Effects of Sweet Potato Intercropping in Banana Orchard on Soil Microbial Population Diversity

doi:10.21203/rs.3.rs-1651722/v2

Purpose

This study was purposely designed to understand the effects of intercropping banana and sweet potato on soil microbial community. The research question addressed was what were the differences in population number, population diversity and dominant population of soil microorganisms between interplant bananas with sweet potatoes and banana monoculture.

Methods

The Illumina MiSeq high-throughput sequencing technology was used to detect and analyse the population composition and structure of soil microorganisms in banana field.

Results

The results showed that from May to September, the number of soil bacterial population in intercropping sweet potato was 5.54–28.67% higher than that in monoculture, and the richness and diversity of the population were significantly or extremely significantly higher than that in monoculture. The number of dominant bacterial population was less than that in monoculture, and the relative abundance of non dominant population was 10.58–58.81% higher than that in monoculture. The number, abundance and diversity of soil fungal populations in intercropping were higher than those in monoculture.

Conclusions

The intercropping of banana and sweet potato has a significant effect on regulating the composition structure of soil microbial population and improving the abundance and diversity of microbial population. There has a great significance to improve the micro ecological environment of banana root soil and promote the stable and sustainable development of banana industry.

Banana

Planting model

Microbial diversity

Population composition and structure

Banana (Musa nana Lour.) is second only to citrus in terms of global output and sales. It is mainly distributed in Asia, Africa, and South America. It is one of the most important fruit crops in tropical and subtropical areas (Arvanitoyannis and Mavromatis 2009; Dita et al. 2018). Because of its rich nutrition and easy absorption and digestion, banana is a fresh fruit widely enjoyed by consumers. In some countries in Africa and Central and South America, banana is one of the important staple foods(Varma and Bebber 2019; Tripathi et al. 2017). However, in recent years, due to the harm of Fusarium wilt, the production and development of the banana growing industry has been seriously threatened, resulting in a downward trend in planting area(Dong et al. 2020). The number of plants infected by Fusarium wilt accounted for 10%-40% of damaged plants in the banana plot, and in some plantations more than 90% of plants were infected(Huang et al. 2012). The damaged banana plants showed yellowing and withering of leaves, failure to bud and fructify normally, and serious decline in yield and quality(Ploetz 2015). Some studies have shown that the reasons for the occurrence and prevalence of banana Fusarium wilt are as follows: first, planting varieties singly and poor disease resistance of main varieties(Heslop-Harrison and Schwarzacher 2007); second, soil acidification and reduction of soil microbial diversity(Dita et al. 2018; Peng et al. 2014); third, poor cultivation measures(Pegg et al. 2019; Liu et al. 2019). Among them, soil acidification and the reduction of microbial diversity are the main reasons for the serious epidemic of banana Fusarium wilt(Shen et al. 2015; Li et al. 2019). In order to solve the problem of the cultivation of single varieties and the poor disease resistance of main varieties, breeders in major producing countries around the world have screened and bred varieties with strong resistance to Fusarium wilt, such as "Zhongjiao 9" (Zhang et al. 2021), Taiwan "Xinbei banana," "Nantianhuang"(Xu et al. 2017), Baodao banana(Hwang and Ko 2004) in China and so on. Although these varieties have strong disease resistance, due to their poor quality, long growth period, or poor cold resistance(Li et al. 2019), they have not been accepted by most growers and consumers and cannot be planted in a large area (Zhang et al. 2013). The main reason for soil acidification and the decrease in microbial diversity is the excessive application of chemical fertilizer and pesticides and fungicides during banana planting, resulting in the deterioration of soil structure and texture and the reduction of microbial population and quantity (Zhou et al. 2014; Huang et al. 2013). In addition, there are also some problems in the cultivation and planting system of banana. For example, most banana plantations have been subject to continuous cropping and monoculture for many years, aggravating plant diseases and insect pests year by year, resulting in soil and water loss, soil nutrient imbalance, structural deterioration, etc. (Tan et al. 2021; Xu et al. 2012). Banana Fusarium wilt is a soil borne vascular disease(Maryani et al. 2019). At present, the pathogen that infects bananas is Fusarium oxysporum Cuba specialized physiological race 4 (foc4) (Wang et al. 2020) and it can grow in the range of 22–34 ℃, but grows most vigorously under weak acidic conditions of 26–30 ℃ and pH 5. The banana plants are easily infected by it at 25–28 ℃ and soil water holding capacity > 25%(Pegg et al. 2019; Lin et al. 2010; Lin et al. 2000). The contents of soil organic matter and nutrients are closely related with the occurrence of Fusarium wilt. In banana orchards with Fusarium wilt, the contents of organic matter, CEC, total N, total P (ion), available P, available B, and exchangeable Ca in soil are lower than those in non-diseased orchard soil(Furtado et al. 2009). The genetic diversity of bacteria in the rhizosphere and non-rhizosphere soil of a diseased sample plot was lower than that of a healthy sample plot. The number and species of culturable bacteria, fungi, and actinomycetes in the rhizosphere and non-rhizosphere soil of diseased plants in a diseased sample plot were also lower than those of healthy plants, and the number of pathogenic bacteria increased with the increase in plant susceptibility. The content of Bacillus in diseased plots was 17% higher than that in healthy plots(Bubici et al. 2019; Lian et al. 2008).

At present, the main technical measures to control banana Fusarium wilt are to apply alkaline fertilizer and lime, spray biocontrol solution on the roots of plants(Fan and Li 2014), or rotate and interplant with sugarcane(Zeng et al. 2019), peanut (Pattison et al. 2014), corn(Wang et al. 2015), leek(Huang et al. 2012; Zhang et al. 2013), and other crops. However, these technical measures have not been accepted by most banana growers and have not been popularized and applied in a large area due to the high input cost and complex cultivation and management. Therefore, we need to find a more suitable intercrop mode so as to change the cultivation pattern of banana continuous monoculture. Sweet potato stems and leaves grow vigorously, long growth period, creeping on the ground growth, sweet potato adaptability and regeneration, do not choose the soil, easy to survive, in winter could be survival, the next year continue to grow, is an excellent intercropping crop(Bovell-Benjamin 2007). At present, there is no report on the impact of planting sweet potato in banana garden on soil microbial diversity. In this paper, the effect of intercropping sweet potato on fungal and bacterial diversity in banana orchard were studied, so as to provide a theoretical basis for changing the planting mode of banana.

Test material

The tested banana variety was "Guijiao 1" and the sweet potato was "Pushu 32."

Testing methods

The experiment was conducted in the banana planting base of Fusui agricultural science new town of Guangxi University from March 2018 to October 2020. The experimental site is located in the south subtropical monsoon climate region, with an annual precipitation of 1050-1300mm and an annual average temperature of 21.3-22.8℃. The soil fertility of the test site was as follows: available nitrogen 69.98 mg kg^-1, available phosphorus 118.13 mg kg^-1, available potassium 71.45 mg kg^-1, organic matter 19.09 g kg^-1, pH 4.50. Two treatments were set up in the experiment: the intercropping of banana and sweet potato and banana monoculture, marked as a and b, respectively. The planting density of banana is 124 plants/666.67m², the area of each experimental plot was 81 m², and the row and plant spacing of banana was 2.7×2m. The experiment was repeated three times. Banana seedlings were planted on March 15, 2019, and two lines of sweet potato seedlings were planted between the rows of bananas on April 12. The row and plant spacing of sweet potato seedlings was 1×0.5m. The management measures followed for the banana, such as field fertilization, irrigation, and pest control, are the same as those used in production. The growth status of the banana orchard during the experiment is shown in Fig 1

Collection of soil samples in the test site

In May 2019, soil temperature and humidity measuring probes were installed in 5cm, 10cm, and 20cm soil layers of the banana plot to monitor and record the temperature and moisture content. In May, July, and September 2020, respectively, the litter and other mulch on the soil surface 30-50cm away from the banana plant were removed, and then samples 0-20cm from the soil surface were collected with the soil sampler from the field for the banana monoculture and the banana interplanted with sweet potato. The samples were collected and samples from 3-5 points from each experimental plot were mixed, debris such as animal and plant residues in the soil samples were removed, and the samples then bagged, placed in an ice box, and transported back to the laboratory for storage at - 20℃.

Determination of microbial diversity

The soil samples were sent to Beijing BioMarker Biotechnology Co., Ltd. to construct a small fragment library for high-throughput sequencing by using the second-generation sequencing technology Illumina and paired end sequencing. The v3-v4 region of 16S in bacteria was amplified and the ITS1 region in fungi was amplified. The soil samples from the intercropping with sweet potato in May, July, and September were labeled May / A, July / A, and Sep. /A, respectively, and that of the monoculture banana were labeled May / B, July / B, and Sep. / B, respectively. Raw reads obtained from sequencing were filtered using Trimmomatic v0.33 software, and then primer sequences were identified and removed using Cutadapt 1.9.1 software to obtain high quality reads. High quality reads stitched together using FLASH v1.2.7 software to obtain clean reads. The chimeric sequences were identified and removed using UCHIME v4.2 software to obtain the final effective reads. Subsequent bioinformatic analysis based on effective reads: OTU clustering based on a specific threshold (97% selected by default). The taxonomic annotation of the feature sequences was performed using a plain Bayesian classifier with SILVA as the reference database, and the taxonomic information corresponding to each feature could be obtained, and the sample community composition was counted at each level. Species abundance tables at different taxonomic levels were generated using QIIME software to compare differences in soil bacterial and fungal community composition between treatments.

Statistical analysis

Microsoft Excel 2010 software was used to process and draw the data, and IBM SPSS 26.0 was used for analysis of variance. All data and measurement results were expressed as average values.

Effects of intercropping sweet potato in a banana orchard on the population and diversity of the soil bacteria and fungi community

It can be seen from Table 1 that during May to September, the number of soil bacterial communities of intercropping sweet potato was 476.00-511.67 and that of banana monoculture was 397.67-451.00. The number of soil bacterial communities of intercropping increased by 28.67%, 5.54%, and 11.42% respectively in different months compared with that of monoculture, and the difference in May and September reached a significant level, but in July, there was no significant difference between intercropping and monoculture. The Ace and Chao1 indexes of community abundance of soil bacteria in intercropping were higher with 1859.18-1874.71 and 1861.28-1911.12 respectively than the 1458.26-1748.65 and 1478.19-1719.86 of the monoculture. The difference between the two treatments reached a significant or very significant level. The Shannon index of bacterial community diversity in the intercropping soil was 9.29-9.51, higher than that of 7.99-9.16 in the monoculture, and the difference reached a significant or extremely significant level in different months. The results showed that intercropping sweet potato in banana orchard could significantly improve the number, abundance, and diversity of the bacterial community in the soil.

Table 1. Quantity and diversity index of the bacterial community in the soil in sweet potato intercropping and monoculture in a banana orchard.

Treatment	Number of colonies (pieces)	Ace index	Chao1 index	Shannon index
May/A	511.67±14.22Aa	1870.39±25.71Aa	1861.28±50.34Aa	9.29±0.03Aa
May/B	397.67±17.62Bb	1458.26±54.62Bb	1478.19±55.27Bb	7.99±0.13Bb
July/A	476.00±2.65Aa	1859.18±12.28Aa	1911.12±43.57Aa	9.51±0.11Aa
July/B	451.00±34.18Aa	1748.65±41.78Ab	1719.86±95.24Ab	9.16±0.15Ab
Sep/A	484.67±18.15Aa	1874.71±16.35Aa	1907.80±27.12Aa	9.45±0.04Aa
Sep/B	435.00±15.59Ab	1570.61±95.21Bb	1624.03±66.76Bb	8.61±0.04Bb

Samples were taken in May, July, and September. May/A = Intercropping treatment in May. May/B = Monoculture treatment in May. July/A = Intercropping treatment in July. July/B = Monoculture treatment in July. Sep/A = Intercropping treatment in September. Sep/B = Monoculture treatment in September. Different lowercase letters and uppercase letters indicate that there are significant differences between the two treatments in the same month at the levels of P < 0.05 and P < 0.01, respectively.

The population of the fungal community in the soil subject to intercropping during May, July, and September was 154.33-198.33, and more than 112.00-147.00 in the monoculture (Table 2). But the difference between the two treatments did not reach a significant level. The Ace and Chao1 indexes of soil fungi community in intercropping were 568.17-735.51 and 451.54-653.29, respectively, higher than 514.66-687.47 and 375.37-541.45 in monoculture. However, only in May, the difference in the Chao1 index between the two treatments reached a significant level, while the other differences were not significant. The Shannon index of soil fungi in intercropping was 5.92-6.72, and that of monoculture was 5.27-6.57. The Shannon index in intercropping in May and September was higher than that of the monoculture, while that of intercropping in July was lower than that of the monoculture, but the difference between the two treatments in three months was not significant. The results showed that intercropping sweet potato had a certain effect on the number, abundance, and diversity of soil fungi in the banana orchard.

Table 2. Quantity and diversity index of the fungi community in the soil in sweet potato intercropping and monoculture in a banana orchard.

Treatment	Number of colonies (pieces)	Ace index	Chao1 index	Shannon index
May/A	198.33±48.52Aa	735.51±74.49Aa	653.29±54.09Aa	5.92±0.92Aa
May/B	143.00±44.19Aa	659.87±94.06Aa	465.19±87.11Ab	5.27±0.69Aa
July/A	164.33±45.28Aa	726.27±152.18Aa	618.71±91.93Aa	6.35±0.48Aa
July/B	147.00±45.08Aa	687.47±161.94Aa	541.45±115.33Aa	6.57±0.31Aa
Sep/A	154.33±63.07Aa	568.17±42.07Aa	451.54±5.74Aa	6.72±0.68Aa
Sep/B	112.00±69.40Aa	514.66±33.32Aa	375.37±82.64Aa	6.25±0.13Aa

Samples were taken in May, July, and September. May/A = Intercropping treatment in May. May/B = Monoculture treatment in May. July/A = Intercropping treatment in July. July/B = Monoculture treatment in July. Sep/A = Intercropping treatment in September. Sep/B = Monoculture treatment in September. Different lowercase letters and uppercase letters indicate that there are significant differences between the two treatments in the same month at the levels of P < 0.05 and P < 0.01, respectively.

Effects of sweet potato intercropping in the banana orchard on the main bacterial phyla and population composition of the soil

The composition and relative abundance of soil bacterial community structure at the phylum classification level are shown in Fig. 2. Proteobacteria, Actinobacteria, Acidobacteria, Chloroflex, Bacteroidetes, and Gemmatimonadetes were the dominant bacteria in the banana plot soil, which accounted for more than 88%. During May to September, the relative abundances of these six main bacterial phyla were 31.83-41.04%, 13.83-26.94%, 15.03-20.38%, 10.86-11.65%, 3.87-5.77%, and 2.71-4.43%, respectively, and that of the monoculture were 19.20-27.86%, 20.07-24.13%, 12.00-18.39%, 21.91-24.73%, 2.02-4.90%, and 0.33-2.39%, respectively. The relative abundances of Proteus, Acidobacteria, Bacteroidetes, and Blastomonas in intercropping were greater than those of the monoculture, and their monthly average abundances were increased by 67.92%, 8.64%, 64.37%, and 327.76% respectively. In May and September, the relative abundances of Proteus and Blastomonas were significantly higher than those of the monoculture, while the monthly average relative abundances of Actinomycetes and Campylobacter decreased by 12.62% and 51.65% compared with the monoculture. The results showed that the intercropping of sweet potato in the banana plot had a great effect on the community structure and composition of the main bacterial phyla in the soil, and the relative abundance of Proteus, Acidobacteria, Bacteroides, and Blastomonas increased significantly, but the relative abundance of Actinomycetes and Campylobacter reduced.

The composition, structure, and relative abundance of the main bacterial populations in soil between the intercropping of sweet potato and the monoculture were quite different. Among the detected bacterial populations, the dominant bacterial populations with relative abundance of more than 1% in the soil intercropped with sweet potato in May and September were AD3, Acidothermus, Subgroup_6, and Acidobacteriales, and the relative abundances of other non-dominant populations were 81.78% and 78.29%. While dominant populations in the monoculture were AD3, Acidothermus, Elsterales, Acidobacteriaceae_Subgroup_1, Conexibacter, WPS-2, and Gammaproteobacteria_Incertae, and the relative abundances of other populations were 51.17% and 64.62%. But in July the dominant bacterial populations in the intercropping were AD3, Acidothermus and Subgroup_6, Conexibacter, and Acidobacteriales, the relative abundance of other populations was 80.7%, and those of the monoculture were AD3, Acidothermus, Subgroup_6, Elsterale, Acidobacteriaceae_Subgroup_1, Conexibacter, WPS-2, and Gammaproteobacteria_Incertae, the relative abundance of other populations was 72.98%. Among these dominant soil bacterial populations, the relative abundance of AD3, Acidothermus, Elsterales, Acidobacteriaceae_Subgroup_1, Conexibacter, and WPS-2 was lower than that in the monoculture, and the difference reached a significant or extremely significant level, while the relative abundance of Subgroup_6 and other populations was significantly or extremely significantly higher than that in the monoculture (Fig. 3). The results showed that sweet potato intercropping in the banana orchard had a significant effect on regulating the composition and structure of the soil bacterial population, the relative abundance of the soil dominant bacterial population was reduced, and that of the non-dominant bacterial population increased. The relative abundance of the non-dominant population increased by 10.58-58.81%.

Effects of sweet potato intercropping in the banana orchard on the composition and structure of the main fungi phyla and population composition in the soil

At the phylum classification level, the composition and relative abundance of the soil fungal community in the banana orchard are shown in Fig. 4. During May to September, Ascomycota, Basidiomycota, Mortierellomycota, Rozellomycota, Chytridiomycota, and Glomeromycota were the dominant fungi, and the number of communities of these dominant fungi accounted for more than 86%. In which the relative abundances of Ascomycota were the highest with 46.79-68.88% for intercropping and 42.33-61.95% for monoculture. The relative abundances of the other five population groups in the intercropping were 13.43-36.53%, 2.81-4.63%, 0.76-2.93%, 0.45-1.27%, and 0.05-0.27% respectively, those in the monoculture were 13.9-24.88%, 2.91-4.31%, 0.35-2.85%, 0.24-0.99%, and 0.00-0.19% respectively. The monthly average relative abundance of the six dominant groups in intercropping was higher than that in monoculture, but only in July the relative abundance of Basidiomycetes and Coccidiomycetes was significantly higher than that in monoculture, and that of the remaining fungi community between intercropping and monoculture did not reach a significant level in three months. The results showed that intercropping sweet potato had an important regulatory effect on the relative abundance of Basidiomycetes and Coccidiomycetes in the banana plot soil, but had little effect on other fungal communities.

In different periods of banana growth, the composition and structure of soil fungal populations in intercropping with sweet potato were very different from those in monoculture (Fig. 5). In May, the relative abundance of soil fungi in intercropping reached more than 1% including Podzolica, Neocosmospora_rubicola, and Iodophanus, in which, the highest relative abundance was Neocosmospora_rubicola（19.43%）, followed by Iodophanus_carneus (7.62%), and Saitozyma_podzolica（4.81%）. While there was only Saitozyma_podzolica and Neocosmospora in the banana monoculture, their relative abundance was more than 1%, being 15.42% and 1.00%, respectively. The relative abundance of Neocosmospora_rubicola and Iodophanus_carneus in intercropping was significantly higher than that of monoculture, and that of Saitozyma_podzolica was significantly lower than that of monoculture. There was no significant difference in the other fungal populations between intercropping and monoculture. In July, the dominant fungal population in the intercropping soil was made up of Saitozyma_podzolica, Neocosmospora_rubicola, Conocybe_anthracophila, Fusarium_equiseti, and Coprinopsis, and that in the monoculture was Saitozyma_podzolica, Neocosmospora_rubicola, and Fusarium_equiseti. The relative abundance of three populations including Neocosmospora_rubicola, Conocybe_anthrophila, and Coprinopsis_cladophylla in intercropping was significantly higher than that in monoculture, and there was no significant difference between other non-dominant populations between the two treatments. In September, only Saitozyma _podzolica and Neocosmospora_rubicola constituted the dominant fungal population in the intercropping soil, while those in the monocultured soil were Saitozyma_podzolica and Fusarium_equiseti. The relative abundance of other communities was less than 0.7%. The relative abundance of Neocosmospora_rubicol and Coprinopsis_clastophylla population in intercropping was significantly higher than that in monoculture, while that of the Fusarium_equiseti population was significantly lower than that in monoculture, and there was no significant difference in the other non-dominant fungal populations between intercropping and monoculture. In addition, the relative abundance of unclassified soil fungal populations was 47.27-71.80% in intercropping and 62.31-72.17% in monoculture. The results showed that the intercropping of sweet potato in the banana orchard could regulate the composition and structure of the main soil fungi population and the relative abundance of dominant populations was improved significantly and that of Saitozyma_podzolica and Fusarium_equiseti was reduced.

The indicators reflecting microbial community abundance mainly include the Chao1 and ACE index. The Shannon index indicates microbial community diversity. The greater the value of these indicators, the greater the microbial community abundance and diversity(Grice et al. 2009). The results of this study showed that intercropping sweet potato in the banana orchard had an important effect on improving the number and diversity of the soil microbial community. The main reason is that the diversity and richness of the soil microbial population are affected by environmental factors such as soil temperature, humidity, pH value, organic matter, and other soil properties. Studies have shown that the diversity and abundance of soil bacteria and fungi are negatively correlated with temperature (Fu et al. 2020) and positively correlated with soil humidity (Huang et al. 2019), pH, and organic matter content (Tang et al. 2020; Zhong et al. 2010; Du and Geng 2021). A further result of our study was that after intercropping sweet potato in the banana plot, the soil pH value, organic matter, and water content were significantly increased, and the soil temperature of the topsoil in summer was reduced (Table 3 and Table 4).

Table 3. Soil temperature and humidity of soil in intercropping sweet potato and monoculture in a banana orchard.

Treatment	Soil temperature（℃）			Soil humidity（%）
Treatment	5cm	10cm	20cm	5cm	10cm	20cm
May/A	27.67	27.84	27.32	20.68	24.63	26.15
May/B	29.24	29.15	28.91	18.27	18.21	22.66
July/A	28.78	29.24	28.85	21.30	19.73	17.46
July/B	33.33	32.87	32.19	16.81	11.92	18.18
Sep/A	26.68	28.39	28.09	22.07	30.51	24.04
Sep/B	28.86	28.86	28.82	11.41	17.40	20.65

May/A = Intercropping treatment in May. May/B = Monoculture treatment in May. July/A = Intercropping treatment in July. July/B = Monoculture treatment in July. Sep/A = Intercropping treatment in September. Sep/B = Monoculture treatment in September. Measures the temperature and humidity of 5cm, 10cm, and 20cm soil layers in May, July, and September.

Table 4. Soil pH and organic matter contents of sweet potato intercropping and monoculture in a banana orchard.

Index	pH			Organic matter content（g kg^-1）
Treatment	May	July	Sep.	May	July	Sep.
IC	6.36±0.02Aa	6.46±0.06Aa	6.33±0.15Aa	22.90±0.94Aa	25.79±0.26Aa	22.15±0.70Aa
MC	4.52±0.13Bb	4.80±0.09Bb	4.56±0.18Bb	19.85±1.31Ab	18.81±0.53Bb	20.02±0.46Ab

Samples were taken in May, July, and September. IC = intercropping. MC = monoculture. Different lowercase letters and uppercase letters indicate that there are significant differences between the two treatments in the same month at the levels of P < 0.05 and P < 0.01, respectively.

Sweet potato was planted in March in spring under normal conditions, and its stem and vine length reached more than 1m by May, basically covering the inter row of banana because it was a fast-growing crop. The exposed soil between the rows in the banana plot was covered with sweet potato stems and leaves, and the topsoil was protected by avoiding the strong summer sunlight. The evaporation loss of soil moisture and the temperature of the topsoil were reduced, and the scouring of topsoil in the case of heavy rainfall slowed down, thus the loss of soil water and nutrients was reduced. In addition, the stems and leaves of sweet potato grew vigorously, branches and leaves were constantly formed, and a large number of dead branches and leaves returned to the soil, increasing the organic matter of the soil through their decay. At the same time, the stems and leaves of sweet potato are rich in mineral elements such as iron, calcium, magnesium, potassium, and phosphorus, and these minerals were released into the soil (Chen et al. 2014; Ishida et al. 2000), which increased the effective mineral nutrient content of the topsoil, thus the pH value of the soil was increased and the structure and aeration performance of the soil improved(Cao et al. 2020; Qiu 2019; Ge et al. 2014). So the soil microecological conditions were more suitable for the growth and reproduction of bacteria and fungi. The stem and leaf of the sweet potato that died, returned to the soil becoming a source of carbon and nitrogen for the microorganisms(Sun et al. 2014) so that different types of microbial community have sufficient carbon and nitrogen sources, thus more microbial populations could grow and proliferate. Therefore, intercropping sweet potato has a good effect on increasing the number, abundance, and diversity of soil bacteria and fungi, which was similar to the effect of intercropping Senna tora(L.)Roxburgh and leek with banana(Wang et al. 2020).

Under the condition of intercropping sweet potato, the relative abundance of dominant bacterial and fungal communities in the soil at the phylum classification level was higher than that in monoculture, but the number of dominant bacterial populations was reduced by 3 populations, while the relative abundance of other non-dominant populations was higher than that in monoculture, increased by 10.58-58.81%. But the effects on fungal populations are different. The number of dominant fungal populations in intercropping is 1-2 more than that in monoculture, and the relative abundance of dominant populations is higher than that in monoculture, which is similar to the effect of increasing organic fertilizer and returning straw to the field in the tidal soil area of the North China Plain (Jiang et al. 2019; Wu et al. 2020). However, there are some differences with the research results of Wu and others in the effects on different dominant bacterial and fungal populations, which may be related to the differences of soil type, temperature, and humidity. The reason may be related to the increase in the abundance of the non-dominant bacterial population. Soil organic matter is an important source for microbial nutrition and energy. The microbial activity is also limited by soil nutrition availability(Tan et al. 2021). When other bacterial populations grow and compete with the dominant community for limited carbon and nitrogen sources, the growth of the dominant bacterial population is limited due to the limitation of the amount of organic nutrients in the soil, resulting in a decrease of its abundance. But the fungi can coexist with plants to form mycorrhizal(Wu et al. 2020), in the early stage of growth, they obtain nutrients from plants, are less affected by restricted soil nutrients, high temperature and drought, thus the dominant fungal population can grow and proliferate.

In addition, the effect of soil temperature on the growth of bacteria and fungi is different. The results of this study showed that in July with the highest temperature, the population number and relative abundance of bacteria are lower than in May and September with lower temperature. It is speculated that when the temperature was > 30℃, the growth of some heat-resistant bacterial communities was inhibited, and the growth of humidity loving bacterial communities was limited by the high temperature and the decline of soil humidity, thus the number of bacterial populations and their relative abundance decreased(Sayer et al. 2017; Ishaq et al. 2020; Vries et al. 2018). The number and relative abundance of dominant fungal populations in intercropping were higher than those in monoculture, but the difference between different months was not as large as that of bacterial populations. The reason may be related to the strong heat resistance of fungi (Vries et al. 2013; Barnard et al. 2013). Studies have reported that most fungal populations isolated from soil and compost in many places in China were thermophilic and heat-resistant fungi(Liang et al. 2011a; Liang et al. 2011b). These heat-resistant fungal populations could grow and proliferate even under high temperature conditions. The composition and structure of the soil microbial population are affected by soil micro ecological conditions, and play an important role in soil nutrient metabolism and transformation, thus affecting the growth and development of crops. The improvement of microbial diversity in the crop rhizosphere and the enhancement of the reproductive activities of beneficial microbial populations would help to promote crop growth (Dai et al. 2017; Dai et al. 2020; Berg et al. 2009). On the other hand, the vigorous reproductive activity of harmful microbial populations would inhibit the growth and development of crops(Pei et al. 2010; Kong 2007).

The results of this paper showed that the intercropping of banana and sweet potato has an important effect on regulating the community and structure of soil bacteria and fungi, and improved the richness and diversity of soil microbes. Therefore, this planting model offers many benefits, such as improving the soil micro ecological environment and increasing the content of soil organic matter. Its popularization and application will help to promote the stable and sustainable development of the banana industry.

Acknowledgements

Not applicable

Authors’ contributions

Y.P. and W.X. designed the study and wrote the manuscript. Y.P., J.L. and S.X. performed the experiments. Y.P. and W.X. analyzed the data. D.F. and Y.D. revised the manuscript. The authors read and approved of the final manuscript.

Funding

This research was supported by China Agriculture Research System of MOF and MARA（CARS-31）;Guangxi Innovation Driven Development Project (Guike AA18118028-8); Guangxi Department of Agriculture Project - Research and Demonstration of High Quality and Efficient Cultivation Technology of Banana Bud Sucking Chemical Prevention and Control (201401).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Author details

College of Agriculture, Guangxi University, Nanning 530005, China.

Arvanitoyannis IS, Mavromatis A (2009) Banana cultivars, cultivation practices, and physicochemical properties. Critical Reviews in Food Science and Nutrition 49(2):113-135. https://dx.doi.org/10.1080/10408390701764344
Barnard RL, Osborne CA, Firestone MK (2013) Responses of soil bacterial and fungal communities to extreme desiccation and rewetting. The ISME Journal 7(11):2229-2241. https://doi.org/10.1038/ismej.2013.104
Berg G (2009) Plant–microbe interactions promoting plant growth and health: perspectives for controlled use of microorganisms in agriculture. Applied Microbiology and Biotechnology 84(1):11-18. https://doi.org/ 10.1007/s00253-009-2092-7
Bovell-Benjamin AC (2007) Sweet potato: a review of its past, present, and future role in human nutrition. Adv Food Nutr Res 52:1-59. https://dx.doi.org/10.1016/S1043-4526(6)52001-7
Bubici G, Kaushal M, Prigigallo MI, Gómez-Lama CC, Mercado-Blanco J (2019) Corrigendum: Biological control agents against fusarium wilt of banana. Front Microbiol 10:1290. https://doi.org/10.3389/fmicb.2019.01290
Cao S, Ouyang M, Zhou W, Cui H, Liu P, Tan J (2020) Soil pH and main nutrient characteristics of citrus orchards and their correlation in Hunan province. Soil and Fertilizer Sciences in China 1:31-38. https://doi.org/10.11838/sfsc.1673-6257.19125
Chen L, Feng Y, Luo Y, Zhang D (2014) Nutritional values of interplanting batatas vine and its compression processing product. Hunan Forestry Science and Technology 41(6):52-56. https://doi.org/ 10.3969/j.issn.1003-5710.2014.06.014
Dai Y, Yan Z, Xie J, Wu H, Xu L, Hou X, Gao L, Cui Y (2017) Soil bacteria diversity in rhizosphere under two types of vegetation restoration based on high throughput sequencing. Acta Pedologica Sinica 54(3):735-748. https://doi.org/10.11766/trxb201603150062
Dai Z, Wang Y, Yao X, Zhang J, Wang Y, Yao B, Wei L, Ji G (2020) Effects of maize/soybean intercropping on the microbial community characteristics of maize rhizosphere soil, maize yield and diseases. Journal of Yunnan Agricultural University(Natural Science) 35(5):756-764. https://doi.org/10.12101/j.issn.1004-390X(n).201910045
Dita M, Barquero M, Heck D, Mizubuti ES, Staver CP (2018) Fusarium wilt of banana: Current knowledge on epidemiology and research needs towards sustainable management. Front Plant Sci 9:1468. https://dx.doi.org/10.3389/fpls.2018.01468
Dong H, Ye Y, Guo Y, Li H (2020) Comparative transcriptome analysis revealed resistance differences of Cavendish bananas to Fusarium oxysporum f.sp. cubense race1 and race4. BMC Genetics 21(1):122. https://doi.org/10.1186/s12863-020-00926-3
Du C, Geng Z (2021) Effects of seasonal changes of soil properties on soil bacterial diversity and community structure of two forest types in qinling mountains. Journal of Northwest Forestry University 36(1):54-61. https://doi.org/ 10.3969/j.issn.1001-7461.2021.01.08
Fan XL, Li J (2014) Effectiveness of alkaline fertilizer on the control of banana Fusarium wilt and regulation of soil acidity in banana orchard. Journal of Plant Nutrition and Fertilization 20:938-946. https://doi.org/10.11674 /zwyf.2014.0416
Fu X, Wang J, Xie M, Zhao F, Doughty R (2020) Increasing temperature can modify the effect of straw mulching on soil C fractions, soil respiration, and microbial community composition. PloS One 15(8):e0237245. https://doi.org/10.1371/journal.pone.0237245
Furtado EL, Bueno CJ, Oliveira ALD, Menten JOM, Malavolta E (2009) Relações entre ocorrência do Mal-de-Panama em bananeira da cv. Nanicão e nutrientes no solo e nas folhas. Tropical Plant Pathology 34:211-215. https://doi.org/10.1590/S1982-56762009000400002
Ge S, Hao W, Jiang H, Wei S, Jiang Y (2014) Distribution characteristics of soil organic matter and ph and the correlation to soil nutrients in apple orchards of yantai. Chinese Agricultural Science Bulletin 30(13):274-278. https://doi.org/10.11924/j.issn.1000-6850.2013-2514
Grice EA, Kong HH, Conlan S, Deming CB, Davis J, Young AC, Program NCS, Bouffard GG, Blakesley RW, Murray PR, Green ED, Turner ML, Segre JA (2009) Topographical and temporal diversity of the human skin microbiome. Science 324(5931):1190-1192. https://dx.doi.org/10.1126/science.1171700
Heslop-Harrison JS, Schwarzacher T (2007) Domestication, genomics and the future for banana. Annals of Botany 100(5):1073–1084. https://doi.org/10.1093/aob/mcm191
Huang F, Liu Z, Mou H, Li J, Zhang P, Jia Z (2019) Impact of farmland mulching practices on the soil bacterial community structure in the semiarid area of the loess plateau in China. European Journal of Soil Biology 92:8-15. https://doi.org/10.1016/j.ejsobi.2019.04.001
Huang LF, Song LX, Xia XJ, Mao WH, Shi K, Zhou YH, Yu JQ (2013) Plant-soil feedbacks and soil sickness: from mechanisms to application in agriculture. J Chem Ecol 39(2):232-42. https://doi.org/10.1007/s10886-013-0244-9
Huang YH, Wang RC, Li CH, Zuo CW, Wei YR, Zhang L, Yi GJ (2012) Control of Fusarium wilt in banana with Chinese leek. European Journal of Plant Pathology 134(1):87-95. https://doi.org/10.1007/s10658-012-0024-3
Hwang SC, Ko WH (2004) Cavendish banana cultivars resistant to fusarium wilt acquired through somaclonal variation in taiwan. Plant Dis 88(6):580-588. https://doi.org/10.1094/PDIS.2004.88.6.580
Ishaq SL, Seipel T, Yeoman C, Menalled FD (2020) Dryland cropping systems, weed communities, and disease status modulate the effect of climate conditions on wheat soil bacterial communities. Msphere 5(4):e00340-20. https://doi.org/10.1128/mSphere .00340-20
Ishida H, Suzuno H, Sugiyama N, Innami S, Tadokoro T, Maekawa A (2000) Nutritive evaluation on chemical components of leaves, stalks and stems of sweet potatoes (Ipomoea batatas poir). Food Chemistry 68(3):359-367. https://doi.org/10.1016/S0308-8146(99)00206-X
Jiang LL, Gong QT, Wu HB, Sheng FJ, Sun RH (2019) Effects of different grasses cultivation on apple orchard soil microbial community. Chinese Journal of Applied Ecology 30(10):3482-3490. https://doi.org/10.13287/j.1001-9332.201910.039
Kong C (2007) Chemical Interactions between plant and other organisms: a potential strategy for pest management. Scientia Agricultura Sinica 40(4):712-720. https://doi.org/10.3321/j.issn:0578-1752.2007.04.009
Li H, Li Y, Nie Y (2019) Research status of occurrence and control of fusarium wilt of banana. Journal of South China Agricultural University 40(5):128-136. https://doi.org/10.7671/j.issn.1001-411X.201905062
Lian J, Wang Z, Zhou S (2008) Response of endophytic bacterial communities in banana tissue culture plantlets to Fusarium wilt pathogen infection. J Gen Appl Microbiol 54(2):83-92. https://doi.org/10.2323/jgam.54.83
Liang JJ, Xu Y, Xie Y, Pang ZW, Mo L, Peng X (2011a) Isolation and phylogenitic analysis of thermophilic fung. Biotechnology 21(5):54-58. https://doi.org/10.3969/j.issn.1004-311X.2011.05.126
Liang Y, Wang F, Li AN, Li DC (2011b) Thermotolerant fungi and their phylogenetic analyses based on rDNA-ITS sequences. Mycosystema 30(4):542-550. https://doi.org/10.13346/j.mycosystema.2011.04.017
Lin F, Gao J, Zeng T, Zeng H (2010) Isolation and identification of banana vasicular wilt in hainan province and determination of biological characteristics of strains Focr1 and Focr4. Genomics and Applied Biology 29(2):314-321. https://doi.org/10.3969/gab.029.000314
Lin SC, Zhang SS, Zhou LF, Huang YY, Hu FP (2000) Identification of banana vascular wilt in Fujian. Journal of Fujian Agricultural and Forestry University 29:465-469. https://doi.org/10.13323/j.cnki.j.fafu(nat.sci.).2000.04.012
Liu S, Tao C, Li C, Shen Z, Li R, Shen Q (2019) Effects of irrigating disinfectant water on the banana plant growth and the number of cultivable microorganisms. Journal of Nanjing Agricultural University 42(3):456-464. https://doi.org/10.7685/jnau.201809023
Maryani N, Lombard L, Poerba YS, Subandiyah S, Crous PW, Kema G (2019) Phylogeny and genetic diversity of the banana fusarium wilt pathogen Fusarium oxysporum f. sp. cubense in the Indonesian centre of origin. Studies in Mycology 92:155–194. https://doi.org/10.1016/j.simyco.2018.06.003
Pattison AB, Wright CL, Kukulies TL, Molina AB (2014) Ground cover management alters development of Fusarium wilt symptoms in Ducasse bananas. Australasian Plant Pathology 43(4)：465-476. https://doi.org/10.1007/s13313-014-0296-5
Pegg KG, Coates LM, O'Neill WT, Turner DW (2019) The epidemiology of fusarium wilt of banana. Frontiers in Plant Science 10:1395. https://doi.org/10.3389/fpls.2019.01395
Pei GP, Wang D, Zhang JL (2010) Study on the occurring reasons and controls of continuous cropping obstacle in potato. Guangdong Agricultural Sciences 37(6):30-32. https://doi.org/10.16768/j.issn.1004-874x.2010.06.038
Peng S, Wang YM, Ye XH (2014) Effects of soil habitat factors on growth of fusarium oxysporum f. sp. niveum and fusarium oxysporum f. sp. cucumerinum. Soil 46(5):845-850. https://doi.org/10.13758/j.cnki.tr.2014.05.012
Ploetz RC (2015) Fusarium wilt of banana. Phytopathology 105:1512-1521. http://dx.doi.org/10.1094/PHYTO-04-15-0101-RVW
Qiu H (2019) Study on the correlation between nitrogen，phosphorus，potassium and ph in five crop garden economic crops. Agricultural Science and Engineering in China 31(1):51-55. https://doi.org/10.19518/j.cnki.cn11-2531/s.2019.0006
Sayer EJ, Oliver AE, Fridley JD, Askew AP, Mills RT, Grime JP (2017) Links between soil microbial communities and plant traits in a species‐rich grassland under long‐term climate change. Ecology and Evolution 7(3):855-862. https://doi.org/10.1002/ece3.2700
Shen Z, Ruan Y, Xue C, Zhong S, Li R, Shen Q (2015) Soils naturally suppressive to banana fusarium wilt disease harbor unique bacterial communities. Plant and Soil 393(1):21-33. https://doi.org/10.1007/s11104-015-2474-9
Sun H, Mu T, Xi L, Zhang M, Chen J (2014) Sweet potato (Ipomoea batatas L.) leaves as nutritional and functional foods. Food Chemistry 156:380-389. https://dx.doi.org/10.1016/j.foodchem.2014.01.079
Tan G, Liu Y, Peng S, Yin H, Meng D, Tao J, Gu Y, Li J, Yang S, Xiao N, Liu D, Xiang X, Zhou Z (2021) Soil potentials to resist continuous cropping obstacle: Three field cases. Environ Res 200:111319. https://doi.org/10.1016/j.envres.2021.111319
Tang H, Li C, Xiao X, Shi L, Cheng K, Wen L, Li W (2020) Effects of short-term manure nitrogen input on soil microbial community structure and diversity in a double-cropping paddy field of southern China. Scientific Reports 10(1):1-9. https://doi.org/10.1038/s41598-020-70612-y
Tripathi L, Atkinson H, Roderick H, Kubiriba J, Tripathi JN (2017) Genetically engineered bananas resistant to Xanthomonas wilt disease and nematodes. Food and Energy Security 6(2):37–47. https://doi.org/10.1002/fes3.101
Varma V, Bebber DP (2019) Climate change impacts on banana yields around the world. Nature Climate Change 9(10): 752–757. https://doi.org/10.1038/s41558-019-0559-9
Vries FTD, Griffiths RI, Bailey M, Craig H, Girlanda M, Gweon HS, Hallin S, Kaisermann A, Keith AM, Kretzschmar M, Lemanceau P, Lumini E, Mason KE, Oliver A, Ostle N, Prosser JI, Thion C, Thomson B, Bardgett RD (2018) Soil bacterial networks are less stable under drought than fungal networks. Nature Communications 9(1):1-12. https://doi.org/ 10.1038/s41467-018-05516-7
Vries FTD, Shade A (2013) Controls on soil microbial community stability under climate change. Frontiers in Microbiology 4:265. https://doi.org/10.3389/fmicb.2013.00265
Wang B, Li R, Ruan Y, Ou Y, Zhao Y, Shen Q (2015) Pineapple–banana rotation reduced the amount of fusarium oxysporum more than maize–banana rotation mainly through modulating fungal communities. Soil Biology and Biochemistry 86:77-86. https://dx.doi.org/10.1016/j.soilbio.2015.02.021
Wang D, Peng C, Zheng X, Chang L, Xu B, Tong Z (2020) Secretome analysis of the banana fusarium wilt fungi Foc R1 and Foc Tr4 reveals a new effector oastl required for full pathogenicity of Foc TR4 in banana. Biomolecules 10(10):1430. https://doi.org/10.3390/biom10101430
Wang L, Jing T, Yin X, Su L, Wang B, Li J, Ying B (2020) Effects of different planting patterns on soil nutrients and culturable microorganisms in banana root zone. South China Fruits 49(4):80-86+89. https://doi.org/10.13938/j.issn.1007-1431.20190647
Wu X, Wang R, Hu H, Xiu WM, Li G, Zhao JN, Yang DL, Wang LL, Wang XY (2020) Response of bacterial and fungal communities to chemical fertilizer reduction combined with organic fertilizer and straw in fluvo-aquic soil. Environmental Science 41(10):4669-4681. https://doi.org/ 10.13287/j.1001-9332.201910.039
Xu H, Jiang MJ, Wei YK, Yan HM (2012) Damage of continuous cropping on plants and its formation mechanism. Hubei Agricultural Sciences 51(5):870-872. https://doi.org/10.14088/j.cnki.issn0439-8114.2012.05.041
Xu L, Zhang X, Li H, Chen B, Huang B, Chen W, Feng Y, Xiao W, Zhou D, Gan D (2017) The breeding of new banana varieties‘Nan Tian Huang’for resistance to fusarium wilt. Chinese Journal of Tropical Crops 38(6): 998-1004. https://doi.org/10.3969/j.issn.1000-2561.2017.06.003
Zeng L, Lin W, Lu S, Wang F, Xia L, Liu W, Wu C, Zhou J, Du C, Cai K, Liu J (2019) Continual effect and soil microbial ecology mechanism of banana-sugarcane rotation controlling Fusarium wilt of banana (I). Chinese Journal of Eco-Agriculture 27(2):257-266. https://doi.org/10.13930/j.cnki.cjea.180361
Zhang H, Mallik A, Zeng RS (2013) Control of panama disease of banana by rotating and intercropping with chinese chive (Allium tuberosum rottler): Role of plant volatiles. J Chem Ecol 39:243–252. https://doi.org/10.1007/s10886-013-0243-x
Zhang X, Zhang L, Dong T, Li Z, Li Y, He W, Jiang J, Chen J, Fan X (2021) Evaluation of nutrition properties of banana variety ‘Zhongjiao No 9’with high resistance to fusarium wilt disease. Chinese Journal of Tropical Crops 42(11): 3242-3249. https://doi.org/10.3969/j.issn.1000-2561.2021.11.025
Zhong W, Gu T, Wang W, Zhang B, Lin X, Huang Q, Shen W (2010) The effects of mineral fertilizer and organic manure on soil microbial community and diversity. Plant and Soil 326(1):511-522. https://doi.org/10.1007/s11104-009-9988-y
Zhou J, Xia F, Liu X, He Y, Xu J, Brookes PC (2014) Effects of nitrogen fertilizer on the acidification of two typical acid soils in South China. Journal of Soils and Sediments 14(2):415-422. https://doi.org/10.1007/s11368-013-0695-1

Effects of Sweet Potato Intercropping in Banana Orchard on Soil Microbial Population Diversity

Status:

Journal Publication

Version 2

Abstract

Purpose

Methods

Results

Conclusions

Figures

Introduction

Materials And Methods

Results

Discussion

Conclusions

Declarations

References

Status:

Journal Publication

Version 2