Home Life Sciences Microorganism community composition analysis coupling with 15N tracer experiments reveals the nitrification rate and N2O emissions in low pH soils in Southern China
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Microorganism community composition analysis coupling with 15N tracer experiments reveals the nitrification rate and N2O emissions in low pH soils in Southern China

  • Feifei He , Haohao Yu , Dandan Liu EMAIL logo and Zheng Li EMAIL logo
Published/Copyright: February 15, 2022

Abstract

Nitrification in agricultural soil is an important process for food production. In acidic soil, nitrification is however also considered to be a major source of N2O production. The nitrification rate largely depends on the community composition of ammonia-oxidizing organisms. To obtain a view of the nitrification rates and N2O emission situations in low pH soils in Southern China and understand their relations with the microbial community composition, here we conducted 15N tracer experiments and microorganism community composition analysis using four acidic agricultural soil samples collected in Southern China. A single dominant community (relative abundance >68%) of the ammonia-oxidizing bacteria and ammonia-oxidizing archaea was observed in the soils with pH = 4.81–6.02. A low amount of NO 3 was produced from the nitrification in the strongly acidic soil (pH = 4.03), and the calculated nitrification rate in this soil was significantly lower than those of other soils with pH = 4.81–6.02. High N2O emissions but low 15N–N2O emissions were observed in the soil with pH = 4.03. Our results suggest that, under aerobic conditions, soil pH is an important factor affecting nitrification through modifying the microorganism composition.

1 Introduction

It is widely known that nitrogen is of utmost importance to plants. Therefore, routinely applied nitrogen-based fertilizers are necessary for maintaining agricultural production [1]. Nitrogen uptake in plants involves the biological oxidation of ammonium to nitrate via nitrite, in a process termed nitrification. In soil, there are two major categories of microorganisms responsible for this process, namely, autotrophic ammonia-oxidizing bacteria (AOB) [2,3,4] and ammonia-oxidizing archaea (AOA) [5,6]. With nitrite being the intermediate product, AOB carries out most ammonia oxidation in soil, which is the primary step in the oxidation process converting ammonia to nitrate and is considered the rate-limiting step of nitrification in most soil systems [7]. With regard to AOA, while they have also been reported to possess the ammonia monooxygenase α-subunit (amoA) gene, their ammonia oxidation pathway is less clear [8,9]. Furthermore, AOA’s genomes typically harbor a large number of amoA genes than AOB in many ecosystems [10,11]. Interestingly, Lu et al. [12] and Zhang et al. [13] reported that AOA might play a more important role in nitrification in acidic soils than AOB.

Nitrification is highly sensitive to soil pH. The suitable pH range for nitrification to take place in the soil is 5.5–10.0, with the optimal pH being around 8.5. In the 10 soils studied by Sahrawat [14], when the soil pH was less than 5.0, no nitrification was detected at all. In some rare cases, nitrification may also occur in soils with extremely low pH (e.g., 3.8), as reported by Tisdale and Nelson [15]. Nevertheless, strongly acidic soils generally have limited nitrification abilities. Although applying nitrogen-based fertilizers and/or manure can accelerate nitrification in acidic soil [16], such promoting effect is only moderate in highly acidic soil [17,18,19].

Nitrous oxide (N2O) is a greenhouse gas that contributes to the depletion of the stratospheric ozone layer. Agricultural and natural soils collectively give rise to approximately 50–70% of total global emissions [20]. Nitrification is one of the major processes that emit N2O in soil, especially under aerobic conditions. In addition, high N2O emissions stemming from denitrification were also observed in acidic soils under aerobic conditions [21].

The central hypothesis of this work was that the high nitrification rate in acidic soils is largely due to the specific dominant ammonia-oxidizing microbial communities. To verify this, we carried out microorganism community composition analysis coupling with 15N tracer experiments to reveal the effects of soil pH on the nitrification rate and N2O emissions and explored the underlying mechanism.

2 Materials and methods

2.1 Experimental soils

Soil samples were collected from four agricultural fields in Yunnan Province, Southern China (Table 1). Ten samples (0–0.2 m depth) were collected and pooled for each soil type. For soil property measurement, we followed the standard methods described in ref. [22]. Briefly, the soil samples were first air-dried and sieved through a 4 mm mesh. Subsequently, the soil was digested with potassium dichromate and concentrated sulfuric acid, and residual dichromate was titrated with FeSO4 (0.2 M) to determine the total soil organic carbon. The total soil N was estimated following the micro-Kjeldahl digestion–distillation procedure. Finally, the pH value was measured using a pH meter, following the procedure described in ref. [23].

Table 1

Information of sampling sites and soil properties

Soil I II III IV
Sampling site Wenshan Yuxi Kunming Wenshan
Coordinates N 24°16′609′′ N 24°17′511′′ N 24o49′778′′ N 24°03′271′′
E 104°51′788′′ E 102°22′505′′ E 102o50′279′′ E 105°04′910′′
Land use Tea garden Corn field Vegetable field Vegetable field
pH (water) 4.03 4.81 5.41 6.02
Total organic carbon (g C kg−1) 27.2 23.7 12.9 7.46
Total nitrogen (g N kg−1) 2.60 2.00 1.22 0.85
<2 µm clay particles (%) 75.0 71.0 74.3 23.6

2.2 DNA extraction and terminal restriction fragment length polymorphism (T-RFLP) analysis of the amoA genes

The same samples used for soil property measurement were used for DNA extraction. Immediately after the soil samples were collected and pooled, an appropriate amount of soil was quickly wrapped in aluminum foil, frozen in liquid nitrogen, and stored at −80°C. Genomic DNA was extracted from 0.5 g of frozen soil using the HiPure Soil DNA Mini Kit (Magen Bio Inc., Guangzhou, China) following the manufacturer’s instructions. The concentration and purity of the extracted DNA were assessed using the Biophotometer plus system (Eppendorf, Hamburg, Germany). For T-RFLP analysis, PCR amplifications were performed using the primer pairs Arch-amoAF/Arch-amoAR (for AOA) [24] and amoA1F/amoA2R (for AOB) [25]. Each forward primer was fluorescently labeled using 5-carboxyfluorescein. The thermocycling PCR conditions were 94°C for 2 min followed by 30 cycles of 94°C for 20 s, 57°C for 45 s, and 72°C for 45 s. The PCR products were electrophoresed on 1.0% (m/v) agarose gels and detected using an image analyzer (UV/white transilluminator). Subsequently, the PCR products were gel-purified using the Agarose Gel Extraction Kit (Tiangen Inc., Beijing, China) and digested using the restriction enzyme TaqI (Takara Bio Inc., Shiga, Japan). The mixture (17 µL of the purified PCR products, 2 µL of buffer, and 1 µL of 10 U/µL TaqI) was incubated at 37°C for 4 h. The terminal restriction fragments (T-RFs) of AOA and AOB were fluorescently labeled by Sangon Inc. (Shanghai, China). The relative abundance of each T-RF was determined by calculating the ratio of the area of each fluorescence peak to the total area.

2.3 15N-tracer experiments

The nitrification rate was estimated according to the final pool size of NO 3 that was derived from labeled NH 4 + . This estimated nitrification rate may be slightly lower than the actual rate as the removal of NO 3 as denitrification was not taken into account [26]. Briefly, the ammonium pool was labeled using (15NH4)2SO4 (10.13 atom% excess). Air-dried soils were adjusted to 45% of the soil’s water-holding capacity and preincubated aerobically at 25°C in the dark for 7 days before use. For each soil sample, 18 Erlenmeyer flasks (250 mL) each containing 80 g of the soil (oven-dried) were prepared. About 1 mL of (15NH4)2SO4 solution was added to each flask at a concentration of 50 mg NH4–N kg−1. The soil-(15NH4)2SO4 mixture was then adjusted to 60% of its water holding capacity and incubated for 7 days at 25°C. The soils (three replications) were extracted at 2 h and 1, 2, 3, 5, and 7 days after the addition of (15NH4)2SO4. The concentrations and isotopic compositions of both NH 4 + N and NO 3 N were measured by using a continuous flow analyzer (AA3, SEAL, Germany) and a PDZ Europa 20-22 isotope ratio mass spectrometer (IRMS, SerCon, Crewe, UK), respectively. Gas samples were collected at 2 h and 1, 2, 3, 5, and 7 days after adding (15NH4)2SO4 to the soil. Gas samples (40 mL) were collected from each Erlenmeyer flask and then injected into two pre-evacuated vials (18.5 mL), one for determining the concentration with an Agilent 7890 gas chromatogram and the other for measuring the isotopic composition of N2O.

2.4 Calculation and statistical analyses

Nitrification rates were calculated as described by Mørkved et al. [26]:

c = [ ( NO 3 ) t ( NO 3 ) 0 ] / [ ( NH 4 + ) ( NO 3 ) 0 ] ,

where c is the relative share of NO 3 N (originating from NH 4 + N ) at the end of the experiment; ( ⁎NO 3 ) t is the atom% 15N in NO 3 at the end of the experiment; ( NO 3 ) 0 is the atom% 15N in NO 3 at the start of the experiment; and ( NH 4 + ) is the average atom% 15N in NH 4 + during incubation. To estimate the nitrification rate, c was multiplied by the NO 3 concentration at the end of incubation and divided by the incubation time.

The modeled nitrification rates were calculated using the following equation (on the basis of the changes in the 15 NO 3 content along with incubation):

N NO 3 = N 0 + k 0 t ,

where N NO3 is the 15 NO 3 content at incubation time t, N 0 is the 15 NO 3 content at the start of the experiment, and k 0 is the rate constant of the zero-order reaction.

Multiple comparisons were made using one-way ANOVA with Duncan’s post-hoc test. All analyses were conducted using the SPSS 25.0 package (SPSS Inc., Chicago, USA), and p < 0.05 was considered to be statistically significant.

3 Results

3.1 Soil properties

Soil I (pH = 4.03) contained a total organic carbon content of 27.2 g C kg−1 and a total nitrogen content of 2.60 g N kg−1. The soil was sampled in late spring from the plough layer of a field where tea plants were grown for ∼20 years. Soil II (pH = 4.81), obtained from a corn–corn rotation field, contained a total organic carbon content of 23.7 g C kg−1 and a total nitrogen content of 2.00 g N kg−1. Soil III (pH = 5.41) and soil IV (pH = 6.02) were obtained from a vegetable planting field, and their total organic carbon and total nitrogen contents were estimated as 12.9 and 7.46 g C kg−1, and 1.22 and 0.85 g N kg−1, respectively (Table 1).

3.2 T-RFLP analysis of AOA and AOB

As shown by the AOB T-RFLP profiles, the 296-bp T-RF was the most dominant AOB T-RF in soils II and III and accounted for 73–77% of the total AOB T-RFs, while it showed low relative abundance (12–27%) in soils I and IV (Figure 1). Meanwhile, the 15-bp T-RF in soil I and the 196-bp T-RF in soil IV were the dominant AOB T-RFs and accounted for 38 and 40% of the total AOB T-RFs, respectively (Figure 1). In soils II, III, and IV, only two (16- and 296-bp), three (13-, 15-, and 296-bp) and four (15-, 17-, 196-, and 296-bp) T-RFs were detected, respectively, whereas as many as eight T-RFs were detected in soil I (Figure 1).

Figure 1 
                  Relative abundance of AOB amoA T-RFs in the studied soils at the end of the incubation. For soil information, see Table 1.
Figure 1

Relative abundance of AOB amoA T-RFs in the studied soils at the end of the incubation. For soil information, see Table 1.

As shown in Figure 2, 18 AOA T-RFs were detected in the studied soils. Such a large number suggested that the AOA communities had relatively higher diversity than the AOB communities. The 70-bp T-RF was the most dominant AOA T-RF and accounted for 68% of the total AOA T-RFs. Notably, this T-RF was only detected in soils I and IV.

Figure 2 
                  Relative abundance of AOA amoA T-RFs in the studied soils at end of the incubation. For soil information, see Table 1.
Figure 2

Relative abundance of AOA amoA T-RFs in the studied soils at end of the incubation. For soil information, see Table 1.

3.3 Soil inorganic N

The ammonium concentration of soil I increased rapidly after being incubated with (15NH4)2SO4, and following 1 day of incubation, the ammonium concentration in soil I was constantly higher than those in soils II–IV (Figure 3a). NH 4 + N concentration showed no change in soil I during the following days but significantly decreased in soils II–IV, especially at the end of the incubation. By contrast, N 15 H 4 + N concentration rapidly increased in the four soils at the early time points after being incubated with (15NH4)2SO4 and then significantly decreased in soils II–IV. Compared with other soil samples, soil I had the highest average N 15 H 4 + N concentration and it did not significantly fluctuate during the incubation period. After 7 days of incubation, approximately 35% of the added (15NH4)2SO4 was detected in the NH4 + pool in soil I, whereas less than 16% was detected in soils II–IV (Figure 4a). With regard to the NO 3 N concentration, the highest average value was found in soil II during the incubation period (Figure 3b). The NO 3 N concentration increased in all soil samples after being incubated with (15NH4)2SO4, with the increase being more significant in soil II but only moderate in soil I (Figure 3b). The fact that N 15 O 3 concentration significantly increased along with (15NH4)2SO4 incubation time in soils II–IV suggested that the NO 3 was indeed produced from nitrification in the studied soils (Figure 4b). Interestingly, the NO 3 concentrations in soil I were significantly lower than those in soils II–IV during the incubation period, indicating that the oxidation of NH 4 + to NO 3 was inhibited in soil I (Figure 4b).

Figure 3 
                  Dynamics of soil 
                        
                           
                           
                              
                                 
                                    NH
                                 
                                 
                                    4
                                 
                                 
                                    +
                                 
                              
                              −
                              N
                           
                           {\text{NH}}_{4}^{+}-\text{N}
                        
                      (a) and 
                        
                           
                           
                              
                                 
                                    NO
                                 
                                 
                                    3
                                 
                                 
                                    –
                                 
                              
                              –
                              N
                           
                           {\text{NO}}_{3}^{\mbox{--}}\text{&#x2013;}\text{N}
                        
                      (b) content after adding (15NH4)2SO4. The error bars represent SEM. n = 3 replicates. For soil information, see Table 1.
Figure 3

Dynamics of soil NH 4 + N (a) and NO 3 N (b) content after adding (15NH4)2SO4. The error bars represent SEM. n = 3 replicates. For soil information, see Table 1.

Figure 4 
                  Dynamics of soil 
                        
                           
                           
                              
                                 N
                                 
                                 
                                 
                                 
                                 
                                    15
                                 
                              
                              
                                 
                                    H
                                 
                                 
                                    4
                                 
                                 
                                    +
                                 
                              
                              −
                              N
                           
                           {}^{15}\text{N}{\text{H}}_{4}^{+}-\text{N}
                        
                      (a) and 
                        
                           
                           
                              
                                 N
                                 
                                 
                                 
                                 
                                 
                                    15
                                 
                              
                              
                                 
                                    O
                                 
                                 
                                    3
                                 
                                 
                                    –
                                 
                              
                              –
                              N
                           
                           {}^{15}\text{N}{\text{O}}_{3}^{\mbox{--}}\text{&#x2013;}\text{N}
                        
                      (b) content after adding of (15NH4)2SO4. The error bars represent SEM. n = 3 replicates. For soil information, see Table 1.
Figure 4

Dynamics of soil N 15 H 4 + N (a) and N 15 O 3 N (b) content after adding of (15NH4)2SO4. The error bars represent SEM. n = 3 replicates. For soil information, see Table 1.

In the (15NH4)2SO4-labeled samples, the % 15N excess of the NH 4 + pool gradually decreased over time in soils II–IV because of dilution by the mineralization of native soil organic N (Figure 5a). By contrast, due to the introduction of NO 3 derived from labeled NH 4 + via nitrification, the % 15N excess of the NO 3 pool gradually increased in soils II–IV during the following days after being incubated with (15NH4)2SO4 for 2 h. In soil I, the % 15N excess of the NO 3 pool remained constant in soil I during the entire incubation period; approximately 53–65% of 15N was detected in the NH 4 + pool after 7 days of incubation in soils II–IV, whereas only 22% was detected in soil I (Figure 5).

Figure 5 
                  Dynamics of soil 
                        
                           
                           
                              
                                 N
                                 
                                 
                                 
                                 
                                 
                                    15
                                 
                              
                              
                                 
                                    H
                                 
                                 
                                    4
                                 
                                 
                                    +
                                 
                              
                              −
                              N
                           
                           {}^{15}\text{N}{\text{H}}_{4}^{+}-\text{N}
                        
                      atom% excess (a) and 
                        
                           
                           
                              
                                 N
                                 
                                 
                                 
                                 
                                 
                                    15
                                 
                              
                              
                                 
                                    O
                                 
                                 
                                    3
                                 
                                 
                                    –
                                 
                              
                              –
                              N
                           
                           {}^{15}\text{N}{\text{O}}_{3}^{\text{&#x2013;}}\text{&#x2013;}\text{N}
                        
                      atom% excess (b) after adding (15NH4)2SO4. The error bars represent SEM. n = 3 replicates. For soil information, see Table 1.
Figure 5

Dynamics of soil N 15 H 4 + N atom% excess (a) and N 15 O 3 N atom% excess (b) after adding (15NH4)2SO4. The error bars represent SEM. n = 3 replicates. For soil information, see Table 1.

3.4 Nitrification rates

The lowest nitrification rate (0.52 mg N kg−1 day−1) was observed in soil I, yet the nitrification rate did not increase along with the pH gradient in soils II–IV (Table 2). Among the tested soil samples, soil III (pH = 5.41) displayed the highest nitrification rate. These results suggested that nitrification was significantly suppressed in soil I. As expected, the modeled nitrification rates were lower than the calculated nitrification rates, and a significant correlation was observed (y = −0.214 + 0.747x, r 2 = 0.996, p < 0.01).

Table 2

Nitrification rates of the studied soils

Soil Calculated nitrification* (mg N kg−1 day−1) Modeled nitrification** (mg N kg−1 day−1)
I 0.52 ± 0.03d 0.11 ± 0.02c
II 7.01 ± 0.10b 4.81 ± 0.06b
III 11.6 ± 0.57a 8.44 ± 0.10a
IV 6.05 ± 0.34c 4.62 ± 0.06b

Different letters denote significant differences (p < 0.05) among the studied soils. *Calculated according to the equation described by Mørkved et al. [26]. **Calculated following the zero-order equation.

3.5 N2O emissions

The fluxes of N2O in the studied soils are shown in Figure 6a. The N2O fluxes in soils I and II remained high during the incubation period and peaked on day 5. Between days 5 and 7, the N2O flux in soil I only slightly decreased while the flux in soil II dropped dramatically. The average N2O fluxes are shown in Table 3. Two highest average N2O fluxes were found in soil II (1.34 µg N kg−1 h−1) and soil I (1.11 µg N kg−1 h−1). The flux of 15N2O was higher in soil II than in soils I, III, and IV during the incubation period (Figure 6b). The 15N–N2O flux only slightly increased in soil I after the addition of (15NH4)2SO4, whereas the increases were significant in soils II–IV, suggesting that the oxidation of NH 4 + to NO 3 was inhibited (Figure 6b).

Figure 6 
                  Dynamics of soil N2O emissions (a) and 15N–N2O emissions (b) after adding (15NH4)2SO4. The error bars represent SEM. n = 3 replicates. For soil information, see Table 1.
Figure 6

Dynamics of soil N2O emissions (a) and 15N–N2O emissions (b) after adding (15NH4)2SO4. The error bars represent SEM. n = 3 replicates. For soil information, see Table 1.

Table 3

Average N2O flux and cumulative emissions from 2 h to 7 days after adding (15NH4)2SO4

Soil N2O flux (µg N kg−1 h−1) 15N2O flux (ng N kg−1 h−1) N2O emission (µg N kg−1) 15N2O emission (µg N kg−1)
I 1.11 ± 0.18ab 41.1 ± 2.48d 195 ± 30.3ab 6.19 ± 0.56d
II 1.34 ± 0.15a 351 ± 7.92a 255 ± 34.7a 66.0 ± 1.69a
III 0.72 ± 0.06b 271 ± 1.53b 138 ± 8.82b 50.9 ± 0.80b
IV 0.74 ± 0.12b 197 ± 5.29c 159 ± 39.5ab 41.1 ± 1.73c

Different letters denote significant differences (p < 0.05) among the studied soils.

During the 7 day (15NH4)2SO4 incubation period, the total N2O emissions in soils I and II were significantly higher (p < 0.05) compared with those of soils III and IV (Table 3). This result indicates that a low pH may negatively correlate with N2O emissions in soil. The 15N–N2O emission in soil I significantly decreased along with the incubation period, which is likely because the contribution of autotrophic nitrification to N2O production was suppressed in strongly acidic soil.

In the (15NH4)2SO4-labeled samples, the % 15N excess of N2O gradually increased over time in soils II–IV because of the nitrification and/or denitrification of the labeled NH 4 + , but it remained constant in soil I during the entire incubation period (Figure 7). These results further indicate that N2O production caused by autotrophic nitrification could be inhibited in strongly acidic soil.

Figure 7 
                  Dynamics of soil 15N–N2O atom% excess after adding (15NH4)2SO4. The error bars represent SEM. n = 3 replicates. For soil information, see Table 1.
Figure 7

Dynamics of soil 15N–N2O atom% excess after adding (15NH4)2SO4. The error bars represent SEM. n = 3 replicates. For soil information, see Table 1.

4 Discussion

Soil pH is a key factor that controls the nitrification rate, and low pH conditions suppress nitrification [27,28,29]. In the present study, the nitrification rate in soil I (pH 4.03) was 91–95% lower than those in soils II–IV (pH 4.81–6.02). Given that the N 15 H 4 + content in soil I was high during the entire incubation period, it was likely that the pH condition rather NH 4 + suppressed its nitrification activity. Our results are in agreement with the findings by Zhao et al. that high NH 4 + N concentrations do not inhibit nitrification rates in acidic soils [28]. The preferred form of ammonium for ammonium-oxidizing organisms is NH3 [29]. When the pH is low, a large amount of NH3 is ionized to form NH 4 + , which is considered to be the major reason for the reduced activity of ammonia oxidation at low pH conditions [30,31]. We hypothesize that the nitrification rates are strongly dependent on the soil pH and that it is presumably through controlling the NH3 concentration, although the direct relation between pH and ammonia concentration was not investigated in this study.

In addition to substrate limitation, our finding that the most acidic soil (soil I, pH = 4.03) displayed the lowest nitrification rate might also be explained by the low abundance and/or activity of AOA [13,32,33]. qPCR quantification of AOB and AOA showed no significant difference between these two in terms of the total microbial amount in the studied soils (data not shown). However, our T-RFLP results revealed compositional variations of the AOB and AOA communities in the four studied soils. The AOB communities were relatively less diversified compared with the AOA communities in this study (Figures 1 and 2). The T-RFLP profile showed that only one AOB T-RF (296 bp) remained dominant in soils II and III at the end of the incubation period. No dominant AOB T-RF was detected in soils I and IV. By contrast, the AOA communities featured a dominant 70-bp T-RF, except for the community in soil IV. Our results suggest that dominant communities, rather than community abundance, may exert a major effect on nitrification. In our study, a single dominant T-RF of AOB and/or AOA may contribute to the higher nitrification rates observed in soils II–IV. It is worth noting that, in addition to soil pH, the field management practice is another factor influencing microbial composition. Notably, it has been reported that AOA and AOB could respond differently to management practices [23]. In the four soil samples we studied, only soil I was from a perennial system, which was less fertilized than other annual cropping systems (soils II–IV). Thus, nitrogen input differences may also contribute to the varied niche differentiation between AOA and AOB in the four soils.

Our N2O emission results suggest that soil N2O emissions are enhanced under low pH conditions. This is in line with the findings of Van den Heuvel et al. [34]. In their study, only 25% of the soil spots were of low pH (<5), but these soil spots gave rise to 77% of the total N2O emission. In the present study, the low pH value in soil I resulted in both higher N2O flux and emission. However, soil I’s flux and emission of 15N2O were lower than those of soils II–IV after adding (15NH4)2SO4. Hence, the N2O emission from strongly acidic soil may mainly be produced by denitrification, which is also an important process in a low pH environment. A previous 15N tracer experiment unraveled that, under aerobic conditions, denitrification in acidic soils could contribute to N2O production more markedly in comparison with autotrophic nitrification and heterotrophic nitrification [35]. Furthermore, an analysis based on 107 measurements in 26 publications also showed that in soils with a pH value lower than ∼4.4 and under aerobic conditions, denitrification is responsible for >50% of the soil N2O production [36]. From a chemical point of view, the N2O reductase produced during denitrification is sensitive to soil pH, and potential denitrifying enzyme activity is the highest in alkaline soil and the lowest in acidic soil [37]. Moreover, under low pH conditions, the reduction of N2O to N2 could be halted until NO 3 is depleted, resulting in N2O accumulation [34,38]. In addition to denitrification, heterotrophic nitrification may also be a significant source of N2O emission under low pH and aerobic conditions [39,40].

In summary, our results suggest that the nitrification rate and N2O emission are largely affected by soil pH by modifying the composition of AOB and/or AOA. Future work is needed to further characterize the AOB and AOA reported here and investigate if the high N2O emission observed in the acidic soil under aerobic conditions was mainly caused by denitrification.

  1. Funding information: This work was supported by the National Natural Science Foundation of China (NSFC) (project numbers: 31201688 and 41661071).

  2. Author contributions: F.H., D.L., and Z.L. conceived and designed the experiments. F.H. and H.Y. performed the experiments. F.H. and Z.L. wrote the manuscript. All authors read and approved the final manuscript.

  3. Conflict of interest: The authors state no conflict of interest.

  4. Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding authors on reasonable request.

References

[1] Beeckman F, Motte H, Beeckman T. Nitrification in agricultural soils: impact, actors and mitigation. Curr Opin Biotechnol. 2018;50:166–73.10.1016/j.copbio.2018.01.014Search in Google Scholar PubMed

[2] Jia Z, Conrad R. Bacteria rather than archaea dominate microbial ammonia oxidation in an agricultural soil. Environ Microbiol. 2009;11(7):1658–71.10.1111/j.1462-2920.2009.01891.xSearch in Google Scholar PubMed

[3] Xia W, Zhang C, Zeng X, Feng Y, Weng J, Lin X, et al. Autotrophic growth of nitrifying community in an agricultural soil. ISME J. 2011;5(7):1226–36.10.1038/ismej.2011.5Search in Google Scholar PubMed PubMed Central

[4] Lin Y, Hu H-W, Ye G, Fan J, Ding W, He Z-Y, et al. Ammonia-oxidizing bacteria play an important role in nitrification of acidic soils: a meta-analysis. Geoderma. 2021;404:115395.10.1016/j.geoderma.2021.115395Search in Google Scholar

[5] Venter JC, Remington K, Heidelberg JF, Halpern AL, Rusch D, Eisen JA, et al. Environmental genome shotgun sequencing of the Sargasso Sea. Science. 2004;304(5667):66–74.10.1126/science.1093857Search in Google Scholar PubMed

[6] Könneke M, Bernhard AE, de la Torre JR, Walker CB, Waterbury JB, Stahl DA. Isolation of an autotrophic ammonia-oxidizing marine archaeon. Nature. 2005;437(7058):543–6.10.1038/nature03911Search in Google Scholar PubMed

[7] Verhamme DT, Prosser JI, Nicol GW. Ammonia concentration determines differential growth of ammonia-oxidising archaea and bacteria in soil microcosms. ISME J. 2011;5(6):1067–71.10.1038/ismej.2010.191Search in Google Scholar PubMed PubMed Central

[8] Kerou M, Offre P, Valledor L, Abby SS, Melcher M, Nagler M, et al. Proteomics and comparative genomics of Nitrososphaera viennensis reveal the core genome and adaptations of archaeal ammonia oxidizers. Proc Natl Acad Sci U S A. 2016;113(49):7937–46.10.1073/pnas.1601212113Search in Google Scholar PubMed PubMed Central

[9] Kozlowski JA, Stieglmeier M, Schleper C, Klotz MG, Stein LY. Pathways and key intermediates required for obligate aerobic ammonia-dependent chemolithotrophy in bacteria and Thaumarchaeota. ISME J. 2016;10(8):1836–45.10.1038/ismej.2016.2Search in Google Scholar PubMed PubMed Central

[10] Qin H, Yuan H, Zhang H, Zhu Y, Yin C, Tan Z, et al. Ammonia-oxidizing archaea are more important than ammonia-oxidizing bacteria in nitrification and NO3−-N loss in acidic soil of sloped land. Biol Fert Soils. 2013;49(6):767–76.10.1007/s00374-012-0767-1Search in Google Scholar

[11] Coca-Salazar A, Richaume A, Florio A, Carnol M. Response of ammonia-oxidizing bacteria and archaea abundance and activity to land use changes in agricultural systems of the Central Andes. Eur J Soil Biol. 2021;102:103263.10.1016/j.ejsobi.2020.103263Search in Google Scholar

[12] Lu L, Han W, Zhang J, Wu YC, Wang B, Lin X, et al. Nitrification of archaeal ammonia oxidizers in acid soils is supported by hydrolysis of urea. ISME J. 2012;6(10):1978–84.10.1038/ismej.2012.45Search in Google Scholar PubMed PubMed Central

[13] Zhang L-M, Hu H-W, Shen J-P, He J-Z. Ammonia-oxidizing archaea have more important role than ammonia-oxidizing bacteria in ammonia oxidation of strongly acidic soils. ISME J. 2012;6(5):1032–45.10.1038/ismej.2011.168Search in Google Scholar PubMed PubMed Central

[14] Sahrawat KL. Nitrification in some tropical soils. Plant Soil. 1982;65:281–6.10.1007/BF02374659Search in Google Scholar

[15] Tisdale SL, Nelson WL. Soil Fertility and Fertilizers. 2nd edn. New York: The Macmillan Co.; 1970.Search in Google Scholar

[16] Li X, Han S, Wan W, Zheng L, Chen W, Huang Q. Manure fertilizes alter the nitrite oxidizer and comammox community composition and increase nitrification rates. Soil Till Res. 2020;204:104701.10.1016/j.still.2020.104701Search in Google Scholar

[17] Aciego Pietri JC, Brookes PC. Nitrogen mineralisation along a pH gradient of a silty loam UK soil. Soil Biol Biochem. 2008;40(1):797–802.10.1016/j.soilbio.2007.10.014Search in Google Scholar

[18] Xiao K, Yu L, Xu J, Brooks PC. pH, nitrogen mineralization, and KCl-extractable aluminum as affected by initial soil pH and rate of vetch residue application: results from a laboratory study. J Soil Sediments. 2014;14(1):1513–25.10.1007/s11368-014-0909-1Search in Google Scholar

[19] Wang Z, Meng Y, Zhu-Barker X, He X, Horwath WR, Luo H, et al. Responses of nitrification and ammonia oxidizers to a range of background and adjusted pH in purple soils. Geoderma. 2019;334:9–14.10.1016/j.geoderma.2018.07.038Search in Google Scholar

[20] Syakila A, Kroeze C. The global nitrogen budget revisited. Greenh Gas Meas Manag. 2011;1(1):17–26.10.3763/ghgmm.2010.0007Search in Google Scholar

[21] Li Z, Xia S, Zhang R, Zhang R, Chen F, Liu Y. N2O emissions and product ratios of nitrification and denitrification are altered by K fertilizer in acidic agricultural soils. Environ Pollut. 2020;265:115065.10.1016/j.envpol.2020.115065Search in Google Scholar PubMed

[22] Jackson ML. Soil chemical analysis. Prentice Hall, Englewood Cliffs, New Jersey. In: Pau EA, Ladd JN, editors. Soil biochemistry. Vol. 5. New York: Marcel Dekkar; 1958. p. 415–71.Search in Google Scholar

[23] Liang D, Ouyang Y, Tiemann L, Robertson GP. Niche differentiation of bacterial versus archaeal soil nitrifiers induced by ammonium inhibition along a management gradient. Front Microbiol. 2020;11:568588.10.3389/fmicb.2020.568588Search in Google Scholar

[24] Francis CA, Roberts KJ, Beman JM, Santoro AE, Oakley BB. Ubiquity and diversity of ammonia-oxidizing archaea in water columns and sediments of the ocean. Proc Natl Acad Sci U S A. 2005;102(41):14683–8.10.1073/pnas.0506625102Search in Google Scholar

[25] Rotthauwe JH, Witzel KP, Liesack W. The ammonia monooxygenase structural gene amoA as a functional marker: molecular fine-scale analysis of natural ammonia-oxidizing populations. Appl Environ Microbiol. 1997;63(12):4704–12.10.1128/aem.63.12.4704-4712.1997Search in Google Scholar

[26] Mørkved PT, Dörschb P, Henriksen TM, Bakken LR. N2O emissions and product ratios of nitrification and denitrification as affected by freezing and thawing. Soil Biol Biochem. 2006;38:3411–20.10.1016/j.soilbio.2006.05.015Search in Google Scholar

[27] DeForest JL, Otuya RK. Soil nitrification increases with elevated phosphorus or soil pH in an acidic mixed mesophytic deciduous forest. Soil Biol Biochem. 2020;142:107716.10.1016/j.soilbio.2020.107716Search in Google Scholar

[28] Zhao W, Cai Z-C, Xu Z-H. Does ammonium-based N addition influence nitrification and acidification in humid subtropical soils of China? Plant Soil. 2007;297:213–21.10.1007/s11104-007-9334-1Search in Google Scholar

[29] Jiang QQ, Bakken LR. Comparison of Nitrosospira strains isolated from terrestrial environments. FEMS Microbiol Ecol. 1999;30(2):171–86.10.1111/j.1574-6941.1999.tb00646.xSearch in Google Scholar

[30] Burton SAQ, Prosser JI. Autotrophic ammonia oxidation at low pH through urea hydrolysis. Appl Environ Microbiol. 2001;67(7):2952–7.10.1128/AEM.67.7.2952-2957.2001Search in Google Scholar

[31] de Boer W, Kowalchuk GA. Nitrification in acid soils: microorganisms and mechanisms. Soil Biol Biochem. 2001;33(7–8):853–66.10.1016/S0038-0717(00)00247-9Search in Google Scholar

[32] Yao H, Gao Y, Nicol G, Campbell CD, Colin D, Prosser JI, et al. Links between ammonia oxidizer community structure, abundance, and nitrification potential in acidic soils. Appl Environ Microbiol. 2011;77(13):4618–25.10.1128/AEM.00136-11Search in Google Scholar PubMed PubMed Central

[33] Chen J, Xue QZ, Xue Z, Jia ZH, Shen RF. High pH-enhanced soil nitrification was associated with ammonia-oxidizing bacteria rather than archaea in acidic soils. Appl Environ Microbiol. 2014;85(1):21–9.10.1016/j.apsoil.2014.09.003Search in Google Scholar

[34] Van den Heuvel RN, Bakker SE, Jetten MSM, Hefting MM. Decreased N2O reduction by low soil pH causes high emissions in a riparian ecosystem. Geobiology. 2011;9:294–300.10.1111/j.1472-4669.2011.00276.xSearch in Google Scholar PubMed

[35] Zhu T, Zhang J, Cai Z. The contribution of nitrogen transformation processes to total N2O emissions from soils used for intensive vegetable cultivation. Plant Soil. 2011;343(1–2):313–27.10.1007/s11104-011-0720-3Search in Google Scholar

[36] Cheng Y, Zhang J-B, Wang J, Cai Z-C, Wang S-Q. Soil pH is a good predictor of the dominating N2O production processes under aerobic conditions. J Plant Nutr Soil Sci. 2015;178(3):1–4.10.1002/jpln.201400577Search in Google Scholar

[37] Čuhel J, Šimek M. Proximal and distal control by pH of denitrification rate in a pasture soil. Agric Ecosyst Environ. 2011;141(1–2):230–3.10.1016/j.agee.2011.02.016Search in Google Scholar

[38] Tokuda S, Hayatsu M. Nitrous oxide production from strongly acid tea field soils. Soil Sci Plant Nutr. 2000;46(4):835–44.10.1080/00380768.2000.10409149Search in Google Scholar

[39] Zhang Y, Zhao J, Huang X, Cheng Y, Cai Z, Zhang J, et al. Microbial pathways account for the pH effect on soil N2O production. Eur J Soil Biol. 2021;106:103337.10.1016/j.ejsobi.2021.103337Search in Google Scholar

[40] Zhang J, Cai Z, Zhu T. N2O production pathways in the subtropical acid forest soils in China. Environ Res. 2011;111:1643–9.10.1016/j.envres.2011.04.005Search in Google Scholar PubMed

Received: 2021-08-12
Revised: 2021-11-13
Accepted: 2021-12-10
Published Online: 2022-02-15

© 2022 Feifei He et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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