Soil type determines the distribution of nutrient mobilizing bacterial communities in the rhizosphere of beech trees

Nicolitch, Océane; Colin, Yannick; Turpault, M.-P.; Uroz, Stéphane

doi:10.1016/j.soilbio.2016.09.018

Cited by 38 publications

(32 citation statements)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…bicolor ) and there was a strong overall effect of soil origin/horizon (Supporting information Table S3) suggesting that the physicochemical characteristics of the different soil horizons had a strong influence on bacterial community structure. Different soil types have been shown to affect bacterial microbiomes of Fagus sylvatica roots (Nicolitch et al ., ), although that study did not distinguish the possible influence of different ectomycorrhizal fungi. Other studies have shown effects of soil chemistry on composition of soil microbial communities including soil pH, and nutrient availability (Landesman et al ., ; Jeanbille et al ., ) and differences in the bioavailability of nutritive cations have been shown to impact the efficacy of mineral weathering bacterial communities (Lepleux et al ., ).…”

Section: Discussionmentioning

confidence: 98%

Bacterial microbiomes of individual ectomycorrhizal Pinus sylvestris roots are shaped by soil horizon and differentially sensitive to nitrogen addition

Marupakula

Mahmood

Jernberg

et al. 2017

Environmental Microbiology

View full text Add to dashboard Cite

Plant roots select non-random communities of fungi and bacteria from the surrounding soil that have effects on their health and growth, but we know little about the factors influencing their composition. We profiled bacterial microbiomes associated with individual ectomycorrhizal Pinus sylvestris roots colonized by different fungi and analyzed differences in microbiome structure related to soils from distinct podzol horizons and effects of short-term additions of N, a growth-limiting nutrient commonly applied as a fertilizer, but known to influence patterns of carbon allocation to roots. Ectomycorrhizal roots growing in soil from different horizons harboured distinct bacterial communities. The fungi colonizing individual roots had a strong effect on the associated bacterial communities. Even closely related species within the same ectomycorrhizal genus had distinct bacterial microbiomes in unfertilized soil, but fertilization removed this specificity. Effects of N were rapid and context dependent, being influenced by both soil type and the particular ectomycorrhizal fungi involved. Fungal community composition changed in soil from all horizons, but bacteria only responded strongly to N in soil from the B horizon where community structure was different and bacterial diversity was significantly reduced, possibly reflecting changed carbon allocation patterns.

show abstract

Section: Discussionmentioning

confidence: 98%

Bacterial microbiomes of individual ectomycorrhizal Pinus sylvestris roots are shaped by soil horizon and differentially sensitive to nitrogen addition

Marupakula

Mahmood

Jernberg

et al. 2017

Environmental Microbiology

View full text Add to dashboard Cite

show abstract

“…The model R² was calculated as the conditional R² according to Nakagawa and Schielzeth (2013), and the model p-value was obtained by likelihood ratio test of the full model with the effect in question against the model without the effect in question. All statistical analyses were done using R version 3.3.1 (R Core Team, 2018).…”

Section: Statisticsmentioning

confidence: 99%

“…Several bacterial genera such as Pseudomonas, Burkholderia, Bacillus, Enterobacter, Erwinia, Serratia, Acinetobacter, and Rhizobium are able to solubilize P (Rodriguez and Fraga, 1999). Under nutrient deficiency, PSB belonging to the genera Collimonas, Burkholderia, and Kitasatospora were more abundant than under high nutrient supply (Nicolitch et al, 2016). Furthermore, long-term P fertilization altered the abundance of Actinobacteria, Pseudomonadaceae, and Moraxellaceae (Mander et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Yet, the effect of N and P availability on P solubilization and the abundance of PSB has rarely been studied (Mander et al, 2012;Lepleux et al, 2013;Nicolitch et al, 2016). In a temperate beech forest, PSB were significantly more abundant in nutrient-poor than in nutrient-rich soils (Nicolitch et al, 2016), and PSB were significantly more abundant in unfertilized soils than in soils fertilized with P in three long-term grassland fertilizer trials in New Zealand (Mander et al, 2012). These studies suggest that the abundance of PSB is enhanced in nutrient-poor soils and suppressed by P addition, however, it is not clear yet how increasing N supply with and without P influences the abundance of PSB.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Nitrogen and Phosphorus Additions Alter the Abundance of Phosphorus-Solubilizing Bacteria and Phosphatase Activity in Grassland Soils

Widdig

Schleuß

Weig

et al. 2019

Front. Environ. Sci.

View full text Add to dashboard Cite

Microorganisms mobilize phosphorus (P) in soil by solubilizing bound inorganic P from soil minerals and by mineralizing organic P via phosphatase enzymes. Nitrogen (N) inputs are predicted to increase through human activities and shift plants to be more P limited, increasing the importance of P mobilization processes for plant nutrition. We studied how the relative abundance of P-solubilizing bacteria (PSB), PSB community composition, and phosphatase activity respond to N and P addition (+N, +P, +NP) in grassland soils spanning large biogeographic gradients. The studied soils are located in South Africa, USA, and UK and part of a globally coordinated nutrient addition experiment. We show that the abundance of PSB in the topsoil was reduced by −18% in the N and by −41% in the NP treatment compared to the control. In contrast, phosphatase activity was significantly higher in the N treatment than in the control across all soils. Soil C:P ratio, sand content, pH, and water-extractable P together explained 71% of the variance of the abundance of PSB across all study sites and all treatments. Further, the community of PSB in the N and NP addition treatment differed significantly from the control. Taken together, this study shows that N addition reduced the relative abundance of PSB, altered the PSB community, and increased phosphatase activity, whereas P addition had no impact. Increasing atmospheric N deposition may therefore increase mineralization of organic P and decrease solubilization of bound inorganic P, possibly inducing a switch in the dominant P mobilization processes from P solubilization to P mineralization.

show abstract

“…Non-sampling errors occur when samples are collected, recorded or analyzed erroneously, giving rise to values that deviate from the central tendency (SHIVER;BORDERS, 1996;HEIM et al, 2009;OLIVEIRA et al, 2014). Different instruments and collection professionals, nutrient mobility, irregularity of factors responsible for pedogenesis and inappropriate soil management contribute to the variability of the analytical results (ACQUA et al, 2013;NICOLITCH et al, 2016;TIAN et al, 2017). Even in the minimum cultivation system, haulage fertilizers, when ununiform or in rows, are activities that accentuate variability.…”

Section: Discussionmentioning

confidence: 99%

Sampling of Chemical Attributes in Forest Soils

Lafetá

Penido

Martins³

et al. 2019

View full text Add to dashboard Cite

Information about sample adequacy that represents soil chemical attributes distribution are fundamental for a better rationalization of the use of correctives and fertilizers. The objective was to evaluate the variability of these attributes and to size the minimum number of composite samples to represent the fertility of forest soils. The total area planted was 9,101ha, constituted of 265 commercial eucalypt stands. The 687 soil composite samples obtained were for chemical analysis. It was evaluated the performance of two exploratory analysis techniques and six sampling procedures. The attributes P, K, Ca, Mg and S presented higher coefficient of variation (>35%). In contrast, the distributions of Al, organic matter and, mainly, pH were the most homogeneous. The sample error was smaller as the amount of composite samples increased. The representative of all chemical attributes (sample error of 5%) was achieved with a minimum of 309 (one each 29ha, 1:29) and 295 (1:31) composite samples from sampling procedures simple casual and stratified by altitude class, respectively. Both procedures were promising for soil sampling, especially, when applying the boxplot for identification and removal of outliers. ResumoAmostragem de atributos químicos em solos florestais. Informações sobre a suficiência amostral que represente a distribuição de atributos químicos do solo são fundamentais para melhor racionalização do uso de corretivos e fertilizantes. O objetivo foi avaliar a variabilidade desses atributos e dimensionar o número mínimo de amostras compostas para representar a fertilidade de solos florestais. A área total de plantio foi de 9.101ha, constituída por 265 talhões comerciais de eucalipto. Foram obtidas 687 amostras compostas de solo para a análise química. Avaliou-se o desempenho de duas técnicas de análise exploratória e seis procedimentos de amostragem. Os atributos P, K, Ca, Mg e S apresentaram maior coeficiente de variação (>35%). Em contrapartida, as distribuições do Al, matéria orgânica e, principalmente, pH foram as mais homogêneas. O erro amostral foi menor à medida que aumentou a quantidade de amostras compostas. A representatividade de todos os atributos químicos (erro amostral de 5%) foi alcançada com o mínimo de 309 (uma a cada 29ha, 1:29) e 295 (1:31) amostras compostas para os procedimentos de amostragem casual simples e estratificada por classe de altitude, respectivamente. Ambos os procedimentos se mostraram promissores para a amostragem de solo, especialmente, quando se aplicou o boxplot para identificação e remoção de outliers. Palavras-chave: Boxplot; estratificação; tamanho da amostra.

show abstract

Soil type determines the distribution of nutrient mobilizing bacterial communities in the rhizosphere of beech trees

Cited by 38 publications

References 92 publications

Bacterial microbiomes of individual ectomycorrhizal Pinus sylvestris roots are shaped by soil horizon and differentially sensitive to nitrogen addition

Bacterial microbiomes of individual ectomycorrhizal Pinus sylvestris roots are shaped by soil horizon and differentially sensitive to nitrogen addition

Nitrogen and Phosphorus Additions Alter the Abundance of Phosphorus-Solubilizing Bacteria and Phosphatase Activity in Grassland Soils

Sampling of Chemical Attributes in Forest Soils

Contact Info

Product

Resources

About