• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

土地利用变化与管理集约化与咖啡农业生态系统中土壤微生物群落组成及其功能多样性的转变有关。

Land-Use Change and Management Intensification Is Associated with Shifts in Composition of Soil Microbial Communities and Their Functional Diversity in Coffee Agroecosystems.

作者信息

Carrasco-Espinosa Karen, Avitia Morena, Barrón-Sandoval Alberto, Abbruzzini Thalita F, Salazar Cabrera Ulises Isaac, Arroyo-Lambaer Denise, Uscanga Adriana, Campo Julio, Benítez Mariana, Wegier Ana, Rosell Julieta A, Reverchon Frédérique, Hernández Gerardo, Boege Karina, Escalante Ana E

机构信息

Laboratorio Nacional de Ciencias de la Sostenibilidad, Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.

Programa de Doctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.

出版信息

Microorganisms. 2022 Aug 31;10(9):1763. doi: 10.3390/microorganisms10091763.

DOI:10.3390/microorganisms10091763
PMID:36144367
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9504970/
Abstract

Despite the central role of microorganisms in soil fertility, little understanding exists regarding the impact of management practices and soil microbial diversity on soil processes. Strong correlations among soil microbial composition, management practices, and microbially mediated processes have been previously shown. However, limited integration of the different parameters has hindered our understanding of agroecosystem functioning. Multivariate analyses of these systems allow simultaneous evaluation of the parameters and can lead to hypotheses on the microbial groups involved in specific nutrient transformations. In the present study, using a multivariate approach, we investigated the effect of microbial composition (16SrDNA sequencing) and soil properties in carbon mineralization (C) (BIOLOG™, Hayward, CA, USA) across different management categories on coffee agroecosystems in Mexico. Results showed that (i) changes in soil physicochemical variables were related to management, not to region, (ii) microbial composition was associated with changes in management intensity, (iii) specific bacterial groups were associated with different management categories, and (iv) there was a broader utilization range of carbon sources in non-managed plots. The identification of specific bacterial groups, management practices, and soil parameters, and their correlation with the utilization range of carbon sources, presents the possibility to experimentally test hypotheses on the interplay of all these components and further our understanding of agroecosystem functioning and sustainable management.

摘要

尽管微生物在土壤肥力中起着核心作用,但对于管理措施和土壤微生物多样性对土壤过程的影响,人们了解甚少。此前已表明土壤微生物组成、管理措施和微生物介导过程之间存在强相关性。然而,不同参数的有限整合阻碍了我们对农业生态系统功能的理解。对这些系统进行多变量分析可以同时评估参数,并能得出关于参与特定养分转化的微生物群体的假设。在本研究中,我们采用多变量方法,研究了微生物组成(16SrDNA测序)和土壤性质对墨西哥咖啡农业生态系统不同管理类别下碳矿化(C)(美国加利福尼亚州海沃德市的BIOLOG™)的影响。结果表明:(i)土壤理化变量的变化与管理措施有关,而非与区域有关;(ii)微生物组成与管理强度的变化有关;(iii)特定细菌群体与不同管理类别有关;(iv)未管理地块中碳源的利用范围更广。特定细菌群体、管理措施和土壤参数的确定,以及它们与碳源利用范围的相关性,为通过实验检验所有这些组分之间相互作用的假设以及进一步理解农业生态系统功能和可持续管理提供了可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68c/9504970/e4eec8c94615/microorganisms-10-01763-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68c/9504970/1d45bede5070/microorganisms-10-01763-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68c/9504970/5cb2a21f2ee0/microorganisms-10-01763-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68c/9504970/383a07f70109/microorganisms-10-01763-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68c/9504970/e4eec8c94615/microorganisms-10-01763-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68c/9504970/1d45bede5070/microorganisms-10-01763-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68c/9504970/5cb2a21f2ee0/microorganisms-10-01763-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68c/9504970/383a07f70109/microorganisms-10-01763-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c68c/9504970/e4eec8c94615/microorganisms-10-01763-g004.jpg

相似文献

1
Land-Use Change and Management Intensification Is Associated with Shifts in Composition of Soil Microbial Communities and Their Functional Diversity in Coffee Agroecosystems.土地利用变化与管理集约化与咖啡农业生态系统中土壤微生物群落组成及其功能多样性的转变有关。
Microorganisms. 2022 Aug 31;10(9):1763. doi: 10.3390/microorganisms10091763.
2
Soil microbial composition varies in response to coffee agroecosystem management.土壤微生物组成随咖啡农业生态系统管理而变化。
FEMS Microbiol Ecol. 2020 Sep 1;96(9). doi: 10.1093/femsec/fiaa164.
3
Temporal Dynamics of Bacterial Communities along a Gradient of Disturbance in a U.S. Southern Plains Agroecosystem.美国南部平原农业生态系统中干扰梯度下细菌群落的时间动态。
mBio. 2022 Jun 28;13(3):e0382921. doi: 10.1128/mbio.03829-21. Epub 2022 Apr 14.
4
Cover Crop Management Practices Rather Than Composition of Cover Crop Mixtures Affect Bacterial Communities in No-Till Agroecosystems.覆盖作物管理措施而非覆盖作物混合物的组成影响免耕农业生态系统中的细菌群落。
Front Microbiol. 2019 Jul 9;10:1618. doi: 10.3389/fmicb.2019.01618. eCollection 2019.
5
Land use as a driver of soil fertility and biodiversity across an agricultural landscape in the Central Peruvian Andes.土地利用对秘鲁安第斯山脉中部农业景观土壤肥力和生物多样性的影响。
Ecol Appl. 2017 Jun;27(4):1138-1154. doi: 10.1002/eap.1508. Epub 2017 Mar 24.
6
Unravelling the effects of tropical land use conversion on the soil microbiome.揭示热带土地利用转变对土壤微生物群落的影响。
Environ Microbiome. 2020 Feb 3;15(1):5. doi: 10.1186/s40793-020-0353-3.
7
Plant diversity and soil properties regulate the microbial community of monsoon evergreen broad-leaved forest under different intensities of woodland use.植物多样性和土壤性质调节不同强度林地利用下季风常绿阔叶林的微生物群落。
Sci Total Environ. 2022 May 15;821:153565. doi: 10.1016/j.scitotenv.2022.153565. Epub 2022 Jan 29.
8
Climate change and land use induce functional shifts in soil nematode communities.气候变化和土地利用导致土壤线虫群落功能发生转变。
Oecologia. 2020 Jan;192(1):281-294. doi: 10.1007/s00442-019-04560-4. Epub 2019 Nov 28.
9
Soil microbial composition and carbon mineralization are associated with vegetation type and temperature regime in mesocosms of a semiarid ecosystem.土壤微生物组成和碳矿化与半干旱生态系统中中观系统的植被类型和温度状况有关。
FEMS Microbiol Lett. 2021 Mar 3;368(4). doi: 10.1093/femsle/fnab012.
10
Taxonomic shifts in arbuscular mycorrhizal fungal communities with shade and soil nitrogen across conventionally managed and organic coffee agroecosystems.丛枝菌根真菌群落的分类变化与遮荫和土壤氮素在常规管理和有机咖啡农业生态系统中的关系。
Mycorrhiza. 2020 Jul;30(4):513-527. doi: 10.1007/s00572-020-00967-7. Epub 2020 Jun 4.

引用本文的文献

1
Soil and cherry bacterial communities predict flavor on coffee farms.土壤和樱桃细菌群落可预测咖啡农场的风味。
Sci Rep. 2025 Jun 3;15(1):19387. doi: 10.1038/s41598-025-03665-6.
2
Exploring Microeukaryote Community Characteristics and Niche Differentiation in Arid Farmland Soil at the Northeastern Edge of the Tibetan Plateau.探索青藏高原东北边缘干旱农田土壤中的微型真核生物群落特征与生态位分化
Microorganisms. 2023 Oct 8;11(10):2510. doi: 10.3390/microorganisms11102510.

本文引用的文献

1
The PTS-KdpDE-KdpFABC Pathway Contributes to Low Potassium Stress Adaptation and Competitive Nodulation of Sinorhizobium fredii.PTS-KdpDE-KdpFABC 途径有助于慢生根瘤菌适应低钾胁迫和竞争结瘤。
mBio. 2022 Jun 28;13(3):e0372121. doi: 10.1128/mbio.03721-21. Epub 2022 May 2.
2
Inferring microbiota functions from taxonomic genes: a review.从分类基因推断微生物群落功能:综述。
Gigascience. 2022 Jan 12;11(1). doi: 10.1093/gigascience/giab090.
3
Nutrients cause consolidation of soil carbon flux to small proportion of bacterial community.
养分导致土壤碳通量向一小部分细菌群落的聚集。
Nat Commun. 2021 Jun 7;12(1):3381. doi: 10.1038/s41467-021-23676-x.
4
Improved Microbial Community Characterization of 16S rRNA via Metagenome Hybridization Capture Enrichment.通过宏基因组杂交捕获富集改进16S rRNA的微生物群落特征分析
Front Microbiol. 2021 Apr 27;12:644662. doi: 10.3389/fmicb.2021.644662. eCollection 2021.
5
Elevated Atmospheric CO and Nitrogen Fertilization Affect the Abundance and Community Structure of Rice Root-Associated Nitrogen-Fixing Bacteria.大气中二氧化碳浓度升高和施氮肥影响水稻根系固氮细菌的丰度和群落结构。
Front Microbiol. 2021 Apr 21;12:628108. doi: 10.3389/fmicb.2021.628108. eCollection 2021.
6
Primer, Pipelines, Parameters: Issues in 16S rRNA Gene Sequencing.引物、流程、参数:16S rRNA 基因测序中的问题。
mSphere. 2021 Feb 24;6(1):e01202-20. doi: 10.1128/mSphere.01202-20.
7
Genome-Resolved Metagenomics Is Essential for Unlocking the Microbial Black Box of the Soil.基因组解析宏基因组学对于解锁土壤微生物黑箱至关重要。
Trends Microbiol. 2021 Apr;29(4):279-282. doi: 10.1016/j.tim.2021.01.013. Epub 2021 Feb 4.
8
Culturing of "Unculturable" Subsurface Microbes: Natural Organic Carbon Source Fuels the Growth of Diverse and Distinct Bacteria From Groundwater.“不可培养的”地下微生物的培养:天然有机碳源促进了地下水中多种不同细菌的生长。
Front Microbiol. 2020 Dec 17;11:610001. doi: 10.3389/fmicb.2020.610001. eCollection 2020.
9
Inference-based accuracy of metagenome prediction tools varies across sample types and functional categories.基于推断的宏基因组预测工具的准确性在样本类型和功能类别上有所不同。
Microbiome. 2020 Apr 2;8(1):46. doi: 10.1186/s40168-020-00815-y.
10
Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning.真菌-细菌多样性和微生物组复杂性预测生态系统功能。
Nat Commun. 2019 Oct 24;10(1):4841. doi: 10.1038/s41467-019-12798-y.