不同品种香蕉种植地土壤微生物多样性及其对土壤理化性质的响应
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摘要
本研究以广西不同品种香蕉种植地土壤微生物为研究对象,利用扩增子测序技术、Spearman相关性分析、RDA分析等方法对土壤微生物丰度与多样性进行测定分析,阐述了香蕉及种植地土壤理化性质对土壤微生物丰度与多样性的影响。结果表明:香蕉土壤细菌样品OTU总量与真菌样品OTU总量比率大约是2∶1;香蕉枯萎病病原菌所在属Fusarium占属水平丰度5.132%～55.132%;Spearman相关性分析显示Fusarium与土壤理化性质无显著相关;真菌的丰度与多样性比细菌更易受到土壤的理化性质与营养元素的影响,单一土壤理化性质无法显著影响土壤微生物的群落结构和物种组成;土壤真菌在一定程度上体现香蕉品种的抗病性程度。
In this study, soil microorganisms in different banana growing areas in Guangxi were taken as the research object. Amplicon sequencing technology, Spearman correlation analysis, RDA analysis and other methods were used to determine and analyze the abundance and diversity of soil microorganisms. The effects of physicochemical properties of banana and soil on soil microbial abundance and diversity were discussed. The results showed that the ratio of total OTU of banana soil bacterial samples to that of fungal samples was approximately 2∶1. Fusarium, the genus of the pathogen of banana wilt, accounted for 5.132% to 55.132% of the genus abundance. Spearman correlation analysis showed that there was no significant correlation between Fusarium and soil physicochemical properties. Fusarium had no significant correlation with soil physical and chemical properties. The abundance and diversity of fungi were more easily affected by soil physical and chemical properties and nutrients than bacteria. The single soil physical and chemical properties could not significantly affect the community structure and species composition of soil microorganisms. To a certain extent, soil fungi reflect the degree of disease resistance of banana varieties.
In this study, soil microorganisms in different banana growing areas in Guangxi were taken as the research object. Amplicon sequencing technology, Spearman correlation analysis, RDA analysis and other methods were used to determine and analyze the abundance and diversity of soil microorganisms. The effects of physicochemical properties of banana and soil on soil microbial abundance and diversity were discussed. The results showed that the ratio of total OTU of banana soil bacterial samples to that of fungal samples was approximately 2∶1. Fusarium, the genus of the pathogen of banana wilt, accounted for 5.132% to 55.132% of the genus abundance. Spearman correlation analysis showed that there was no significant correlation between Fusarium and soil physicochemical properties. Fusarium had no significant correlation with soil physical and chemical properties. The abundance and diversity of fungi were more easily affected by soil physical and chemical properties and nutrients than bacteria. The single soil physical and chemical properties could not significantly affect the community structure and species composition of soil microorganisms. To a certain extent, soil fungi reflect the degree of disease resistance of banana varieties.
引文
[1]张静,温仲明,李鸣雷,等.外来物种刺槐对土壤微生物功能多样性的影响[J].生态学报, 2018, 38(14):4964-4974.
[2]王伟华,刘毅,唐海明,等.长期施肥对稻田土壤微生物量、群落结构和活性的影响[J].环境科学, 2018, 39(1):430-437.
[3]王宝荣,杨佳佳,安韶山,等.黄土丘陵区植被与地形特征对土壤和土壤微生物生物量生态化学计量特征的影响[J].应用生态学报, 2018, 29(1):247-259.
[4]范虹,赵财,胡发龙,等.土壤含水量、种植模式和丁香酚对土壤微生物种群结构的影响[J].中国沙漠, 2019,39(2):13-18.
[5]李婷,张威,刘光琇,等.荒漠土壤微生物群落结构特征研究进展[J].中国沙漠, 2018, 38(2):329-338.
[6]张浩,吕茂奎,谢锦升.红壤侵蚀区芒箕对土壤微生物群落结构的影响[J].生态学报, 2018, 38(5):1639-1649.
[7]刘亚军,马琨,李越,等.马铃薯间作栽培对土壤微生物群落结构与功能的影响[J].核农学报, 2018, 32(6):1186-1194.
[8]张静,孙秀秀,徐碧玉,等.香蕉分子育种研究进展[J].分子植物育种, 2018, 16(3):914-923..
[9]杨宇,金鑫,李长江,等.香蕉不同生长期镁和锌营养特征研究[J].中国果树, 2018(3):50-53..
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[11] Ploetz R, Freeman S, Konkol J, et al. Tropical race 4 of Panama disease in the Middle East[J]. Phytoparasitica, 2015,43(3):283-293.
[12] O’Donnell K, Kistler H C, Cigelnik E, et al. Multiple evolutionary origins of the fungus causing Panama disease of banana:concordant evidence from nuclear and mitochondrial gene genealogies[J]. Proceedings of the National Academy of Sciences of the United States of America, 1998, 95(5):2044-2049.
[13] Viljoen A. The status of Fusarium wilt(Panama disease)of banana in South Africa[J]. South African Journal of Science,2002, 98(7):341-344.
[14] Ploetz, Randy. Panama disease:A classic and destructive disease of banana[J/OL]. Plant Health Progress. 2000, 10.DOI:10.1094/PHP-2000-1204-01-HM.
[15]张磊,郭燕,王云月,等.香蕉枯萎病菌TR4原生质体转化和基因敲除体系构建[J].植物病理学报, 2018,48(1):137-140.
[16] Zhang H, Mallik A, Zeng R S. Control of Panama disease of banana by rotating and intercropping with Chinese chive(Allium tuberosum Rottler):role of plant volatiles[J]. Journal of Chemical Ecology, 2013, 39(2):243-252.
[17]邓晓,李勤奋,侯宪文,等.添加甘蔗渣对香蕉杆堆肥化过程中微生物种群的影响[J].中国农学通报, 2009,25(15):125-130.
[18]匡石滋,李春雨,田世尧,等.复合菌剂对香蕉茎秆堆肥中微生物和养分含量的影响[J].中国农学通报, 2011,27(6):182-187.
[19]黄永红,吕顺,李春雨,等.香蕉枯萎病菌4号生理小种对香蕉根际土壤微生物及酶活性的影响[J].湖南农业大学学报(自然科学版), 2012, 38(2):173-176.
[20]洪珊,剧虹伶,阮云泽,等.茄子与香蕉轮作配施生物有机肥对连作蕉园土壤微生物区系的影响[J].中国生态农业学报, 2017, 25(1):78-85.
[21]王一鸣,赖朝圆,阮云泽,等.石灰联合碳铵熏蒸对连作香蕉生长和根际微生物群落结构的影响[J].中国南方果树,2018, 47(3):5-13.
[22]张志红,冯宏,肖相政,等.生物肥防治香蕉枯萎病及对土壤微生物多样性的影响[J].果树学报, 2010, 27(4):575-579.
[23]李进,樊小林,蔺中.碱性肥料对土壤微生物多样性及香蕉枯萎病发生的影响[J].植物营养与肥料学报, 2018,24(1):212-219.
[24]邓晓,李勤奋,侯宪文,等.香蕉枯萎病患病与健康蕉园土壤微生物群落功能多样性的比较研究[J].土壤通报,2013, 44(2):355-362.
[25]邓晓,李勤奋,侯宪文,等.香蕉枯萎病不同感病级别植株根际与非根际土壤微生物物种多样性研究[J].中国农学通报, 2012, 28(30):239-248.
[26]鲍士旦.土壤农化分析[M]. 3版.北京:中国农业出版社,2000.
[27] Martin M. CUTADAPT removes adapter sequences from high-throughput sequencing reads[J]. EMBnet.journal, 2011,17(1):10-12.
[28] Edgar R C, Haas B J, Clemente J C, et al. UCHIME improves sensitivity and speed of chimera detection[J]. Bioinformatics, 2011, 27(16):2194-2200.
[29] Haas B J, Gevers D, Earl A M, et al. Chimeric 16S r RNA sequence formation and detection in Sanger and454-pyrosequenced PCR amplicons[J]. Genome research,2011, 21(3):494-504.
[30] Edgar R C. UPARSE:highly accurate OTU sequences from microbial amplicon reads[J]. Nature Methods, 2013, 10(10):996-998.
[31] Wang Q G, Garrity M, Tiedje J M, et al. Naive Bayesian classifier for rapid assignment of r RNA sequences into the new bacterial taxonomy[J]. Applied and Environmental Microbiology, 2007, 73(16):5261-5267.
[32] Quast C, Pruesse E, Yilmaz P, et al. The SILVA ribosomal RNA gene database project:improved data processing and web-based tools[J]. Nucleic Acids Research, 2013, 41(D1):D590-D596.
[33] Edgar R. MUSCLE:multiple sequence alignment with high accuracy and high throughput[J]. Nucleic Acids Research,2004, 32(5):1792–1797.
[34] Algina J, Keselman H J. Comparing squared multiple correlation coefficients:Examination of a confidence interval and a test significance[J]. Psychological Methods, 1999, 4(1):76-83.
[35] Yang S L, Zhang J, Xu J X. Influence of the Three Gorges Dam on downstream delivery of sediment and its environmental implications, Yangtze River[J]. Geophysical Research Letters, 2007, 34(10):L10401.
[36] Sheik C S, Mitchell T W, Rizvi F Z, et al. Exposure of soil microbial communities to chromium and arsenic alters their diversity and structure[J]. PLoS One, 2012, 7(6):e40059.
[37] Kim S J, Ahn J H, Weon H Y, et al. Chujaibacter soli gen.nov., sp. nov., isolated from soil[J]. Journal of Microbiology,2015, 53(9):592-597.
[38] Yang X M, Shi J X, Feng Y G, et al. Tobacco bacterial wilt can be biologically controlled by the application of antagonistic strains in combination with organic fertilizer[J]. Biology&Fertility of Soils, 2013, 49(4):447-464.
[39]邓超超,李玲玲,谢军红,等.耕作措施对陇中旱农区土壤细菌群落的影响[J].土壤学报, 2019, 56(1):207-216.
[40]尚天翠,卫刚,赵玉.新疆野生樱桃李林不同生态条件下土壤细菌数量变化及其影响因子研究[J].生物学杂志, 2015(2):58-60.
[41]刘艳霞,李想,邹焱,等.贵州省典型植烟生态区域根际土壤微生物群落多样性[J].生态学报, 2018, 38(9):3145-3154.
[42]曹志平,李德鹏,韩雪梅.土壤食物网中的真菌/细菌比率及测定方法[J].生态学报, 2011, 31(16):4741-4748.
[2]王伟华,刘毅,唐海明,等.长期施肥对稻田土壤微生物量、群落结构和活性的影响[J].环境科学, 2018, 39(1):430-437.
[3]王宝荣,杨佳佳,安韶山,等.黄土丘陵区植被与地形特征对土壤和土壤微生物生物量生态化学计量特征的影响[J].应用生态学报, 2018, 29(1):247-259.
[4]范虹,赵财,胡发龙,等.土壤含水量、种植模式和丁香酚对土壤微生物种群结构的影响[J].中国沙漠, 2019,39(2):13-18.
[5]李婷,张威,刘光琇,等.荒漠土壤微生物群落结构特征研究进展[J].中国沙漠, 2018, 38(2):329-338.
[6]张浩,吕茂奎,谢锦升.红壤侵蚀区芒箕对土壤微生物群落结构的影响[J].生态学报, 2018, 38(5):1639-1649.
[7]刘亚军,马琨,李越,等.马铃薯间作栽培对土壤微生物群落结构与功能的影响[J].核农学报, 2018, 32(6):1186-1194.
[8]张静,孙秀秀,徐碧玉,等.香蕉分子育种研究进展[J].分子植物育种, 2018, 16(3):914-923..
[9]杨宇,金鑫,李长江,等.香蕉不同生长期镁和锌营养特征研究[J].中国果树, 2018(3):50-53..
[10]王文华.香蕉枯萎镰刀菌1、4号小种r DNA-ITS序列分析及4号小种遗传转化体系建立[D].儋州:华南热带农业大学, 2007.
[11] Ploetz R, Freeman S, Konkol J, et al. Tropical race 4 of Panama disease in the Middle East[J]. Phytoparasitica, 2015,43(3):283-293.
[12] O’Donnell K, Kistler H C, Cigelnik E, et al. Multiple evolutionary origins of the fungus causing Panama disease of banana:concordant evidence from nuclear and mitochondrial gene genealogies[J]. Proceedings of the National Academy of Sciences of the United States of America, 1998, 95(5):2044-2049.
[13] Viljoen A. The status of Fusarium wilt(Panama disease)of banana in South Africa[J]. South African Journal of Science,2002, 98(7):341-344.
[14] Ploetz, Randy. Panama disease:A classic and destructive disease of banana[J/OL]. Plant Health Progress. 2000, 10.DOI:10.1094/PHP-2000-1204-01-HM.
[15]张磊,郭燕,王云月,等.香蕉枯萎病菌TR4原生质体转化和基因敲除体系构建[J].植物病理学报, 2018,48(1):137-140.
[16] Zhang H, Mallik A, Zeng R S. Control of Panama disease of banana by rotating and intercropping with Chinese chive(Allium tuberosum Rottler):role of plant volatiles[J]. Journal of Chemical Ecology, 2013, 39(2):243-252.
[17]邓晓,李勤奋,侯宪文,等.添加甘蔗渣对香蕉杆堆肥化过程中微生物种群的影响[J].中国农学通报, 2009,25(15):125-130.
[18]匡石滋,李春雨,田世尧,等.复合菌剂对香蕉茎秆堆肥中微生物和养分含量的影响[J].中国农学通报, 2011,27(6):182-187.
[19]黄永红,吕顺,李春雨,等.香蕉枯萎病菌4号生理小种对香蕉根际土壤微生物及酶活性的影响[J].湖南农业大学学报(自然科学版), 2012, 38(2):173-176.
[20]洪珊,剧虹伶,阮云泽,等.茄子与香蕉轮作配施生物有机肥对连作蕉园土壤微生物区系的影响[J].中国生态农业学报, 2017, 25(1):78-85.
[21]王一鸣,赖朝圆,阮云泽,等.石灰联合碳铵熏蒸对连作香蕉生长和根际微生物群落结构的影响[J].中国南方果树,2018, 47(3):5-13.
[22]张志红,冯宏,肖相政,等.生物肥防治香蕉枯萎病及对土壤微生物多样性的影响[J].果树学报, 2010, 27(4):575-579.
[23]李进,樊小林,蔺中.碱性肥料对土壤微生物多样性及香蕉枯萎病发生的影响[J].植物营养与肥料学报, 2018,24(1):212-219.
[24]邓晓,李勤奋,侯宪文,等.香蕉枯萎病患病与健康蕉园土壤微生物群落功能多样性的比较研究[J].土壤通报,2013, 44(2):355-362.
[25]邓晓,李勤奋,侯宪文,等.香蕉枯萎病不同感病级别植株根际与非根际土壤微生物物种多样性研究[J].中国农学通报, 2012, 28(30):239-248.
[26]鲍士旦.土壤农化分析[M]. 3版.北京:中国农业出版社,2000.
[27] Martin M. CUTADAPT removes adapter sequences from high-throughput sequencing reads[J]. EMBnet.journal, 2011,17(1):10-12.
[28] Edgar R C, Haas B J, Clemente J C, et al. UCHIME improves sensitivity and speed of chimera detection[J]. Bioinformatics, 2011, 27(16):2194-2200.
[29] Haas B J, Gevers D, Earl A M, et al. Chimeric 16S r RNA sequence formation and detection in Sanger and454-pyrosequenced PCR amplicons[J]. Genome research,2011, 21(3):494-504.
[30] Edgar R C. UPARSE:highly accurate OTU sequences from microbial amplicon reads[J]. Nature Methods, 2013, 10(10):996-998.
[31] Wang Q G, Garrity M, Tiedje J M, et al. Naive Bayesian classifier for rapid assignment of r RNA sequences into the new bacterial taxonomy[J]. Applied and Environmental Microbiology, 2007, 73(16):5261-5267.
[32] Quast C, Pruesse E, Yilmaz P, et al. The SILVA ribosomal RNA gene database project:improved data processing and web-based tools[J]. Nucleic Acids Research, 2013, 41(D1):D590-D596.
[33] Edgar R. MUSCLE:multiple sequence alignment with high accuracy and high throughput[J]. Nucleic Acids Research,2004, 32(5):1792–1797.
[34] Algina J, Keselman H J. Comparing squared multiple correlation coefficients:Examination of a confidence interval and a test significance[J]. Psychological Methods, 1999, 4(1):76-83.
[35] Yang S L, Zhang J, Xu J X. Influence of the Three Gorges Dam on downstream delivery of sediment and its environmental implications, Yangtze River[J]. Geophysical Research Letters, 2007, 34(10):L10401.
[36] Sheik C S, Mitchell T W, Rizvi F Z, et al. Exposure of soil microbial communities to chromium and arsenic alters their diversity and structure[J]. PLoS One, 2012, 7(6):e40059.
[37] Kim S J, Ahn J H, Weon H Y, et al. Chujaibacter soli gen.nov., sp. nov., isolated from soil[J]. Journal of Microbiology,2015, 53(9):592-597.
[38] Yang X M, Shi J X, Feng Y G, et al. Tobacco bacterial wilt can be biologically controlled by the application of antagonistic strains in combination with organic fertilizer[J]. Biology&Fertility of Soils, 2013, 49(4):447-464.
[39]邓超超,李玲玲,谢军红,等.耕作措施对陇中旱农区土壤细菌群落的影响[J].土壤学报, 2019, 56(1):207-216.
[40]尚天翠,卫刚,赵玉.新疆野生樱桃李林不同生态条件下土壤细菌数量变化及其影响因子研究[J].生物学杂志, 2015(2):58-60.
[41]刘艳霞,李想,邹焱,等.贵州省典型植烟生态区域根际土壤微生物群落多样性[J].生态学报, 2018, 38(9):3145-3154.
[42]曹志平,李德鹏,韩雪梅.土壤食物网中的真菌/细菌比率及测定方法[J].生态学报, 2011, 31(16):4741-4748.