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在甘蔗生长过程中,生态位分化调节了硅肥处理土壤中代谢物的丰度和组成。

Niche differentiation modulates metabolites abundance and composition in silicon fertilizer amended soil during sugarcane growth.

机构信息

Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.

College of Agricultural, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.

出版信息

BMC Plant Biol. 2022 Oct 24;22(1):497. doi: 10.1186/s12870-022-03880-7.

DOI:10.1186/s12870-022-03880-7
PMID:36280810
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9590199/
Abstract

BACKGROUND

As one of the vital crops globally, sugarcane (Saccharum officinarum L.) has been one of model crops for conducting metabolome research. Although many studies have focused on understanding bioactive components in specific sugarcane tissues, crucial questions have been left unanswered about the response of metabolites to niche differentiation such as different sugarcane tissues (leaf, stem and root), and soil regions (rhizosphere and bulk) under silicon (Si) amended soils. Here, nontargeted metabolite profiling method was leveraged to assess the similarities and differences in the abundance and community composition of metabolites in the different sugarcane and soil compartments. Identify the compartment-specific expression patterns of metabolites, and their association with cane agronomic traits and edaphic factors. We also investigated the response of sugarcane agronomic traits and edaphic factors to Si amended soil.

RESULTS

We found that Si fertilizer exhibited the advantages of overwhelmingly promoting the height and theoretical production of cane, and profoundly increased soil Si content by 24.8 and 27.0%, while soil available potassium (AK) was enhanced by 3.07 and 2.67 folds in the bulk and rhizosphere soils, respectively. It was also noticed that available phosphorus (AP) in the rhizosphere soil tremendously increased by 105.5%. We detected 339 metabolites in 30 samples using LC-MS/MS analyses, 161 of which were classified and annotated, including organooxygen compounds (19.9%), carboxylic acids and derivatives (15.5%), fatty acyls (15.5%), flavonoids (4.4%), phenols (4.4%), and benzene and substituted derivatives (3.7%). In addition, the total percentages covered by these core metabolites in each compartment ranged from 94.0% (bulk soil) to 93.4% (rhizosphere soil), followed by 87.4% (leaf), 81.0% (root) and 80.5% (stem), suggesting that these bioactive compounds may have migrated from the belowground tissues and gradually filtered in various aboveground niches of the plant. We also observed that the variations and enrichment of metabolites abundance and community were compartment-specific. Furthermore, some key bioactive compounds were markedly associated with plant growth parameters and soil edaphic.

CONCLUSION

Taken together, we hypothesized that Si utilization can exhibit the advantage of enhancing edaphic factors and cane agronomic traits, and variations in metabolites community are tissue-specific.

摘要

背景

作为全球重要作物之一,甘蔗(Saccharum officinarum L.)一直是代谢组学研究的模式作物之一。尽管许多研究都集中在了解特定甘蔗组织中的生物活性成分,但对于代谢物对生态位分化(如不同的甘蔗组织(叶、茎和根)和土壤区域(根际和体相))的响应,仍存在一些关键问题尚未得到解答。在添加硅(Si)的土壤下。在这里,我们利用非靶向代谢物分析方法来评估不同甘蔗和土壤隔室中代谢物丰度和群落组成的相似性和差异性。确定代谢物的组织特异性表达模式,以及它们与甘蔗农艺性状和土壤因素的关系。我们还研究了甘蔗农艺性状和土壤因素对添加 Si 的土壤的响应。

结果

我们发现,硅肥具有显著促进甘蔗高度和理论产量的优势,可将土壤 Si 含量分别提高 24.8 和 27.0%,而土壤速效钾(AK)在体相和根际土壤中分别提高了 3.07 和 2.67 倍。同样,根际土壤中的有效磷(AP)也大大增加了 105.5%。通过 LC-MS/MS 分析,在 30 个样本中检测到 339 种代谢物,其中 161 种被分类和注释,包括有机含氧化合物(19.9%)、羧酸及其衍生物(15.5%)、脂肪酸(15.5%)、类黄酮(4.4%)、酚类(4.4%)和苯及其取代衍生物(3.7%)。此外,这些核心代谢物在每个隔室中的总百分比范围从 94.0%(体相土壤)到 93.4%(根际土壤),其次是 87.4%(叶)、81.0%(根)和 80.5%(茎),表明这些生物活性化合物可能已经从地下组织中迁移,并逐渐在植物的各种地上生态位中过滤。我们还观察到,代谢物丰度和群落的变化和富集是隔室特异性的。此外,一些关键的生物活性化合物与植物生长参数和土壤土壤密切相关。

结论

综上所述,我们假设硅的利用可以表现出增强土壤因子和甘蔗农艺性状的优势,并且代谢物群落的变化是组织特异性的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/e6aad876d781/12870_2022_3880_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/cc52f50d7e74/12870_2022_3880_Fig6_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/e6aad876d781/12870_2022_3880_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/0dcd1f27089d/12870_2022_3880_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/a11c9929c21a/12870_2022_3880_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/c266d69bf346/12870_2022_3880_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/91acd4aec363/12870_2022_3880_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/6de5dd07523a/12870_2022_3880_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/cc52f50d7e74/12870_2022_3880_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/2111af0cfbca/12870_2022_3880_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b1/9590199/e6aad876d781/12870_2022_3880_Fig8_HTML.jpg

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