Visualization of Literature Information on Postmortem Interval Estimation Indexed by CNKI Database from 1990 to 2020.

Objectives: To explore the development process of the postmortem interval (PMI) research in China from January 1990 to August 2020, research hotspots in different periods, authors and cooperation between institutions, and to provide a reference for the better development of PMI inference research through the visualization of the literature information of the PMI estimation research indexed in China National Knowledge Infrastructure (CNKI).

Methods: The information visualization analysis software CiteSpace 5.7.

High throughput sequencing of 18S rRNA and its gene to characterize a Prorocentrum shikokuense (Dinophyceae) bloom.

Comparing phytoplankton non-bloom and bloom communities using rRNA and its coding gene can help understand the shift of dominant species and its driving processes (e.g., intrinsic growth or grazing).

Metatranscriptomic Signatures Associated With Phytoplankton Regime Shift From Diatom Dominance to a Dinoflagellate Bloom.

Diatoms and dinoflagellates dominate coastal marine phytoplankton communities as major players of marine biogeochemical cycles and their seasonal succession often leads to harmful algal blooms (HABs). What regulates their respective dominances and the development of the HABs remains elusive. Here we conducted time-sequential metatranscriptomic profiling on a natural assemblage that evolved from diatom dominance to a dinoflagellate bloom to interrogate the underlying major metabolic and ecological drivers.

Metatranscriptome analysis reveals environmental and diel regulation of a Heterosigma akashiwo (raphidophyceae) bloom.

Despite numerous laboratory studies on physiologies of harmful algal bloom (HAB) species, physiologies of these algae during a natural bloom are understudied. Here, we investigated a bloom of the raphidophyte Heterosigma akashiwo in the East China Sea in 2014 using metabarcode (18S rDNA) and metatranscriptome sequencing. Based on 18S rDNA analyses, the phytoplankton community shifted from high diversity in the pre-bloom stage to H.

Glyphosate Shapes a Dinoflagellate-Associated Bacterial Community While Supporting Algal Growth as Sole Phosphorus Source.

Glyphosate is a widely used herbicide that can potentially be a phosphorus (P) source for phytoplankton and microbes when discharged into the coastal ocean. In contrast to bacteria, few eukaryotic phytoplankton species appear capable of directly utilizing glyphosate. In this study, we observed, after a long delay (>60 days), , a dinoflagellate known to cause major harmful algal blooms in the East China Sea, could grow in a medium with glyphosate as the sole P source; suggesting that growth was through bacterial mediation.

Transcriptomic and physiological analyses of the dinoflagellate Karenia mikimotoi reveal non-alkaline phosphatase-based molecular machinery of ATP utilisation.

The ability to utilize dissolved organic phosphorus (DOP) is important for phytoplankton to survive the scarcity of dissolved inorganic phosphorus (DIP), and alkaline phosphatase (AP) has been the major research focus as a facilitating mechanism. Here, we employed a unique molecular ecological approach and conducted a broader search for underpinning molecular mechanisms of adenosine triphosphate (ATP) utilisation. Cultures of the dinoflagellate Karenia mikimotoi were set up in L1 medium (+P), DIP-depleted L1 medium (-P) and ATP-replacing-DIP medium (ATP).

The Symbiodinium kawagutii genome illuminates dinoflagellate gene expression and coral symbiosis.

Dinoflagellates are important components of marine ecosystems and essential coral symbionts, yet little is known about their genomes. We report here on the analysis of a high-quality assembly from the 1180-megabase genome of Symbiodinium kawagutii. We annotated protein-coding genes and identified Symbiodinium-specific gene families.

Screening for Suitable Reference Genes for Quantitative Real-Time PCR in Heterosigma akashiwo (Raphidophyceae).

The raphidophyte Heterosigma akashiwo is a globally distributed harmful alga that has been associated with fish kills in coastal waters. To understand the mechanisms of H. akashiwo bloom formation, gene expression analysis is often required.