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Today, the use of nutrients derived from natural bioactive compounds application in the food, pharmaceutical, and cosmetic industries is on the increase. This paper aimed to evaluate the amino acids profile (essential and non-essential) and pigments composition (chlorophyll a, carotenoids, and phycocyanin) of Arthrospira platensis (a blue-green microalga) cultivation in a flat-plate photobioreactor under various types of light-emitting diodes (red: 620–680 nm, white: 380–780 nm, yellow: 570–600nm, blue: 445–480 nm). The maximum biomass concentration (604.96 mg L−1) occurred when the red LED was applied for cultivation, and the minimum biomass concentration (279.39 mg L−1) was obtained under blue LED. The sequence of pigments and amino acids concentrations (mg L−1culture volume) was approximately in accordance with the biomass productivity. It means the red light produces the maximum concentration of pigments (chlorophyll a: 5.42, carotenoids: 2.92, phycocyanin: 67.54 mg L−1) and amino acids (essential amino acids: 110.47, nonessential amino acids: 179.10 mg L−1). Nevertheless, when these values were measured in mg per g of dry weight, the utmost contents were observed in microalgal products cultivated under blue LED. These consequences are due to the highest cell productivity and the most extended length of cells that occurred under red and blue LEDs, respectively. Highlights: Spectral light quality is an effective parameter on Spirulina platensis growth. Red light produces the highest biomass productivity. Pigment and amino acids concentrations have conformity with biomass productivity. Blue light causes the cells to be longer. Longer cells have more time to synthesize the intracellular compounds. [ABSTRACT FROM AUTHOR]

The phage display technology is based on the presentation of peptide sequences on the surface of virions of bacteriophages. Its development led to creation of sophisticated systems based on the possibility of the presentation of a huge variability of peptides, attached to one of proteins of bacteriophage capsids. The use of such systems allowed for achieving enormous advantages in the processes of selection of bioactive molecules. In fact, the phage display technology has been employed in numerous fields of biotechnology, as diverse as immunological and biomedical applications (in both diagnostics and therapy), the formation of novel materials, and many others. In this paper, contrary to many other review articles which were focussed on either specific display systems or the use of phage display in selected fields, we present a comprehensive overview of various possibilities of applications of this technology. We discuss an usefulness of the phage display technology in various fields of science, medicine and the broad sense of biotechnology. This overview indicates the spread and importance of applications of microbial systems (exemplified by the phage display technology), pointing to the possibility of developing such sophisticated tools when advanced molecular methods are used in microbiological studies, accompanied with understanding of details of structures and functions of microbial entities (bacteriophages in this case). [ABSTRACT FROM AUTHOR]

Food-derived antihypertensive peptides have attracted increasing attention in functional foods for health promotion, due to their high biological activity, low toxicity and easy metabolism in the human body. Angiotensin converting enzyme (ACE) is a key enzyme that causes the increase in blood pressure in mammals. However, few reviews have summarized the current understanding of ACE inhibitory peptides and their knowledge gaps. This paper focuses on the food origins and production methods of ACE inhibitory peptides. Compared with conventional methods, the advanced technologies and emerging bioinformatics approaches have recently been applied for efficient and targeted release of ACE inhibitory peptides from food proteins. Furthermore, the transport and underlying mechanisms of ACE inhibitory peptides are emphatically described. Molecular modeling and the Michaelis-Menten equation can provide information on how ACE inhibitors function. Finally, we discuss the structure-activity relationships and other bio-functional properties of ACE inhibitory peptides. Molecular weight, hydrophobic amino acid residues, charge, amino acid composition and sequence (especially at the C-terminal and N-terminal) have a significant influence on ACE inhibitory activity. Some studies are required to increase productivity, improve bioavailability of peptides, evaluate their bio-accessibility and efficiency on reducing blood pressure to provide a reference for the development and application of health products and auxiliary treatment drugs. [ABSTRACT FROM AUTHOR]

Bioactive peptides derived from diverse food proteins have been part of diverse investigations. Whey is a rich source of proteins and components related to biological activity. It is known that proteins have effects that promote health benefits. Peptides derived from whey proteins are currently widely studied. These bioactive peptides are amino acid sequences that are encrypted within the first structure of proteins, which required hydrolysis for their release. The hydrolysis could be through in vitro or in vivo enzymatic digestion and using microorganisms in fermented systems. The biological activities associated with bio-peptides include immunomodulatory properties, antibacterial, antihypertensive, antioxidant and opioid, etc. These functions are related to general conditions of health or reduced risk of certain chronic illnesses. To determine the suitability of these peptides/ingredients for applications in food technology, clinical studies are required to evaluate their bioavailability, health claims, and safety of them. This review aimed to describe the biological importance of whey proteins according to the incidence in human health, their role as bioactive peptides source, describing methods, and obtaining technics. In addition, the paper exposes biochemical mechanisms during the activity exerted by biopeptides of whey, and their application trends. [ABSTRACT FROM AUTHOR]

The two currently licensed surface protein non-capsular meningococcal serogroup B (MenB) vaccines both have the purpose of providing broad coverage against diverse MenB strains. However, the different antigen compositions and approaches used to assess breadth of coverage currently make direct comparisons complex. In the second of two companion papers, we comprehensively review the serology and factors influencing breadth of coverage assessments for two currently licensed MenB vaccines. Surface protein MenB vaccines were developed using different approaches, resulting in unique formulations and thus their breadth of coverage. The surface proteins used as vaccine antigens can vary among meningococcal strains due to gene presence/absence, sequence diversity, and differences in protein expression. Assessment of the breadth of coverage provided by vaccines is influenced by the ability to induce cross-reactive functional immune responses to sequence diverse protein variants; the characteristics of the circulating invasive strains from specific geographic locations; methodological differences in the immunogenicity assays; differences in human immune responses between individuals; and the maintenance of protective antibody levels over time. Understanding the proportion of meningococcal strains, which are covered by the two licensed vaccines, is important in understanding protection from disease and public health use. [ABSTRACT FROM AUTHOR]

The effective spread of COVID-19 cases in several countries produces more protein sequences that are released in genomic public sources. It provides some awareness and indications for virus classification of COVID-19 and HIV-1 that are essential for drug discovery of COVID-19. This paper reveals the importance of machine learning algorithms to handle the recognition of two different viruses. Therefore, 18,476 protein sequences for both COVID-19 and HIV-1 and 9238 for each virus are applied to the proposed model based on feature extraction, data labeling, and six classifiers. Amino acid classification according to their dipoles and volumes is employed as a feature extraction tool based on the creation of eight features from twenty amino acids by using the conjoint triad (CT) method. The data labeling is employed as a coding tool by binary numbers refereeing zero for COVID-19 and one for HIV-1. The random forest (RF) model achieved the highest classification accuracy of 99.89% for eight features and 97.80% for two features. The experimental results significantly confirmed that eight features required more computational time than two features, but the accuracy rate was nearly similar in the two cases. This classification strategy of COVID-19 and HIV-1 will prompt the prediction of protein sequences of the new virus. [ABSTRACT FROM AUTHOR]

Bird's nest fungi involve six different genera, but only one of these genera (i.e. Cyathus) have available mitochondrial genomes (mitogenomes) to date. In this study, we report the first mitogenome in the genus Nidula with Nidula shingbaensis K. Das & R.L. Zhao 2013 as a representative. The mitogenome is a circular molecule of 65,793 bp with a GC content of 26.2%. There are a total of 43 genes, including 14 typical protein-coding genes, 26 tRNA genes, two rRNA genes, and one free-standing intergenic open reading frame (ORF). Three introns (two in cox1 and one in cob) are present in the mitogenome, with each containing an ORF encoding for a LAGLIDADG endonuclease. Phylogenetic analysis based on mitochondrial amino acid sequences confirms the phylogenetic placement of N. shingbaensis in Nidulariaceae in Agaricales. This study serves as a springboard for future investigation on fungal evolution in Nidulariaceae. [ABSTRACT FROM AUTHOR]

Singerocybe alboinfundibuliformis (Seok et al.) Yang, Qin & Takah 2014 is an edible mushroom distributed in several East or Southeast Asian countries. Herein, we report the mitochondrial genome of S. alboinfundibuliformis based on Illumina sequencing data. The overall length of the mitochondrial genome is 64,279 bp, with a GC content of 29.0%. It contains 14 typical protein-coding genes, 27 tRNA genes, two rRNA genes, and 13 intergenic ORFs. Most of these genes (39 out of 56) are transcribed at the forward strand, and few (17 out of 56) are transcribed at the reverse strand. Among these genes, only the rnl gene is invaded by an intron, and all other genes are intron-free. Phylogenetic analysis based on mitochondrial amino acid sequences supports the phylogenetic position of S. alboinfundibuliformis in Clitocybaceae, being close to Lepista sordida (Schumach.) Singer 1951. This study serves as a springboard for future investigation on fungal evolution in Clitocybaceae. [ABSTRACT FROM AUTHOR]

The ongoing evolution and mutation of SARS-CoV2 pose a significant challenge to the development of effective medication, as genetic changes can render previously developed drugs ineffective. To address this issue, researchers are exploring various strategies to predict and assess the emergence of novel SARS-CoV2 strains through phylogenetic analysis and mutation prediction. In recent years, deep learning approaches have been applied to studying viruses, including SARS-CoV2, to improve our understanding of virus evolution, structure, categorization, and prediction. In this study, a novel deep learning approach is proposed to predict and assess SARS-CoV2 protein sequences. Specifically, Long Short-Term Memory (LSTM) is utilized to predict protein sequences from aligned input sequences, with a bioinformatics tool used to detect mutations. The deep learning model proposed in this study exhibits high accuracy in predicting several key SARS-CoV2 protein sequences, including spike, replicase, putative, ORF1a, and nucleocapsid. The study uses genome sequencing data from the National Center for Biotechnology Information (NCBI) and demonstrates a 98% accuracy in predicting genomic sequences, with minimal changes observed in protein sequences. This study represents a significant improvement over previous research, which has focused only on predicting mutations in viral RNA sequences using datasets from other viruses. [ABSTRACT FROM AUTHOR]

Protein is always a central part of the biology of the organism, it is essential to be familiar with the nature of proteins' molecular level communications, in which the prediction of Protein-Protein Interactions (PPIs) plays the main role. This article proposes a new probabilistic feature extraction technique, termed Centroid-based feature (CF) abbreviated as CF-PPI, to generate a new feature from protein sequence, and then the random forest is used as a classifier to predict PPIs. CF-PPI considers the residual energy of the protein bond in the scenario to detect the interaction between proteins and resolve the protein's length variation issue using probabilistic feature vectors. The PPI datasets which are used in this article are S. cerevisae, H. pylori, and Human, which achieved the average accuracy of 96.25%, 97.68%, and 97.69% respectively using the CF-PPI and Random Forest as a classifier and the comparison result proved superior to other existing results. The AUC score is also evaluated, additionally, a blind test is performed using five other species' datasets which are independent of the training set with the same proposed feature approach. The experimental results prove that the CF-PPI is very promising and beneficial for looming proteomics research. [ABSTRACT FROM AUTHOR]

Gypsophila huashanensis Y. W. Tsui & D. Q. Lu (Caryophyllaceae) is an endemic herb species to the Qinling Mountains in China. In this study, we characterized its whole plastid genome using the Illumina sequencing platform. The complete plastid genome of G. huashanensis is 152,457 bp in length, including a large single-copy DNA region of 83,476 bp, a small single-copy DNA region of 17,345 bp, and a pair of inverted repeat DNA sequences of 25,818 bp. The genome contains 130 genes comprising 85 protein-coding genes, 37 tRNA genes, and eight rRNA genes. Evolutionary analysis showed that the non-coding regions of Caryophyllaceae exhibit a higher level of divergence than the exon regions. Gene site selection analysis suggested that 11 coding protein genes (accD, atpF, ndhA, ndhB, petB, petD, rpoCl, rpoC2, rps16, ycfl, and ycf2) have some sites under protein sequence evolution. Phylogenetic analysis showed that G. huashanensis is most closely related to the congeneric species G. oldhamiana. These results are very useful for studying phylogenetic evolution and species divergence in the family Caryophyllaceae. [ABSTRACT FROM AUTHOR]

The complete mitochondrial genome of Drechslerella dactyloides was characterized in this study. This mitogenome is a closed circular molecule of 246860 bp in length with a GC content of 26.16%, including 87 predicted protein-coding genes, 29 transfer RNA genes, and two rRNA gens. Phylogenetic analyses based on concatenated amino acid sequences at 14 conserved mitochondrial protein-coding genes showed that D. dactyloides was closely related to Dactylellina haptotyla. [ABSTRACT FROM AUTHOR]

The first complete mitochondrial genome of the freshwater goby Rhinogobius davidi was determined by high-throughput sequencing. This genome was 16,627 bp in length and consisted of 13 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA genes, and 2 non-coding control regions. Phylogenetic analysis based on the amino acid sequences of 13 mitochondrial protein-coding genes from R. davidi and 23 relatives suggested that R. davidi had a close mitogenome relationship with Rhinogobius giurinus. This complete genome of R. davidi will provide basal molecular data for future studies on taxonomy, comparative genomics, and adaptive evolution in Rhinogobius. [ABSTRACT FROM AUTHOR]

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Melittin is a major component of bee venom; it is widely used in traditional medicine because of its therapeutic effects, such as anti-inflammatory effects. However, melittin has limited medical applications owing to its adverse effects, such as high cytotoxicity. In this study, we investigated the physiological activities of various hydrolyzed melittin-derived peptides to eliminate the cytotoxicity of melittin and enhance its efficacy. The 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging assay confirmed that melittin-derived peptides showed antioxidant activity comparable to that of melittin. Moreover, unlike melittin, which showed high cytotoxicity in the 3-(4,5-dimethylthiazol-2-yl)−5-(3-carboxymethoxyphenyl)−2-(4-sulfophenyl)−2H-tetrazolium inner salt (MTS) assay, the melittin-derived peptides showed negligible cytotoxicity. Among the melittin-derived peptides, the peptide composed of sequence TTGLPALISWIKRKRQQ (P1) showed inhibitory effects on the mRNA expression of inflammatory cytokines and phosphorylation of IκBα, similar to the effects of melittin in RAW 264.7 cells. Degranulation of RBL-2H3 cells was analyzed using a β-hexosaminidase release assay to confirm the allergenic activity of melittin and P1, which showed remarkably reduced allergenicity of P1 compared to that of melittin. These results indicate that P1 maintained the anti-inflammatory effects of melittin while reducing its cytotoxicity and allergic reactions. In conclusion, the melittin-derived peptide P1 efficiently decreased the adverse effects while maintaining the beneficial effects of melittin, making it suitable for therapeutic applications. [ABSTRACT FROM AUTHOR]

The field of cancer therapy has undergone a major transformation in less than a decade due to the introduction of checkpoint inhibitors, the advent of next generation sequencing and the discovery of neoantigens. The key observation that the breadth of each patient's immune response to the unique mutations or neoantigens present in their tumor is directly related to their survival has led oncologists to focus on driving immune responses to neoantigens through vaccination. Oncology has entered the era of precision immunotherapy, and cancer vaccine development is undergoing a paradigm shift. Neoantigens are short peptide sequences found in tumors, but not noncancerous tissues, the vast majority of which are unique to each patient. In addition to providing a description of the distinguishing features of neoantigen discovery platforms, this review will address cross-cutting personalized cancer vaccine design themes and developmental stumbling blocks. Immunoinformatic pipelines that can rapidly scan cancer genomes and identify 'the best' neoantigens are in high demand. Despite the need for such tools, immunoinformatic methods for identifying neoepitopes in cancer genomes are diverse and have not been well-validated. Validation of 'personalized vaccine design pipelines' will bring about a revolution in neoantigen-based vaccine design and delivery. [ABSTRACT FROM AUTHOR]

Chicken astrovirus (CAstV) has for over a decade been associated with runting stunting syndrome, severe kidney disease and visceral gout, and white chick syndrome. However, knowledge of the molecular characteristics and pathogenicity of the virus in day-old specific pathogen-free (SPF) chicks is scarce. This study focused on the characterization of near-complete genome of three Malaysian CAstV isolates following virus propagation in SPF embryonated chicken eggs and pathogenicity in day-old SPF chicks. The three isolates demonstrated unique features including a point mutation in their intergenic regions and an additional stem-loop II-like motif (s2m) in ORF-2. Pairwise sequence comparison and phylogenetic analysis of the ORF-2 amino acid sequence of the three isolates revealed an identity share of 86–91% with group B CAstVs while forming a new subgroup in addition to the known four subgroups (Bi, Bii, Biii and Biv) that exhibit high identity of between 95% and 100% within the subgroups. In the pathogenicity study, birds in the infected and exposed sentinel groups exhibited lethargy and diarrhoea 3 days post-inoculation (dpi) that declined by 6 dpi, and 20% growth retardation by 9 dpi. Mild lymphocytic aggregates in the duodenum, tubular degeneration and interstitial nephritis were observed in the intestines and kidneys, respectively, in both groups. In addition, the mean virus copy numbers of the cloacal swabs were log10 13.23 at 3 dpi and log10 9.04 at 6 dpi for the infected and exposed sentinels, respectively. The study suggests that the Malaysian isolates should be assigned to a new subgroup, Bv within group B CAstV. A single run of NGS protocol is capable of generating a near-complete genome sequence of CAstV. The Malaysian CAstV isolates cluster together and exhibit 86–91% identity with published group B CAstVs. The Malaysian CAstVs encode an additional stem-loop II-like motif (s2m) in ORF-2. The isolates are pathogenic to day-old SPF chicks with lesions mainly in the intestine and kidneys. [ABSTRACT FROM AUTHOR]

The comprehensiveness of the allergen database used to bioinformatically compare a novel food protein with known allergens is critical to the ability to assess the allergenic risk of newly expressed proteins in genetically engineered crops. The strength of the relationship between a candidate GE protein's amino acid sequence and that of known allergens is used to predict cross-reactive risk. The number of truly novel allergen sequences added annually to the COMPARE database reflects on the comprehensiveness of our knowledge of allergen amino acid sequence diversity. Here, we investigated the most recent five years of updates to the COMPARE allergen database for truly novel entries. Results indicate that few truly novel sequences are added each year, suggesting that the database and our knowledge of allergen sequence diversity is currently quite comprehensive, and that current in silico prediction of allergenic risk for novel food proteins is robust. [ABSTRACT FROM AUTHOR]

Similarity analysis of protein sequences can expose the evolutionary relationship among them. It is required to design effective computational algorithms that can compare the similarities among the colossal amount of sequences. Alignment-based approaches to this problem are often computationally expensive, especially when the number of sequences is large. This research aims to develop an efficient alignment-free tool in the field of protein sequence comparison and phylogenetic study. The proposed method, namely EightyDVec, performs a feature generation process based on the physiochemical properties of amino acids that best describe the evolutionary relationship among the species in a protein family. Using EightyDVec, protein sequences are transformed into 80-dimensional feature vectors and the comparisons between sequences are performed conveniently through these vectors. Four different datasets are used to validate the accuracy of EightyDVec, and the obtained results have shown the great effectiveness of the proposed method in the similarity analysis of protein sequences. [ABSTRACT FROM AUTHOR]

Mutations that affect phenotypes have been identified primarily as those that directly alter amino acid sequences or disrupt splice sites. However, some mutations not located in functionally important sites can also affect phenotypes, such as splice-site-creating mutations (SCMs). To investigate how frequent exon extension/shrinkage events induced by SCMs occur in normal individuals, we used personal genome sequencing data and transcriptome data of the corresponding individuals and identified 371 exon extension/shrinkage events in normal individuals. This number was about three times higher than the number of pseudo-exon activation events identified in the previous study. The average numbers of exon extension and exon shrinkage events in each sample were 3.3 and 11.2, respectively. We also evaluated the impact of exon extension/shrinkage events on the resulting transcripts and their protein products and found that 40.2% of the identified events may have possible functional impacts by either generating premature termination codons in transcripts or affecting protein domains. Our results indicated that a certain fraction of SCMs identified in this study can be pathogenic mutations by creating novel splice sites. [ABSTRACT FROM AUTHOR]

A total of 241 mitochondrial genomes were assembled and annotated from the SRA database to reconstruct a mtDNA genome phylogeny for the genus Drosophila, the family Drosophilidae, and close relatives. The resulting mtDNA genome phylogeny is largely congruent with previous higher-level analyses of Drosophila species with the exception of the relationships between the melanogaster, montium, anannassae, saltans and obscura groups. Although relationships within these species groups are congruent between nuclear and mtDNA studies, the mtDNA genome phylogeny of the groups is different when compared to earlier studies. Monophyly of known species groups within the genus Drosophila are highly supported and, as in previous work, the genera Lordiphosa, Hirtodrosophila, Zaprionus and Scaptomya are all imbedded within the genus Drosophila. Incongruence and partitioned support analyses indicate that DNA sequences are better at resolving the phylogeny than their translated protein sequences. Such analyses also indicate that genes on the minus strand of the circular molecule (Lrrna, Srrna, ND4, ND4L and ND5) provide most of the support for the overall phylogenetic hypothesis. [ABSTRACT FROM AUTHOR]

Accurately identifying the protein DNA-binding residues is important for understanding the protein–DNA recognition mechanism and protein function annotation. Many computational methods have been proposed to predict protein–DNA binding residues using protein sequence information; however, for severe imbalanced data like the protein–DNA binding dataset, the under-sampling technique which is applied by most previous methods cannot achieve satisfactory performance. In this study, an adjustment algorithm is proposed to offset the biased prediction results from the classifier. The proposed adjustment algorithm uses the binding probability between the target residue and its neighboring residues to identify more true binding residues which are wrongly predicted as non-binding. The proposed prediction method with adjustment algorithm achieves an area under the ROC curve (AUC) of 0.926 and 0.866 on two benchmark datasets and 0.882 on the independent testing set, which demonstrates that the proposed method can efficiently predict specific residues for protein–DNA interactions. [ABSTRACT FROM AUTHOR]

Several studies recently showed that ex vivo fibrils from patient or animal tissue were structurally different from in vitro formed fibrils from the same polypeptide chain. Analysis of serum amyloid A (SAA) and Aβ-derived amyloid fibrils additionally revealed that ex vivo fibrils were more protease stable than in vitro fibrils. These observations gave rise to the proteolytic selection hypothesis that suggested that disease-associated amyloid fibrils were selected inside the body by their ability to resist endogenous clearance mechanisms. We here show, for more than twenty different fibril samples, that ex vivo fibrils are more protease stable than in vitro fibrils. These data support the idea of a proteolytic selection of pathogenic amyloid fibril morphologies and help to explain why only few amino acid sequences lead to amyloid diseases, although many, if not all, polypeptide chains can form amyloid fibrils in vitro. [ABSTRACT FROM AUTHOR]

Translation is the set of mechanisms by which ribosomes decode genetic messages as they synthesize polypeptides of a defined amino acid sequence. While the ribosome has been honed by evolution for high-fidelity translation, errors are inevitable. Aberrant mRNAs, mRNA structure, defective ribosomes, interactions between nascent proteins and the ribosomal exit tunnel, and insufficient cellular resources, including low tRNA levels, can lead to functionally irreversible stalls. Life thus depends on quality control mechanisms that detect, disassemble and recycle stalled translation intermediates. Ribosome-associated Quality Control (RQC) recognizes aberrant ribosome states and targets their potentially toxic polypeptides for degradation. Here we review recent advances in our understanding of RQC in bacteria, fungi, and metazoans. We focus in particular on an unusual modification made to the nascent chain known as a "CAT tail", or Carboxy-terminal Alanine and Threonine tail, and the mechanisms by which ancient RQC proteins catalyze CAT-tail synthesis. [ABSTRACT FROM AUTHOR]

The African swine fever virus (ASFV) is a huge and complex DNA virus that can lead to the acute death of pigs and cause huge losses to the global swine industry. The CD2v protein is a transmembrane protein encoded by the ASFV's EP402R gene, which can effectively inhibit the bystander lymphocyte proliferation in response to mitogens and mediate the absorption of red blood cells to ASFV-infected cells. The CD2v protein contains repetitive amino acid sequences ([KPCPPP]3 labeled as RAAS), which is reported as a genetic marker and an epitope. However, the specific biological function of the RAAS is unknown. Here, we have found that the truncated CD2v protein with RAAS can enter Chinese hamster ovary cells, but the truncated CD2v protein without RAAS cannot enter the cells. Also, the RAAS can carry the macromolecular protein EGFP to enter various cells through multiple endocytic processes that are dependent on time, concentration, and location. Besides, the RAAS enter the cells via the macropinocytosis or the clathrin-mediated endocytosis. These results indicate that the RAAS can function as a cell-penetrating peptide that provides a new insight for ASFV research and has potential application value as a tool for drug delivery. [ABSTRACT FROM AUTHOR]

The mitogenome of Liorhyssus hyalinus (Fabricius, 1794), decoded using next-generation sequencing, is the first report of Liorhyssus. The mitogenomic size was 16,355 bp with 41.99% A, 33.44% T, 14.53% C, and 10.05% G (OM328158). The phylogenetic tree, constructed with the amino acid sequences of 13 protein-coding genes, showed that L. hyalinus clustered together with other species in Rhopalidae, which supported the monophyly of each family in Pentatomomorpha. [ABSTRACT FROM AUTHOR]

Lepista sordida is a fairy ring-forming fungus that belongs to the family Tricholomataceae and is widely distributed in the Northern Hemisphere. Here, we report the complete mitochondrial genome sequence of L. sordida. The mitochondrial genome (57,375 bp) contained 20 protein-coding genes, 2 ribosomal RNA genes, and 26 transfer RNA genes. Phylogenetic analysis based on 14 conserved protein sequences from L. sordida and 15 related basidiomycetes showed that L. sordida was located on the outermost branch of the Tricholomataceae clade. This study is the first to report the complete mitochondrial genome sequence of a fairy ring-forming fungus belonging to the genus Lepista. [ABSTRACT FROM AUTHOR]

Family of Gastromyzontidae originates from China and Southeast Asia, which is widely distributed in the southern part of the Yangtze River. In this study, we sequenced seven fish complete mitogenomes from three of all 18 genera in the Gastromyzontidae on the Illumina HiSeq platform. Lengths of seven complete mitochondrial genome sequences varied from 16,554 to 16,574 bp, with an AT bias of 53.6–54.9%. Maximum-likelihood phylogenetic tree was reconstructed using the connected protein sequences of 13 protein-coding genes of 34 species of fish. The phylogeny revealed that the genera Gastromyzon, Sewellia, and Erromyzon were monophyletic, and other genera Beaufortia, Vanmanenia, Formosania, and Pseudogastromyzon were paraphyletic or polyphyletic. Phylogeny corrected the taxonomic status of Metahomaloptera omeiensis, which should be categorized under the family of Gastromyzontidae rather than Balitoridae, denoting the significance of this study to the overall fisheries research. [ABSTRACT FROM AUTHOR]