黄河内蒙段开河期细菌群落结构特征研究

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (4263 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要为探索黄河内蒙段开河初期水-土介质中细菌群落组成情况及生态网络结构,于2021年4月中旬进行取样,共获得黄河水样6个和土样4个.利用16S rRNA基因高通量测序方法对水、土样品进行测定,并从菌门及菌属水平对二者的细菌群落组成进行了分析.结果显示:河漫滩土样细菌群落结构的分布较水样更为分散,且土样中细菌群落丰富度、均匀度及多样性均高于水体,二者多样性存在显著的组间差异;在菌门水平上,变形菌门、放线菌门和酸杆菌门等是构成水-土样品的优势细菌门类,其中变形菌门在河水中相对丰度均值约为36.57%,在土样中则下降到25.39%,而酸杆菌门主要存在土样中,相对丰度约为14.17%;在菌属水平上, hgcI_clade(6.19%~12.75%)、CL500-29_marine_group(2.97%~5.05%)和Acinetobacter(0.74%~12.24%)是水体中的优势菌属, 而norank_f__norank_o__norank_c__KD4-96 (1.95%~4.91%)、norank_f__norank_o__Vicinamibacterales(2.35%~4.67%)和norank_f__Gemmatimonadaceae (2.20%~ 4.73%)是土样中的优势菌属;不同菌属对水-土细菌群落结构的响应并不一致,其中分别归属于酸杆菌门和芽单胞菌门的norank_f__norank_o__Vicinamibacterales及norank_f__Gemmatimonadaceae等是联系水-土细菌群落的主要菌属,而归属于放线菌门的hgcI_clade和CL500-29_marine_group等是造成水、土优势菌门存在差异的主要菌属;虽然土样较水样拥有更大的生态网络结构,且Delftia、Candidatus_ Methylopumilus、Arthrobacter和Rb41等是维持黄河内蒙段水、土介质生态网络结构的关键菌属,但相较于土样网络结构,水体网络结构中不同模块关键菌门及菌属间的生态功能较为一致.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	史玉娇
	李文宝
	郭鑫

关键词 ：细菌群落, 水土介质, 网络结构, 开河期, 黄河内蒙段

Abstract：In order to explore the bacterial community composition and ecological network structure in the water-soil medium at the beginning of the opening of the Inner Mongolia section of the Yellow River, sampling was carried out in mid-April, 2021, a total of 6 water samples and 4soil samples were obtained from the Yellow River. The samples were measured by 16S rRNA high-throughput sequencing, which analyzed the bacterial community composition of the water and soil samples at the level of phylum and genus. The results showed that: the distribution of soil bacterial community structure was more dispersed than that of water, the abundance, uniformity and diversity of bacterial communities in soil samples were higher than those in water. There were significant inter-group differences in diversity between the two. At the phylum level, Proteobacteria, Actinobacteria and Acidobacteriota were the dominant bacterial phyla in water and soil samples, and the mean relative abundance of Proteobacteria in river was about 36.57%, while that in soil decreased to 25.39%; Acidobacteriota was mainly present in soil with a relative abundance of about 14.17%. At the genus level, hgcI_clade (6.19%~12.75%),CL500-29_marine_group (2.97%~5.05%) and Acinetobacter(0.74%~12.24%) were the dominant genera in water, while norank_f__norank_o__norank_c__KD4-96(1.95%~4.91%), norank_f__norank_o__Vicinamibacterales (2.35%~ 4.67%), and norank_f__ Gemmatimonadaceae (2.20%~4.73%) were the dominant genera in soil. The response of different genera to the community structure of soil and water bacteria was not consistent, among which belonged to the phylum Acidobacteriota and Gemmatimonadota were the main genera linking the soil and water bacterial community, respectively, while hgcI_clade and CL500-29_marine_group belonging to Actinobacteria were the main genera causing the difference of the dominant phylum of soil and water. Although soil had a larger ecological network structure than water, and Delftia, Candidatus_Methylopumilus,Arthrobacter and Rb41 were the key genera that maintained the ecological network structure of the soil-water medium in the Inner Yellow River, the ecological functions of different modules in the network structure of the water were more consistent comparing to soil.

Key words： bacterial community water-soil medium network Structure river opening period Inner Mongolia section of the Yellow River

收稿日期: 2023-07-22

PACS:

X172

基金资助:内蒙古自治区科技重大专项(2020ZD0009);内蒙古自治区自然科学基金资助项目(2021MS05043);内蒙古自治区高等学校“青年科技英才支持计划”项目(NJYT-20-A14);内蒙古自治区科技攻关项目(2020GG0009);国家自然基金资助地区项目(52160021)

作者简介: 史玉娇(1998-),女,内蒙古赤峰人,内蒙古农业大学博士研究生,主要研究方向为区域水文循环及水环境演变.发表论文3篇.shiyujiaoshj@163.com.

引用本文:

史玉娇, 李文宝, 郭鑫. 黄河内蒙段开河期细菌群落结构特征研究[J]. 中国环境科学, 2024, 44(3): 1487-1496. SHI Yu-jiao, LI Wen-bao, GUO Xin. Characterization of bacterial community structure during the opening period of the Yellow River in Inner Mongolia. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(3): 1487-1496.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I3/1487

[1] Ji P, Rhoads W J, Edwards M A, et al. Impact of water heater temperature setting and water use frequency on the building plumbing microbiome[J]. Isme Journal, 2017,11(6):1318-1330.
[2] 邹沈娟,尹立强,赵博礼,等.梁子湖与后官湖浮游细菌的群落结构特征[J]. 水生态学杂志, 2021,42(2):33-41. Zou S J, Yin L Q, Zhao B L, et al. Bacterioplankton Community Structure Characteristic in Liangzi Lake and Houguan Lake, Wuhan[J]. Journal of Hydroecology, 2021,42(2):33-41.
[3] 任丽娟,何聃,邢鹏,等.湖泊水体细菌多样性及其生态功能研究进展[J]. 生物多样性, 2013,21(4):422-433. Ren L J, He D, Xing P, et al. Bacterial diversity and ecological function in lake water bodies[J]. Biodiversity Science, 2013,21(4):422-433.
[4] 尤本胜,马书占,耿梦蝶,等.太湖水体和沉积物细菌群落分布格局及其驱动因素[J]. 湖泊科学, 2023,35(5):1774-1787. You B S, Ma S Z, Geng M D, et al. Distribution patterns and driving factors of bacterial communities in water and sediment of Lake Taihu[J]. Journal of Lake Sciences, 2023:1-15.
[5] 王丹丹,黄跃飞,杨海娇.青藏高原湖泊沉积物与水体细菌群落共发生网络和群落构建过程差异解析[J]. 湖泊科学, 2023,35(3):959- 979. Wang D D, Huang Y F, Yang H J. Differences of bacterial community co-occurrence network and assembly processes between sediment and water inlakes on the Qinghai-Tibet Plateau[J]. Journal of Lake Sciences, 2023,35(3):959-979.
[6] 侯冠群,来剑斌,李静,等.成土时间对黄河三角洲植物及微生物演替的影响[J]. 生态学报, 2022,42(21):8839-8859. Hou G Q, Lai J B, Li J, et al. Driving force of soil age on vegetation and microbial succession in the Yellow River Delta[J]. Acta Ecologica Sinica, 2022,42(21):8839-8859.
[7] 尹霞,许晓晴,王勋功,等.潮汐作用对黄河口滨海浅层地下水细菌群落结构的影响[J]. 海洋环境科学, 2022,41(4):526-533. Yin X, Xu X Q, Wang X G, et al. Tide effects on bacterial community structure in the shallow groundwater from Yellow River Estuary[J]. Marine Environmental Science, 2022,41(4):526-533.
[8] 张邀丹,李志军,李春江,等.黄河内蒙段河冰微结构特性及影响因素分析[J]. 水利学报, 2021,52(12):1418-1429. Zhang Y D, Li Z J, Li C J, et al. Microstructure characteristics of river ice in Inner Mongolia sectionof the Yellow River and its influencing factors[J]. Journal of Hydraulic Engineering, 2021,52(12):1418-1429.
[9] 李国华,李畅游,史小红,等.基于主成分分析及水质标识指数法的黄河托克托段水质评价[J]. 水土保持通报, 2018,38(6):310-314. Li G H, Li C Y, Shi X H, et al. Evaluation of Water Quality of Tokto Section in Yellow River Based on Principal Component Analysis and Water Quality Identification Index[J]. Bulletin of Soil and Water Conservation, 2018,38(6):310-314.
[10] 王国庆,乔翠平,刘铭璐,等.气候变化下黄河流域未来水资源趋势分析[J]. 水利水运工程学报, 2020,(2):1-8. Wang G Q, Qiao C P, Liu M L, et al. The future water resources regime of the Yellow River basin in the context of climate change[J]. Hydro-science and Engineering, 2020,(2):1-8.
[11] 张新平,权全.基于Landsat时序影像和非线性边界监测土壤干旱研究——以1986~2020年黄河内蒙古段生长季为例[J]. 水利水运工程学报, 2022,(2):126-134. Zhang X P, Quan Q. Soil drought monitoring based on Landsat time-series images and nonlinear edges:A case study of the growing season in Inner Mongolia section of the Yellow River from 1986 to 2020[J]. Hydro-science and Engineering, 2022,(2):126-134.
[12] Saranya, Kanukollu, Bernd, et al. Distinct compositions of free-living, particle-associated and benthic communities of the Roseobacter group in the North Sea[J]. FEMS Microbiology Ecology, 2016,92(1):1-11.
[13] 杜蕾,李文宝,杨旭,等.达里诺尔湖夏季水体浮游细菌群落垂向变化特征差异[J]. 地球科学, 2020,45(5):1818-1829. Du L, Li W B, Yang X, et al. Vertical Changes of Planktonic Bacteria Community and Predictive Functional Analysis in Summer Dali-Nor Lake[J]. Earth Science, 2020,45(5):1818-1829.
[14] Chen S, Zhou Y Q, Chen Y, et al. fastp:an ultra-fast all-in-one FASTQ preprocessor[J]. Bioinformatics, 2018,34(17):884-890.
[15] Mago T, Salzberg S L. FLASH:fast length adjustment of short reads to improve genome assemblies[J]. Bioinformatics, 2011,27(21):2957- 2963.
[16] Edgar R C. UPARSE:highly accurate OTU sequences from microbial amplicon reads[J]. Nat Methods, 2013,10(10):996-998.
[17] Zhou L, Wang P, Huang S, et al. Environmental filtering dominates bacterioplankton community assembly in a highly urbanized estuarine ecosystem[J]. Environmental Research, 2021,196(1),doi:10.1016/j.envres.2021.110934.
[18] Chao A N. Nonparametric estimation of the number of classes in a population[J]. Scandinavian Journal of Statistics, 1984,11(4):265- 270.
[19] Matthew R, Brian F, Min S, et al. Disruption of the microbiota across multiple body sites in critically ill children[J]. 2016,4:66.doi:10. 1186/s40168-016-0211-0.
[20] Kirchman D, Ai D, Findlay S, et al. Changes in bacterial activity and community structure in response to dissolved organic matter in the Hudson River, New York[J]. Aquatic Microbial Ecology, 2004,35(3):243-257.
[21] 魏志文,李韵雅,江威,等.无锡地区常见树木根际土壤酸杆菌多样性[J]. 生态学杂志, 2018,37(9):2649-2656. Wei Z W, Li Y Y, Jiang W, et al. Diversity of Acidobacteria in rhizosphere soils of common trees in Wuxi[J]. Chinese Journal of Ecology, 2018,37(9):2649-2656.
[22] 于国卿,李书霞,田治宗.黄河头道拐站开河日期预测的LSSVM方法[J]. 南水北调与水利科技, 2013,11(5):150-154. Yu G Q, Li S X, Tian Z Z. The LSSVM Method to Forecast the Break-up Date of the TouDaoguai Station along the Yellow River[J]. South-to-North Water Transfers and Water Science & Technology, 2013,11(5):150-154.
[23] 张雨晴,邵克强,胡洋,等.岱海水体及沉积物细菌多样性及群落组成特征[J]. 湖泊科学, 2022,34(6):2070-2082. Zhang Y Q, Shao K Q, Hu Y, et al. Bacterial diversity and community composition in lake water and sediment of Lake Daihai[J]. Journal of Lake Sciences, 2022,34(6):2070-2082.
[24] Wang P, Zhao J, Xiao H, et al. Bacterial community composition shaped by water chemistry and geographic distance in an anthropogenically disturbed river[J]. Science of the Total Environment, 2019,655:61-69.
[25] 史玉娇,李文宝,张博尧,等.河套平原灌溉间期乌梁素海水体细菌群落结构特征[J]. 环境科学, 2022,43(3):1424-1433. Shi Y J, Li W B, Zhang B Y, et al. Characteristics of Bacterial Community Structure in Wuliangsu Lake During Irrigation Interval in Hetao Plain[J]. Environmental Science, 2022,43(3):1424-1433.
[26] 王晓丽,包华影,郭博书.黄河上中游沉积物理化特征及磷赋存形态研究[J]. 环境科学, 2009,30(3):720-725. Wang X L, Bao H Y, Guo B S. Physica-l Chemical Characteristics and Phosphorus Speciation of the Sediments inthe Upper and Middle Reaches of the Yellow River[J]. Environmental Science, 2009,30(3):720-725.
[27] 张伟,王敏,郭逍宇.典型城市河流上覆水和沉积物细菌群落特征分析[J]. 中国环境科学, 2023,43(7):3688-3695. Zhang W, Wang M, Guo X Y. Characteristic analysis of bacterial community in water and sediment in typical urban rivers[J]. China Environmental Science, 2023,43(7):3688-3695.
[28] Lacombe-Harvey M V, Brzezinski R, Beaulieu C. Chitinolytic functions in actinobacteria:ecology, enzymes, and evolution[J]. Applied Microbiology and Biotechnology, 2018,102(17).doi:10.1007/s00253-018-9149-4.
[29] 鲜文东,张潇橦,李文均.绿弯菌的研究现状及展望[J]. 微生物学报, 2020,60(9):1801-1820. Xian W D, Zhang X T, Li W J, et al. Research status and prospect on bacterial phylum Chloroflexi[J]. Acta Microbiologica Sinica, 2020, 60(9):1801-1820.