Century long fertilization reduces stochasticity controlling grassland microbial community succession

Liang, Yuting; Ning, Daliang; Lü, Zhenmei; Zhang, Na; Hale, Lauren; Wu, Liyou; Clark, Ian M.; McGrath, S. P.; Storkey, Jonathan; Hirsch, P. R.; Sun, Bo; Zhou, Jizhong

doi:10.1101/638908

Cited by 10 publications

(14 citation statements)

References 77 publications

(83 reference statements)

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“…Microbial networks were constructed for the two periods: the first one hundred (from 1870 to 1976) and the latest two decades (from 1984 to 2008). Detailed information and descriptions for these data can be found at Liang et al (2019). Mantel test and Pearson's correlation test were performed to determine the effect of soil properties and plant diversity on microbial functional gene composition and structure.…”

Section: Discussionmentioning

confidence: 99%

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Plant–microbe networks in soil are weakened by century‐long use of inorganic fertilizers

Huang

McGrath

Hirsch

et al. 2019

Microbial Biotechnology

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108

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Summary Understanding the changes in plant–microbe interactions is critically important for predicting ecosystem functioning in response to human‐induced environmental changes such as nitrogen (N) addition. In this study, the effects of a century‐long fertilization treatment (> 150 years) on the networks between plants and soil microbial functional communities, detected by GeoChip, in grassland were determined in the Park Grass Experiment at Rothamsted Research, UK. Our results showed that plants and soil microbes have a consistent response to long‐term fertilization—both richness and diversity of plants and soil microbes are significantly decreased, as well as microbial functional genes involved in soil carbon (C), nitrogen (N) and phosphorus (P) cycling. The network‐based analyses showed that long‐term fertilization decreased the complexity of networks between plant and microbial functional communities in terms of node numbers, connectivity, network density and the clustering coefficient. Similarly, within the soil microbial community, the strength of microbial associations was also weakened in response to long‐term fertilization. Mantel path analysis showed that soil C and N contents were the main factors affecting the network between plants and microbes. Our results indicate that century‐long fertilization weakens the plant–microbe networks, which is important in improving our understanding of grassland ecosystem functions and stability under long‐term agriculture management.

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Section: Discussionmentioning

confidence: 99%

“…Detailed information and descriptions for these data can be found at Liang et al . (). Mantel test and Pearson's correlation test were performed to determine the effect of soil properties and plant diversity on microbial functional gene composition and structure.…”

Section: Methodsmentioning

confidence: 97%

Plant–microbe networks in soil are weakened by century‐long use of inorganic fertilizers

Huang

McGrath

Hirsch

et al. 2019

Microbial Biotechnology

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108

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“…Some studies have shown that the long term fertilization could limit the randomness of the microbial community succession in the cultivated soil and make the soil to be only suitable for the survival of certain kinds of bacteria. As a result, the microbial community structures in the planting soils gradually converged [29]. Meanwhile, the plants can shape their rhizosperic microbiome structure by the root exudates during the growth, and then directionally change the rhizospheric microbial community structure [30].…”

Section: Discussionmentioning

confidence: 99%

Effects of Fritillaria Taipaiensis Long Term Single Planting on the Bacterial Diversity and Main Bio-chemical Factors in the Rhizospheric Soils

Zhou

Yang

et al. 2021

Preprint

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Fritillaria taipaiensis is a traditional Chinese herbal plant. Germplasm degradation usually appears during its extended years of cultivation. Aiming to explore the mechanisms of the germplasm degradation, the bacterial diversities, bio-chemical characters in the rhizospheric soils of F. taipaiensis with different cultivation years from 1 to 5 were analyzed. The result showed the Chao1 and the ACE indices of the bacterial community had no significant difference among samples while the Shannon and Simpson indices declined with the cuntivation year; the dominant bacteria phylum was Proteobacteria, the remaining phyla were Chloroflexi, Nitrospirae, Planctomycetes, Actinobacteria, Gemmatimonadetes, Firmicutes, Verrucomicrobia, Bacteroidetes, and Acidobacteria; the relative abundances of the dominant bacterial genera changed obviously among samples; the bacterial community structures in the rhizospheric soils with cultivation years of 2 and 4 were significantly different from that in other samples; the content of organic matter, available N, available P, available K and the activities of urease, alkaline phosphatase in samples decreased with the cultivation years; the soil pH increased with the cultivation years to unsuitable for F. taipaiensis growth; the distance-based redundancy analysis showed the pH, organic matter content, available phosphorus content and urease activity were the primary factors in determining bacterial community composition, the intra group beta diversity of the rhizospheric bacteria increased after a initial decline with the cultivation year. These results indicated long term continuous cropping changed the bacterial community structure, fertility condition and soil enzyme activities in the F. taipaiensis rhizosphere soils, which could badly affect its growth.

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“…Briefly, we used the abundance‐weighted beta‐mean‐nearest‐taxon‐distance (βMNTD) metrics (Stegen et al, 2012) to assess the phylogenetic dissimilarity of bacterial communities between sites. We then calculated the pMST by comparing the observed and null expected phylogenetic beta‐diversity as Equations (1) and (2) (Liang et al, 2020). Since the βMNTD has no fixed upper limit, we standardized the βMNTD by dividing it with the estimated maximum βMNTD as previously reported (Ning et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

High historical variability weakens the effects of current climate differentiation on microbial community dissimilarity and assembly

Kuang

Bates

Wan

et al. 2021

Global Change Biology

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Understanding the influences of global climate change on soil microbial communities is essential in evaluating the terrestrial biosphere's feedback to this alarming anthropogenic disturbance. However, little is known about how intra‐site historical climate variability can mediate the influences of current climate differences on community dissimilarity and assembly. To fill this gap, we examined and disentangled the interactive effects of historical climate variability and current climate differences on the soil bacterial community dissimilarity and stochasticity of community assembly among 143 sites from 28 forests across eastern China. We hypothesize that the relative importance of stochasticity and community dissimilarity are related to historical climate variability and that an increasing sum of intra‐site historical variability enhances stochasticity while reduces dissimilarity between two communities. To test our hypothesis, we statistically controlled for covariates between sites including differences in soil chemistry, plant diversity, spatial distance, and seasonal climate variations at annual timescales. We observed that an increase in inter‐site current climate differences led to a reduced impact of stochasticity in community assembly and a pronounced divergence between communities. In stark contrast, when communities were subjected to a high level of intra‐site historical climate fluctuation, the observed impact incurred from current climate differences was substantially weakened. Moreover, the influence of increased historical variability was consistent along the gradient of current temperature differences between sites. However, effects induced by historical fluctuation in precipitation were disproportional and only evident when small inter‐site differences were observed. Consequently, if the prior climate variability is ignored, especially regarding environmental factors like temperature, we assert that the influence current climate differentiation has on regulating community dissimilarity and assembly stochasticity will be underestimated. Together, our findings highlight the importance and need of explicitly controlling the mean and the historical variability of climate factors for the next “generation” of climate change experiments to come.

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Century long fertilization reduces stochasticity controlling grassland microbial community succession

Abstract: 21

Cited by 10 publications

References 77 publications

Plant–microbe networks in soil are weakened by century‐long use of inorganic fertilizers

Plant–microbe networks in soil are weakened by century‐long use of inorganic fertilizers

Effects of Fritillaria Taipaiensis Long Term Single Planting on the Bacterial Diversity and Main Bio-chemical Factors in the Rhizospheric Soils

High historical variability weakens the effects of current climate differentiation on microbial community dissimilarity and assembly

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