Article(id=1238813324108952201, tenantId=1146029695717560320, journalId=1192105938417971205, issueId=1238813307784712441, articleNumber=null, orderNo=null, doi=10.13343/j.cnki.wsxb.20250586, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1753718400000, receivedDateStr=2025-07-29, revisedDate=null, revisedDateStr=null, acceptedDate=1765296000000, acceptedDateStr=2025-12-10, onlineDate=1773285712505, onlineDateStr=2026-03-12, pubDate=1772553600000, pubDateStr=2026-03-04, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773285712505, onlineIssueDateStr=2026-03-12, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773285712505, creator=13701087609, updateTime=1773285712505, updator=13701087609, issue=Issue{id=1238813307784712441, tenantId=1146029695717560320, journalId=1192105938417971205, year='2026', volume='66', issue='3', pageStart='961', pageEnd='1466', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773285708614, creator=13701087609, updateTime=1773291912509, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1238839328915378858, tenantId=1146029695717560320, journalId=1192105938417971205, issueId=1238813307784712441, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1238839328915378859, tenantId=1146029695717560320, journalId=1192105938417971205, issueId=1238813307784712441, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1412, endPage=1425, ext={EN=ArticleExt(id=1238813325828616883, articleId=1238813324108952201, tenantId=1146029695717560320, journalId=1192105938417971205, language=EN, title=Application of fluorescence-activated cell sorting in the study of functional groups of microalgae, columnId=1194702985843413943, journalTitle=Acta Microbiologica Sinica, columnName=Technology and Method, runingTitle=null, highlight=null, articleAbstract=
Objective Mixotrophy that combines phototrophic autotrophy and phagotrophic heterotrophy is widespread among unicellular eukaryotic microalgae and plays a key ecological role in energy flow within food webs and in elemental biogeochemical cycles. However, identifying and characterizing mixotrophic microalgae in natural waters remains technically challenging. Improving current approaches to accurately reveal the diversity of mixotrophic microalgae is an urgent task in this field. Methods Fluorescently labeled prey surrogates and feeding experiments were employed to trace phagotrophic microalgae within plankton communities. Target organisms were captured at the single-cell level through fluorescence-activated cell sorting (FACS), followed by multiple-displacement amplification (MDA) and 18S rRNA gene sequencing for taxonomic identification. On the basis of this FACS-MDA workflow, we established a methodological framework for studying the functional groups of microalgae. Results Applying this approach to multiple freshwater and seawater samples from China, we identified twenty phagotrophic microalgal species belonging to six classes and twelve genera, as well as heterotrophic consumers representing one class and three genera, demonstrating the robustness and broad applicability of this method. Conclusion This study applies the combined FACS-MDA technology to the identification of functional groups of microalgae in natural water bodies. The established technology has broad application prospects in microbial ecology. It enables deeper insights into the functional diversity and in situ feeding activities of environmental microalgae.
, correspAuthors=Haixia JIANG, authorNote=null, correspAuthorsNote=
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#These authors contributed equally to this work.
, authorsList=Ying WANG, Qian LI, Jie XU, Wei SUN, Haixia JIANG), CN=ArticleExt(id=1238813326810084125, articleId=1238813324108952201, tenantId=1146029695717560320, journalId=1192105938417971205, language=CN, title=荧光激活单细胞分选技术在微藻功能类群研究中的应用, columnId=1194702986061517752, journalTitle=微生物学报, columnName=技术与方法, runingTitle=null, highlight=null, articleAbstract=
目的 兼具光合与摄食功能的混合营养策略在单细胞真核微藻中广泛存在,其在食物网能量流动以及元素生物地球化学循环中发挥着重要作用。研究自然水体中混养微藻的种类构成存在技术难题,因此提升现有手段以准确揭示其多样性是该领域亟待解决的科学问题。 方法 通过添加荧光猎物标记物并开展摄食实验,追踪群落中的摄食型微藻;利用荧光激活流式细胞分选技术在单细胞水平上捕捉目标生物,结合基因组扩增与18S rRNA基因鉴定其物种,最终建立了一种单细胞分选与基因组扩增相结合的FACS-MDA联用方法。 结果 利用该方法检测了来自我国淡水与海水环境中多个样品的混养微藻,获取了隶属于6纲12属的20个摄食型微藻物种,以及1纲3属的异养摄食者,证实了该方法的有效性。 结论 本研究将FACS-MDA联用技术应用于天然水体微藻功能群鉴定,所建立的荧光激活分选和单细胞测序技术在微生物生态学领域具有广泛的应用前景,有助于加深对环境微藻功能类群及其原位摄食活动的认知。
, correspAuthors=蒋海霞, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=RUBdClqz2viZ5ufezhhRMQ==, magXml=45oRnhv0xVWqE6fUBnnX8Q==, pdfUrl=null, pdf=0iBF7Gf8dPu8nk44cCEedA==, pdfFileSize=1812974, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=5eg29bxT97mUdq9lnqq55A==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=vfReX+HepvSTHjI4RZLrhw==, mapNumber=null, authorCompany=null, fund=null, authors=
作者贡献声明
王莹:采样,完成实验;李倩:项目提出,设计实验,数据收集与分析,文章写作与修订;许杰:项目审阅,提供资源;孙伟:提供资源,文章审阅;蒋海霞:完成荧光激活单细胞分选实验,文章审阅与修订。
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2.上海交通大学 生命科学技术学院,仪器共享与技术服务平台,上海)])], figs=[ArticleFig(id=1238891101566849571, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1238813324108952201, language=EN, label=Figure 1, caption=
Gating based on pure culture algal strains and fluorescent microsphere control groups, as well as defining the threshold of fluorescent signals. A-B: Gating of positive chlorophyll fluorescence signal of PerCP-Cy5.5-A (shaded area) using algal cultures of Prymnesium parvum (A) and Amphidinium carterae (B); C: Gating of positive prey fluorescence of FITC (shaded area) using 1.0 μm green fluorescence beads (The small boxes on the left-bottom corner of each panel denote noises); D-F: Fluorescent microscopic images demonstrate the fluorescent intensity of the algae and fluorescent beads used for the gating in panel A-C (Note that panel F is a mixture of 1.0 μm and 0.5 μm-sized beads; The shaded areas in panels A-C represent positive PerCP-Cy5.5 and FITC fluorescent signals, used to distinguish populations of microalgae and fluorescent beads, respectively). All scale bars in D-F are 5 μm., figureFileSmall=J+3IOyUrKsIlfv0MkQXtZQ==, figureFileBig=J6iIVcov1ftUnnDpzfMdBw==, tableContent=null), ArticleFig(id=1238891101751398960, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1238813324108952201, language=CN, label=图1, caption=
基于纯培养藻株和荧光微球对照组圈门及荧光信号阈值界定, figureFileSmall=J+3IOyUrKsIlfv0MkQXtZQ==, figureFileBig=J6iIVcov1ftUnnDpzfMdBw==, tableContent=null), ArticleFig(id=1238891101927559746, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1238813324108952201, language=EN, label=Figure 2, caption=
Significance analysis of the proportion of mixed microalgae among the three environments based on intergroup t-test (A), and feeding-type microalgal events detected by flow cytometry at different stations (B-I). A: The averaged value of relative abundance of mixotrophs (mixo, %) across three different environments, including four seasonal samples from the lake, three samples from SCS-inshore, and three samples in SCS-offshore, matching the station classification and values listed in the table in Table 1; B-I: Populations of actively-feeding mixotrophs (blue boxes with blue dots) across the lake (B-C), SCS-inshore (D-F), and offshore samples (G-I); Note that, to save space, only 8 out of 12 stations/samples are demonstrated; In all flow cytometry graphs, total microaglae populations (euks) identified by flow cytometry were denoted in green dots; Free beads not ingested were color-coded in black dots (prey) and all other events were in grey color (possibly Prochlorococcus in SCS samples and noises in the lake samples). *P<0.05, indicating significant differences., figureFileSmall=XHCRIYCrjvdR5JKxN8cKWw==, figureFileBig=RQHP/RgVoyoK+OhGBz6/8A==, tableContent=null), ArticleFig(id=1238891103454286413, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1238813324108952201, language=CN, label=图2, caption=
混养微藻在三大环境中平均占比水平的显著性差异分析(A),以及流式细胞仪检测的不同站位的摄食型微藻事件(B-I), figureFileSmall=XHCRIYCrjvdR5JKxN8cKWw==, figureFileBig=RQHP/RgVoyoK+OhGBz6/8A==, tableContent=null), ArticleFig(id=1238891103575921238, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1238813324108952201, language=EN, label=Figure 3, caption=
Whole-genome and 18S rRNA gene amplification results from partially sorted microalgal cells (A), and representative evidence of prey ingestion by representative species observed under fluorescence microscopy (B). A: Representative gel images with successful and failed bands amplification from MDA (left-side) and 18S rRNA genes (right-side); B: Fluorescent microscopic images show beads/prey ingestion evidence (indicated by white arrows) of commonly found mixotrophs in the lake samples, including Dinobryon, Cyrptomonas, and Pedinellales; The last two columns indicate total numbers of cells that were successfully sorted and annotated as eukaryotes, as well as the possibility of being a mixotroph based on previous research evidence; Arrows in panel A denote the correct gene sizes in base pairs., figureFileSmall=UbHXnkz5ezO8QtTwiPMenQ==, figureFileBig=/3A2+f0JoUEF2KLKHLgUWw==, tableContent=null), ArticleFig(id=1238891103710138976, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1238813324108952201, language=CN, label=图3, caption=
部分分选微藻细胞全基因组和18S rRNA基因扩增结果(A)以及荧光显微镜下获得的代表物种摄食证据(B), figureFileSmall=UbHXnkz5ezO8QtTwiPMenQ==, figureFileBig=/3A2+f0JoUEF2KLKHLgUWw==, tableContent=null), ArticleFig(id=1238891103844356718, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1238813324108952201, language=EN, label=Table 1, caption=
Station coordinates (latitude and longitude), abundance proportion of mixotrophic microalgae relative to total microalgae, and total microalgal abundance (euks)
, figureFileSmall=null, figureFileBig=null, tableContent=
| Habitat | Station/Season | Latitude (N) | Longitude (E) | Mixo (%) | Euks (cells/mL) |
|---|
| SCS-inshore | SCS-28 | 21.7° | 113.1° | 2 | 2.6×104 |
| SCS-46 | 22.2° | 113.7° | 1 | 5.8×104 |
| SCS-51 | 22.7° | 113.7° | 1 | 2.2×105 |
| Inshore-offshore transit | SCS-36 | 20.7° | 113.4° | 25 | 7.3×104 |
| SCS-J1 | 18.0° | 110.0° | 17 | 1.0×103 |
| SCS-offshore | SCS-J7 | 18.0° | 113.0° | 19 | 2.0×102 |
| SCS-J19 | 18.0° | 119.0° | 33 | 9.3×102 |
| SCS-D40 | 16.0° | 116.0° | 28 | 1.0×103 |
| Lake | Spring | 31.0° | 121.4° | 5 | 2.6×104 |
| Summer | 12 | 6.9×103 |
| Autumn | 1 | 5.2×103 |
| Winter | 22 | 8.8×103 |
), ArticleFig(id=1238891103961797236, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1238813324108952201, language=CN, label=表1, caption=
各站位经纬度信息及混养藻类占比和总微藻丰度
, figureFileSmall=null, figureFileBig=null, tableContent=
| Habitat | Station/Season | Latitude (N) | Longitude (E) | Mixo (%) | Euks (cells/mL) |
|---|
| SCS-inshore | SCS-28 | 21.7° | 113.1° | 2 | 2.6×104 |
| SCS-46 | 22.2° | 113.7° | 1 | 5.8×104 |
| SCS-51 | 22.7° | 113.7° | 1 | 2.2×105 |
| Inshore-offshore transit | SCS-36 | 20.7° | 113.4° | 25 | 7.3×104 |
| SCS-J1 | 18.0° | 110.0° | 17 | 1.0×103 |
| SCS-offshore | SCS-J7 | 18.0° | 113.0° | 19 | 2.0×102 |
| SCS-J19 | 18.0° | 119.0° | 33 | 9.3×102 |
| SCS-D40 | 16.0° | 116.0° | 28 | 1.0×103 |
| Lake | Spring | 31.0° | 121.4° | 5 | 2.6×104 |
| Summer | 12 | 6.9×103 |
| Autumn | 1 | 5.2×103 |
| Winter | 22 | 8.8×103 |
), ArticleFig(id=1238891104070849150, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1238813324108952201, language=EN, label=Table 2, caption=
Taxonomic composition of identified mixotrophic microalgae from seven investigated samples
, figureFileSmall=null, figureFileBig=null, tableContent=
| Class | Genus (species No.) | Environment | Cell No. | Mixotroph |
|---|
| Cryptophyceae | Cryptomonas (3) | SCS-51, lake-autumn | 4 | Yes |
| MAST-3 | Uncultured (1) | SCS-28 | 1 | Maybe |
| Cercozoan | Uncultured (1) | SCS-28 | 1 | Maybe |
| Uncultured (1) | SCS-19 | 1 | Maybe |
| Pelagophyceae | Uncultured (1) | SCS-19 | 1 | Maybe |
| Chrysophyceae | Dinobryon (2) | Lake-winter | 26 | Yes |
| Spiniferomonas (2) | Lake-spring, winter | 3 | Yes |
| Spumella (1) | Lake-autumn | 1 | No |
| Pedospumella (2) | Lake-spring | 16 | No |
| Ochromonas (1) | Lake-autumn | 1 | Yes |
| Paraphysomonas (1) | Lake-spring | 6 | No |
| Uroglenopsis (2) | Lake-spring | 3 | Yes |
| Dinophyceae | Woloszynskia (1) | Lake-autumn | 1 | Yes |
| Perkinsea | Pararosarium (1) | Lake-winter | 10 | Maybe |
| Pedinella (2) | Lake-spring | 3 | Yes |
| Dictyochophyceae | Pseudopedinella (2) | Lake-spring, autumn | 2 | Yes |
| Helicopedinella (1) | Lake-spring | 2 | Yes |
| Kirchneriella (1) | Lake-autumn | 1 | Maybe |
| Monoraphidium (1) | Lake-autumn | 1 | Maybe |
| Chlorophyceae | Choricystis (1) | Lake-spring | 1 | Maybe |
| Minidiscus (1) | SCS-28 | 1 | No |
| Trebouxiophyceae | Mediolabrus (1) | SCS-28 | 2 | No |
| Nitzschia (2) | Lake-autumn | 5 | No |
| Bacillariophyceae | Discostella (1) | SCS-51 | 1 | No |
| Skeletonema (1) | SCS-46, SCS-51 | 4 | No |
| Cyclotella (1) | Lake-autumn | 3 | No |
), ArticleFig(id=1238891104167318158, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1238813324108952201, language=CN, label=表2, caption=
七个环境样品中鉴定出的混养微藻的分类组成
, figureFileSmall=null, figureFileBig=null, tableContent=
| Class | Genus (species No.) | Environment | Cell No. | Mixotroph |
|---|
| Cryptophyceae | Cryptomonas (3) | SCS-51, lake-autumn | 4 | Yes |
| MAST-3 | Uncultured (1) | SCS-28 | 1 | Maybe |
| Cercozoan | Uncultured (1) | SCS-28 | 1 | Maybe |
| Uncultured (1) | SCS-19 | 1 | Maybe |
| Pelagophyceae | Uncultured (1) | SCS-19 | 1 | Maybe |
| Chrysophyceae | Dinobryon (2) | Lake-winter | 26 | Yes |
| Spiniferomonas (2) | Lake-spring, winter | 3 | Yes |
| Spumella (1) | Lake-autumn | 1 | No |
| Pedospumella (2) | Lake-spring | 16 | No |
| Ochromonas (1) | Lake-autumn | 1 | Yes |
| Paraphysomonas (1) | Lake-spring | 6 | No |
| Uroglenopsis (2) | Lake-spring | 3 | Yes |
| Dinophyceae | Woloszynskia (1) | Lake-autumn | 1 | Yes |
| Perkinsea | Pararosarium (1) | Lake-winter | 10 | Maybe |
| Pedinella (2) | Lake-spring | 3 | Yes |
| Dictyochophyceae | Pseudopedinella (2) | Lake-spring, autumn | 2 | Yes |
| Helicopedinella (1) | Lake-spring | 2 | Yes |
| Kirchneriella (1) | Lake-autumn | 1 | Maybe |
| Monoraphidium (1) | Lake-autumn | 1 | Maybe |
| Chlorophyceae | Choricystis (1) | Lake-spring | 1 | Maybe |
| Minidiscus (1) | SCS-28 | 1 | No |
| Trebouxiophyceae | Mediolabrus (1) | SCS-28 | 2 | No |
| Nitzschia (2) | Lake-autumn | 5 | No |
| Bacillariophyceae | Discostella (1) | SCS-51 | 1 | No |
| Skeletonema (1) | SCS-46, SCS-51 | 4 | No |
| Cyclotella (1) | Lake-autumn | 3 | No |
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