Dynamics and scale variations of blooms of Phaeocystis globosa "giant colony" ecotype and key environmental factors in the Beibu Gulf, China.

The Beibu Gulf has experienced blooms of Phaeocystis globosa "giant colony" ecotype (PGGCE), with noticeable variations in bloom scale across years. However, driving environmental factors and their roles remain poorly understood. In this study, we quantified dynamics of PGGCE cells in 2016-2017 and 2018-2019, and analyzed their correlations with environment factors. The results revealed that PGGCE blooms primarily occurred in Guangxi coast and western waters of Leizhou Peninsula during winter months, exhibiting distinct developmental processes. Bloom intensity, duration, and distribution differed significantly between two bloom events. In 2016-2017, peak PGGCE density exceeded 2.0 × 105 cells L-1 nearly double that of 2018-2019. Furthermore, bloom sustained five months during 2016-2017, compared to three months during 2018-2019. Prolonged period of low temperatures and elevated nitrate concentrations favored PGGCE growth and colony formation, resulting in a larger scale bloom during winter 2016 as opposed to winter 2018.

Influence of acidic metabolic environment on differentiation of stem cell-derived cardiomyocytes.

Stem cell-based myocardial regeneration is a frontier topic in the treatment of myocardial infarction. Manipulating the metabolic microenvironment of stem cells can influence their differentiation into cardiomyocytes, which have promising clinical applications. pH is an important indicator of the metabolic environment during cardiomyocyte development. And lactate, as one of the main acidic metabolites, is a major regulator of the acidic metabolic environment during early cardiomyocyte development. Here, we summarize the progress of research into the influence of pH value and lactate on cardiomyocyte survival and differentiation, as well as related mechanisms.

Improving fine-mapping by modeling infinitesimal effects.

Fine-mapping aims to identify causal genetic variants for phenotypes. Bayesian fine-mapping algorithms (for example, SuSiE, FINEMAP, ABF and COJO-ABF) are widely used, but assessing posterior probability calibration remains challenging in real data, where model misspecification probably exists, and true causal variants are unknown. We introduce replication failure rate (RFR), a metric to assess fine-mapping consistency by downsampling. SuSiE, FINEMAP and COJO-ABF show high RFR, indicating potential overconfidence in their output. Simulations reveal that nonsparse genetic architecture can lead to miscalibration, while imputation noise, nonuniform distribution of causal variants and quality control filters have minimal impact. Here we present SuSiE-inf and FINEMAP-inf, fine-mapping methods modeling infinitesimal effects alongside fewer larger causal effects. Our methods show improved calibration, RFR and functional enrichment, competitive recall and computational efficiency. Notably, using our methods' posterior effect sizes substantially increases polygenic risk score accuracy over SuSiE and FINEMAP. Our work improves causal variant identification for complex traits, a fundamental goal of human genetics.

Analysis of a child with CLN1 neuronal ceroid lipofuscinosis in conjunct with Hereditary hyperferinemia cataract syndrome / 中华医学遗传学杂志

OBJECTIVE@#To analyze the clinical data and genetic characteristics of a child with CLN1 neuronal ceroid lipofuscinosis in conjunct with Hereditary hyperferritinemia cataract syndrome (HHCS).@*METHODS@#A child who was admitted to the PICU of the First Affiliated Hospital of Zhengzhou University in November 2020 was selected as the study subject. Clinical data of the child was collected. Genetic testing was carried out for the child, and the result was analyzed in the light of literature review to explore the clinical and genetic characteristics to facilitate early identification.@*RESULTS@#The patient, a 3-year-old male, had mainly presented with visual impairment, progressive cognitive and motor regression, and epilepsy. Cranial magnetic resonance imaging revealed deepened sulci in bilateral cerebral hemispheres, and delayed myelination. The activity of palmitoyl protein thioesterase was low (8.4 nmol/g/min, reference range: 132.2 ~ 301.4 nmol/g/min), whilst serum ferritin was increased (2417.70 ng/mL, reference range: 30 ~ 400 ng/ml). Fundoscopy has revealed retinal pigment degeneration. Whole exome sequencing revealed that he has harbored c.280A>C and c.124-124+3delG compound heterozygous variants of the PPT1 gene, which were respectively inherited from his father and mother. Neither variant has been reported previously. The child has also harbored a heterozygous c.-160A>G variant of the FTL gene, which was inherited from his father. Based on the clinical phenotype and results of genetic testing, the child was diagnosed as CLN1 and HHCS.@*CONCLUSION@#The compound heterozygous variants of the PPT1 gene probably underlay the disorders in this child. For children with CLN1 and rapidly progressing visual impairment, ophthalmological examination should be recommended, and detailed family history should be taken For those suspected for HHCS, genetic testing should be performed to confirm the diagnosis.

Advances in Online Detection Technology for Laser Additive Manufacturing: A Review.

In additive manufacturing (AM), the mechanical properties of manufactured parts are often insufficient due to complex defects and residual stresses, limiting their use in high-value or mission-critical applications. Therefore, the research and application of nondestructive testing (NDT) technologies to identify defects in AM are becoming increasingly urgent. This article reviews the recent progress in online detection technologies in AM, a special introduction to the high-speed synchrotron X-ray technology for real-time in situ observation, and analysis of defect formation processes in the past 5 years, and also discusses the latest research efforts involving process monitoring and feedback control algorithms. The formation mechanism of different defects and the influence of process parameters on defect formation, important parameters such as defect spatial resolution, detection speed, and scope of application of common NDT methods, and the defect types, advantages, and disadvantages associated with current online detection methods for monitoring three-dimensional printing processes are summarized. In response to the development requirements of AM technology, the most promising trends in online detection are also prospected. This review aims to serve as a reference and guidance for the work to identify/select the most suitable measurement methods and corresponding control strategy for online detection.

Biomechanical effects of a mandibular advancement device on the periodontal ligament: Based on different bone models.

Obstructive sleep apnea syndrome (OSAS) is recurrent apnoea caused by upper airway obstruction during sleep. In severe cases, OSAS might lead to sudden death. Currently, the mandibular advancement device (MAD) is the preferred product for the treatment of mild to moderate OSAS because of its compliance, portability and low cost. However, many clinical studies have suggested that long-term use of MAD might cause occlusal changes, periodontitis, muscle soreness, and joint damage. In view of the difficulties in the measurement of relevant mechanical factors in vivo, the present work aimed to quantitatively analyze biomechanical mechanisms that might lead to these side effects through computer numerical simulations and a nonhomogeneous alveolar bone model was established to approximate the actual bony features of the jaw in the simulations model. First, a 3D digital model of the teeth, periodontal ligament(PDL), and alveolar bone was created on the basis of computed tomography images and assembled with a 3D model of the MAD. A nonhomogeneous alveolar bone model was created based on computed tomographic images, and the stresses acting on the PDL were computed using the finite element method. The results showed that the nonhomogeneous model could more realistically reflect the mechanical properties of the alveolar bone and obtain the true stresses compared with the homogeneous model, which underestimated the adverse effects of PDL therapy. The numerical simulations in this paper can help doctors make more accurate judgements about MAD treatment from an oral health protection perspective.

Marked shifts of harmful algal blooms in the Bohai Sea linked with combined impacts of environmental changes.

The Bohai Sea, a semi-enclosed inland sea in China and an important mariculture region, has experienced extensive harmful algal blooms (HABs) and their negative impacts for several decades. To investigate the changes of HABs and their potential drivers over time and space, a dataset of 230 HAB events (1952-2017), along with corresponding environmental data (1990-2017) was compiled. The frequency of HAB events in the Bohai Sea has increased over time but plateaued in the last decade, and our analysis showed that history of HABs in the Bohai Sea could be categorized into three periods based on their frequency, scale, and HAB-forming species. The seasonal window of HAB events has started earlier and lasted longer, and the main hotspot has moved from Bohai Bay to coastal waters of Qinhuangdao over time. There were marked shifts in the representative HAB-forming microalgae, from dinoflagellates in the first period (before 2000) to haptophytes in the second period (2000-2009), and pelagophytes in the third period (2009 onwards). These community changes are accompanied by a trend toward diversification of HAB-forming microalgae, decrease in cell-size, and increase in negative impacts. Statistical analyses indicate that long-term changes in HABs in the Bohai Sea are linked with the combined effects of climate change, eutrophication and mariculture development. The results of the present study require to refine future monitoring programs, develop adaptive management strategies and predictive models for HABs in the Bohai Sea.

Exploration of hapten-induced atopic dermatitis murine models for non-clinical pharmacodynamics study of drugs / 药学学报

Atopic dermatitis (AD) is a chronic, relapsing, inflammatory dermatosis with a variety of clinical manifestations and difficult to cure. Currently, many AD drug candidates have entered the research and development pipeline. In order to provide technical specifications for the clinical development of AD drugs, the Center for Drug Evaluation of National Medical Products Administration released the "Technical Guidelines for Clinical Trials of Drugs for AD Treatment" (Draft for Comments) in November 2022. Non-clinical pharmacodynamics evaluation is an important research before the drug enters clinical trials. Oxazolone (OXA)- and 2,4-dinitro-fluorobenzene (DNFB)-induced models are the most popular classical hapten-induced AD murine models, but variations of modeling are existing in the methods from different studies, including sensitization sites, haptens' dosages, the period of challenges, and the skin lesions severity evaluation as well. In this study, the investigation of OXA- and DNFB-induced AD murine models with various conditions of modeling was performed to compare the characteristics of hapten-induced AD murine models in the pathological process and severity according to the appearance of AD patients, and the guidance of pharmacodynamics evaluation of AD-therapeutic drugs in clinical trials as well, which may provide a proposal for AD treatment drug candidates in the non-clinical pharmacodynamics evaluation. All animal experiments were approved by the Animal Care & Welfare Committee of Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College (approval No.: 00007782 and 00007784).

Diagnosis Significance of the Levels of Cytokines IL-6, IL-10 and CXCL-13 in Cerebrospinal Fluid for Central Nervous System Infiltration of Lymphoma / 中国实验血液学杂志

OBJECTIVE@#To evaluate the diagnostic value of the expression levels of cytokines interleukin-6(IL-6), interleukin-10 (IL-10) and chemokine （C-X-C motif） ligand-13 (CXCL-13) in cerebrospinal fluid (CSF) for central nervous system infiltration of lymphoma.@*METHODS@#Forty patients diagnosed as lymphoma or acute lymphoblastic leukemia in General Hospital of Northern Theater Command from July 2020 to July 2021 were collected and recorded their CSF indexes, including pressure, protein, Pandy test, nucleated cell count, glucose and chlorine content in CSF. The levels of cytokines IL-6, IL-10 and CXCL-13 were detected by Enzyme-linked immunosorbent assay.@*RESULTS@#The patients were divided into CNSI (central nervous system infiltration) group and non-CNSI group, the average levels of IL-6, IL-10, CXCL-13 and IL-10/IL-6 ratio in CNSI group were higher than those in non-CNS group, but the difference of IL-10/IL-6 ratio between the two groups was statistically significant (P<0.05). Then the patients were divided into protein elevated(n=14) group and protein normal group(n=26), the levels of IL-6 ［ (5.78±2.69) pg/ ml］ and CXCL-13 ［(0.83±0.59) pg/ml］ in protein elevated group were significantly higher than those in the protein normal group ［IL-6: (2.41±1.16) pg/ml; CXCL-13: (0.38±0.18) pg/ml］ (P<0.05). Further analysis of the expression levels of the cytokines in non-CNSI group (n=32), IL-6, IL-10, CXCL-13 level and IL-10/IL-6 ratio in the protein elevated group (n=12) were higher than those in the protein normal group (n=20), but the difference was not statistically significant.@*CONCLUSION@#The levels of IL-6, IL-10 and CXCL-13 in CSF of lymphoma patients with CNS infiltration were higher than those in non-CNS infiltration group, and those in patients with protein elevated group are higher than those in the protein normal group.

Effect of CDM3 on the co-culture of human induced pluripotent stem cells with matrigel-coated polycaprolactone to make cardiac patch / 中国胸心血管外科临床杂志

@#Objective    To provide experimental data and theoretical support for further studying the maturity of cardiac patches in other in vitro experiments and the safety in other in vivo animal experiments, through standard chemically defined and small molecule-based induction protocol (CDM3) for promoting the differentiation of human induced pluripotent stem cells (hiPSCs) into myocardium, and preliminarily preparing cardiac patches. Methods    After resuscitation, culture and identification of hiPSCs, they were inoculated on the matrigel-coated polycaprolactone (PCL). After 24 hours, the cell growth was observed by DAPI fluorescence under a fluorescence microscope, and the stemness of hiPSCs was identified by OCT4 fluorescence. After fixation, electron microscope scanning was performed to observe the cell morphology on the surface of the patch. On the 1st, 3rd, 5th, and 7th days of culture, the cell viability was determined by CCK-8 method, and the growth curve was drawn to observe the cell growth and proliferation. After co-cultured with matrigel-coated PCL for 24 hours, hiPSCs were divided into a control group and a CDM3 group, and continued to culture for 6 days. On the 8th day, the cell growth was observed by DAPI fluorescence under a fluorescence microscope, and hiPSCs stemness was identified by OCT4 fluorescence, and cTnT and α-actin for cardiomyocyte marker identification. Results    Immunofluorescence of hiPSCs co-cultured with matrigel-coated PCL for 24 hours showed that OCT4 emitted green fluorescence, and hiPSCs remained stemness on matrigel-coated PCL scaffolds. DAPI emitted blue fluorescence: cells grew clonally with uniform cell morphology. Scanning electron microscope showed that hiPSCs adhered and grew on matrigel-coated PCL, the cell outline was clearly visible, and the morphology was normal. The cell viability assay by CCK-8 method showed that hiPSCs proliferated and grew on PCL scaffolds coated with matrigel. After 6 days of culture in the control group and the CDM3 group, immunofluorescence showed that the hiPSCs in the control group highly expressed the stem cell stemness marker OCT4, but did not express the cardiac markers cTnT and α-actin. The CDM3 group obviously expressed the cardiac markers cTnT and α-actin, but did not express the stem cell stemness marker OCT4. Conclusion    hiPSCs can proliferate and grow on matrigel-coated PCL. Under the influence of CDM3, hiPSCs can be differentiated into cardiomyocyte-like cells, and the preliminary preparation of cardiac patch can provide a better treatment method for further clinical treatment of cardiac infarction.

A dynamic-static combination model based on radiomics features for prostate cancer using multiparametric MRI.

Objective. To propose a new dynamic multiparametric magnetic resonance imaging (mpMRI) radiomics method for the detection of prostate cancer (PCa), and establish a combined model using dynamic and static radiomics features based on this method.Approach. A total of 166 patients (82 PCa patients and 84 non-PCa patients) were enrolled in the study, and 31 872 mpMRI images were performed in a radiomics workflow. The whole prostate segmentation and traditional static radiomics features extraction were performed on intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI,bvalue of 10, 50, 100, 150, 200, 400, 600, 800, 1000, 1500 s mm-2respectively), apparent diffusion coefficient (ADC), and T2-weighted imaging (T2WI) sequences respectively. Through the building of eachb-value DWI model and the analysis of the static key radiomics features, three types of dynamic features called standard discrete (SD), parameter (P) and relative change rate (RCR) were constructed. And the b-value parameters used to construct dynamic features were divided into three groups ('Df_', 'Db_' and 'Da_'): the front part (10-200 s mm-2), the back part (400-1500 s mm-2), and all (10-1500 s mm-2) of theb-values set, respectively. Afterwards, the dynamic mpMRI model and combined model construction were constructed, and the PCa discrimination performance of each model was evaluated.Main results.The models based on dynamic features showed good potential for PCa identification. Where, the results of Db_SD, Da_P and Db_P models were encouraging (test cohort AUCs: 90.78%, 87.60%, 86.3%), which was better than the commonly used ADC model (AUC of ADC was 75.48%). Among the combined models, the models using static features of T2WI and dynamic features performed the best. The AUC of Db_SD + T2WI, Db_P + T2WI and Db_RCR + T2WI model was 92.90%, 91.29% and 81.46%.Significance.The dynamic-static combination model based on dynamic mpMRI radiomics method has a good effect on the identification of PCa. This method has broad application prospects in PCa individual diagnosis management.

Experimental Investigation on the Mechanical Performance of Steel-ECC Composite Girders with Corrugated Webs under Negative Moment.

In order to improve the cracking performance in the negative moment region of composite continuous girder bridges with corrugated webs, engineered cementitious composite (ECC) is used instead of conventional normal concrete (NC). Web and concrete types are used as the main research parameters in experiments. The test results indicate that steel-ECC specimens have a higher flexural load capacity and stiffness than steel-NC specimens. The cracks of steel-ECC specimens are characterised by small width and dense distribution. Nonlinear finite element models are established and verified by experimental results. The simulated load-displacement curves are similar to the experimental ones, and the models have a high degree of accuracy. The ECC slab strength, thickness and width are used as parameters for the investigation to analyse the effect of the ECC slab on the flexural bearing capacity of composite girders. Compared with the results of calculations according to the code, the bearing capacity obtained from the parametric analysis is higher. It suggests that the contribution of the ECC slab needs to be considered when calculating the bearing capacity of the steel-ECC composite girder with corrugated webs.

TRACY-WIDOM AT EACH EDGE OF REAL COVARIANCE AND MANOVA ESTIMATORS.

We study the sample covariance matrix for real-valued data with general population covariance, as well as MANOVA-type covariance estimators in variance components models under null hypotheses of global sphericity. In the limit as matrix dimensions increase proportionally, the asymptotic spectra of such estimators may have multiple disjoint intervals of support, possibly intersecting the negative half line. We show that the distribution of the extremal eigenvalue at each regular edge of the support has a GOE Tracy-Widom limit. Our proof extends a comparison argument of Ji Oon Lee and Kevin Schnelli, replacing a continuous Green function flow by a discrete Lindeberg swapping scheme.

Intense blooms of Phaeocystis globosa in the South China Sea are caused by a unique "giant-colony" ecotype.

The haptophyte Phaeocystis globosa, an important causative agent of harmful algal blooms globally, exhibits varying morphological and physiological features and high genetic diversity, yet the relationship among these has never been elucidated. In this study, colony sizes and pigment profiles of 19 P. globosa isolates from the Pacific and Atlantic Oceans were determined. Genetic divergence of these strains was analyzed using the chloroplast rbcS-rpl27 intergenic spacer, a novel high-resolution molecular marker. Strains could be divided into four genetic clades based on these sequences, or two groups based on colony size and the identity of diagnostic pigments (19'-hexanoyloxyfucoxanthin, hex-fuco, and 19'-butanoyloxyfucoxanthin, but-fuco). Three strains from the South China Sea (SCS), all belonging to the same genetic clade, have unique biological features in forming giant colonies and possessing but-fuco as their diagnostic pigment. Based on these findings, we propose that these SCS strains should be a unique "giant-colony" ecotype of P. globosa. During the period 2016-2021, more than 1000 rbcS-rpl27 sequences were obtained from 16 P. globosa colony samples and 18 phytoplankton samples containing solitary P. globosa cells in the SCS. Phylogenetic analysis indicated that >95% of the sequences from P. globosa colonies in the SCS were comprised of the "giant-colony" ecotype, whereas the genetic diversity of solitary cells was much higher. Results demonstrated that intense blooms of P. globosa featuring giant colonies in the SCS were mainly caused by this giant-colony P. globosa ecotype.

First record of a Takayama bloom in Haizhou Bay in response to dissolved organic nitrogen and phosphorus.

Since 1990s, harmful algal blooms (HABs) of Kareniaceae, primarily caused by species of Karenia and Karlodinium and rarely by Takayama species, have been substantially increasing in frequency and duration in the coastal waters of China. In this study, we recorded a bloom of high abundance of T. acrotrocha in the Haizhou Bay, the Yellow Sea in September 2020, which is the first record of a Takayama bloom in the temperate coastal waters of China. We found that high concentrations of DON and DOP accelerated the proliferation of T. acrotrocha in the Haizhou Bay. Intensive mariculture, and terrestrial nitrogen and phosphorus input may be responsible for the eutrophication in the Haizhou Bay featuring high concentrations of DON and DOP, and high DIN/DIP ratios. The results suggested that, under ocean warming, the HABs of Kareniaceae are becoming increasingly dominant in eutrophic temperate coasts with intensive mariculture activities.

Acoustic Bioprinting of Patient-Derived Organoids for Predicting Cancer Therapy Responses.

Cancer models, which are biologically representative of patient tumors, can predict the treatment responses and help determine the most appropriate cancer treatment for individual patients. Here, a point-of-care testing system called acoustically bioprinted patient-derived microtissues (PDMs) that can model cancer invasion and predict treatment response in individual patients with colorectal cancer (CRC), is reported. The PDMs are composed of patient-derived colorectal tumors and healthy organoids which can be precisely arranged by acoustic bioprinting approach for recapulating primary tissue's architecture. Particularly, these tumor organoids can be efficiently generated and can apprehend histological, genomic, and phenotypical characteristics of primary tumors. Consequently, these PDMs allow physiologically relevant in vitro drug (5-fluorouracil) screens, thus predicting the paired patient's responses to chemotherapy. A correlation between organoid invasion speed and normalized spreading speed of the paired patients is further established. It provides a quantitative indicator to help doctors make better decisions on ultimate anus-preserving operation for extremely low CRC patients. Thus, by combing acoustic bioprinting and organoid cultures, this method may open an avenue to establish complex 3D tissue models for precision and personalized medicine.

Multiplexed measurement of binding- and neutralizing antibodies to SARS-CoV-2 variants in 12.000 post-vaccine sera

Diagnostic assays currently used to monitor the efficacy of COVID-19 vaccines measure levels of antibodies to the receptor-binding domain of ancestral SARS-CoV-2 (RBDwt). However, the predictive value for protection against new variants of concern (VOCs) has not been firmly established. Here, we used bead-based arrays and flow cytometry to measure binding of antibodies to spike proteins and receptor-binding domains (RBDs) from VOCs in 12,000 sera. Effects of sera on RBD-ACE2 interactions were measured as a proxy for neutralizing antibodies. The samples were obtained from healthy individuals or patients on immunosuppressive therapy who had received two to four doses of COVID-19 vaccines and from COVID-19 convalescents. The results show that anti-RBDwt titers correlate with the levels of binding- and neutralizing antibodies against the Alpha, Beta, Gamma, Delta, Epsilon and Omicron variants. The benefit of multiplexed analysis lies in the ability to measure a wide range of anti-RBD titers using a single dilution of serum for each assay. The reactivity patterns also yield an internal reference for neutralizing activity and binding antibody units per milliliter (BAU/ml). Results obtained with sera from vaccinated healthy individuals and patients confirmed and extended results from previous studies on time-dependent waning of antibody levels and effects of immunosuppressive agents. We conclude that anti-RBDwt titers correlate with levels of neutralizing antibodies against VOCs and propose that our method may be implemented to enhance the precision and throughput of immunomonitoring.

Modeling cancer metastasis using acoustically bio-printed patient-derived 3D tumor microtissues.

Cancer metastasis causes most cancer-related deaths, and modeling cancer invasion holds potential in drug discovery and companion diagnostics. Although 2D cocultures have been developed to study cancer invasion, it is challenging to recreate the 3D cancer invasion of an individual cancer patient. Here, we report an acoustic bioprinting technology that can precisely construct tumor microtissues for modeling cancer invasion in 3D. By using acoustic droplet technology, we can precisely encapsulate cancer associated fibroblasts (CAFs) derived from a colorectal cancer patient into gel droplets and print them into a 3D CAF microtissue. After depositing a tumor organoid derived from the same patient, our 3D bio-printed microtissue can be used to model cancer cell migration and invasion from the tumor organoid to the 3D CAF microtissue. We further used 3D bio-printed microtissues to investigate cancer invasion dynamics as well as their treatment response using time-lapse imaging. Thus, our acoustic 3D bioprinting technology can be widely used for establishing various microtissues for modeling cancer invasion and other diseases, highlighting its potential in personalized treatment.

Green Tides in the Yellow Sea Promoted the Proliferation of Pelagophyte Aureococcus anophagefferens.

Harmful algal blooms formed by fast-growing, ephemeral macroalgae have expanded worldwide, yet there is limited knowledge of their potential ecological consequences. Here, we select intense green tides formed by Ulva prolifera in the Yellow Sea, China, to examine the ecological consequences of these blooms. Using 28-isofucosterol in the surface sediment as a biomarker of green algae, we identified the settlement region of massive floating green algae in the area southeast of the Shandong Peninsula in the southern Yellow Sea. The responses of the phytoplankton assemblage from the deep chlorophyll-a maximum layer were then resolved using high-throughput sequencing. We found striking changes in the phytoplankton community in the settlement region after an intensive green tide in 2016, characterized by a remarkable increase in the abundance of the pelagophyte Aureococcus anophagefferens, the causative species of ecosystem disruptive brown tides. Our study strongly suggests that the occurrence of massive macroalgal blooms may promote blooms of specific groups of microalgae through alteration of the marine environment.