• 微生物组学专题 • 上一篇
岳源怡1(
), 黄世雄1, 刘坤平2,3, 冯书珍1,2,3(
)
收稿日期:2025-12-30
出版日期:2026-05-08
通讯作者:
冯书珍,女,博士研究生,教授,研究方向 :土壤分子生态学;E-mail: fengshuzhen@gxust.edu.cn作者简介:岳源怡,女,硕士研究生,研究方向 :生物统计;E-mail: 15238616107@163.com
基金资助:
YUE Yuan-yi1(
), HUANG Shi-xiong1, LIU Kun-ping2,3, FENG Shu-zhen1,2,3(
)
Received:2025-12-30
Published:2026-05-08
摘要:
目的 针对喀斯特旱地土壤硫素缺乏、硫循环功能微生物群落脆弱等问题,研究有机-无机配施对硫循环功能微生物群落结构、核心功能基因及土壤理化性质的影响,为区域土壤硫循环功能维持与合理施肥提供理论依据。 方法 基于2009-2024年长期田间定位试验,设置CK(不施肥)、CF(全量化学施肥)、30% MF(30%农家肥+70%化肥)和60% MF(60%农家肥+ 40%化肥)4个处理,结合宏基因组测序与土壤理化分析,比较不同施肥模式下硫循环微生物群落结构、功能基因表达及其与土壤理化性质的关联特征。 结果 60% MF处理显著增加土壤有机碳、全氮、碱解氮含量;30% MF处理对硫素积累最为显著。主成分分析表明,有机肥添加是驱动硫循环功能微生物群落差异的关键因素,CK与CF集中在负轴,有机-无机配施处理分布于正轴。假单胞菌门(硫氧化优势类群)和放线菌门(硫酸盐还原优势类群)为优势功能菌门;30% MF处理显著提高无机与有机硫转化关联基因(ssuA)、有机硫转化相关基因(dmdA)、硫还原相关基因(ttrA)丰度。基于门水平微生物群落结构、硫循环功能基因及代谢途径的相关性分析表明,磷素是影响喀斯特旱地硫循环功能基因变化的关键因子。 结论 30%有机配施利于土壤硫素积累,60%有机配施更具快速培肥优势,应重视磷素管理以维持硫循环功能,为喀斯特旱地差异化施肥提供依据。
岳源怡, 黄世雄, 刘坤平, 冯书珍. 有机-无机配施对喀斯特旱地土壤硫循环功能微生物群落的影响[J]. 生物技术通报, doi: 10.13560/j.cnki.biotech.bull.1985.2025-1451.
YUE Yuan-yi, HUANG Shi-xiong, LIU Kun-ping, FENG Shu-zhen. Effect of Organic-inorganic Combined Fertilization on Sulfur-cycling Microbial Communities in Karst Dryland Soils[J]. Biotechnology Bulletin, doi: 10.13560/j.cnki.biotech.bull.1985.2025-1451.
| 项目 Item | CK | CF | 30% MF | 60% MF |
|---|---|---|---|---|
| pH | 6.72±0.02a | 7.16±0.11a | 6.64±0.01a | 6.93±0.04a |
| 有机碳SOC(g/kg) | 21.07±0.47a | 20.64±0.46a | 22.81±0.55a | 26.86±0.52b |
| 全氮TN(g/kg) | 2.02±0.04a | 2.03±0.07a | 2.18±0.02a | 2.54±0.04b |
| 全磷TP(g/kg) | 1.85±0.01a | 0.94±0.03b | 0.58±0.01c | 0.52±0.04c |
| 全钾TK(g/kg) | 3.10±0.02a | 2.92±0.07a | 3.10±0.07a | 3.18±0.05a |
| 全硫TS(g/kg) | 0.52±0.01c | 0.54±0.02bc | 0.62±0.03a | 0.60±0.01ab |
| 碱解氮AN(mg/kg) | 110.79±4.69a | 100.62±7.08a | 124.99±6.28ab | 134.69±2.81b |
| 速效磷AP(mg/kg) | 23.66±1.83b | 7.97±0.77c | 24.52±0.14a | 31.53±2.01b |
| 速效钾AK(mg/kg) | 302.63±9.36a | 60.80±0.69c | 265.83±2.64b | 310.85±4.65a |
| 有效硫AS(mg/kg) | 5.22±0.52c | 6.00±0.91bc | 9.91±1.31a | 8.87±0.53ab |
| 含水率SWC(%) | 3.902 ± 0.313a | 3.180 ± 0.083a | 3.208 ± 0.365a | 2.748 ± 0.074a |
表1 有机-无机配施条件下喀斯特旱地土壤的理化性质
Table 1 Soil physicochemical properties in karst dryland under organic-inorganic combined fertilization
| 项目 Item | CK | CF | 30% MF | 60% MF |
|---|---|---|---|---|
| pH | 6.72±0.02a | 7.16±0.11a | 6.64±0.01a | 6.93±0.04a |
| 有机碳SOC(g/kg) | 21.07±0.47a | 20.64±0.46a | 22.81±0.55a | 26.86±0.52b |
| 全氮TN(g/kg) | 2.02±0.04a | 2.03±0.07a | 2.18±0.02a | 2.54±0.04b |
| 全磷TP(g/kg) | 1.85±0.01a | 0.94±0.03b | 0.58±0.01c | 0.52±0.04c |
| 全钾TK(g/kg) | 3.10±0.02a | 2.92±0.07a | 3.10±0.07a | 3.18±0.05a |
| 全硫TS(g/kg) | 0.52±0.01c | 0.54±0.02bc | 0.62±0.03a | 0.60±0.01ab |
| 碱解氮AN(mg/kg) | 110.79±4.69a | 100.62±7.08a | 124.99±6.28ab | 134.69±2.81b |
| 速效磷AP(mg/kg) | 23.66±1.83b | 7.97±0.77c | 24.52±0.14a | 31.53±2.01b |
| 速效钾AK(mg/kg) | 302.63±9.36a | 60.80±0.69c | 265.83±2.64b | 310.85±4.65a |
| 有效硫AS(mg/kg) | 5.22±0.52c | 6.00±0.91bc | 9.91±1.31a | 8.87±0.53ab |
| 含水率SWC(%) | 3.902 ± 0.313a | 3.180 ± 0.083a | 3.208 ± 0.365a | 2.748 ± 0.074a |
处理 Treatment | 原始数据 Raw data | 清除后数据 Clean data | 比例 Percentage (%) | ||
|---|---|---|---|---|---|
原始序列条数 Raw reads | 原始总长度(碱基对) Raw total length (bp) | 清除后序列条数 Clean reads | 清除后总长度(碱基对) Clean total length (bp) | ||
| CK | 69 368 338 | 10 474 619 038 | 68 198 170 | 10 259 379 377 | 98.31 |
| 73 160 698 | 11 047 265 398 | 71 871 992 | 10 809 932 382 | 98.24 | |
| 71 108 096 | 10 737 322 496 | 70 004 272 | 10 530 770 856 | 98.45 | |
| 66 933 406 | 10 106 944 306 | 65 969 148 | 9 928 087 529 | 98.56 | |
| CF | 74 394 464 | 11 233 564 064 | 73 193 682 | 11 010 958 103 | 98.39 |
| 73 464 634 | 11 093 159 734 | 72 232 630 | 10 864 136 939 | 98.32 | |
| 72 022 608 | 10 875 413 808 | 70 890 576 | 10 656 228 389 | 98.43 | |
| 74 793 672 | 11 293 844 472 | 73 515 758 | 11 057 358 499 | 98.29 | |
| 30% MF | 73 751 614 | 11 136 493 714 | 72 530 788 | 10 908 722 230 | 98.34 |
| 71 971 366 | 10 867 676 266 | 70 829 750 | 10 655 528 925 | 98.41 | |
| 72 361 960 | 10 926 655 960 | 71 130 528 | 10 697 479 080 | 98.30 | |
| 78 549 904 | 11 861 035 504 | 77 175 014 | 11 608 945 637 | 98.25 | |
| 60% MF | 69 313 388 | 10 466 321 588 | 68 258 190 | 10 270 223 217 | 98.48 |
| 70 273 496 | 10 611 297 896 | 69 233 192 | 10 417 451 166 | 98.52 | |
| 70 990 218 | 10 719 522 918 | 69 927 030 | 10 521 520 756 | 98.50 | |
| 66 020 820 | 9 969 143 820 | 64 929 700 | 9 769 923 406 | 98.35 | |
表2 有机-无机配施条件下土壤基因组DNA测序数据统计
Table 2 Statistics of soil genome DNA sequencing data under organic-inorganic combined fertilization
处理 Treatment | 原始数据 Raw data | 清除后数据 Clean data | 比例 Percentage (%) | ||
|---|---|---|---|---|---|
原始序列条数 Raw reads | 原始总长度(碱基对) Raw total length (bp) | 清除后序列条数 Clean reads | 清除后总长度(碱基对) Clean total length (bp) | ||
| CK | 69 368 338 | 10 474 619 038 | 68 198 170 | 10 259 379 377 | 98.31 |
| 73 160 698 | 11 047 265 398 | 71 871 992 | 10 809 932 382 | 98.24 | |
| 71 108 096 | 10 737 322 496 | 70 004 272 | 10 530 770 856 | 98.45 | |
| 66 933 406 | 10 106 944 306 | 65 969 148 | 9 928 087 529 | 98.56 | |
| CF | 74 394 464 | 11 233 564 064 | 73 193 682 | 11 010 958 103 | 98.39 |
| 73 464 634 | 11 093 159 734 | 72 232 630 | 10 864 136 939 | 98.32 | |
| 72 022 608 | 10 875 413 808 | 70 890 576 | 10 656 228 389 | 98.43 | |
| 74 793 672 | 11 293 844 472 | 73 515 758 | 11 057 358 499 | 98.29 | |
| 30% MF | 73 751 614 | 11 136 493 714 | 72 530 788 | 10 908 722 230 | 98.34 |
| 71 971 366 | 10 867 676 266 | 70 829 750 | 10 655 528 925 | 98.41 | |
| 72 361 960 | 10 926 655 960 | 71 130 528 | 10 697 479 080 | 98.30 | |
| 78 549 904 | 11 861 035 504 | 77 175 014 | 11 608 945 637 | 98.25 | |
| 60% MF | 69 313 388 | 10 466 321 588 | 68 258 190 | 10 270 223 217 | 98.48 |
| 70 273 496 | 10 611 297 896 | 69 233 192 | 10 417 451 166 | 98.52 | |
| 70 990 218 | 10 719 522 918 | 69 927 030 | 10 521 520 756 | 98.50 | |
| 66 020 820 | 9 969 143 820 | 64 929 700 | 9 769 923 406 | 98.35 | |
门类 Phylum | OTU数量 Number of OTUs | 相对丰度 Relative abundance (%) |
|---|---|---|
| Pseudomonadota | 10 963 | 31.70 |
| Actinomycetota | 9 932 | 28.71 |
| Candidatus Rokubacteria | 38 39 | 11.10 |
| Acidobacteriota | 1 643 | 4.75 |
| Chloroflexota | 1 184 | 3.42 |
表3 四个施肥处理土壤中共有物种中优势门类的组成分析
Table 3 Composition analysis of dominant phyla among common species in soils under four fertilization treatments
门类 Phylum | OTU数量 Number of OTUs | 相对丰度 Relative abundance (%) |
|---|---|---|
| Pseudomonadota | 10 963 | 31.70 |
| Actinomycetota | 9 932 | 28.71 |
| Candidatus Rokubacteria | 38 39 | 11.10 |
| Acidobacteriota | 1 643 | 4.75 |
| Chloroflexota | 1 184 | 3.42 |
图2 有机-无机配施条件下喀斯特旱地土壤30% MF和60% MF处理共有的微生物物种分布
Fig. 2 Distribution of common microbial species between 30% MF and 60% MF treatments under organic-inorganic combined fertilization in karst dryland soils
图4 有机-无机配施条件下喀斯特旱地土壤硫循环微生物群落相对丰度A:门水平;B:纲水平;C:属水平;D:种水平
Fig. 4 Relative abundance of soil sulfur-cycling microbial communities in karst dryland under organic-inorganic fertilizationA: Phylum level; B: class level; C: genus level; D: species level
图5 有机-无机配施条件下喀斯特旱地土壤硫循环功能基因的相对表达量1:硫还原;2:硫歧化反应;3:硫氧化系统;4:其他;5:有机硫转化;6:无机硫与有机硫转化的关联;7:异化硫还原与氧化;8:同化硫酸盐还原。不同小写字母表示各处理平均值之间存在显著性差异(P<0.05)
Fig. 5 Relative expression of soil sulfur-cycling functional genes in karst dryland under organic-inorganic fertilization1: Sulfur reduction; 2: sulfur disproportionation; 3: SOX systems; 4: others; 5: organic sulfur transformation; 6: correlation between inorganic and organic sulfur transformation; 7: dissimilatory sulfur reduction and oxidation; 8:assimilatory sulfate reduction. Different lowercase letters indicate significant differences among the means of each treatment (P<0.05)
图6 有机-无机配施条件下喀斯特旱地土壤硫循环功能基因的相对丰度
Fig. 6 Relative abundance of soil sulfur-cycling functional genes in karst dryland under organic-inorganic fertilization
图 7 门水平上前 10种微生物与土壤理化性质的相关分析1: Acidobacteriota; 2: Actinomycetota; 3: Bacillota; 4: Candidatus_Binatota; 5: Candidatus_Rokubacteria; 6: Candidatus_Tectomicrobia; 7: Chloroflexota; 8: Cyanobacteriota; 9: Nitrososphaerota; 10: Pseudomonadota.*P<0.05; **P<0.01; ***P<0.001. The same below
Fig. 7 Correlation analysis between the top ten microorganisms and environmental factors at the phylum level
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