduced in competing interactions, whereas the DON produced by F. graminearum was increased [47]. In this study, we identified a total of 10 Fusarium species/complex including FIESC, FSSC, F. oxysporum, F. verticillioides, F. fujikuroi, F. proliferatum, F. commune, F. graminearum, F. asiaticum and F. meridionale in location field experiments from two cropping patterns, which is nearly consistent with our previous studies that a co-occurring Fusarium species caused soybean root rot in this region [48]. We also observed a more diverse Fusarium population (8/10) in intercropping than those (6/10) in monoculture, but the DSI over 60.0% caused by Fusarium species accounted for 25.0% (2/8) in intercropping which was lower than 66.7% (4/6) in monoculture. This indicated that low disease incidence and disease severity index of soybean root rot in intercropping might be associated with a more diverse Fusarium community and their negative interactions, thus resulting in low pathogenic responses to soybean.
To be worthwhile, F. vericillioides, F. fujikuroi and F. proliferatum classified into the FFSC were specifically isolated from intercropping. Actually, they are among important pathogens causing maize ear rot and stalk rot in Sichuan Province and other countries [49,50,51,52]. In this study, the co-growth period for maize and soybean lasts more than two months in our maize/soybean relay strip intercropping pattern, and this might provide enough time for the dispersion of Fusarium spores causing maize stalk rot to soybean becoming the inoculums of seedling blight and pod decay of soybean [53]. Furthermore, after harvest, these Fusarium species also can survive saprophytically and accumulate largely on maize and soybean debris, even on or inside field soil, thus may serve as primary inocula for soybean infection in the following year [54]. From this point, there is the possibility for intercropping to increase the risks of root rot through the cyclic infection of some Fusarium species in maize and soybean. Thus, it is very necessary to conduct field studies to further investigate the cross-pathogenicity and cyclic infection of these common species, and how they could be managed in an integrated system by effective agricultural practices.
Moreover, we identified three members of FGSC including F. graminearum, F. asiaticum and F. meridionale as the pathogens of soybean root rot in this location field experiment, in particular, F. asiaticum and F. meridionale were firstly reported from soybean in China. It is well-known that F. graminearum is the most destructive pathogens of Fusarium head blight (FHB) [55,56] and maize ear and stalk rot in China and many other countries [51,52,57,58], while F. asiaticum was more frequently isolated with isolation frequency up to 60% than F. graminearum in Southwest China [56]. Fusarium meridionale is the predominant species on maize in Nepal and Northern Argentina [56] but at quite low frequency in other countries such as South Korea [59]. In our previous studies, F. meridionale was only rarely isolated from wheat and maize in Southwest China including Sichuan and its surrounding areas [56,57], but the factors which influence its distribution are still unknown. In this study, we found that F. meridionale was specifically associated with monoculture system, indicating that F. meridionale may show host preference on soybean rather than maize and wheat. Some researches suggested that the cropping system was more important in determining the regional prevalence of Fusarium species associated with FHB [60,61]. Fusarium graminearum is more frequently associated with maize and wheat rotation when F. asiaticum appear in rice and wheat rotation in Korea [61]. Similarly, multiple intercropping patterns such as rice and maize rotation, wheat/maize and maize/soybean intercropping are widely practiced in Sichuan Province of China [19], and this could put a selective stress on different hosts and help these species of FGSC to shift onto soybean from wheat or maize [56,59]. In addition, we observed that the disease incidence of root rot significantly increased in 2018 as compared to the previous years in two cropping patterns, which was followed by more rainfall days, especially mid of July 2018 during the soybean growth stage (Figure S1). This indicates some certain positive correlation exists between the incidence of Fusarium root rot and rainfall. However, the disease incidence was much higher in monoculture than intercropping, implying that intercropping has much stronger tolerance to unfavorable rainfall. Some studies have demonstrated that unusual climate changes such as severe drought and rainfall damage the natural capacity of soil microbes to suppress soil-borne plant pathogens, contributing to increased disease outbreaks [62].
Currently, the maize/soybean relay strip intercropping has been recognized by Chinese government as one major promotional agricultural cropping pattern because of its competitive advantages on the high yield per unit area and the increase of land equivalent rations (LER) over the traditional maize/soybean intercropping and soybean monoculture [31,35,63]. Our previous studies have demonstrated that the total crop yield of the maize/soybean relay strip intercropping (RIwn) was significantly higher than the traditional maize/soybean intercropping with (RIe) under a normal growing year, and the average LER of the grain yield was 1.79 for RIwn and 1.49 for RIe, respectively [63]. When compared with soybean monoculture, this specific intercropping decreased soybean yield to a small extent based on a 2-year field experiment, but additive relay strip intercropped maize increased the total crop yield in the intercropping system [63]. In this current study, a 7-year continuous intercropping caused 24.8% lower disease incidence of soybean root rot than monoculture, but the final yield of soybean was not evaluated in both cropping patterns. In the further work, the relationship between disease incidence and the crop yield under maize/soybean relay strip intercropping will be further analyzed to deep understand the underlying mechanism of this intercropping on soybean root rot and Fusarium community.

4. Materials and Methods

4.1. Field Experiments

The continuous 7-year location-specific field experiments of the maize/soybean rely strip intercropping and soybean monoculture without tillage were conducted at Yucheng District, Yaan City, P. R. China (29°59″3.17′N, 102°59″2.57′E). The soil in this field was observed as a purple clay texture with pH 6.71 and 2.86% organic matter, and the available N, P and K in the top soil profile (0–30 cm) of 117 mg·kg−1, 31.3 mg·kg−1 and 68.2 mg·kg−1, respectively. The randomized complete block design was used for both intercropping and monoculture with three replicated experimental plots. Each plot was designed for 36 m2 with 6 m in width and 6 m in length, comprising 3 strip units in intercropping and 5 rows of soybean in monoculture. For monoculture, the distance of soybean row was 0.5 m and the hole space was 34 cm in Figure 6A. The maize/soybean relay strip intercropping was planted as shown in Figure 6B according to Yang et al. [30]. For intercropping, two-row maize was spaced with two-row soybean in 2 m width as one strip intercropping unit, where the row space was 0.4 m for maize-maize or soybean-soybean and 0.6 m for maize-soybean, and the hole space was 17 cm for both crops. The soybean plants were about 210 in each field of both planting systems. Maize cultivar “Denghai605” and soybean cultivar “Nandou12” were continuously used from 2012 to 2018. Maize was sown in late May and harvested in Mid-August, and soybean was sown in Mid-June and harvested in late October, respectively. All these experiment field were not tilled every year before sowing.

4.2. Investigation and Sampling of Soybean Root Rot

Soybean root rot was surveyed from maize/soybean relay strip intercropping and soybean monoculture at R2 growth stages according to Killebrew et al. [64] from 2015 to 2018. The disease incidence (DI) and disease severity index (DSI) of root rot were calculated from three replicated experimental plots according to the formula referred to Liu et al. [12]. Total of 18 plants, showing typical symptoms of brown taproots and hair roots, withered and yellowish leaves, were collected from each location field in two planting patterns and were used for pathogen isolation.

4.3. Isolation of Fusarium Species

The diseased roots were washed with tap water, cut into small pieces (approximately 1 mm2), and surface-sterilized with 75% ethanol (v/v) for 30 s, 1% NaOCl (w/v) for 10 s and rinsed three times with sterile distilled water. These pieces were placed on Petri dishes containing potato dextrose agar (PDA, 200 g∙L−1 potato, 10 g∙L−1 glucosum anhydricum and 15 g∙L−1 agar), and then incubated at 25 °C for 7–10 days in the darkness. All isolates were purified by cutting marginal hyphae and then transferred onto new PDA dishes as test isolates for further analysis according to Chang et al. [48]. The information of isolates was listed in Table 1.

4.4. PCR Amplification and Phylogenetic Analysis

For molecular identification, the fungal mycelia were collected from 7-day-old isolates on PDA dishes and then grounded in liquid nitrogen with a disposable pellet pestle. Total genomic DNA of all isolates was extracted using a SP Fungal DNA Kit (Aidlab Biotech, Chengdu, China) according to the manufacturer’s protocols. Partial gene sequences of translation elongation factor 1-alpha (EF-1α) and RNA polymerase beta large subunit II (RPB2) were amplified using the primer pairs EF1/EF2 [38] and RPB2-5f2 /RPB2-7cr [38], respectively. PCR reaction was conducted in a total volume of 25 μL containing DNA template 1 μL, each primer 1 μL (10 μM), Taq PCR Mastermix (Sangon Biotech, Shanghai, China) 12.5 μL and DNase free water 9.5 μL. Amplification conditions were 5 min at 94 °C, followed by 35 cycles of denaturation at 94 °C for 30 s, annealing at 55 °C for 30 s, initial extension at 72 °C for 1 min and kept at 72 °C for 10 min. PCR products were detected by 1.5% agarose gel electrophoresis and then sequenced by an ABI-PRISM3730 automatic sequencer (Applied Biosystems, Foster, CA, USA) in Sangon Biotech Co., Ltd. (Shanghai, China).
For phylogenetic analysis, amplified sequences of EF-1α and RPB2 gene were blasted on the databases of FUSARIUM-ID (http://isolate.fusariumdb.org/guide.php) and Fusarium MLST (http://www.wi.knaw.nl/Fusarium/Biolomics.aspx). The referred isolate information of Fusarium species were obtained and listed in Supplementary Materials Table S1. All sequences were edited and aligned with Clustal X 1.83, and characters were weighed equally. A maximum-parsimony (MP) tree was conducted with MEGA 6.0 using the Nearest-Neighbor-Interchange Heuristic method based on both EF-1α and RPB2 sequences. Clade support was inferred from 1000 bootstrap replicates, and alignment gaps were excluded. The tree parameters including tree length (TL), consistency index (CI), retention index (RI) and rescale consistency index (RCI) were also calculated. Novel sequence data were deposited in GenBank and the alignment in TreeBASE (www.treebase.org).

4.5. Pathogenicity Tests of Fusarium Species

To complete Koch’s postulates, the representative strains from all identified Fusarium species were tested for pathogenicity on the seedling of soybean cultivar Nandou12 through inoculated sorghum grains as described by Chang et al. [48]. Sorghum grains were soaked in distilled water in a 250 mL flask overnight and autoclaved for 60 min twice. About 10–15 pieces of mycelium plugs from PDA colonies after 5 days culture were inoculated into sorghum grains and incubated at 25 °C in the dark for 10 days to obtain the infested sorghum grains. After germination, seeds of cv. Nandou 12 were sowed in plastic pots containing the mixture of autoclaved Pindstrup substrate with infested sorghum grains (3:1, w/w). Soybean seeds were un-inoculated with sorghum grains as control. Nine plastic pots for each isolate were prepared with two seeds per pot. All inoculated soybeans were incubated in a chamber at 25 °C with 85% relative humidity under 12 h light alternated with 12 h darkness. This experiment was performed for 3 independent replicates. After 15 days of inoculation, soybean seedlings were removed from the substrate and washed using running tap water. The presence of root rot symptoms and disease severity were evaluated using 0–4 scale as previously described by Chang et al. [48] with some modifications as follows: 0 = no symptoms, 1 = mild symptoms (discoloration but no visible lesions), 2 = obvious lesions (severe discoloration with lateral root reduction), 3 = severe lesions on the primary and lateral root and diminished plant vigor and 4 = stem rotten, plant dead. Disease severity index (DSI) was calculated according to the formula as follows. In addition, the seedling height and fresh weights of soybean were recorded.
D S I = ∑ ( s e v e r i t y r a t i n g × s e e d l i n g p e r r a t i n g ) ( t o t a l s e e d l i n g s × h i g h e s t s e v e r i t y r a t i n g ) × 100

4.6. Statistic Analysis of Data

All data were recorded and basically processed using Microsoft office Excel. Mean values of disease incidence (DI) and disease severity index (DSI) in disease field investigation were calculated from three experimental plots of soybean monoculture and maize/soybean relay strip intercropping. In the pathogenicity test, mean values of DSI, seedling height and fresh weight of soybean plants after inoculation with the representative Fusarium isolates were obtained from three independent replicates with 18 seedlings each treatment. The data correlation was conducted by generalized linear model (GLM) with quasipoisson distribution for residuals, and statistical analysis was conducted by Duncan’s test with GLM function using IBM SPSS Statistics 21. Significance difference was set at the level of p = 0.05. The isolation frequency was calculated using the percentage of the isolates of each Fusarium species in total isolates from either monoculture or intercropping, and difference of isolation of Fusarium species in each cropping pattern was analyzed by Fisher’s exact test.

5. Conclusions

In this study, the effects of maize/soybean relay strip intercropping on soybean root rot, the diversity and pathogenicity of Fusarium species were investigated in a continuous location field experiment when compared with soybean monoculture. We found that this typical intercropping significantly reduced soybean root rot and disease severity as compared to monoculture. Meanwhile, Fusarium species causing soybean root rot in intercropping were more diverse and less aggressive than those in monoculture. Thus, it can be concluded that maize/soybean relay strip intercropping has some positive effects on the reduction of Fusarium root rot probably because of the diversity increase of Fusarium species coupled with their low pathogenicity as a whole. However, the underlying mechanisms on the interaction of soybean root and soil microbes in the rhizosphere need to be further explored. In addition, in this study, several Fusarium species identified from soybean are also the pathogens of maize and pre-crop wheat, probably leading to the inoculum accumulation and cross-pathogenicity among crops, and this will increase the risk for the optimum productivity of intercropping. With respect to this, the cross-pathogenicity mechanism of the predominant Fusarium species on intercrops should be elucidated, which will provide a valuable reference for the integrated management of Fusarium root rot in soybean.

Supplementary Materials

The following are available online at https://www.mdpi.com/2076-0817/9/3/211/s1, Figure S1: Investigation of rainfall days at the growth stage of soybean during 2015–2018 in Ya’an City. Table S1: Information of reference isolates and GenBank accession numbers of RPB2 and EF-1α used for the phylogenetic analysis of Fusarium species causing soybean root rot isolated from soybean monoculture and maize/soybean relay strip intercropping.

Author Contributions

Conceptualization, X.C., L.Y. and W.C.; methodology, L.Y., M.N.; software, L.Y., M.N. and H.Z.; validation, M.N. G.G., M.I.K.; formal analysis, X.C. and L.Y.; investigation, L.Y. and C.S., writing—original draft, X.C., L.Y. and M.N.; writing—review and editing, M.I.K., W.Y. and W.C.; visualization, M.Z. and G.G.; supervision, T.L. and W.C.; project administration, X.C. and T.L.; funding acquisition, X.C. and W.C. All authors have read and agree to the published version of the manuscript.

Funding

This work was supported by National Key Research and Development Program (2018YFD0200500), National Natural Science Foundation of China (31801685), China Agriculture Research System (CARS-03), Central Public-interest Scientific Institution Basal Research Fund (grant number Y2017XM01) and Agricultural Science and Technology Innovation Program (CAAS-ASTIP).

Acknowledgments

We are thankful to Xiaoling Wu for her kindness to provide soybean cultivar used in this study.

Conflicts of Interest

The authors declare no conflict of interest in this work. All financial supports are acknowledged in the contribution. This work does not involve any human participants or animals. All authors have offered the consent to submission.

References

  1. Díaz-Arias, M.M.; Leandro, L.F.; Munkvold, G.P. Aggressiveness of Fusarium species and impact of root infection on growth and yield of soybeans. Phytopathology 2013, 103, 822–832. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Broders, K.D.; Lipps, P.E.; Paul, P.A.; Dorrance, A.E. Evaluation of Fusarium graminearum associated with corn and soybean seed and seedling disease in Ohio. Plant Dis. 2007, 91, 1155–1160. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Díaz-Arias, M.M.; Munkvold, G.P.; Leandro, L.F. First report of Fusarium proliferatum causing root rot on soybean (Glycine max) in the United States. Plant Dis. 2011, 95, 1316. [Google Scholar] [CrossRef] [PubMed]
  4. Díaz Arias, M.M.; Munkvold, G.P.; Ellis, M.L.; Leandro, L.F.S. Distribution and frequency of Fusarium species associated with soybean roots in Iowa. Plant Dis. 2013, 97, 1557–1562. [Google Scholar] [CrossRef] [Green Version]
  5. Barros, G.G.; Alaniz Zanon, M.S.; Chiotta, M.L.; Reynoso, M.M.; Scandiani, M.M.; Chulze, S.N. Pathogenicity of phylogenetic species in the Fusarium graminearum complex on soybean seedlings in Argentina. Eur. J. Plant Pathol. 2014, 138, 215–222. [Google Scholar] [CrossRef]
  6. Chang, K.F.; Hwang, S.F.; Conner, R.L.; Ahmed, H.U.; Zhou, Q.; Turnbull, G.D.; Strelkov, S.E.; McLaren, D.L.; Gossen, B.D. First report of Fusarium proliferatum causing root rot in soybean (Glycine max L.) in Canada. Crop Prot. 2015, 67, 52–58. [Google Scholar] [CrossRef]
  7. Zhou, Q.; Li, N.; Chang, K.F.; Hwang, S.F.; Strelkov, S.E.; Conner, R.L.; McLaren, D.L.; Fu, H.; Harding, M.W.; Turnbull, G.D. Genetic diversity and aggressiveness of Fusarium species isolated from soybean in Alberta, Canada. Crop Prot. 2018, 105, 49–58. [Google Scholar] [CrossRef]
  8. Nelson, B.D.; Hansen, J.M.; Windels, C.E.; Helms, T.C. Reaction of soybean cultivars to isolates of Fusarium solani from the Red River Valley. Plant Dis. 1997, 81, 664–668. [Google Scholar] [CrossRef] [Green Version]
  9. O’Donnell, K.; Sink, S.; Scandiani, M.M.; Luque, A.; Colletto, A.; Biasoli, M.; Lenzi, M.L.; Salas, G.; González, V.; Ploper, L.D.; et al. Soybean sudden death syndrome species diversity within North and South America revealed by multilocus genotyping. Phytopathology 2010, 100, 58–71. [Google Scholar] [CrossRef] [Green Version]
  10. Zhang, J.X.; Xue, A.G.; Cober, E.R.; Morrison, M.J.; Zhang, H.J.; Zhang, S.Z.; Gregorich, E. Prevalence, pathogenicity and cultivar resistance of Fusarium and Rhizoctonia species causing soybean root rot. Can. J. Plant Sci. 2013, 93, 221–236. [Google Scholar] [CrossRef]
  11. Chang, K.F.; Conner, R.L.; Hwang, S.F.; Ahmed, H.U.; McLaren, D.L.; Gossen, B.D.; Turnbull, G.D. Effects of seed treatments and inoculum density of Fusarium avenaceum and Rhizoctonia solani on seedling blight and root rot of faba bean. Can. J. Plant Sci. 2014, 94, 693–700. [Google Scholar] [CrossRef] [Green Version]
  12. Liu, L.; Kloepper, J.W.; Tuzun, S. Induction of systemic resistance in cucumber against Fusarium wilt by plant growth-promoting Rhizobacteria. Phytopathology 1995, 85, 695–698. [Google Scholar] [CrossRef]
  13. Wang, L.Y.; Xie, Y.S.; Cui, Y.Y.; Xu, J.; He, W.; Chen, H.G.; Guo, J.H. Conjunctively screening of biocontrol agents (BCAs) against fusarium root rot and fusarium head blight caused by Fusarium graminearum. Microbiol. Res. 2015, 177, 34–42. [Google Scholar] [CrossRef] [PubMed]
  14. Gao, X.; Wu, M.; Xu, R.; Wang, X.; Pan, R.; Kim, H.J.; Liao, H. Root interactions in a maize/soybean intercropping system control soybean soil-borne disease, red crown rot. PLoS ONE 2014, 9, e95031. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Lv, H.; Cao, H.; Nawaz, M.A.; Sohail, H.; Huang, Y.; Cheng, F.; Kong, Q.; Bie, Z. Wheat intercropping enhances the resistance of watermelon to Fusarium wilt. Front. Plant Sci. 2018, 9, 696. [Google Scholar] [CrossRef] [Green Version]
  16. Wei, W.; Xu, Y.L.; Zhu, L.; Zhang, S.L.; Li, S. Impact of long-term continuous cropping on the Fusarium population in soybean rhizosphere. Chin. J. Appl. Ecol. 2014, 25, 497–504. [Google Scholar]
  17. Boudreau, M.A. Disease in intercropping systems. Annu. Rev. Phytopathol. 2013, 51, 499–519. [Google Scholar] [CrossRef]
  18. Tanveer, M.; Anjum, S.A.; Hussain, S.; Cerdà, A.; Ashraf, U. Relay cropping as a sustainable approach: Problems and opportunities for sustainable crop production. Environ. Sci. Pollut. Res. 2017, 24, 6973–6988. [Google Scholar] [CrossRef]
  19. Du, J.; Han, T.; Gai, J.; Yong, T.; Sun, X.; Wang, X.; Yang, F.; Liu, J.; Shu, K.; Liu, W.; et al. Maize-soybean strip intercropping: Achieved a balance between high productivity and sustainability. J. Integr. Agric. 2018, 17, 747–754. [Google Scholar] [CrossRef] [Green Version]
  20. Li, L.; Sun, J.; Zhang, F.; Li, X.; Yang, S.; Rengei, Z. Wheat/maize or wheat/soybean strip intercropping I. Yield advantage and interspecifc interactions on nutrients. Field Crop. Res. 2001, 71, 123–137. [Google Scholar] [CrossRef]
  21. Dong, N.; Tang, M.M.; Zhang, W.P.; Bao, X.G.; Wang, Y.; Christie, P.; Li, L. Temporal differentiation of crop growth as one of the drivers of intercropping yield advantage. Sci. Rep. 2018, 8, 3110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Zhang, F.; Shen, J.; Zhang, J.; Zuo, Y.; Li, L.; Chen, X. Rhizosphere processes and management for improving nutrient use efficiency and crop productivity: Implications for China. Adv. Agron. 2010, 107. [Google Scholar] [CrossRef]
  23. Qin, A.Z.; Huang, G.B.; Chai, Q.; Yu, A.Z.; Huang, P. Grain yield and soil respiratory response to intercropping systems on arid land. Field Crop. Res. 2013, 144. [Google Scholar] [CrossRef]
  24. Mao, L.L.; Zhang, L.Z.; Li, W.Q.; Van der Werf, W.; Sun, J.H.; Spiertz, H.; Li, L. Yield advantage and water saving in maize/pea intercrop. Field Crop. Res. 2012, 138, 11–20. [Google Scholar] [CrossRef]
  25. Yang, M.; Zhang, Y.; Qi, L.; Mei, X.; Liao, J.; Ding, X.; Deng, W.; Fan, L.; He, X.; Vivanco, J.M.; et al. Plant-microbe mechanisms involved in soil-borne disease suppression on a maize and pepper intercropping system. PLoS ONE 2014, 9, e115052. [Google Scholar] [CrossRef] [Green Version]
  26. Ren, L.X.; Su, S.M.; Yang, X.M.; Xu, Y.C.; Huang, Q.W.; Shen, Q.R. Intercropping with aerobic rice suppressed Fusarium wilt in watermelon. Soil Biol. Biochem. 2008, 40, 834–844. [Google Scholar] [CrossRef]
  27. Hao, W.Y.; Ren, L.X.; Ran, W.; Shen, Q.R. Allelopathic effects of root exudates from watermelon and rice plants on Fusarium oxysporum f.sp. niveum. Plant Soil 2010, 336, 485–497. [Google Scholar] [CrossRef]
  28. Gómez-Rodrıguez, O.; Zavaleta-Mejıa, E.; Gonzalez-Hernandez, V.; LiveraMunoz, M.; Cárdenas-Soriano, E. Allelopathy and microclimatic modification of intercropping with marigold on tomato early blight disease development. Field Crop. Res. 2003, 83, 27–34. [Google Scholar] [CrossRef]
  29. Ratnadass, A.; Fernandes, P.; Avelino, J.; Habib, R. Plant species diversity for sustainable management of crop pests and diseases in agroecosystems: A review. Agron. Sustain. Dev. 2012, 32, 273–303. [Google Scholar] [CrossRef] [Green Version]
  30. Li, L.; Zhang, F.; Li, X.; Peter, C.; Sun, J.; Yang, S.; Tang, C. Interspecific facilitation of nutrient uptake by intercropped maize and faba bean. Nutr. Cycl. Agroecosyst. 2003, 65, 61–71. [Google Scholar] [CrossRef]
  31. Yang, F.; Wang, X.C.; Liao, D.P.; Lu, F.Z.; Gao, R.C.; Liu, W.G.; Yong, T.W.; Wu, X.L.; Du, J.B.; Liu, J.; et al. Yield response to different planting geometries in maize-soybean relay strip intercropping systems. Agron. J. 2015, 107, 296–304. [Google Scholar] [CrossRef]
  32. Liu, X.; Rahman, T.; Song, C.; Su, B.; Yang, F.; Yong, T.; Wu, Y.; Zhang, C.; Yang, W. Changes in light environment, morphology, growth and yield of soybean in maize-soybean intercropping systems. Field Crop. Res. 2017, 200, 38–46. [Google Scholar] [CrossRef]
  33. Yong, T.W.; Chen, P.; Dong, Q.; Du, Q.; Yang, F.; Wang, X.C.; Liu, W.G.; Yang, W.Y. Optimized nitrogen application methods to improve nitrogen use efficiency and nodule nitrogen fixation in a maize-soybean relay intercropping system. J. Integr. Agric. 2018, 17, 664–676. [Google Scholar] [CrossRef]
  34. Chen, P.; Du, Q.; Liu, X.; Zhou, L.; Hussain, S.; Lei, L.; Song, C.; Wang, X.; Liu, W.; Yang, F.; et al. Effects of reduced nitrogen inputs on crop yield and nitrogen use efficiency in a long-term maize-soybean relay strip intercropping system. PLoS ONE 2017, 12, e0184503. [Google Scholar] [CrossRef] [Green Version]
  35. Su, B.Y.; Liu, X.; Cui, L.; Xiang, B.; Yang, W.Y. Suppression of weeds and increases in food production in higher crop diversity planting arrangements: A case study of relay intercropping. Crop Sci. 2018, 58, 1729–1739. [Google Scholar] [CrossRef]
  36. Tang, Z.Q.; Shang, J.; Zhang, L.; Chen, Y.K.; Chang, X.L.; Du, J.B.; Yong, T.W.; Wu, X.L.; Yu, L.; Zeng, S.H.; et al. Effects of different field configuration modes on population distribution of soybean major insect pests. J. Sichuan Agric. Univ. 2018, 36, 297–308. [Google Scholar]
  37. Aoki, T.; Ward, T.J.; Kistler, C.; O’Donnell, K. Systematics, phylogeny and trichothecene mycotoxin potential of Fusarium Head blight cereal pathogens. JSM Mycotoxins 2012, 62, 91–102. [Google Scholar] [CrossRef] [Green Version]
  38. O’Donnell, K.; Sutton, D.A.; Rinaldi, M.G.; Sarver, B.A.J.; Balajee, S.A.; Schroers, H.J.; Summerbell, R.C.; Robert, V.A.R.; Crous, P.W.; Zhang, N.; et al. Internet-accessible DNA sequence database for identifying Fusarium from human and animal infections. J. Clin. Microbiol. 2010, 48, 3708–3718. [Google Scholar]
  39. O’Donnell, K.; Humber, R.A.; Geiser, D.M.; Kang, S.; Park, B.; Rober, V.A.R.; Crous, P.W.; Johnston, P.R.; Aoki, T.; Rooney, A.P.; et al. Phylogenetic diversity of insecticolous fusaria inferred from multilocus DNA sequence data and their molecular identification via FUSARIUM-ID and Fusarium MLST. Mycologia 2012, 104, 427–445. [Google Scholar] [CrossRef] [Green Version]
  40. O’Donnell, K.; Sutton, D.A.; Fothergill, A.; McCarthy, D.; Rinaldi, M.G.; Brandt, M.E.; Zhang, N.; Geiser, D.M. Molecular phylogenetic diversity, multilocus haplotype nomenclature, and in vitro antifungal resistance within the Fusarium solani species complex. J. Clin. Microbiol. 2008, 46, 2477–2490. [Google Scholar] [CrossRef] [Green Version]
  41. Kvas, M.; Marasas, W.F.O.; Wingfield, B.D.; Wingfield, M.J.; Steekamp, E.T. Diversity and evolution of Fusarium species in the Gibberella fujikuroi complex. Fungal Divers. 2009, 34, 1–21. [Google Scholar]
  42. O’ Donnelll, K.; Rooney, A.P.; Proctor, R.H.; Brown, D.W.; McCormick, S.P.; Ward, T.J.; Frandsen, R.J.N.; Lysөe, E.; Rehner, S.A.; Aoki, T.; et al. Phylogenetic analyses of RPB1 and RPB2 support a middle Cretaceous origin for a clade comprising all agriculturally and medically important fusaria. Fungal Genet. Biol. 2013, 52, 20–31. [Google Scholar] [CrossRef] [PubMed]
  43. Horberg, H.M. Patterns of splash dispersed conidia of Fusarium poae and Fusarium culmorum. Eur. J. Plant Pathol. 2002, 108, 73–80. [Google Scholar] [CrossRef]
  44. Yang, F.; Liao, D.; Wu, X.; Gao, R.; Fan, Y.; Raza, M.A.; Wang, X.; Yong, T.; Liu, W.; Liu, J.; et al. Effect of aboveground and belowground interactions on the intercrop yields in maize-soybean relay intercropping systems. Field Crop. Res. 2017, 2, 16–23. [Google Scholar] [CrossRef]
  45. Ferrigo, D.; Raiola, A.; Causin, R. Fusarium toxins in cereals: Occurrence, legislation, factors promoting the appearance and their management. Molecules 2016, 21, 627. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Mallon, C.A.; van Elsas, J.D.; Salles, J.F. Microbial invasions: The process, patterns, and mechanisms. Trends Microbiol. 2015, 23, 719–729. [Google Scholar] [CrossRef]
  47. Velluti, A.; Marín, S.; Gonzalez, R.; Ramos, A.J.; Sanchis, V. Fumonisin B1, zearalenone and deoxynivalenol production by Fusarium moniliforme, F. proliferatum and F. graminearum in mixed cultures on irradiated maize kernels. J. Sci. Food Agric. 2001, 81, 88–94. [Google Scholar] [CrossRef]
  48. Chang, X.L.; Dai, H.; Wang, D.P.; Zhou, H.H.; He, W.Q.; Fu, Y.; Ibrahim, F.; Zhou, Y.; Gong, G.S.; Shang, J.; et al. Identification of Fusarium species associated with soybean root rot in Sichuan Province, China. Eur. J. Plant Pathol. 2018, 151, 563–577. [Google Scholar] [CrossRef]
  49. Machado, J.D.C.; Machado, A.Q.; Pozza, E.A.; Machado, C.F.; Zancan, W.L.A. Inoculum potential of Fusarium verticillioides and performance of maize seeds. Trop. Plant Pathol. 2013, 38, 213–217. [Google Scholar] [CrossRef] [Green Version]
  50. Pedrozo, R.; Little, C.R. Fusarium verticillioides inoculum potential influences soybean seed quality. Eur. J. Plant Pathol. 2017, 148, 749–754. [Google Scholar] [CrossRef]
  51. Miedaner, T.; Bolduan, C.; Melchinger, A.E. Aggressiveness and mycotoxin production of eight isolates each of Fusarium graminearum and Fusarium verticillioides for ear rot on susceptible and resistant early maize inbred lines. Eur. J. Plant Pathol. 2010, 127, 113–123. [Google Scholar] [CrossRef]
  52. Zhou, H.H.; Yan, L.; Wang, D.P.; Yong, T.W.; Gong, G.S.; Shang, J.; Yang, W.Y.; Chang, X.L. Identification of Fusarium species causing maize stalk rot in maize soybean relay intercropping pattern in Sichuan Province. J. Sichuan Agric. Univ. 2018, 36, 598–604. [Google Scholar]
  53. Naeem, M.; Li, H.; Yan, L.; Raza, M.A.; Gong, G.; Chen, H.; Yang, C.; Zhang, M.; Shang, J.; Liu, T.; et al. Characterization and pathogenicity of Fusarium species associated with soybean pods in maize/soybean strip intercropping. Pathogens 2019, 8, 245. [Google Scholar] [CrossRef] [Green Version]
  54. Beyer, M.; Klix, M.B.; Klink, H.; Verreet, J.A. Quantifying the effects of previous crop, tillage, cultivar and triazole fungicides on the deoxynivalenol content of wheat grain—A review. J. Plant Dis. Prot. 2006, 113, 241–246. [Google Scholar] [CrossRef]
  55. Sella, L.; Gazzetti, K.; Castiglioni, C.; Schafer, W.; Favaron, F. Fusarium graminearum possesses virulence factors common to Fusarium head blight of wheat and seedling rot of soybean but differing in their impact on disease severity. Mycology 2014, 104, 1201–1207. [Google Scholar] [CrossRef] [Green Version]
  56. Zhang, H.; der Lee, T.V.; Waalwijk, C.; Chen, W.; Xu, J.; Zhang, Y.; Feng, J. Population analysis of the Fusarium graminearum species complex from wheat in China show a shift to more aggressive isolates. PLoS ONE 2012, 7, e31722. [Google Scholar] [CrossRef] [Green Version]
  57. Sampietro, D.A.; Ficoseco, M.E.; Jimenez, C.M.; Vattuone, M.A.; Catalan, C.A. Trichothecene genotypes and chemotypes in Fusarium graminearum complex strains isolated from maize fields of northwest Argentina. Int. J. Food Microbiol. 2012, 153, 229–233. [Google Scholar] [CrossRef]
  58. Lee, J.; Kim, H.; Jeon, J.J.; Kim, H.S.; Zeller, K.A.; Carter, L.L.; Leslie, J.F.; Lee, Y.W. Population structure of and mycotoxin production by Fusarium graminearum from maize in South Korea. Appl. Environ. Microbiol. 2012, 78, 2161–2167. [Google Scholar] [CrossRef] [Green Version]
  59. Zhang, H.; Brankovics, B.; Luo, W.; Xu, J.; Xu, J.S.; Guo, C.; Guo, J.G.; Jin, S.L.; Chen, W.Q.; Feng, J. Crops are a main driver for species diversity and the toxigenic potential of Fusarium isolates in maize ears in China. World Mycotoxin J. 2016, 9, 701–715. [Google Scholar] [CrossRef] [Green Version]
  60. Lee, J.; Chang, I.Y.; Kim, H.; Yun, S.H.; Leslie, J.F.; Lee, Y.W. Genetic diversity and fitness of Fusarium graminearum populations from rice in Korea. Appl. Environ. Microbiol. 2009, 75, 3289–3295. [Google Scholar] [CrossRef] [Green Version]
  61. Parikh, L.; Kodati, S.; Eskelson, M.J.; Adesemoye, A.O. Identification and pathogenicity of Fusarium spp. in row crops in Nebraska. Crop Prot. 2018, 108, 120–127. [Google Scholar] [CrossRef]
  62. Meisner, A.; de Boer, W. Strategies to maintain natural biocontrol of soil-borne crop diseases during severe drought and rainfall events. Front. Microbiol. 2018, 9, 2279. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Song, C.; Wang, Q.; Zhang, X.; Sarpong, C.K.; Wang, W.; Yong, T.; Wang, X.C.; Wang, Y.; Yang, W. Crop productivity and nutrients recovery in maize-soybean additive relay intercropping systems under subtropical regions in Southwest China. Int. J. Plant Prod. 2020. [Google Scholar] [CrossRef]
  64. Killebrew, J.F.; Roy, K.W.; Lawrence, G.W.; Mclean, K.S.; Hodges, H.H. Greenhouse and field evaluation of Fusarium solani pathogenicity to soybean seedlings. Plant Dis. 1998, 72, 1067–1070. [Google Scholar] [CrossRef]
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Figure 1. Disease incidence and disease severity index of soybean root rot in soybean monoculture and maize/soybean intercropping during 2015–2018. A. Disease incidence of soybean root rot; B. Disease severity index. Error bars indicate the standard error of the mean of three independent plots, and each is composed of 210 soybean plants. Within each year, bars with different letters are significantly different according to Duncan’s test (p < 0.05).
Figure 1. Disease incidence and disease severity index of soybean root rot in soybean monoculture and maize/soybean intercropping during 2015–2018. A. Disease incidence of soybean root rot; B. Disease severity index. Error bars indicate the standard error of the mean of three independent plots, and each is composed of 210 soybean plants. Within each year, bars with different letters are significantly different according to Duncan’s test (p < 0.05).
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Figure 2. Phylogenetic tree of Fusarium species isolated from soybean monoculture and intercropping based on both EF-1α and RPB2 gene. The maximum-parsimony (MP) tree was constructed based on both EF-1α and RPB2 genes with MEGA6.0. Sequences of Nectriaceae sp. (NRRL52709 and NRRL52754) were selected to root the maximum parsimony phylogeny as an outgroup. Numbers at internodes represent MP bootstrap support based on 1000 replicates. Reference sequences of Fusarium isolates from GenBank are indicated by a solid circle.
Figure 2. Phylogenetic tree of Fusarium species isolated from soybean monoculture and intercropping based on both EF-1α and RPB2 gene. The maximum-parsimony (MP) tree was constructed based on both EF-1α and RPB2 genes with MEGA6.0. Sequences of Nectriaceae sp. (NRRL52709 and NRRL52754) were selected to root the maximum parsimony phylogeny as an outgroup. Numbers at internodes represent MP bootstrap support based on 1000 replicates. Reference sequences of Fusarium isolates from GenBank are indicated by a solid circle.
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Figure 3. Isolation frequency of Fusarium species isolated from soybean monoculture and intercropping. The values on the bar graph stand for the isolation frequency, which is calculated using the percentage of the isolates of each Fusarium species in total isolates obtained from either monoculture (A) or intercropping (B).
Figure 3. Isolation frequency of Fusarium species isolated from soybean monoculture and intercropping. The values on the bar graph stand for the isolation frequency, which is calculated using the percentage of the isolates of each Fusarium species in total isolates obtained from either monoculture (A) or intercropping (B).
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Figure 4. Pathogenicity test of Fusarium species on soybean cultivar Nandou12. Pathogenicity test was performed using sorghum grain infected by the representative Fusarium isolates. FSSC (B3r1, B4r2), FIESC (B7s2), F. oxysporum (B3s1), F. asiaticum (B8s1), F. meridionale (B2s2) and F. commune (B9s5) were isolated from monoculture, while FSSC (A8r2), FIESC (A9s3), F. oxysporum (A1r2), F. asiaticum (A3s1), F. graminearum (A2s4), F. proliferatum (A9s5), F. fujikuroi (A6s1) and F. verticillioides (A8s3) were isolated from intercropping. Control stand for the soybean without Fusarium inoculation.
Figure 4. Pathogenicity test of Fusarium species on soybean cultivar Nandou12. Pathogenicity test was performed using sorghum grain infected by the representative Fusarium isolates. FSSC (B3r1, B4r2), FIESC (B7s2), F. oxysporum (B3s1), F. asiaticum (B8s1), F. meridionale (B2s2) and F. commune (B9s5) were isolated from monoculture, while FSSC (A8r2), FIESC (A9s3), F. oxysporum (A1r2), F. asiaticum (A3s1), F. graminearum (A2s4), F. proliferatum (A9s5), F. fujikuroi (A6s1) and F. verticillioides (A8s3) were isolated from intercropping. Control stand for the soybean without Fusarium inoculation.
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Figure 5. Growth parameters and disease severity index of soybean after inoculation with Fusarium species from monoculture and intercropping. The means of disease severity index, seedling length and fresh weight were obtained from three independent experiments after inoculated with the representative isolates of Fusarium species from monoculture (A, C, E) and intercropping (B, D, F). Co, the seedlings without Fusarium inoculation used as control; FSSC, Fusarium solani species complex; FIESC, Fusarium incarnatum-equiseti species complex; F.o, F. oxysporum; F.a, F. asiaticum; F.m, F.meridionale; F.c, F.commune; F.g, F.graminearum; F.f, F.fujikuroi, F.v, F.verticillioides; F.p, F.proliferatum. Error bars indicate standard error of the mean of three replicates, and each is composed of 18 plants. Bars with different letters are significantly different according to Duncan’s test (p > 0.05) using SPSS 21 software.
Figure 5. Growth parameters and disease severity index of soybean after inoculation with Fusarium species from monoculture and intercropping. The means of disease severity index, seedling length and fresh weight were obtained from three independent experiments after inoculated with the representative isolates of Fusarium species from monoculture (A, C, E) and intercropping (B, D, F). Co, the seedlings without Fusarium inoculation used as control; FSSC, Fusarium solani species complex; FIESC, Fusarium incarnatum-equiseti species complex; F.o, F. oxysporum; F.a, F. asiaticum; F.m, F.meridionale; F.c, F.commune; F.g, F.graminearum; F.f, F.fujikuroi, F.v, F.verticillioides; F.p, F.proliferatum. Error bars indicate standard error of the mean of three replicates, and each is composed of 18 plants. Bars with different letters are significantly different according to Duncan’s test (p > 0.05) using SPSS 21 software.
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Figure 6. The planting pattern of location field experiments for soybean monoculture and maize/soybean strip intercropping. A. Soybean monoculture; B. Maize/soybean relay strip intercropping.
Figure 6. The planting pattern of location field experiments for soybean monoculture and maize/soybean strip intercropping. A. Soybean monoculture; B. Maize/soybean relay strip intercropping.
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Table
Table 1. Information of Fusarium isolates obtained from soybean monoculture and intercropping and GenBank accession numbers of EF-1α and RPB2.
Table 1. Information of Fusarium isolates obtained from soybean monoculture and intercropping and GenBank accession numbers of EF-1α and RPB2.
Isolate CodePlanting PatternGenBank Accession NumberFusarium Species aFusarium Species Complex
EF-1αRPB2
A1s4IntercroppingMK560306MN892318F. graminearumFusarium graminearum species complex, FGSC [37]
A1s5IntercroppingMK560320MN892327FIESCFusarium incarnatum-equiseti species complex, FIESC [38,39]
A1r3IntercroppingMK560319MN892328FIESCFIESC
A2s1IntercroppingMK560321MN892326FIESCFIESC
A2s3IntercroppingMK560322MN892325FIESCFIESC
A2s4IntercroppingMK560307MN892317F. graminearumFGSC
A2r1IntercroppingMK560280MN892289FSSCFusarium solani species complex, FSSC [40]
A3s1IntercroppingMK560335MN892344F. asiaticumFGSC
A3s3IntercroppingMN892351MN892338FSSCFSSC
A4s1IntercroppingMK560308MN892321F. fujikuroiFusarium fujikuroi species complex, FFSC [41]
A4s2IntercroppingMK560300MN892307F. oxysporumFusarium oxysporum species complex, FOSC [8,39,40]
A4s3IntercroppingMK560323MN892336FIESCFIESC
A4s4IntercroppingMK560324MN892341FIESCFIESC
A4s6IntercroppingMK560283MN892295F. solaniFSSC
A4r1IntercroppingMK560282MN892296FSSCFSSC
A5s3IntercroppingMK560325MN892342FIESCFIESC
A5r2IntercroppingMK560284MN892284FSSCFSSC
A6s1IntercroppingMK560309MN892320F. fujikuroiFFSC
A6s2IntercroppingMK560326MN892324FIESCFIESC
A6s3IntercroppingMK560301MN892306F. oxysporumFOSC
A6r2IntercroppingMK560285MN892294F. solaniFSSC
A7s2IntercroppingMK560261MN892281F. verticillioidesFFSC
A7s3IntercroppingMK560327MN892323FIESCFIESC
A7s5IntercroppingMK560262MN892280F. verticillioidesFFSC
A7r1IntercroppingMK560302MN892305F. oxysporumFOSC
A7r2IntercroppingMK560286MN892293F. solaniFSSC
A8s3IntercroppingMK560263MN892279F. verticillioidesFFSC
A8s4IntercroppingMK560328MN892343FIESCFIESC
A8r2IntercroppingMK560288MN892291FSSCFSSC
A8r4IntercroppingMK560287MN892292F. solaniFSSC
A9s1IntercroppingMK560310MN892319F. fujikuroiFFSC
A9s2IntercroppingMK560264MN892278F. verticillioidesFFSC
A9s3IntercroppingMK560329MN892322FIESCFIESC
A9s5IntercroppingMK560292MN892349F. proliferatumFFSC
A9s6IntercroppingMK560290MN892285FSSCFSSC
A9r1IntercroppingMK560291MN892290FSSCFSSC
B1r1MonocultureMK560265MN892304FSSCFSSC
B2s1MonocultureMK560293MN892313F. oxysporumFOSC
B2s2MonocultureMK560303MN892316F. meridionaleFGSC
B2s3MonocultureMK560294MN892312F. oxysporumFOSC
B2r1MonocultureMK560266MN892288FSSCFSSC
B2r2MonocultureMK560311MN892335FIESCFIESC
B2r3MonocultureMK560312MN892337FIESCFIESC
B2r4MonocultureMK560304MN892315F. meridionaleFGSC
B3s1MonocultureMK560295MN892311FIESCFOSC
B3s3MonocultureMK560331MN892348F. asiaticumFGSC
B3s4MonocultureMK560313MN892334FIESCFIESC
B3s6MonocultureMK560296MN892310F. oxysporumFOSC
B3r1MonocultureMK560267MN892303FSSCFSSC
B4s1MonocultureMK560305MN892314F. meridionaleFGSC
B4s3MonocultureMK560314MN892333FIESCFIESC
B4s4MonocultureMK560315MN892339FIESCFIESC
B4r1MonocultureMK560268MN892283FSSCFSSC
B4r2MonocultureMK560269MN892286FSSCFSSC
B5s1MonocultureMK560270MN892302FSSCFSSC
B5s2MonocultureMK560297MN892309F. oxysporumFOSC
B5s4MonocultureMN892352MN892332FSSCFSSC
B6s1MonocultureMK560272MN892301FSSCFSSC
B6s2MonocultureMK560316MN892331FIESCFIESC
B6s3MonocultureMK560332MN892347F. asiaticumFGSC
B7s2MonocultureMK560317MN892340FIESCFIESC
B7s4MonocultureMK560318MN892330FIESCFIESC
B7r2MonocultureMK560273MN892300FSSCFSSC
B8s1MonocultureMK560333MN892346F. asiaticumFGSC
B8s2MonocultureMK560274MN892299FSSCFSSC
B8s4MonocultureMN892354MN892308FSSCFSSC
B8r1MonocultureMK560276MN892298FSSCFSSC
B9s1MonocultureMK560334MN892345F. asiaticumFGSC
B9s2MonocultureMK560277MN892282FSSCFSSC
B9s4MonocultureMN892353MN892329FIESCFIESC
B9s5MonocultureMK560330MN892350F. communeFusarium nisikadoi species complex, FNSC [42]
B9r1MonocultureMK560278MN892287FSSCFSSC
B9r2MonocultureMK560279MN892297FSSCFSSC
Note: a indicate that Fusarium species were identified based on the phylogenetic analysis of both translation elongation factor 1α (EF-1α) and RNA polymerase II second largest subunit (RPB2) genes on Fusarium MLST and FUSARIUM-ID database.

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MDPI and ACS Style

Chang, X.; Yan, L.; Naeem, M.; Khaskheli, M.I.; Zhang, H.; Gong, G.; Zhang, M.; Song, C.; Yang, W.; Liu, T.; et al. Maize/Soybean Relay Strip Intercropping Reduces the Occurrence of Fusarium Root Rot and Changes the Diversity of the Pathogenic Fusarium Species. Pathogens 2020, 9, 211. https://doi.org/10.3390/pathogens9030211

AMA Style

Chang X, Yan L, Naeem M, Khaskheli MI, Zhang H, Gong G, Zhang M, Song C, Yang W, Liu T, et al. Maize/Soybean Relay Strip Intercropping Reduces the Occurrence of Fusarium Root Rot and Changes the Diversity of the Pathogenic Fusarium Species. Pathogens. 2020; 9(3):211. https://doi.org/10.3390/pathogens9030211

Chicago/Turabian Style

Chang, Xiaoli, Li Yan, Muhammd Naeem, Muhammad Ibrahim Khaskheli, Hao Zhang, Guoshu Gong, Min Zhang, Chun Song, Wenyu Yang, Taiguo Liu, and et al. 2020. "Maize/Soybean Relay Strip Intercropping Reduces the Occurrence of Fusarium Root Rot and Changes the Diversity of the Pathogenic Fusarium Species" Pathogens 9, no. 3: 211. https://doi.org/10.3390/pathogens9030211

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