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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2010 Jun 1;107(24):10938–10942. doi: 10.1073/pnas.0912421107

Shifting carbon flow from roots into associated microbial communities in response to elevated atmospheric CO2

Barbara Drigo a,b, Agata S Pijl a, Henk Duyts c, Anna M Kielak a, Hannes A Gamper a, Marco J Houtekamer d, Henricus T S Boschker d, Paul L E Bodelier e, Andrew S Whiteley f, Johannes A van Veen a,g, George A Kowalchuk a,h,1
PMCID: PMC2890735  PMID: 20534474

Abstract

Rising atmospheric CO2 levels are predicted to have major consequences on carbon cycling and the functioning of terrestrial ecosystems. Increased photosynthetic activity is expected, especially for C-3 plants, thereby influencing vegetation dynamics; however, little is known about the path of fixed carbon into soil-borne communities and resulting feedbacks on ecosystem function. Here, we examine how arbuscular mycorrhizal fungi (AMF) act as a major conduit in the transfer of carbon between plants and soil and how elevated atmospheric CO2 modulates the belowground translocation pathway of plant-fixed carbon. Shifts in active AMF species under elevated atmospheric CO2 conditions are coupled to changes within active rhizosphere bacterial and fungal communities. Thus, as opposed to simply increasing the activity of soil-borne microbes through enhanced rhizodeposition, elevated atmospheric CO2 clearly evokes the emergence of distinct opportunistic plant-associated microbial communities. Analyses involving RNA-based stable isotope probing, neutral/phosphate lipid fatty acids stable isotope probing, community fingerprinting, and real-time PCR allowed us to trace plant-fixed carbon to the affected soil-borne microorganisms. Based on our data, we present a conceptual model in which plant-assimilated carbon is rapidly transferred to AMF, followed by a slower release from AMF to the bacterial and fungal populations well-adapted to the prevailing (myco-)rhizosphere conditions. This model provides a general framework for reappraising carbon-flow paths in soils, facilitating predictions of future interactions between rising atmospheric CO2 concentrations and terrestrial ecosystems.

Keywords: 13C, arbuscular mycorrhizal, climate change, RNA-based stable isotope probing, rhizosphere


Anthropogenic CO2 emissions are clearly contributing to rising atmospheric CO2 levels, but the future rate of atmospheric CO2 elevation remains uncertain (1). A major contribution to this uncertainty is our lack of knowledge concerning the path of carbon flow through plants into the soil and the potential for climate–carbon cycle feedbacks involving vegetated terrestrial ecosystems (1). Elevated atmospheric CO2 leads to higher C assimilation by plants (2), and root-soil interactions facilitate movement of C to the soil (3), which represents the largest and most stable C pool in the terrestrial biosphere (4). In addition to potential long-term changes in litter quantity and quality, C fixed by plants can enter the soil through increased root turnover, greater sloughing off of cells, enhanced plant tissue breakdown, or increased root exudation (36). Plant-derived exudates provide energy for rhizosphere microbial communities, thereby influencing their structure and function (28). Arbuscular mycorrhizal fungi (AMF) form symbioses with the majority of land plants (9, 10) and have been recognized as a potentially important functional group involved in the sequestration of plant-derived C (911). Although recent progress has been made in our understanding of C fluxes from the plant to AMF, rhizosphere microorganisms, and the soil–food web, knowledge is still scarce with respect to the relative flow of C to specific biological groups in plant–soil systems (312). Such knowledge is critical to our understanding of carbon cycling in terrestrial ecosystems and to assessing soil carbon-storage potential in mitigating rising atmospheric CO2 conditions.

The application of 13C stable isotope probing (SIP) (1315) to track plant-derived C fluxes into microbial nucleic acids (13, 14) or other biomarkers (15) has opened up a window to understanding the flux of C through plant-associated microbial communities. To track the fate of plant-assimilated C to belowground microbial communities in response to elevated atmospheric CO2, we conducted a 13CO2 pulse-chase labeling experiment with Festuca rubra (mycorrhizal C-3 grass species) and Carex arenaria (nonmycorrhizal C-3 sedge) plants grown for 6 months under ambient (350 ppm) or elevated (700 ppm) CO2 conditions. Using RNA and neutral/phosphate lipid fatty acids (N/PLFA) SIP, community fingerprinting, and taxon-specific real-time PCR, we tracked active microbial populations in situ, focusing on total bacterial, total fungal, Pseudomonas spp., Burkholderia spp., Bacillus, actinomycetes, and protozoan communities. This allowed us to track, both specifically and temporally, the distribution of plant-assimilated carbon through soil-borne communities and to compare the responses of the different microbial groups to the C pathways under ambient versus elevated CO2 for the two contrasting plant species studied.

Results and Discussion

For F. rubra, AMF signature biomarkers (N/PLFA 16:1ω5) (12) showed strong 13C labeling within 1 day, followed by a significant decrease (P < 0.001), reaching a baseline 14 days after labeling (Fig. 1). NLFA 16:1ω5 enrichment was significantly increased at elevated CO2 from days 1 to 5 (Fig. 1A) (days × CO2: F7,14 = 920.14; P < 0.001), and PLFA 16:1ω5 enrichment at elevated CO2 was significantly higher during the entire incubation period (Fig. 1B) (days × CO2: F7,4 = 1,682.53; P < 0.001). Increased 13C labeling of NLFA suggested enhanced production of AMF storage organs, and increased 13C labeling of PLFA implied AMF growth stimulation (12). These data confirm earlier results (1216) on the dominant role of AMF in the flow of C from plants into the soil and show that a large proportion of photoassimilated 13C flows from the plant to the AMF, with only a minor fraction directly transferred to the bacterial community in the rhizosphere. We also observed a temporally synchronized pattern in the labeling of the rhizosphere fractions, with the major labeling of the rhizosphere bacteria coinciding with the gradual decrease of the 13C content of the AMF, suggesting that the majority of the 13C that is assimilated by the bacterial rhizosphere community is derived from AMF turnover.

Fig. 1.

Fig. 1.

13C enrichment in the AMF signatures 16:1ω5 determined in F. rubra rhizosphere soil for NFLA (circles; A) and PLFA (triangles; B) at ambient CO2 (blue) and elevated CO2 (red). The given AMF families, Acaulosporaceae and Glomeraceae, denote the affiliations of the 18S rRNA gene fragments recovered from the 13C-labeled RNA fractions by RNA-SIP at ambient CO2 and elevated CO2, respectively. Asterisks designate significant differences (P < 0.001) between CO2 concentrations. The values given are the average of biological replicates, and errors represent the standard error.

RNA-SIP revealed a complete shift in the dominant AMF species receiving plant-derived C under ambient versus elevated CO2 conditions (Fig. 1 and Fig. S1 B1 and B2). Based on PCR-denaturing gradient gel electrophoresis (DGGE) and cloning analyses, it was apparent that, at ambient atmospheric CO2 conditions, virtually all of the C entering the AMF community was channeled to a single AMF taxon affiliated to the Acaulosporaceae (A. lacunose-like), whereas, under elevated CO2, the dominant AMF incorporating 13C label was a population affiliated to the Glomeraceae (G. claroideum-like). These two AMF families are known to exploit different niches and exhibit disparate life-history strategies (17). Fungal-specific 18S rRNA gene clone libraries were also in accordance with a greater C allocation to AMF at elevated CO2, with 13C-labeled fractions taken 1 day after pulse labeling yielding ~84% AMF sequences at elevated CO2 compared with 60% AMF sequences at ambient atmospheric CO2 concentrations (P < 0.001) (Fig. S2).

Elevated CO2 conditions also significantly affected the spectrum of non-AMF fungi incorporating plant-derived C (P > 0.001), mirroring previously observed changes in fungal community structure in response to elevated CO2 (18). Differences included the presence of Trichoderma harzianum (Hypocreaceae), Eimeriidae-like sequences, and an unidentified fungal species at ambient CO2 6 days after labeling and the absence of Trichosporon porosum (Basidiomycota), Capnobotrytella sp., and Heteroconium chaetospira-like (Herpotrichiellaceae) sequences from the 13C-labeled fractions associated with plants grown at elevated CO2 (Fig. S2).

The gradual decrease of the 13C incorporation in AMF-specific biomarkers was accompanied by a significant increase (P < 0.001) in 13C incorporation by the bacterial community, commencing 4–5 days after labeling in the mycorrhizal plant (F. rubra) (Fig. 2A). The nonmycorrhizal plant, C. arenaria, showed a contrasting pattern, with a rapid incorporation of 13C by the bacterial community at the outset of the experiment that was directly followed by a decrease (Fig. 2A). PCR-cloning analyses based on 13C-labeled 16S rRNA fractions showed a significant effect of CO2 treatment (P < 0.001), in agreement with observed shifts in total bacterial community structure (18). Shifts in dominant C-incorporating bacteria were observed during the course of the experiment (Fig. 2B). For instance, at ambient CO2 for F. rubra, Proteobacteria represented 68%, 84%, 93%, 96%, and 73% of bacterial sequences 1, 3, 6, 14, and 21 days postlabeling, respectively (Fig. S2). The remaining sequences were mostly affiliated with Chloroflexi, Planctomycetes, and Verrucomicrobia, with the last only detected in the 13C fraction at day 21 (Fig. 2B and Fig. S2). At elevated CO2, all clones derived from 13C fractions were affiliated with Proteobacteria (Fig. 2B and Fig. S2). Within the Proteobacteria, significant differences (P < 0.001) were observed between the 13C-labeled bacterial clone libraries derived from the ambient versus elevated CO2 treatments at all sampling times. Differences included the presence of the Xanthobacteraceae-, Rhodospirillaceae-, and Enterobacteriaceae-like sequences only in ambient CO2 libraries and Geobacteraceae- and Bradyrhizobiaceae-like sequences only in the elevated CO2 libraries. Interestingly, within this last family, Bradyrhizobium japonicum-like sequences were detected. This species has been identified as mycorrhizal helper bacteria (MHB) of the AMF genus Glomus (10).

Fig. 2.

Fig. 2.

(A) 13C enrichment in the bacterial PLFAs at ambient CO2 (blue) and elevated CO2 (red) in the rhizosphere soil of F. rubra (circles) and C. arenaria (triangles). Asterisks (P < 0.001) designate significant differences between CO2 concentrations. The values given are the average of the different biological replicates, and errors represent the standard error. (B) Significantly different groups in clone libraries derived from F. rubra 13C-labeled 16S rRNA at ambient (blue) and elevated (red) CO2, harvested 21 days after labeling.

For both plant species, the peak of 13C incorporation into protozoan biomass, as judged by PLFA 20:4ω6 (19) (Fig. S3A), coincided with the highest 13C incorporation into the bacterial community, 5–6 days and 1 day postlabeling for F. rubra and C. arenaria, respectively (Fig. 2A), suggesting a coupling of bacterial and protozoan growth.

Typical rhizosphere bacterial groups (20) also showed a pronounced response to the CO2 treatment throughout the labeling experiment. At ambient CO2, Pseudomonas fluorescens was the main Pseudomonas species incorporating plant-derived C (Fig. 3). This species is also known to function as an MHB, enhancing AMF development (10). Under elevated CO2, the diversity of the active Pseudomonas community increased, with active populations of P. fluorescens, P. aeruginosa, P. trivialis, and P. putida being detected (Fig. 3A). Isolates of several of these species have been shown to have MHB, biocontrol, or pathogenic activities (10). Large shifts were also observed within dominant C-incorporating Burkholderiaceae species, with an opposite trend with respect to diversity. Populations affiliated with B. fungorum, B. cepacia, B. glathei, B. phenazinum, B. xenoforans, and an unidentified Burkholderia species (unknown 2, 4 degrading bacteria) were detected at elevated CO2, yet only the last three of these species were detected at ambient CO2 (Fig. 3B). To quantify C uptake by Pseudomonas ssp. and Burkholderia ssp., the cyclopropyl PLFAs cy17:0 and cy19:0 were used as biomarkers for Pseudomonas spp. and Burkholderia spp., respectively (21). As judged by these biomarkers, these genera became highly enriched in 13C for F. rubra at elevated CO2 (Fig. 3). This coincided with a lower biomass (Fig. S1 A1 and A2), suggesting a more rapid turnover at elevated CO2.

Fig. 3.

Fig. 3.

13C enrichment in the rhizosphere of F. rubra at ambient (blue) and elevated CO2 (red) in the PLFAs of (A) Pseudomonas- and (B) Burkholderia-specific signatures. For C. arenaria, Pseudomonas and Burkholderia showed the highest 13C enrichment on day 1 at elevated CO2 (Fig. S6). The active Pseudomonas and Burkholderia species identified by RNA-SIP, PCR-DGGE, and cloning are indicated along the time course at ambient and elevated CO2. The species active only at elevated CO2 are in red. Asterisks (P < 0.001) designate significant differences between CO2 concentrations. The values given are the average of the different biological replicates, and errors represent the standard error. Points without error bars mean that the error falls within the size of the symbol designating the point.

At ambient atmospheric conditions, mycorrhizal fungi have been estimated to receive up to 20% of the plant photosynthetates (22). In our study, the total incorporation of plant photosynthetates into mycorrhizal fungi was up to 30% of the total fixed 13C in F. rubra rhizosphere soil at ambient atmospheric CO2 and up to 40% at elevated CO2 (Fig. S4). Trehalose synthesis is thought to contribute to C drain through mycorrhizal fungi (10) and to play an important role in selecting specific bacterial communities in the mycorrhizosphere, specifically members of the genera Bradyrhizobia, Pseudomonas, and Burkholderia (10). We observed that trehalose concentrations in the mycorhizosphere increased by 4-fold under elevated atmospheric CO2 conditions [4.54 ppm (elevated CO2) vs. 1.21 ppm (ambient CO2)]. This suggests that AMF-associated trehalose release may be involved in inducing the observed shifts in active bacterial populations in the rhizosphere of F. rubra. As expected, no appreciable levels of trehalose were detected in the rhizosphere of the nonmycorrhizal plant, C. arenaria.

Bacillus spp. and actinomycetes have been recognized as typical bulk-soil inhabitants (20). Using the PLFA signatures i17:0 for Bacillus spp. (23) and 10Me-PLFAs for actinomycetes (24), we detected virtually no labeling for these groups throughout the experiment for both plant species studied (Fig. S3B). These results are consistent with previous findings that slow-growing soil microorganisms, such as actinomycetes, were unaffected by elevated CO2 (25) and are supported by the fact that we detected no Actinobacteria- or Firmicutes-like sequences in our 13C-based bacterial clone libraries.

In the controlled growth systems used in our experiment, we were able to follow carbon incorporation patterns to different components of the soil-borne microbial community, revealing major shifts in carbon-flow routes and active diversity after 6 months of exposure to elevated atmospheric CO2 conditions. It should be noted that these effects may have been enhanced by the large and discrete shift in CO2 conditions in our experiment, because it has been suggested that long-term gradual increases in CO2 may have more subtle effects on plant–soil systems (26). Also, it is not yet clear how results obtained under controlled laboratory conditions will compare with actual responses in the field, where environmental conditions are more variable.

Fig. 4 presents a conceptual model of C flow in mycorrhizal plant–soil systems and responses to elevated CO2 conditions, summarizing our results. For mycorrhizal plants, allocation of labile photosynthates belowground proceeds principally through the AMF, which rapidly receive plant-derived C. AMF subsequently release this C gradually to their associated microbes, highlighting the keystone position of AMF in the release of plant-derived C to the soil microbial community. Shifts in AMF populations in response to elevated CO2 conditions, therefore, result in marked changes in bacterial diversity and activity, stimulating the specific populations best capable of responding to the altered nutrient conditions of the (myco-)rhizosphere. Together, these responses may not only impact community structure and biodiversity of the microbial communities in the rhizosphere, but they may also affect carbon-turnover processes in soil and as such, the direction and magnitude of terrestrial ecosystem feedbacks in response to enhanced atmospheric CO2 levels.

Fig. 4.

Fig. 4.

Conceptual model of C flow in mycorrhizal plant–soil systems summarizing the observed effects of elevated CO2 atmospheric concentrations on soil communities. Brown arrows indicate increases and decreases in the respective community sizes, as determined by real-time PCR and lipid analyses from this study and ref. 18, as well as changes in community structure and carbon flow. Absence of an arrow indicates no significant change in the community size or structure. Red arrows indicate no effect of increased C availability because of elevated CO2 on the Actinomycetes spp. and Bacillus spp. communities. The mechanism and magnitude of the C flow along the soil–food web are indicated by the green arrows. Effects on nematodes are based on ref. 18.

Materials and Methods

Plant and Soil Study Systems.

Soil was collected from a river dune at Bergharen, The Netherlands (51°51'31.37″ N; 5°40'9.86″ E), where F. rubra and C. arenaria were the dominant grass and sedge species, respectively. The soil had a sandy texture, pH of 4.32, a low calcium carbonate content, and 1.97% organic C, and it showed 1.7 mg/kg fungal biomass (estimated from ergosterol data). Ten soil cores (5–15 cm depth) were collected from 4 × 4-m sampling plots covered by F. rubra and C. arenaria. Pots were filled with sieved soil (1 kg), planted with three 4-wk-old seedlings of F. rubra and C. arenaria, and allocated to four CO2 flow cabinets (a detailed description is in ref. 18). Two hundred pots per CO2 (350 ppm and 700 ppm) and plant species (F. rubra and C. arenaria) treatment were grown for 6 months (211 total growing days) before the described pulse-chase 13C-labeling experiment. F. rubra plants were found to be heavily colonized by AMF.

13CO2 Pulse Labeling.

13CO2 pulse labeling (99% at 13C–CO2; Cambridge Isotope Laboratories) was carried out at 350 ppm or 700 ppm for the corresponding CO2 treatments. A total of 150 F. rubra and 150 C. arenaria plants, plus 16 unplanted pots, were subjected to 13CO2 pulse labeling, one-half from the 350-ppm CO2 treatment and the other one-half from the 700-ppm CO2 treatment. The remaining pots, used for natural abundance and background 13C/12C measurements, were incubated in two separate CO2 flow cabinets (350 and 700 ppm) to ensure that there was no contamination with respired 13C-enriched CO2. The amount of 13CO2 added during labeling was sufficient to label plants to 2,545‰ δ13C at ambient CO2 levels and 2,892‰ δ13C at elevated CO2. Actual 13C content (excess 13C) in individual pools (shoots, roots, and soil) was also calculated as described in ref. 27 (Fig. S4). Total RNA was extracted using the method described by refs. 13 and 14. RNA was chosen, as opposed to DNA, because of the more responsive accumulation of heavy isotope label in this nucleic acid pool (13). The integrity of the RNA preparations was visualized by LabChip microfluidic technology and automated electrophoresis for RNA analysis using the Experion RNA StdSens analysis system (Experion; Bio-Rad Laboratories). Total RNA was quantified using both the Experion system and a NanoDrop ND-1000 Spectrophotometer (Bio-Rad Laboratories) and subsequently, was stored at −80 °C. 13C-enriched RNA was obtained by density-gradient centrifugation and analyzed as described in ref. 15. RNA samples from equilibrium density gradient fractions were reverse transcribed using Moloney Murine Leukemia Virus reverse transcriptase with low RNase H activity (200 u/μl, ReverseAid M-MuLVRT; Fermentas) using random hexaminer primers (0.2 μg/μL), according to the manufacturer's protocol (RevertAid First Strand cDNA Synthesis Kit; Fermentas). The resulting cDNA was then used for bacterial 16S rRNA and fungal 18S rRNA quantification by real-time PCR using the Absolute Real-time PCR SYBR-Green mix (AbGene) on a Rotor-Gene 3000 (Corbett Research). All mixes were made using a CAS-1200 pipetting robot (Corbett Research). Quantification of fungal and bacterial small subunit ribosomal RNA cDNA copies in rhizosphere soil was carried as described in ref. 18 (Fig. S5). All of the samples and all standards were assessed in at least two different runs to confirm the reproducibility of the quantification. PCR-DGGE analysis of bacterial, fungal, Pseudomonas sp., Burkholderia ssp., and AMF communities of reverse-transcribed density-resolved RNA fractions followed the procedures described in refs. 1831.

Cloning and Sequencing of Amplicons.

PCR products derived from RNA templates and excised DGGE bands were obtained using several group-specific primer combinations as described in refs. 18, 27, 29, and 30. PCR products were purified with the High-Pure PCR Purification Kit (Boehringer Mannheim) and cloned into the pGEM-T Easy Vector (Promega), according to the manufacturer's instructions. Plasmid extraction was performed using the Wizard Plus SV Miniprep DNA Purification Kit (Promega); 1,350 clones, with confirmed inserts of the expected size, were selected randomly for sequencing using the vector-encoded universal T7 primer from the bacterial-, fungal-, Pseudomonas-, Burkholderia-, and AMF-specific libraries (Macrogen). Three different colonies with the expected insert were sequenced per excised band to confirm reliability of sequences derived from DGGE bands. Sequences were aligned in the Bioedit Sequence Alignment Editor program (www.mbio.ncsu.edu/BioEdit/bioedit.html). To identify chimeric sequences in the clone libraries, all recovered sequences were checked using CHIMERA_CHECK 2.7 (Ribosomal Database Project II; http://rdp.cme.msu.edu). All full-length and cloned bacterial (~900 bp), Pseudomonas (~250 bp), and Burkholderia (~500 bp) 16S rRNA gene sequences and fungal (~600 bp) and AMF (~400 bp) 18S rRNA gene sequences were compared at the species level with sequences in public databases by using National Center for Biotechnology Information Blast (http://www.ncbi.nlm.nih.gov/blast) and the Ribosomal Database Project II Classifier (http://rdp.cme.msu.edu). To estimate the probability of observing differences in the frequency between libraries recovered from ambient and elevated CO2 treatments, the cloned sequences were compared with the classification and library-compare algorithm published in naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences (Ribosomal Database Project II).

Lipid Biomarker and Stable Isotope Analysis.

NLFAs and PLFAs were extracted and analyzed according to the protocol described in ref. 27. The N/PLFA 16:1ω5 was used as a signature for AMF biomass and 13C incorporation (12). The following fatty acids were used as biomarkers for bacterial biomass: i14:0, i15:0, a15:0, i16:0, 16:1ω7t, i17:1ω7, 10Me16:0, a17:1ω7, i17:0, a17:0, cy17:0, 10Me17:0, 18:1ω7c, 10Me18:0, and cy19:0 (24). PLFAs cy17:0 and cy19:0 were used as biomarkers for Pseudomonas spp. and Burkholderia spp., respectively (21). 10Me16:0, 10Me17:0, and 10Me18:0 were used for actinomycetes (24), and i17:0 was used for Bacillus (23). The signature 20:4ω6 was used to assess the 13C incorporation and biomass of the protozoan community (19).

Neutral/phosphate lipid fatty acids were analyzed using ANOVA (Statistica 7.0; StatSoft) according to a split-plot design, considering the two different CO2 treatments as a whole plot, with F. rubra and C. arenaria un/labeled, un/labeled unplanted soil, and the sampling times as subtreatments within each whole plot. The F statistic obtained by dividing the treatment mean square by the mean square for CO2 flow cabinets was nested within CO2 treatments.

Supplementary Material

Supporting Information

Acknowledgments

We thank Wim van der Putten for critical discussions and comments on the manuscript, Robert Griffiths and Bruce Thomson (Centre for Ecology and Hydrology) for introduction to the SIP technique, and Caroline Plugge, Gregor Disveld, Wiecher Smant, Sergio Pelaschiar, and Debora Lamonaca for technical and graphical support. We extend our gratitude to the Netherlands Research Council (Netherlands Organization for Scientific Research) for funding this study.

Footnotes

The authors declare no conflict of interest.

Data deposition: The sequences reported in this paper have been deposited in the GenBank database (accession nos. (GU123663–(GU123688).

This article is a PNAS Direct Submission.

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.0912421107/-/DCSupplemental.

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