| 145 | 0 | 141 |
| 下载次数 | 被引频次 | 阅读次数 |
高通量测序技术已广泛应用于淡水、海水等常见水体的生物多样性调查，但其在盐湖浮游生物多样性监测中的应用研究相对缺乏。本研究以新疆巴里坤湖为对象，联合应用高通量测序技术与形态学鉴定技术，对浮游生物多样性进行了比较分析。结果显示：两种方法总计鉴定出10门110属的浮游生物，其中共有鉴定7门14属。在蓝藻门(原核浮游生物)中，通过形态学特征鉴定的物种中66.67%可被16S rDNA测序可检出；而经16S rDNA测序所获得的物种中有89.66%无法依据形态学鉴定方法识别。对于真核浮游生物而言，仅有14.04%的形态学鉴定物种可被18S rDNA测序检出，而18S rDNA测序所获物种中无法通过形态学方法鉴定的占63.64%;但是两种方法在优势物种的鉴定上存在一致性。其中，在浮游生物分类组成和相对丰度鉴定中高通量测序技术具有明显的优势，鉴定效率高、成本低等优点，但也存在部分类群无法鉴定的情况；而形态学鉴定耗时且容易遗漏小型物种。因此，建议采用高通量测序技术与形态学鉴定相结合的方法全面准确地揭示盐湖浮游生物多样性。
Abstract：High-throughput sequencing technology has been widely applied to biodiversity surveys of common water bodies such as freshwater and seawater, but its application in salt lake plankton biodiversity monitoring remains relatively scarce. This study, taking Barkol Lake in Xinjiang as the research object, jointly employed high-throughput sequencing and morphological identification to conduct a comparative analysis of plankton biodiversity. Results showed: both methods collectively identified plankton from 10 phyla and 110 genera, with 7 phyla and 14 genera being commonly identified. For cyanobacteria(prokaryotic plankton), 66.67% of the species identified by morphological characteristics could be detected by 16S rDNA sequencing, while 89.66% of the species obtained through 16S rDNA sequencing could not be identified by morphological methods. For eukaryotic plankton, only 14.04% of the morphologically identified species could be detected by 18S rDNA sequencing, and 63.64% of the species obtained through 18S rDNA sequencing could not be identified morphologically. Both methods showed consistency in identifying dominant species. High-throughput sequencing technology demonstrates clear advantages in plankton taxonomic composition and relative abundance identification, with high efficiency and low cost, though some taxa remain unidentifiable; morphological identification is time-consuming and prone to overlooking small species. Therefore, it is recommended to combine high-throughput sequencing and morphological identification techniques to comprehensively and accurately reveal salt lake plankton biodiversity.
[1] 黄朔，陈远超，李丹洁，等.泸沽湖浮游生物多样性及垂直变化规律研究[J].南方水产科学，2022,18(1):22-32.
[2] 孔凡晶，郑绵平，张洪霞，等.盐湖农业及其发展战略研究[J].中国工程科学，2019,21(1):148-152.
[3] WAYNE A,WURTSBAUGH C M,SARAH S,et al.Decline of the world’s saline lakes[J].Nature geoscience,2017,10(11):816-821.
[4] SáNCHEZ M I,PAREDES I,LEBOUVIER M,et al.Functional role of native and invasive filter-feeders,and the effect of parasites:learning from hypersaline ecosystems[J/OL].PLoS One,2016,11(8):e0161478[2023-03-13].https://doi.org/10.1371/journal.pone.0161478.
[5] ZHANG S Y,YAN Q,ZHAO J D,et al.Distinct multitrophic biodiversity composition and community organization in a freshwater lake and a hypersaline lake on the Tibetan Plateau[J/OL].iScience,2024,27(6):110124[2024-05-12].https://doi.org/10.1016/j.isci.2024.110124.
[6] HE L W,ZHANG L J,YANG J H,et al.Monitoring of plankton diversity in Dianchi Lake by environmental DNA technology[J/OL].IOP Conference Series:earth and environmental science,2021,651(4):042023[2024-03-11].https://doi.org/10.1088/1755-1315/651/4/042023.
[7] PINEDA A,PELáEZ ó,DIAS J D,et al.The EI Niňo Southern Oscillation (ENSO) is the main source of variation for the gamma diversity of plankton communities in subtropical shallow lakes[J/OL].Aquatic sciences,2019,81(3):49[2023-12-21].https://doi.org/10.1007/s00027-019-0646-z.
[8] 史楠楠.巴里坤湖浮游生物多样性研究[D].阿拉尔：塔里木大学，2022.
[9] 韩进军，陈亮，王建萍，等.近44年我国盐湖面积变化及其影响因素研究[J].盐湖研究，2025,33(2):35-46.
[10] BROWN P D,CRAINE J M,RICHARDS D,et al.DNA metabarcoding of the phytoplankton of Great Salt Lake’s Gilbert Bay:spatiotemporal assemblage changes and comparisons to microscopy[J].Journal of great lakes research,2022,48(1):110-124.
[11] SACCò M,WHITE N E,HARROD C,et al.Salt to conserve:a review on the ecology and preservation of hypersaline ecosystems[J].Biological reviews,2021,96(6):2828-2850.
[12] 周志希，唐汇娟，柯志新，等.基于形态学和高通量测序的春季南澳海域浮游植物群落特征及其与环境因子关系[J].热带海洋学报，2025,44(1):53-65.
[13] MANOYLOV K M.Taxonomic identification of algae (morphological and molecular):species concepts,methodologies,and their implications for ecological bioassessment[J].Journal of phycology,2014,50(3):409-424.
[14] ZHAN A B,MARTIN H,FRANCISCO S,et al.High sensitivity of 454 pyrosequencing for detection of rare species in aquatic communities.Methods in ecology and evolution,2013,4(6):558-565.
[15] 张金勇，高养春，AMIR S R M S,等.基于高通量测序和形态学鉴定的马来西亚马塘红树林区浮游动物多样性分析[J].大连海洋大学学报，2021,36(6):910-919.
[16] 刘静，王智超，刘昌财，等.基于线粒体COⅠ基因和ITS1基因的新疆主要孤雌生殖卤虫群体的遗传多样性分析[J].塔里木大学学报，2025,37(1):11-18.
[17] GAO Y C,DONG Y H,LI H T,et al.Influence of environmental factors on spatial-temporal distribution patterns of dinoflagellate cyst communities in the South China Sea[J].Marine biodiversity,2019,49(2):769-781.
[18] 訾方泽，葛建民，王新月，等.新疆上游水库浮游植物群落结构与环境因子关系[J].塔里木大学学报，2024,36(1) :84-92.
[19] 张政.基于形态学与宏条形码技术的近海浮游生物群落分布及影响机制研究[D].济南：山东大学，2023.
[20] ABAD D,ALBAINA A,AGUIRRE M,et al.Is metabarcoding suitable for estuarine plankton monitoring?A comparative study with microscopy[J/OL].Marine biology,2016,163(7):149[2024-02-13].https://doi.org/10.1007/s00227-016-2920-0.
[21] 刘卫东，宋伦，吴景.环境样本中微型和微微型浮游植物高通量测序的引物优化[J].生态学报，2017,37(12):4208-4216.
[22] 全国海洋标准化技术委员会(SAC/TC 283).海洋监测规范第7部分：近海污染生态调查和生物监测：GB 17378.7—2007[S].北京：中国标准出版社，2007.
[23] 胡鸿钧，魏印心.中国淡水藻类：系统、分类及生态[M].北京：科学出版社，2006.
[24] 郭玉洁.中国海藻志[M].北京：科学出版社，2003.
[25] 赵文，殷旭旺，张鹏，等.中国盐湖生态学[M].北京：科学出版社，2010.
[26] 周凤霞，陈剑虹.淡水微型生物与底栖动物图谱[M].2版.北京：化学工业出版社，2011.
[27] 赵文.水生生物学[M].2版.北京：中国农业出版社，2016.
[28] LAMPITT R S,WISHNER K F,TURLEY C M,et al.Marine snow studies in the Northeast Atlantic Ocean:distribution,composition and role as a food source for migrating plankton[J].Marine biology,1993,116(4):689-702.
[29] SHANNON C E.A mathematical theory of communication[J].Bell system technical journal,1948,27(3):379-423.
[30] LEVINS R.An introduction to mathematical ecology[J/OL].Evolution,1970,24(2):482.[2023-12-23].https://doi.org/10.1111/j.1558-5664.970.tb01782.X.
[31] DE VARGAS C,AUDIC S,HENRY N,et al.Eukaryotic plankton diversity in the sunlit ocean[J/OL].Science,2015,348(6237):1261605[2023-12-25].https://doi.org/10.1126/science.1261605.
[32] 吴转璋，朱超，唐萍，等.巢湖湖区浮游植物群落与水质因子相关性分析[J].生物学杂志，2023,40(1):79-84.
[33] AKCAALAN R,OZBAYRAM E G,KALELI A,et al.Does environmental DNA reflect the actual phytoplankton diversity in the aquatic environment?Case study of marine mucilage in the Sea of Marmara[J].Environmental science and pollution research international,2023,30(28):72821-72831.
[34] 李文杰，彭志豪，万宇，等.长江上游新型人工鱼礁的浮游生物富集效果[J].生态与农村环境学报，2024,40(12) :1613-1623.
[35] 张丽娟，徐杉，赵峥，等.环境DNA宏条形码监测湖泊真核浮游植物的精准性[J].环境科学，2021,42(2):796-807.
[36] OBERTEGGER U,PINDO M,FLAIM G.Do inferences about freshwater phytoplankton communities change when based on microscopy or high-throughput sequencing data?[J].Freshwater biology,2021,66(4):640-655.
[37] 郭瑞军.基于形态学和高通量测序技术对嘉陵江(凤县段)硅藻多样性的研究[D].杨凌：西北农林科技大学，2017.
[38] LI X R,WARREN A,JIAO N Z,et al.Distribution of Protists in the Deep South China Sea revealed by high-throughput sequencing[J].Journal of ocean university of China,2020,19(1):161-170.
[39] LIU Q,ZHAO Q N,MCMINN A,et al.Planktonic microbial eukaryotes in polar surface waters:recent advances in high-throughput sequencing[J].Marine life science & technology,2020,3(1):94-102.
[40] 乔玲，常志强，李健，等.基于形态学和高通量测序的海水池塘生态养殖系统中浮游植物多样性比较[J].渔业科学进展，2022,43(2):32-43.
[41] 黄进，赵海军，朱静亚，等.基于高通量测序的鸭河口水库微型浮游生物群落分析[J].南阳师范学院学报，2017,16(3):22-27.
[42] MURRAY D C,BUNCE M,CANNELL B L,et al.DNA-based faecal dietary analysis:a comparison of qPCR and high throughput sequencing approaches[J/OL].PLoS One,2011,6(10):e25776[2024-04-18].https://doi.org/10.1371/journal.pone.0025776.
[43] 赵丽娜.应用DNA复合条形码技术研究三门峡水库浮游动物多样性[D].西安：陕西师范大学，2019.
[44] 李杰，杨婧，黄原.应用DNA复合条形码技术研究秦岭水生动物多样性[J].生态学报，2016,36(19):6103-6112.
[45] ?IMUNOVI■ M,KULA? A,?UTINI■,et al.Phytoplankton diversity of a natural Karst Lake combining morphological and molecular approaches[J/OL].Water,2023,15(7):1379[2024-03-25].https://doi.org/10.3390/w15071379.
基本信息:
中图分类号:Q178
引用信息:
[1]刘昌财,韩家难,王智超,等.基于形态学和高通量测序技术的巴里坤湖浮游生物多样性比较研究[J].塔里木大学学报,2025,37(05):9-18.
基金信息:
国家自然科学基金地区科学基金项目(32260299)