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大兴安岭西麓轮作农田土壤微生物的动态变化

Dynamic changes of soil microorganisms in rotation farmland at the western foot of the Greater Khingan range.

作者信息

Wei Shuli, Fang Jing, Zhang Tianjiao, Wang Jianguo, Cheng Yuchen, Ma Jie, Xie Rui, Liu Zhixiong, Su Erhu, Ren Yongfeng, Zhao Xiaoqing, Zhang Xiangqian, Lu Zhanyuan

机构信息

School of Life Science, Inner Mongolia University, Hohhot, China.

Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China.

出版信息

Front Bioeng Biotechnol. 2023 Jun 23;11:1191240. doi: 10.3389/fbioe.2023.1191240. eCollection 2023.

DOI:10.3389/fbioe.2023.1191240
PMID:37425359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10328388/
Abstract

Crop rotation and other tillage systems can affect soil microbial communities and functions. Few studies have reported the response of soil spatial microbial communities to rotation under drought stress. Therefore, the purpose of our study was to explore the dynamic changes of the soil space microbial community under different drought stress-rotation patterns. In this study, two water treatments were set up, control W1 (mass water content 25%-28%), and drought W2 (mass water content 9%-12%). Four crop rotation patterns were set in each water content, spring wheat continuous (R1), spring wheat-potato (R2), spring wheat-potato-rape (R3) and spring wheat-rape (R4), for a total of eight treatments (W1R1, W1R2, W1R3, W1R4, W2R1, W2R2, W2R3, W2R4). Endosphere, rhizosphere and bulk soil of spring wheat in each treatment were collected, and root space microbial community data were generated. The soil microbial community changed under different treatments and their relationship with soil factors were analyzed using a co-occurrence network, mantel test, and other methods. The results revealed that the alpha diversity of microorganisms in the rhizosphere and bulk soil did not differ significantly, but it was significantly greater than in the endosphere. The bacteria community structure was more stable, fungi alpha-diversity significant changes ( < 0.05), that were more sensitive to the response of various treatments than bacteria. The co-occurrence network between fungal species was stable under rotation patterns (R2, R3, R4), while the community stability was poor under continuous cropping pattern (R1), and interactions were strengthened. Soil organic matter (SOM), microbial biomass carbon (MBC), and pH value were the most important factors dominating the bacteria community structural changed in the endosphere, rhizosphere, and bulk soil. The dominant factor that affected the fungal community structural changed in the endosphere, rhizosphere, and bulk soil was SOM. Therefore, we conclude that soil microbial community changes under the drought stress-rotation patterns are mainly influenced by soil SOM and microbial biomass content.

摘要

轮作和其他耕作系统会影响土壤微生物群落及其功能。很少有研究报道干旱胁迫下土壤空间微生物群落对轮作的响应。因此,本研究的目的是探究不同干旱胁迫 - 轮作模式下土壤空间微生物群落的动态变化。本研究设置了两种水分处理,对照W1(质量含水量25% - 28%)和干旱W2(质量含水量9% - 12%)。在每个含水量条件下设置了四种作物轮作模式,春小麦连作(R1)、春小麦 - 马铃薯(R2)、春小麦 - 马铃薯 - 油菜(R3)和春小麦 - 油菜(R4),共八个处理(W1R1、W1R2、W1R3、W1R4、W2R1、W2R2、W2R3、W2R4)。采集各处理春小麦的内生菌、根际和土体土壤,生成根际空间微生物群落数据。采用共现网络、mantel检验等方法分析不同处理下土壤微生物群落的变化及其与土壤因子的关系。结果表明,根际和土体土壤中微生物的α多样性无显著差异,但显著高于内生菌。细菌群落结构更稳定,真菌α多样性有显著变化(<0.05),其对各种处理的响应比细菌更敏感。在轮作模式(R2、R3、R4)下真菌物种间的共现网络稳定,而在连作模式(R1)下群落稳定性较差,且相互作用增强。土壤有机质(SOM)、微生物生物量碳(MBC)和pH值是主导内生菌、根际和土体土壤细菌群落结构变化的最重要因素。影响内生菌、根际和土体土壤真菌群落结构变化的主导因素是SOM。因此,我们得出结论,干旱胁迫 - 轮作模式下土壤微生物群落的变化主要受土壤SOM和微生物生物量含量的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/ce4928755aaf/fbioe-11-1191240-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/e951739ed287/fbioe-11-1191240-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/18b26a0790b2/fbioe-11-1191240-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/fc6e6b0cd28c/fbioe-11-1191240-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/8b7d97dcbfef/fbioe-11-1191240-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/bcee31928f50/fbioe-11-1191240-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/340d3a9effbb/fbioe-11-1191240-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/cb71e6523f6f/fbioe-11-1191240-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/ce4928755aaf/fbioe-11-1191240-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/e951739ed287/fbioe-11-1191240-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/18b26a0790b2/fbioe-11-1191240-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/fc6e6b0cd28c/fbioe-11-1191240-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/8b7d97dcbfef/fbioe-11-1191240-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/bcee31928f50/fbioe-11-1191240-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/340d3a9effbb/fbioe-11-1191240-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/cb71e6523f6f/fbioe-11-1191240-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd47/10328388/ce4928755aaf/fbioe-11-1191240-g008.jpg

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Impacts of land use/land cover and soil property changes on soil erosion in the black soil region, China.
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