Literature DB >> 27775000

Different responses of rhizosphere and non-rhizosphere soil microbial communities to consecutive Piper nigrum L. monoculture.

Zhigang Li1, Chao Zu1, Can Wang1, Jianfeng Yang1, Huan Yu1, Huasong Wu1.   

Abstract

Soil microorganisms have important influences on plant growth and health. In this study, four black pepper fields consecutively monocultured for 12, 18, 28 and 38 years were selected for investigating the effect of planting age on rhizosphere and non-rhizosphere soil microbial communities and soil physicochemical properties. The results revealed that the relative abundance of the dominant bacterial phyla in rhizosphere soil increased considerably with long-term consecutive monoculture but decreased inpan> non-rhizosphere soil with a significanpan>t declinpan>e inpan> Firmicutes. For funpan>gi, anpan> inpan>creasinpan>g trend over time was observed inpan> both rhizosphere anpan>d non-rhizosphere soils, with the abunpan>danpan>ce of the pathogenic funpan>gi pan> class="Species">Fusarium increasing significantly accompanied by a decrease in the bacteria Pseudomonas and Bacillus that is beneficial for black pepper. Consecutive monoculture, especially for 38 years, considerably decreased soil microbial diversity. Additionally, the rhizosphere soil pH and organic matter and available K contents decreased with increasing planting duration, though available N and P increased. All soil nutrient contents and microbial diversity indices were higher in rhizosphere soil compared to non-rhizosphere soil. The results suggest that long-term consecutive monoculture leads to variations in soil microbial community composition and physicochemical properties in both rhizosphere and non-rhizosphere soils, thus inhibiting the black pepper growth.

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Year:  2016        PMID: 27775000      PMCID: PMC5075767          DOI: 10.1038/srep35825

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Black pepper (n class="Species">Piper nigrum L.), of the Piperaceae family, is a perennial woody climber plant that yields the commercial product known as “black pepper”12. Considered to be the “King of Spices”, black pepper has a wide range of uses, from a simple dietary constituent to compelling pharmacological benefits34. The plant has great economic importance in many tropical countries, and Vietnam, India, Indonesia, Brazil and China are the world’s major producers and exporters of the black pepper commodity5. Hainan Province, the major producer and exporter in China, cultivates 22,000 ha of P. nigrum and produces 3.6 × 107 kg of dried peppercorns annually, comprising 90% of the pepper production in China. This constitutes an important tropical crop industry in China, with an output value of more than 15 million USD6. However, consecutive monoculture problems are among the key actors that affect the productivity and quality of black pepper in China78. Although consecutive cropping is common in agricultun class="Chemical">ral production, it canpan> cause issues such as soil quality degradation9, crop yield reduction10, and aggravated crop pest-induced plant diseases11. For black pepper, long-term monoculture results in poor growth, low yield and serious disease, severely hindering the black pepper industry. There are a certain number of researches on black pepper consecutive monoculture problems, mainly focused on fruit quality12, soil nutrition and physicochemical properties1314. Slow decline/wilt, n class="Disease">Phytophthora foot rot disease anpan>d pan> class="Species">root-knot nematodes are the major black pepper diseases. These three kinds of diseases occur and spread more frequently in long-term consecutive monocultured black pepper fields57. Fusarium is reported to be the pathogenic fungus of black pepper slow decline/wilt5, and Pseudomonas and Bacillus has antagonist effects against Phy. Capsici15 and root-knot nematode16. However, the changes of the abundance of the pathogenic fungus Fusarium and the antagonistic bacteria Pseudomonas and Bacillus in the black pepper soil with the planting age has not been reported. The rhizosphere is a hot spot of microbial inten class="Chemical">ractions, as exudates released by planpan>t roots are the mainpan> food source for microorganpan>isms anpan>d a drivinpan>g force of their population density anpan>d activities1718. Planpan>ts produce root exudates that stimulate heterotrophic growth, which leads to local competition between roots anpan>d microorganpan>isms for inpan>organpan>ic nutrients1920, anpan>d the root-associated microbial communpan>ity plays anpan> importanpan>t role inpan> the soil ecosystem, inpan>fluencinpan>g manpan>y soil biochemical processes anpan>d impactinpan>g the growth anpan>d health of planpan>ts21. Although a large number of studies have shown that continpan>uous croppinpan>g results inpan> chanpan>ges inpan> the rhizosphere soil microbial structure, very few studies have inpan>volved black pepper. Conversely, non-rhizosphere soil is not (or only lightly) affected by planpan>ts roots anpan>d root exudates, with a consequent lower level of microbial activity anpan>d soil fertility. Nonetheless, this part of the soil is necessary for the stability of soil aggregates and the resistance of soil to negative phenomena (e.g., soil erosion, leaching of nutrients)22. There are few studies to date on the effect of continuous cropping on non-rhizosphere or bulk soil microbial community composition. Furthermore, comprehensive comparison of rhizosphere and non-rhizosphere soil microbial communities and the physicochemical property response to continuous cropping are rarely reported. Soil physicochemical characteristics, especially soil pan> class="Chemical">nitrogen (N) availability and soil pH, have a large effect on the composition of soil microbial communities2324. Our previous study reported that long-term black pepper consecutive monoculture led to a significant decline in soil pH, organic matter (OM), and enzymatic activities, resulting in a decrease in soil bacterial abundance25. In the present study, we focused in comparing the effect of long-term consecutive monoculture on the composition of bacterial and fungal communities as well as the physicochemical characteristics between rhizosphere and non-rhizosphere soils.

Results

Microbial community composition

After filtering reads according to basal quality control and singleton open class="Chemical">rational taxonomic unpan>it (OTU) removal, 1,477,241 sequences comprisinpan>g 9,665 of bacterial OTUs were obtainpan>ed from 24 samples. The number of high-quality sequences per sample varied from 36,084 to 89,822. Classified sequences across all samples were affiliated with 25 bacterial phyla, anpan>d the remainpan>inpan>g sequences were unpan>classified. The dominpan>anpan>t phyla (avepan> class="Chemical">rage relative abundance [ARA] >1%) across all samples were Acidobacteria (23.41%), Proteobacteria (18.83%), Firmicutes (6.75%), Chloroflexi (6.37%), Verrucomicrobia (5.57%), Actinobacteria (3.91%), Planctomycetes (3.87%), Bacteroidetes (3.09%) and Gemmatimonadetes (1.09%) (Fig. S1a). In addition, Nitrospira, Armatimonadetes, Cyanobacteria and WS3 were present in most soils but at relatively low abundance (ARA: 0.1–1%). Twelve other rarer phyla belonged to Others (ARA <0.1%). Regarding fungi, after filtering reads as indicated above, pyrosequencing-based analysis of ITS sequences recovered 2,039,925 high-quality sequences across all samples, with 47,817–139,906 high-quality sequences per sample clustering into 3,249 OTUs. Based on 97% species similarity, 2,921 fungal OTUs from Ascomycota were predominantly observed, accounting for 89.92% of the total fungal sequences obtained (Fig. S1b). The other four phyla observed were Basidiomycota (2.52%), Zygomycota (0.91%), Chytridiomycota (0.44%) and Glomeromycota (0.01%); 6.21% of fungi were unclassified. The relative abundance (n class="Chemical">RA) of different phyla anpan>d genepan> class="Chemical">ra from rhizosphere and non-rhizosphere soils were compared (Figs 1 and 2). As shown in Fig. 1a, long-term monoculture resulted in considerable increases in RA of the dominant bacteria phyla in the rhizosphere soil but decreases in the non-rhizosphere soil. In rhizosphere soil, RA of Acidobacteria and Firmicutes decreased, whereas that of Proteobacteria, Chloroflexi, Verrucomicrobia, Actinobacteria, Planctomycetes, Bacteroidetes and Gemmatimonadetes increased. In non-rhizosphere soil, RA of Firmicutes decreased from 20.31% (12 years) to 5.37% (38 years). In contrast, a rising trend of fungal RA was observed in both the rhizosphere and non-rhizosphere soils as planting duration increased (Fig. 1b), with the RA of Ascomycota, Basidiomycota, Zygomycota and Glomeromycota increasing in both soil types. However, greater Zygomycota abundance was detected in rhizosphere soil compared to non-rhizosphere soil.
Figure 1

Relative abundance of main bacterial (a) and fungal (b) phylum in rhizosphere and non-rhizosphere soil at four consecutive monoculture spans.

Figure 2

Relative abundances of the top 10 bacterial (a) and fungal (b) genera in rhizosphere and non-rhizosphere soil at four consecutive monoculture spans. The “12y”, “18y”, “28y” and “38y” refers to the four consecutive monoculture spans of 12, 18, 28 and 38 years, respectively.

At the genus level (Fig. 2), GP4 and GP6 genen class="Chemical">ra had higher pan> class="Chemical">RA in rhizosphere soil than in non-rhizosphere soil, whereas the opposite trend was observed for the other eight genera. In non-rhizosphere soil, the RA of Ktedonobacter decreased as planting duration increased; however, the RA of other genera exhibited no obvious variation trend. For fungi, the tendencies of almost all genera in the rhizosphere soil were similar to those in the non-rhizosphere soil, except for Aspergillus, which decreased in the rhizosphere soil and increased in the non-rhizosphere soil. Strikingly, the pathogenic fungus n class="Species">Fusarium inpan>creased significanpan>tly as planpan>tinpan>g dupan> class="Chemical">ration increased in both the rhizosphere and non-rhizosphere soils. In contrast, Pseudomonas and Bacillus, beneficial for the growth of black pepper, showed a considerable decline.

Bacterial and fungal α-diversity

The microbial community richness and diversity indices are listed in Table 1. The coven class="Chemical">rage of all samples was above 96%, inpan>dicatinpan>g that the depth of the sequencinpan>g met the needs of our experiments. With regard to funpan>gi, the Shanpan>non inpan>dex revealed a considepan> class="Chemical">rable decline in both rhizosphere and non-rhizosphere soils as the planting duration increased. In particular, the soil fungi diversity significantly decreased after 38 years of black pepper cultivation. For bacteria, the soil bacterial richness and diversity decreased with planting duration in both the rhizosphere and non-rhizosphere soils, even though the Chao1 and Shannon indices did not reveal a significant difference.
Table 1

Bacterial and fungal α-diversity indices in rhizosphere and non-rhizosphere soil.

Microbial communitySoil sampleConsecutive monoculturing spansCoverageChao 1Shannon
BacteriaRhizosphere Soil12 y96.49 ± 0.24 a4930.32 ± 421.96 ab6.72 ± 0.40 a
18 y96.36 ± 0.22 a5248.75 ± 349.74 a7.09 ± 0.16 a
28 y97.10 ± 1.30 a4756.31 ± 269.36 abc6.82 ± 0.22 a
38 y96.65 ± 0.21 a4676.70 ± 376.47 abc6.59 ± 0.26 a
Non-rhizosphere Soil12 y97.33 ± 0.93 a3854.48 ± 255.05 cd5.92 ± 0.95 a
18 y96.55 ± 0.50 a4143.82 ± 184.53 bcd6.63 ± 0.39 a
28 y98.01 ± 0.93 a3502.97 ± 482.39 d6.22 ± 0.08 a
38 y97.49 ± 0.45 a3620.26 ± 360.17 d6.06 ± 0.34 a
FungiRhizosphere Soil12 y97.43 ± 0.04 a904.09 ± 23.05 a4.46 ± 0.05 a
18 y97.46 ± 0.41 a876.56 ± 31.13 a4.20 ± 0.25 abc
28 y97.59 ± 0.67 a854.45 ± 14.16 ab4.15 ± 0.09 abc
38 y97.65 ± 0.04 a822.09 ± 22.37 abc3.88 ± 0.07 c
Non-rhizosphere Soil12 y97.95 ± 0.53 a764.67 ± 17.44 bcd4.15 ± 0.12 abc
18 y97.54 ± 0.08 a887.06 ± 3.00 a4.29 ± 0.17 ab
28 y98.11 ± 0.25 a689.43 ± 80.69 d3.96 ± 0.12 bc
38 y97.98 ± 0.68 a732.71 ± 26.32 cd4.07 ± 0.06 bc

“12y”, “18y”, “28y” and “38y” refers to the four consecutive monoculture spans of 12, 18, 28 and 38 years, respectively. Values are presented as means ± standard deviation (n = 3). Means followed by the same letter for a given factor are not significantly different (P < 0.05, Turkey’s HSD test).

Soil chemical properties and effects on bacterial or fungal taxa

As shown in Table 2, the soil OM and available K (AK) contents decreased significantly with time of monoculture in both the rhizosphere and non-rhizosphere soils. Changes in the pH value for both soils showed fluctuation with a downward trend. Furthermore, available n class="Chemical">N (Apan> class="Chemical">N) and available P (AP) contents increased with time in the rhizosphere soil, and the AP value of the rhizosphere soil was approximately 10 times higher than that of the non-rhizosphere soil.
Table 2

Soil characteristics of black pepper fields.

Soil sampleConsecutive monoculturing spansOM (g/kg)AN (mg/kg)AP (mg/kg)AK (mg/kg)pH
Rhizosphere soil12 y21.64 ± 0.69 a117.48 ± 3.46 bc204.60 ± 14.63 c206.85 ± 13.54 b5.90 ± 0.62 ab
18 y17.36 ± 0.57 b126.93 ± 4.26 ab342.87 ± 42.62 b131.03 ± 9.11 cd5.92 ± 0.20 a
28 y15.59 ± 0.26 c129.85 ± 2.30 a462.18 ± 20.24 a168.81 ± 9.07 bc5.83 ± 0.24 ab
38 y15.27 ± 0.40 c131.03 ± 4.45 a467.15 ± 17.87 a141.37 ± 2.75 cd5.35 ± 0.02 abc
Non-rhizosphere soil12 y14.61 ± 0.27 cd107.96 ± 0.94 c48.42 ± 4.01 d253.06 ± 32.34 a5.17 ± 0.18 bc
18 y12.03 ± 0.24 ef120.44 ± 7.62 ab49.32 ± 0.70 d118.32 ± 3.37 d4.71 ± 0.12 c
28 y13.48 ± 1.06 de129.49 ± 3.44 a48.20 ± 0.12 d58.32 ± 1.41 e4.75 ± 0.10 c
38 y11.91 ± 0.29 f128.25 ± 0.98 ab48.36 ± 0.54 d127.53 ± 9.83 d4.64 ± 0.01 c

“12y”, “18y”, “28y” and “38y” refers to the four consecutive monoculture spans of 12, 18, 28 and 38 years, respectively. Values are presented as means ± standard deviation (n = 3). Means followed by the same letter for a given factor are not significantly different (P < 0.05, Turkey’s HSD test).

Monte Carlo tests based on soil chemical properties and the numbers of the most abundant bacterial and fungal phyla revealed that the selected soil chemical properties were significantly correlated with variations in the selected phyla (P = 0.01). Redundancy analysis (RDA) showed that the first and second RDA components explained 52.76% and 30.27% of the total bacterial and fungal variations, respectively (Fig. 3). For bacteria, the first component (RDA1), which explained 37.57% of the total variation, sepan class="Chemical">rated the rhizosphere soil samples obtainpan>ed from the four field plots of different planpan>tinpan>g dupan> class="Chemical">ration from the non-rhizosphere soil samples. As shown by their close groupings and vectors, the dominant bacterial phylum in the rhizosphere soil samples was Proteobacteria and was related to AP, pH, and OM and AN contents, whereas the dominant bacterial phylum in the non-rhizosphere soil was Acidobacteria. Regarding fungi, the first component (RDA1), which explained 15.65% of the total variation of fungal phyla, separated the 38-year rhizosphere and non-rhizosphere soil samples from the other samples. As shown by their close grouping and vectors, the top fungal phylum in the 38-year treatments was Ascomycota and was related to the AN content.
Figure 3

Redundancy analysis (RDA) of abundant soil bacterial (a) and fungal (b) phyla and soil physicochemical properties for individual samples from four consecutive monoculture in black pepper fields. “12y”, “18y”, “28y” and “38y” refers to the four consecutive monoculture spans of 12, 18, 28 and 38 years, respectively.

Spearman’s n class="Chemical">rank-order correlation was used to evaluate relationships between abunpan>danpan>t phyla anpan>d soil physicochemical properties (Table S1). The results inpan>dicated different correlations of soil microbial phyla anpan>d soil physicochemical properties inpan> the rhizosphere anpan>d non-rhizosphere soils. For example, the pan> class="Chemical">RA of the non-rhizosphere soil microbial phyla was negatively correlated (phylum Firmicutes was positively correlated) to soil pH, but there was no significant correlation with AP. In contrast, there was no significant correlation with pH and a positive correlation with AP in the rhizosphere soil.

Discussion

In this study, Illumina MiSeq sequencing analysis of 16S rRn class="Chemical">NA anpan>d ITS sequences revealed that long-term consecutive black pepper monocroppinpan>g altered the structure of the soil microbial communpan>ity. The variations observed for bacteria were consistent with our previous results showinpan>g that Acidobacteria anpan>d Proteobacteria are the mainpan> phyla, with decreases inpan> Firmicutes, unpan>der long-term continpan>uous croppinpan>g25. In non-rhizosphere soil, the pan> class="Chemical">RA of Acidobacteria considerably increased with continuous planting, whereas Bacteroidetes and Firmicutes decreased. The variations in these three phyla were consistent with previous research on consecutive cropping26. With regard to fungi, Ascomycota was the most abundant phylum, accounting for 89.92%, and its RA increased significantly with planting duration. In rhizosphere soil, the RA of the top five phyla all increased with time. However, the Chytridiomycota RA decreased slightly in the rhizosphere soil, whereas the RA of the other four phyla increased. In addition, a significant decrease in the Shannon index of the rhizosphere soil was observed in the 38-year old field, suggesting that long-term consecutive cropping may cause black pepper rhizosphere soil fungal diversity to decrease significantly. Our experimental results demonstn class="Chemical">rate that at the genus level, the abunpan>danpan>ce of the pathogenic funpan>gus pan> class="Species">Fusarium increased significantly with time in both rhizosphere and non-rhizosphere soils. In contrast, Pseudomonas and Bacillus, beneficial bacteria for black pepper, showed a considerable decline. In this study, Fusarium, the pathogenic fungus of black pepper slow decline/wilt, significantly increased in both rhizosphere and non-rhizosphere soils. Thus, intensifying pathogen might cause black pepper to be more vulnerable to slow decline/wilt disease in long-term monoculture. Phytophthora foot rot disease and root-knot nematodes are the other two major black pepper diseases in China. Phytophthora capsici Leonian, which causes foot and root rot of black pepper, also referred to as “sudden wilt”, is a destructive and economically important pathogen of black pepper, occurring wherever the crop is grown27. Phy. capsici can infect all plant parts during all growth stages, and black pepper yield losses caused by Phy. capsici can reach 40–50%28. Root-knot nematodes, Meloidogyne spp., not only cause root damage that results in rot but also increase black pepper susceptibility to Phytophthora foot rot disease5. In our study, the RA of Pseudomonas and Bacillus, which have been reported to be antagonistic to Phy. capsici15 and root-knot nematode16, revealed a considerable decline with planting duration in both rhizosphere and non-rhizosphere soils. Increasing pathogen and decreasing antagonistic bacteria might cause black pepper to be more vulnerable to diseases in long-term monoculture fields. In accordance with our previous study results23, the soil OM and AK contents and the non-rhizosphere soil pH decreased significantly but An class="Chemical">N anpan>d AP inpan>creased with the dupan> class="Chemical">ration of consecutive monoculture. This may have been caused by the fertilizer regime applied to the black pepper fields. In China, to obtain higher yields, growers use large amounts of N and P fertilizers, whereas organic and K fertilizers have been ignored for a long time. Applying excessive amounts of N and P fertilizers not only causes the fertilizer to be ineffective but also causes the soil pH to decrease significantly2930. In addition, the rhizosphere soil AP content increased and was approximately 10 times higher than that in the non-rhizosphere soil; this may have been caused by root exudates, which play a major role in P bioavailability via several mechanisms3132. Such conditions may enhance the activity of phosphate-solubilizing bacteria, thus increasing the plant’s P supply33. However, the decline in OM content in both the rhizosphere and non-rhizosphere soils suggests that more organic fertilizers should be applied in long-term consecutive monoculture of black pepper. We also found that in each black pepper field plot, the rhizosphere soil pH as well as the AK (except in the 12-year field), AN, AP and soil OM contents were all higher than in the non-rhizosphere soil. This suggests that long-term consecutive monoculture results in considerable soil nutrient unbalance and soil acidification. Although this deterioration might be a certain ease for rhizosphere soil, this would still inhibit the growth of black pepper. The biological properties of rhizosphere soil can differ greatly from those of bulk soils34, and a similar phenomenon was observed in this study. First, the aven class="Chemical">rage pan> class="Chemical">RA of Proteobacteria in the rhizosphere soil (RA of 23.55%) was much higher than that in the non-rhizosphere soil (RA of 14.11%). Second, the RA of Firmicutes decreased significantly from 20.31% (12 years) to 5.37% (38 years) in the non-rhizosphere soil, but no significant difference was observed for the rhizosphere soil. Finally, at the genus level, the RA of most genera were different between the rhizosphere and non-rhizosphere soils. These results may be due to the complex interactions among root exudates, nutrient elements and soil microorganisms35. Moreover, soil nutrient bioavailability and microbial community richness and diversity were higher in the rhizosphere soil than in the non-rhizosphere soil. Overall, to understand the problems of consecutive monoculture of black pepper, more attention should be given to interactions among soil nutrient elements, root exudates and the microbial community, especially the function of root exudates in rhizosphere soil.

Methods

Sampling sites

The study was conducted at the Spice and Beverage Research Institute (18°72′pan> class="Chemical">N–18°76′N, 110˚19′E–110˚22′E), Wanning City, Hainan Province, P. R. China. This area is characterized by a tropical monsoon climate with an average temperature of 24.6 °C, average annual precipitation of 2,150 mm, and annual mean relative humidity of 85%. The experimental soil samples were collected on July 15, 2015, from four different black pepper (n class="Species">Piper nigrum L. cv. Reyinpan> No. 1) consecutive monoculture fields (12, 18, 28 and 38 years) with the same agronomic management and fertilization regime. For each black pepper field, nine black pepper plants were randomly selected, and soil sampled at random from each of three plants was mixed together as a single soil sample. For each plant, carefully dug up clods with black pepper roots. Soil farther than 1 cm from the roots was collected and considered as non-rhizosphere soil. Then, carefully remove the soil 5 mm away from the roots with brush and tweezers. Soil adjacent to the root segments, at 1–5 mm from the root surface, was shaken off and defined as rhizosphere soil. All soil samples were placed into sterile plastic bags, placed in an ice box, and transported to the laboratory. After passing through a 2-mm sieve, each sample was divided into two subsamples: one portion was air-dried for soil characteristic analysis, and the remainder was stored at −80 °C for DNA extraction.

DNA extraction and Illumina MiSeq sequencing

Total DNA was extracted from 24 soil samples using a MoBio PowerSoil™ DNA Isolation Kit (Mo Bio Laboratories Inc., Carlsbad, CA, USA) according to the manufacturer’s instructions. The Genomic DNA concentration and purity were measured using a NanoDrop ND-2000 spectrophotometer (NanoDrop Technologies, Wilmington, DE). Bacterium-specific primers 515F (GTGCCAGCMGCCGCGGTAA) and 806R (GGACTACVSGGGTATCTAAT) were used to amplify the V4 hyper-variable regions of the bacterial 16S rRn class="Chemical">NA gene. Funpan>gus-specific primers ITS1F (CTTGGTCATTTAGAGGAAGTAA)36 anpan>d ITS2 (GCTGCGTTCTTCATCGATGC)37 were selected to target the ITS1 region. The polymerase chain reaction (PCR) was performed according to our previous publication2338. Finally, paired-end sequencing was carried out using an Illumina MiSeq sequencer at Personal Biotechnology Co., Ltd (Shanghai, China).

OTU-based sequence analysis

OTU-based sequence analysis was carried out using our previous methods38. Briefly, after removing the adaptors and primer sequences, n class="Chemical">raw sequences were assembled for each sample accordinpan>g to the unpan>ique barcode usinpan>g QIIME39. Split sequences for each sample were merged usinpan>g FLASH V1.2.740, anpan>d low-quality sequences were discarded by QIIME. The sequences retainpan>ed for each sample were processed followinpan>g the established UPARSE pipelinpan>e41. Briefly, sequences with a quality score lower thanpan> 0.5 or a length shorter thanpan> 200 bp were removed. After discardinpan>g sinpan>gletons, the remainpan>inpan>g reads were assigned to OTUs with a threshold of 97% identity. The chimepan> class="Chemical">ra removal processes were then performed. Finally, bacterial representative sequences were searched against the RDP database4243, and fungal representative OTUs were classified using the UNITE database44.

Determination of soil physicochemical propertiesh

Soil physicochemical properties were determined in the same manner as reported in our previous paper23. Briefly, soil pH was measured using a glass electrode meter in a soil-n class="Chemical">water suspension (1:5 w/v). OM anpan>d Apan> class="Chemical">N (hydrolyzable N) were determined using the potassium dichromate external heating method. AP was determined using the molybdenum blue method. AK was determined by flame photometry.

Statistical analyses

Coven class="Chemical">rage, richness (Chao1 inpan>dex) anpan>d diversity (Shanpan>non inpan>dex) were used to estimate the α-diversity of each sample usinpan>g Mothur (version 1.36.0). Correlations between abunpan>danpan>t soil microbial phyla anpan>d soil characteristics were determined by RDA using the vegan package of R (version 3.2.3). One-way analyses of variance (ANOVA) with Tukey’s HSD multiple range tests were performed for multiple comparisons using SPSS V20.0 (SPSS Inc., USA), and Spearman’s rank correlations were calculated using SPSS V20.0 (SPSS Inc., USA).

Additional Information

How to cite this article: Li, Z. et al. Different responses of rhizosphere and non-rhizosphere soil microbial communities to consecutive n class="Species">Piper nigrum L. monoculture. Sci. Rep. 6, 35825; doi: 10.1038/srep35825 (2016).
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Review 10.  The rhizosphere microbiome and plant health.

Authors:  Roeland L Berendsen; Corné M J Pieterse; Peter A H M Bakker
Journal:  Trends Plant Sci       Date:  2012-05-05       Impact factor: 18.313

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  13 in total

1.  Effects of Different Continuous Cropping Years on Bacterial Community and Diversity of Cucumber Rhizosphere Soil in Solar-Greenhouse.

Authors:  Yang Li; Jingliang Chi; Jing Ao; Xiaomei Gao; Xiaohui Liu; Yulu Sun; Weiwei Zhu
Journal:  Curr Microbiol       Date:  2021-04-19       Impact factor: 2.188

2.  Microbial diversity and community structure changes in the rhizosphere soils of Atractylodes lancea from different planting years.

Authors:  Li-Jun Chen; Xiao-Qiang Wu; Yan Xu; Bu-Lei Wang; Shuai Liu; Jun-Feng Niu; ZheZhi Wang
Journal:  Plant Signal Behav       Date:  2020-12-08

3.  Microbial community analysis of apple rhizosphere around Bohai Gulf.

Authors:  Jihang Jiang; Zhen Song; Xiaotong Yang; Zhiquan Mao; Xiaohong Nie; Hui Guo; Xiawei Peng
Journal:  Sci Rep       Date:  2017-08-21       Impact factor: 4.379

4.  Tomato Cultivars With Variable Tolerances to Water Deficit Differentially Modulate the Composition and Interaction Patterns of Their Rhizosphere Microbial Communities.

Authors:  Alexis Gaete; Rodrigo Pulgar; Christian Hodar; Jonathan Maldonado; Leonardo Pavez; Denisse Zamorano; Claudio Pastenes; Mauricio González; Nicolás Franck; Dinka Mandakovic
Journal:  Front Plant Sci       Date:  2021-07-13       Impact factor: 5.753

5.  Rhizospheric microbial communities associated with wild and cultivated frankincense producing Boswellia sacra tree.

Authors:  Abdul Latif Khan; Sajjad Asaf; Ahmed Al-Rawahi; In-Jung Lee; Ahmed Al-Harrasi
Journal:  PLoS One       Date:  2017-10-20       Impact factor: 3.240

6.  Marchantia liverworts as a proxy to plants' basal microbiomes.

Authors:  Luis D Alcaraz; Mariana Peimbert; Hugo R Barajas; Ana E Dorantes-Acosta; John L Bowman; Mario A Arteaga-Vázquez
Journal:  Sci Rep       Date:  2018-08-23       Impact factor: 4.379

7.  Bacterial communities associated to Chilean altiplanic native plants from the Andean grasslands soils.

Authors:  Beatriz Fernández-Gómez; Jonathan Maldonado; Dinka Mandakovic; Alexis Gaete; Rodrigo A Gutiérrez; Alejandro Maass; Veronica Cambiazo; Mauricio González
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

8.  Response of Soil Fungal Community Structure to Long-Term Continuous Soybean Cropping.

Authors:  Hang Liu; Fengjuan Pan; Xiaozeng Han; Fengbin Song; Zhiming Zhang; Jun Yan; Yanli Xu
Journal:  Front Microbiol       Date:  2019-01-09       Impact factor: 5.640

9.  Variations of rhizospheric soil microbial communities in response to continuous Andrographis paniculata cropping practices.

Authors:  Junren Li; Xiuzhen Chen; Simin Li; Zimei Zuo; Ruoting Zhan; Rui He
Journal:  Bot Stud       Date:  2020-06-15       Impact factor: 2.787

10.  Effects of Long-term Cotton Continuous Cropping on Soil Microbiome.

Authors:  Hui Xi; Jili Shen; Zheng Qu; Dingyi Yang; Shiming Liu; Xinhui Nie; Longfu Zhu
Journal:  Sci Rep       Date:  2019-12-04       Impact factor: 4.379

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