




摘" 要:對畢節市市內采集的3類瓦斯濃度不同的煤礦礦石樣本進行非靶向代謝產物分析,以了解其分布情況、豐度等信息。采集市內距離相近的3類不同瓦斯濃度煤礦礦石,使用色譜儀聯合質譜儀進行檢測,并對檢測數據進行分析。在3類礦石中標注到化合物369種,其中,氨基酸、多肽和類似物(Amino acids, peptides, and analogues)占12.97%,某種數據庫未描述的化合物(Not Available)占12.97%,脂肪酸和偶聯物(Fatty acids and conjugates)占5.48%,為占比最靠前的3類化合物;低瓦斯煤礦(Ao)與高瓦斯煤礦(Bo)差異化合物87種、低瓦斯煤礦(Ao)與突出瓦斯煤礦(Co)差異化合物64種,高瓦斯煤礦(Bo)與突出瓦斯煤礦(Co)差異化合物100種。該研究較為系統地觀察畢節市內3類不同瓦斯濃度煤礦的生物代謝產物,分析它們之間存在的差異和可能的原因,并作KEGG信號通路預測,為本區域內的煤礦開采、疾病防治、礦區生物相關研究等提供參考數據。
關健詞:煤礦;代謝組學;環境代謝組學;微生物;小分子代謝物
中圖分類號:R313" " " 文獻標志碼:A" " " " " 文章編號:2095-2945(2024)33-0091-05
Abstract: Non-targeted metabolite analysis was carried out on three types of coal mine ore samples with different gas concentrations collected in Bijie City to understand their distribution, abundance and other information. Three types of coal mine ores with different gas concentrations with similar distances in the city were collected, tested using a chromatograph combined with a mass spectrometer, and the detection data were analyzed. 369 compounds were marked in three types of ore, including amino acids, peptides, and analogues which accounted for 12.97%, a compound not described in the database (not available) accounted for 12.97%, fatty acids and conjugates accounted for 5.48%, making it the top three types of compounds; there are 87 different compounds between low gas coal mines(Ao) and high gas coal mines(Bo), 64 different compounds between low gas coal mines (Ao) and outburst gas coal mines(Co), and 100 different compounds between high gas coal mines (Bo) and outburst gas coal mines(Co). This study systematically observed the biological metabolites of three types of coal mines with different gas concentrations in Bijie City, analyzed the differences and possible reasons between them, and predicted the KEGG signal path to provide reference data for coal mining, disease prevention and control, and bio-related research in mining areas in the region.
Keywords: coal mine; metabolomics; environmental metabolomics; microorganisms; small molecule metabolites
環境代謝組學是一門新興的學科,其主要用于研究和提示環境中天然生存的細胞、組織或生物體內的小分子代謝物及其相互作用,通過對環境樣品的高通量分子檢測和分析,代謝組學能夠提供基于宏數據下關于生理生態學、生態毒理學、疾病學等多學科的豐富信息。目前,基于高效液相色譜儀串聯質譜儀的方式成為代謝組學研究的主流平臺,其原理是將待測樣本均質化處理為流相微粒后,使其在質譜儀中于特定條件下規律涌動,之后與數據庫內的化合物數據作全面對比,從而可以精準測定出樣本內化合物的種類和豐度,對環境生境內的化合物作全面的了解,并對差異環境生境中的物質作分析。……