SEAWEED EXTRACTS AS A POTENTIAL TOOL FOR THE ATTENUATION OF OXIDATIVE DAMAGE IN OBESITY‐RELATED PATHOLOGIES1

Recent studies suggest that seaweed extracts are a significant source of bioactive compounds comparable to the dietary phytochemicals such as onion and tea extracts. The exploration of natural antioxidants that attenuate oxidative damage is important for developing strategies to treat obesity‐related pathologies. The objective of this study was to screen the effects of seaweed extracts of 49 species on adipocyte differentiation and reactive oxygen species (ROS) production during the adipogenesis in 3T3‐L1 adipocytes, and to investigate their total phenol contents and 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) radical scavenging activities. Our results show that high total phenol contents were observed in the extracts of Ecklonia cava (see Table 1 for taxonomic authors) (681.1 ± 16.0 μg gallic acid equivalents [GAE] · g^?1), Dictyopteris undulata (641.3 ± 70.7 μg GAE · g^?1), and Laurencia intermedia (560.9 ± 48.1 μg GAE · g^?1). In addition, DPPH radical scavenging activities were markedly higher in Sargassum macrocarpum (60.2%), Polysiphonia morrowii (55.0%), and Ishige okamurae (52.9%) than those of other seaweed extracts (P < 0.05). Moreover, treatment with several seaweed extracts including D. undulata, Sargassum micracanthum, Chondrus ocellatus, Gelidium amansii, Gracilaria verrucosa, and Grateloupia lanceolata significantly inhibited adipocyte differentiation and ROS production during differentiation of 3T3‐L1 preadipocytes. Furthermore, the production of ROS was positively correlated with lipid accumulation (R² = 0.8149). According to these preliminary results, some of the seaweed extracts can inhibit ROS generation, which may protect against oxidative stress that is linked to obesity. Further studies are required to determine the molecular mechanism between the verified seaweeds and ROS, and the resulting effects on obesity.

Table 1. List of Korean seaweed extracts of 49 species evaluated in this experiment.

Butterfly genomics sheds light on the process of hybrid speciation

How common is hybridization between species and what effect does it have on the evolutionary process? Can hybridization generate new species and what indeed is a species? In this issue, Gompert et al. (2014) show how massive, genome‐scale data sets can be used to shed light on these questions. They focus on the Lycaeides butterflies, and in particular, several populations from the western USA, which have characteristics suggesting that they may contain hybrids of two or more different species (Gompert et al. 2006). They demonstrate that these populations do contain mosaic genomes made up of components from different parental species. However, this appears to have been largely driven by historical admixture, with more recent processes appearing to be isolating the populations from each other. Therefore, these populations are on their way to becoming distinct species (if they are not already) but have arisen following extensive hybridization between other distinct populations or species (Fig.  1 ).

Figure 1 Open in figure viewer PowerPoint There has been extensive historical admixture between Lycaeides species with some new species arising from hybrid populations. (Photo credits: Lauren Lucas, Chris Nice, and James Fordyce).

Their data set must be one of the largest outside of humans, with over one and half thousand butterflies genotyped at over 45 thousand variable nucleotide positions. It is this sheer amount of data that has allowed the researchers to distinguish between historical and more recent evolutionary and demographic processes. This is because it has allowed them to partition the data into common and rare genetic variants and perform separate analyses on these. Common genetic variants are likely to be older while rare variants are more likely to be due to recent mutations. Therefore, by splitting the genetic variation into these components, the researchers were able to show more admixture among common variants, while rare variants showed less admixture and clear separation of the populations. The extensive geographic sampling of individuals, including overlapping distributions of several of the putative species, also allowed the authors to rule out the possibility that the separation of the populations was simply due to geographical distance. The authors have developed a new programme for detecting population structure and admixture, which does the same job as STRUCTURE (Pritchard et al. 2000 ), identifying genetically distinct populations and admixture between these populations, but is designed to be used with next generation sequence data. They use the output of this model for another promising new method to distinguish between contemporary and historical admixtures. They fixed the number of source populations in the model at two and estimated the proportion of each individual's genome coming from these two populations. Therefore, an individual can either be purely population 1, or population 2 or some mixture of the two (they call this value q, the same parameter exists in STRUCTURE). They then compared this to the level of heterozygosity coming from the two source populations in the individual's genome. If an individual is an F1 hybrid of two source populations, then it would have a q of 0.5 and also be heterozygous at all loci that distinguish the parental populations. On the other hand, if it is a member of a stable hybrid lineage, it might also have a q of 0.5 but would not be expected to be heterozygous at these loci, because over time the population would become fixed for one or other of the source population states either by drift or selection (Fig.  2 ). This is indeed what they find in the hybrid populations. They tend to have intermediate q values, but the level of heterozygosity coming from the source populations (which they call Q₁₂) was consistently lower than expected.

Figure 2 Open in figure viewer PowerPoint The Q‐matrix analysis used by Gompert et al. ( 2014 ) to distinguish between contemporary (hybrid swarm) and historical (stable hybrid lineage) admixture.

Overall, the results support several of the populations as being stable hybrid lineages. Nevertheless, the strictest definitions of hybrid species specify that the process of hybridization between the parental species must be instrumental in driving the reproductive isolation of the new species from both parental populations (Abbott et al. 2013 ). This is extremely hard to demonstrate conclusively because it requires us to first of all identify the isolating mechanisms that operated in the early evolution of the species and then to show that these were caused by the hybridization event itself. One advantage of the Lycaeides system is that the species appear to be in the early stages of divergence, so barriers to gene flow that are operating currently are likely to be those that are driving the species divergence. While there is some evidence that hybridization gave rise to traits that allowed the new populations to colonize new environments (Gompert et al. 2006 ; Lucas et al. 2008 ), there is clearly further work to be carried out in this direction. One of the rare examples of homoploid hybrid speciation (hybrid speciation without a change in chromosome number) where the reproductive isolation criterion has been demonstrated, comes from the Heliconius butterflies. In this case, hybridization of two species has been shown to give rise to a new colour pattern that instantly becomes reproductively isolated from the parental species due to mate preference for that pattern (Mavárez et al. 2006 ). However, while this has become a widely accepted example (Abbott et al. 2013 ), the naturally occurring ‘hybrid species’ in fact has derived most of its genome from one of the parental species, with largely just the colour pattern controlling locus coming from the other parent, a process that has been termed ‘hybrid trait speciation’ (Salazar et al. 2010 ). This distinction is an important one in terms of our understanding of the organization of biological diversity. While hybrid trait speciation will still largely fit the model of a neatly branching evolutionary tree, with perhaps only the region surrounding the single introgressed gene deviating from this model, hybrid species that end up with mosaic genomes, like Lycaeides, will not fit this model when considering the genome as a whole. This distinction also more broadly applies when comparing the patterns of divergence between Heliconius and Lycaeides. These two butterfly genera have been driving forward our understanding of the prevalence and importance of hybridization at the genomic level, but they reveal different ways in which hybridization can influence the organization of biological diversity. Recent work in Heliconius has shown that admixture is extensive and has been ongoing over a large portion of the evolutionary history of species (Martin et al. 2013 ; Nadeau et al. 2013 ). Nevertheless, this has not obscured the clear and robust pattern of a bifurcating evolutionary tree when considering the genome as a whole (Nadeau et al. 2013 ). In contrast in Lycaeides, the genome‐wide phylogeny clearly does not fit a bifurcating tree, resembling more of a messy shrub, with hybrid taxa falling at intermediate positions on the phylogeny (Gompert et al. 2014 ). The extent to which we need to rethink the way we describe and organize biological diversity will depend on the relative prevalence of these different outcomes of hybridization. We are likely to see many more of these types of large sequence data sets for ecologically interesting organisms. Gompert et al. ( 2014 ) show that these data need not only be a quantitative advance, but can also qualitatively change our understanding of the evolutionary history of these organisms. In particular, analysing common and rare genetic variants separately may provide information that would otherwise be missed. The emerging field of ‘speciation genomics’ (Seehausen et al. 2014 ) should follow this lead in developing new ways of making the most of the flood of genomic data that is being generated, but also improve methods for integrating this with field observations and experiments to identify the sources and targets of selection and divergence.

References

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• Lucas LK , Fordyce JA , Nice CC (2008 ) Patterns of genitalic morphology around suture zones in North American Lycaeides (Lepidoptera: Lycaenidae): implications for taxonomy and historical biogeography . Annals of the Entomological Society of America, 101 , 172 – 180 . Crossref Web of Science® Google Scholar
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This article was written and figures prepared by N.N. except as specified in the text (photo credits).

Citing Literature

Number of times cited according to CrossRef: 4

• V. Alex Sotola, David S. Ruppel, Timothy H. Bonner, Chris C. Nice, Noland H. Martin, Asymmetric introgression between fishes in the Red River basin of Texas is associated with variation in water quality, Ecology and Evolution, 10.1002/ece3.4901, 9 , 4, (2083-2095), (2019). Wiley Online Library
• Matej Bocek, Dominik Kusy, Michal Motyka, Ladislav Bocak, Persistence of multiple patterns and intraspecific polymorphism in multi-species Müllerian communities of net-winged beetles, Frontiers in Zoology, 10.1186/s12983-019-0335-8, 16 , 1, (2019). Crossref
• Nicola J. Nadeau, Takeshi Kawakami, Population Genomics of Speciation and Admixture, , 10.1007/13836_2018_24, (2018). Crossref
• Amanda Roe, Julian Dupuis, Felix Sperling, Molecular Dimensions of Insect Taxonomy in the Genomics Era, Insect Biodiversity, 10.1002/9781118945568, (547-573), (2017). Wiley Online Library

Volume 23 , Issue 18 September 2014

Pages 4441-4443     

DECA,A Comprehensive,Automatic Post-processing Program for HDX-MS Data*

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Highlights

• •Open source software for comprehensive HDX-MS data analysis.
• •Automatic back-exchange correction options.
• •Rigorous statistical analysis of the significance of uptake differences.
• •High quality visualization tools.

     

Macrophage Phosphoproteome Analysis Reveals MINCLE-dependent and -independent Mycobacterial Cord Factor Signaling

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Highlights

• •quantitative phosphoproteome analysis of TDM-activated macrophages.
• •distinct Mincle-dependent and independent phosphorylation and gene regulations.
• •Mincle-dependent activation of PI3K/AKT signaling by TDM.
• •Mincle-independent macrophage response is linked to cell cycle regulation.

     

High-throughput Identification of FLT3 Wild-type and Mutant Kinase Substrate Preferences and Application to Design of Sensitive In Vitro Kinase Assay Substrates

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Highlights

• •Developed a data processing pipeline to format phosphopeptide identifications.
• •Identified the preferred substrate motif for FLT3 and mutant kinases.
• •Designed and validated a panel of pan-FTL3 artificial substrates.
• •Monitored FLT3 and mutant kinase activity through FAStide phosphorylation.

     

Spatiotemporal Changes of the Phagosomal Proteome in Dendritic Cells in Response to LPS Stimulation*

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Highlights

• •Characterization of the phagosomal proteome comparing resting and LPS-treated BMDCs.
• •Label-free quantification determined 2843 phagosomal proteins.
• •Reduced recruitment of hydrolases and V-ATPase to phagosomes of LPS-treated cells.
• •Increased recruitment of antigen cross-presentation molecules to these phagosomes.

     

Substantial Influence of ERAP2 on the HLA-B*40:02 Peptidome: Implications for HLA-B*27-Negative Ankylosing Spondylitis

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Highlights

• •HLA-B*40:02 and ERAP2 are risk factors for ankylosing spondylitis.
• •The effects of ERAP2 on the B*40:02 peptidome are defined.
• •ERAP2 has a major influence mainly due to alterations of N-terminal residues.
• •These effects provide a basis for the association of ERAP2 with disease.

     

Identification of Salivary Biomarkers for Oral Cancer Detection with Untargeted and Targeted Quantitative Proteomics Approaches

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Highlights

• •iTRAQ-based analysis of saliva samples from oral cancer patients.
• •Proteome profiling of saliva samples from patients with oral premalignant lesions.
• •Verification of salivary biomarker candidates with MRM-MS and immunoassays.
• •Identification of salivary proteins as potential biomarkers of oral cancer.

     

psims - A Declarative Writer for mzML and mzIdentML for Python

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Highlights

• •Incrementally build mzML 1.1, and mzIdentML 1.2 files in Python over a file stream.
• •Traverse controlled vocabularies using common mapping patterns.
• •Generate byte offset index as the document streams.
• •Manage referential integrity on-the-fly.

     

Bayesian Confidence Intervals for Multiplexed Proteomics Integrate Ion-statistics with Peptide Quantification Concordance,

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Highlights

• •Bayesian Beta-Binomial model integrates ion statistics with peptide ratio agreement.
• •Model appropriately interprets information from low signal peptides.
• •Confidence can be assigned even without replicates.
• •Model adds sensitivity to detection of small changes.

     

Global Interactomics Uncovers Extensive Organellar Targeting by Zika Virus

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Highlights

• •BioID and IP-MS were conducted to generate a global ZIKV-host protein interactome
• •Interactome consists of >3000 high confidence ZIKV-host protein interactions
• •Data mining indicates that ZIKV proteins interact with multiple host cell organelles
• •An important role for peroxisomes in ZIKV infection is uncovered

     

Unraveling Hidden Components of the Chloroplast Envelope Proteome: Opportunities and Limits of Better MS Sensitivity

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Highlights

• •Identification of previously undetected chloroplast envelope proteins.
• •Up to date manual annotation of genuine (or shared) envelope components.
• •New hypotheses for localizations, functions, interactions among cell compartments.
• •A new resource of significant value to the broader plant science community.

     

High-density Peptide Arrays Help to Identify Linear Immunogenic B-cell Epitopes in Individuals Naturally Exposed to Malaria Infection

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Highlights

• •Profiling antibody responses of patients with naturally acquired malaria immunity.
• •High-density peptide arrays featuring linear epitopes.
• •Epitope mapping of known and potential novel vaccine candidates.
• •Novel immunogenic epitopes discovered, and known antibody target motifs confirmed.

     

HLA-DO Modulates the Diversity of the MHC-II Self-peptidome

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Highlights

• •MHC-II-bound peptide repertoires from DO-sufficient and DO-deficient cells.
• •Fewer unique peptides and core epitopes were presented in the absence of DO.
• •Immunopeptidome differences appeared to result from reduced DM editing.
• •DO-dependent self-epitopes elicited CD4 T cell responses in mice.

     

Global Proteome and Ubiquitinome Changes in the Soluble and Insoluble Fractions of Q175 Huntington Mice Brains

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Highlights

• •Quantitative changes in global proteome and ubiquitinome in Huntington's disease.
• •Differential ubiquitination of wild-type and mutant Htt in mice brain.
• •Enriched pathways include vesicle transport and mRNA processing.
• •Correlation between protein and diGly site fold changes.

     

Chromobodies to Quantify Changes of Endogenous Protein Concentration in Living Cells

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Highlights

• •Chromobodies are stabilized by antigen binding in live cells.
• •Monitoring changes of endogenous protein levels in living cells with chromobodies.
• •Broadly applicable system to generate turnover-accelerated chromobodies.
• •Quantification of time- and dose-dependent compound effects.