粪便甾醇现代过程及其在环境污染溯源与古生态应用中的研究进展与展望
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1.信阳师范大学地理科学学院;2.兰州大学资源环境学院

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河南省自然科学基金项目(242300421371); 河南省高等学校青年骨干教师培养计划项目(2023GGJS096); 河南省本科高校研究性教学改革研究与实践项目(2022SYJXLX062); 信阳师范学院“南湖学者奖励计划”青年项目联合资助


Advances and perspectives in the application of fecal sterols for environmental pollution source tracing and paleoecology
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1.Xinyang Normal University;2.College of Earth and Environment Sciences,Lanzhou University,Western Environment Ministry of Education Key Laboratory,Lanzhou;3.Xinyang Normal University,Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution

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    摘要:

    粪便甾醇是由人类和高等动物肠道微生物还原胆固醇等Δ5-甾醇产生的一系列甾族化合物,是环境污染溯源与古生态重建的重要指标,在揭示区域生态演变、评估现代环境风险以及探究气候变化与人类活动耦合机制方面具有独特优势与重要价值。系统综述了国内外研究中关于粪便甾醇现代过程调查及其在污染溯源与古生态应用中的研究进展,发现:(1)不同物种(如人类、反刍动物、海洋哺乳动物)的粪便甾醇具有独特的“甾醇指纹”,基于特征比值(如粪甾烷醇/24-乙基粪甾烷醇、异构粪甾烷醇/粪甾烷醇等)可有效区分污染来源,并量化人类与其他动物输入的贡献;(2)在古生态领域,粪便甾醇已成功应用于历史时期人口规模、畜牧业发展及南极企鹅和藏羚羊种群动态的重建研究,为深入理解人类与环境相互作用提供了关键证据;(3)当前研究仍面临种间甾醇特征重叠、区域基础数据库缺失及沉积后生作用干扰等挑战。未来研究需进一步加强粪便甾醇现代过程调查,深入理解其传输、沉积和保存过程及其机制,并结合机器学习算法、多指标分析(如孢粉、古DNA)及高灵敏度检测技术,优化分类模型并构建全球尺度的甾醇指纹数据库,从而提升污染溯源的精度与古生态重建的可靠性。

    Abstract:

    Fecal sterols, a class of persistent steroidal biomarkers derived from the anaerobic microbial reduction of Δ5-sterols (e.g., cholesterol) in the gastrointestinal tracts of humans and higher animals, are widely distributed in diverse environmental matrices including lacustrine sediments, peat deposits, and marine sediments. Owing to their relative chemical stability and recalcitrance to degradation, these compounds are preserved long-term in geological systems. Consequently, they serve as critical geochemical tracers for environmental pollution source apportionment and multi-millennial scale paleoecological reconstruction. Their intrinsic molecular stability against biodegradation, coupled with distinctive structural signatures across taxa, provides unparalleled advantages in revealing regional ecological evolution, quantifying modern environmental risks, and exploring the coupling mechanisms between abrupt climate change and human activities. Motivated by the urgent need to refine sterol-based environmental diagnostics, this paper conducted a systematic review of research advances in national and international studies on the investigation of modern processes of feacal sterols and their application in pollution traceability and paleoecology. The review reveals that: (1) Divergent foraging behaviors, digestive system anatomies, and enzymatic conversion efficiencies across taxa lead to species-specific sterol profiles in fecal matter, forming unique “sterol fingerprints”. Based on characteristic sterol ratios (e.g., coprostanol/24-ethylcoprostanol, epicoprostanol/coprostanol, etc.), researchers can effectively differentiate contamination sources and quantify the contribution of human and animal inputs; (2) Methodological advances in organic geochemical analysis have established biomarker compounds as integral proxies for paleobiological and paleoenvironmental reconstructions. Fecal sterols extracted from lacustrine, marine, and peat archives enable the temporal reconstruction of anthropogenic activities and wildlife dynamics, including human demographic fluctuations, pastoralism intensification patterns, and Antarctic penguin population variations throughout historical periods. These applications served as critical proxies for decoding centennial-scale human-environment coevolution mechanisms preserved in sedimentary archives; (3) While fecal sterols, as an emerging biomarker in geoenvironmental research, demonstrate unique value in tracing human activities, paleoecological reconstruction, and identifying contamination sources, inherent limitations and challenges remain. Current challenges include overlapping sterol characteristics among species, the lack of regional baseline databases, interference from post-depositional processes, and poorly constrained quantification frameworks for holistic modern process modeling. Future research needs to strengthen investigations of modern fecal sterol processes across diverse regions and decipher compartment-specific drivers governing sterol pathways from enteric synthesis to sedimentary sequestration. This requires controlled mesocosm experiments simulating regional environmental stressors (e.g., salinity gradients, temperature anomalies). Combining machine learning algorithms, multi-indicator analyses (e.g., sporoderma, ancient DNA), and high-sensitivity detection techniques will optimize classification models and establish a global-scale sterol fingerprint database, thereby improving the accuracy of pollution source tracing and the reliability of paleoecological reconstruction.

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李秀美,王芸,刘苏涛,秦轲鑫,马硕,张明源.粪便甾醇现代过程及其在环境污染溯源与古生态应用中的研究进展与展望.生态学报,,(). http://dx. doi. org/[doi]

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