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独脚金内酯在模拟氮沉降条件下对基因表达和土壤微生物群落结构的影响

Effects of Strigolactone on Gene Expression and Soil Microbial Community Structure Under Simulated Nitrogen Deposition.

作者信息

Yu Chenliang, Wang Qi, Zhang Shouke, Zeng Hao, Chen Weijie, Chen Wenchao, Lou Heqiang, Yu Weiwu, Wu Jiasheng

机构信息

State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.

School of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou, China.

出版信息

Front Plant Sci. 2022 Jun 2;13:908129. doi: 10.3389/fpls.2022.908129. eCollection 2022.

DOI:10.3389/fpls.2022.908129
PMID:35720604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9201785/
Abstract

Nitrogen enters the terrestrial ecosystem through deposition. High nitrogen levels can affect physical and chemical properties of soil and inhibit normal growth and reproduction of forest plants. Nitrogen modulates the composition of soil microorganisms. Strigolactones inhibits plant branching, promotes root growth, nutrient absorption, and promotes arbuscular fungal mycelia branching. Plants are subjected to increasing atmospheric nitrogen deposition. Therefore, it is imperative to explore the relationship between strigolactone and nitrogen deposition of plants and abundance of soil microorganisms. In the present study, the effects of strigolactone on genetic responses and soil microorganisms of , under simulated nitrogen deposition were explored using high-throughput sequencing techniques. is a subtropical economic tree species in China. A total of 4,008 differentially expressed genes were identified in additional N deposition and GR24 treatment. These genes were associated with multiple GO terms and metabolic pathways. GO enrichment analysis showed that several DEGs were associated with enrichment of the transporter activity term. Both additional nitrogen deposition and GR24 treatment modulated the content of nutrient elements. The content of K reduced in leaves after additional N deposition treatment. The content of P increased in leaves after GR24 treatment. A total of 20 families and 29 DEGs associated with transporters were identified. These transporters may be regulated by transcription factors. A total of 1,402,819 clean reads and 1,778 amplicon sequence variants (ASVs) were generated through Bacterial 16S rRNA sequencing. Random forest classification revealed that Legionella, Lacunisphaera, Klebsiella, Bryobacter, and Janthinobacterium were significantly enriched in the soil in the additional N deposition group and the GR24 treatment group. Co-occurrence network analysis showed significant differences in composition of soil microbial community under different treatments. These results indicate a relationship between N deposition and strigolactones effect. The results provide new insights on the role of strigolactones in plants and composition of soil microorganisms under nitrogen deposition.

摘要

氮通过沉降进入陆地生态系统。高氮水平会影响土壤的物理和化学性质,并抑制森林植物的正常生长和繁殖。氮会调节土壤微生物的组成。独脚金内酯抑制植物分枝,促进根系生长、养分吸收,并促进丛枝真菌菌丝体分枝。植物正面临大气氮沉降增加的情况。因此,探索独脚金内酯与植物氮沉降及土壤微生物丰度之间的关系势在必行。在本研究中,利用高通量测序技术探讨了独脚金内酯在模拟氮沉降条件下对[具体植物名称未给出]的遗传响应和土壤微生物的影响。[具体植物名称未给出]是中国的一种亚热带经济树种。在额外施氮和GR24处理中总共鉴定出4008个差异表达基因。这些基因与多个基因本体(GO)术语和代谢途径相关。GO富集分析表明,一些差异表达基因与转运蛋白活性术语的富集有关。额外施氮和GR24处理均调节了营养元素的含量。额外施氮处理后叶片中钾的含量降低。GR24处理后叶片中磷的含量增加。总共鉴定出20个家族和29个与转运蛋白相关的差异表达基因。这些转运蛋白可能受转录因子调控。通过细菌16S rRNA测序共产生了1402819条 clean reads和1778个扩增子序列变体(ASV)。随机森林分类显示,军团菌属、湖沼球形菌属、克雷伯菌属、Bryobacter属和詹氏菌属在额外施氮组和GR24处理组的土壤中显著富集。共现网络分析表明不同处理下土壤微生物群落的组成存在显著差异。这些结果表明了氮沉降与独脚金内酯效应之间的关系。研究结果为独脚金内酯在氮沉降条件下对植物的作用及土壤微生物组成提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/68cdca3a24e3/fpls-13-908129-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/221255c14ac0/fpls-13-908129-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/ec6bdc3be036/fpls-13-908129-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/ea792e38bb4e/fpls-13-908129-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/dbfb842de8e5/fpls-13-908129-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/11f7eb34d83d/fpls-13-908129-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/3f085c6bfb7f/fpls-13-908129-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/950d1f7ac2b9/fpls-13-908129-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/68cdca3a24e3/fpls-13-908129-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/221255c14ac0/fpls-13-908129-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/ec6bdc3be036/fpls-13-908129-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/ea792e38bb4e/fpls-13-908129-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/dbfb842de8e5/fpls-13-908129-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/11f7eb34d83d/fpls-13-908129-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/3f085c6bfb7f/fpls-13-908129-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/950d1f7ac2b9/fpls-13-908129-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b1/9201785/68cdca3a24e3/fpls-13-908129-g008.jpg

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