Non-redundant Protein Research Articles

Identification of Potential Growth-Related Proteins in Chick Vitreous during Emmetropization Using SWATH-MS and Targeted-Based Proteomics (MRMHR).

The vitreous humor (VH) is a transparent gelatin-like substance that occupies two-thirds of the eyeball and undergoes the most significant changes during eye elongation. Quantitative proteomics on the normal growth period in the VH could provide new insights into understanding its progression mechanism in the early stages of myopia. In this study, a data-independent acquisition (SWATH-MS) was combined with targeted LC-ESI-MS/MS to identify and quantify the relative protein changes in the vitreous during the normal growth period (4, 7, 14, 21 and 28 days old) in the chick model. Chicks were raised under normal growing conditions (12/12 h Dark/light cycle) for 28 days, where ocular measurements, including refractive and biometric measurements, were performed on days 4 (baseline), 7, 14, 21 and 28 (n = 6 chicks at each time point). Extracted vitreous proteins from individual animals were digested and pooled into a left eye pool and a right pool at each time point for protein analysis. The vitreous proteome for chicks was generated using an information-dependent acquisition (IDA) method by combining injections from individual time points. Using individual pool samples, SWATH-MS was employed to quantify proteins between each time point. DEPs were subsequently confirmed in separate batches of animals individually on random eyes (n = 4) using MRMHR between day 7 and day 14. Refraction and vitreous chamber depth (VCD) were found to be significantly changed (p < 0.05, n = 6 at each time point) during the period. A comprehensive vitreous protein ion library was built with 1576 non-redundant proteins (22987 distinct peptides) identified at a 1% false discovery rate (FDR). A total of 12 up-regulated and 26 down-regulated proteins were found across all time points compared to day 7 using SWATH-MS. Several DEPs, such as alpha-fetoprotein, the cadherin family group, neurocan, and reelin, involved in structural and growth-related pathways, were validated for the first time using MRMHR under this experimental condition. This study provided the first comprehensive spectral library of the vitreous for chicks during normal growth as well as a list of potential growth-related protein biomarker candidates using SWATH-MS and MRMHR during the emmetropization period.

Application of immunoinformatics to develop a novel and effective multiepitope chimeric vaccine against Variovorax durovernensis

Bloodstream infections pose a significant public health challenge caused by resistant bacteria such as Variovorax durovernensis, a recently reported Gram-negative bacterium, worsening the burden on healthcare systems. The design of a vaccine using chimeric peptides derived from a representative V. durovernensis strain holds significant promise for preventing disease onset. The current study aimed to employ reverse vaccinology (RV) approaches such as the retrieval of V. durovernensis proteomics data, removal of redundant proteins by CD-HIT, filtering of non-homologous proteins to humans and essential proteins, identification of outer membrane (OM) proteins by CELLO and PSORTb. Following these steps immunoinformatic approaches were applied, such as epitope prediction by IEDB, vaccine design using linkers and adjuvant andanalysis of antigenicity, allergenicity, safety and stability. Among the 4208 nonredundant proteins, an OmpA family protein (A0A940EKP4) was designated a potential candidate for the development of a multiepitope vaccine construct. Upon analysis of OM protein, six immunodominant (B cell) epitopes were found on the basis of the chimeric construct following the prediction of CTL stands cytotoxic T lymphocyte and HTL stands helper T lymphocyte epitopes. To ensure comprehensive population coverage globally, the CTL and HTL coverage rates were 58.18% and 46.56%, respectively, and 77.23% overall. By utilizing EAAAK, GPGPG, and AAY linkers, Cholera toxin B subunit adjuvants, and appropriate epitopes were smoothly incorporated into a chimeric vaccine effectively triggering both adaptive and innate immune responses. For example, the administered antigen showed a peak in counts on the fifthday post injection and then gradually declined until the fifteenth day. Elevated levels of several antibodies (IgG + IgM > 700,000; IgM > 600,000; IgG1 + IgG2; IgG1 > 500,000) were observed as decreased in the antigen concentration. Molecular dynamics simulations carried out via iMODS revealed strong correlations between residue pairs, highlighting the stability of the docked complex. The designed vaccine has promising potential in eliciting specific immunogenic responses, thereby facilitating future research for vaccine development against V. durovernensis.

In-depth comparative pathogenome, virulome, and resistome analysis of an extensive drug resistant Ralstonia mannitolilytica strain isolated from blood

IntroductionRalstonia mannitolilytica is an global opportunistic pathogen responsible for various diseases. In this study, we reported the genome of a R. mannitolilytica isolate responsible for bacteremia in an acute exacerbation of chronic obstructive pulmonary disease (AECOPD). MethodsBacterial identification was performed with a Vitek2™ Automated System and 16S rRNA sequencing with BLASTn against the Non-Redundant Protein Sequence (Nr) database. Genome sequencing and analysis were performed using PacBio RS II sequencer, Hierarchical Genome Assembly Process assembly, as well as multiple annotation databases to better understand the innate features. Antibiotic resistance genes and virulence factors were specifically identified through Antibiotic Resistance Genes database and Virulence Factors of Pathogenic Bacteria databases. ResultsThe complete genome sequence was assembled into two chromosomes with 3,495,817 bp and 1,342,871 bp in length and GC% of 65.37 % and 66.43 %, respectively. The two chromosomes were fully annotated. In chromosome 1 and 2, 19 and 14 antibiotic resistant genes and 48 and 55 virulence factors were predicted, respectively. Specifically, beta-lactam resistance genes blaOXA-443, blaOXA-444 were acquired. ConclusionsThis study aids in the understanding of the innate features of R. mannitolilytica in AECOPD.

First report of potato virus H infecting tomato (Solanum lycopersicum) in China.

Potato virus H (PVH), belonging to the genus Carlavirus in the family Betaflexiviridae, was initially discovered in potato plants in Inner Mongolia, China (Li et al., 2013). Subsequently, it was documented to infect pepino, a perennial shrub of the Solanaceae family like potatoes (Abouelnasr et al., 2014). Tomato (Solanum lycopersicum L.), a major global crop, faces threats from various plant viruses. In an open field survey in Yunnan, China during July 2023, tomatoes (cultivar: Liangsi) showed typical virus symptoms: leaf yellowing, curling, mottling, and fruit with abnormal shape and color. Eleven symptomatic tomato samples were collected for high-throughput sequencing to identify the potential pathogen. RNA sequencing libraries were prepared using the TruSeq RNA sample prep kit (Illumina, San Diego, CA, USA), followed by RNA-seq sequencing on an Illumina HiSeq4000 platform (LC Sciences, USA). Approximately 77,928,560 paired-end reads (150-bp each) were generated. After quality control, 75,808,296 reads were retained and subjected to de novo assembly using Trinity (version 2.8.5). The assembled contigs, ranging from 198 nt to 15865 nt, were used as queries to search against the NCBI non-redundant protein sequence database (NR) or nucleotide sequence database (NT) to detect the potential pathogens using BLASTx and BLASTn program with a cutoff e-value of 10-5. As a consequence, certain contigs were assigned to 3 plant viruses, including PVH (the highest RdRp blastx identity to UAD82396.1: 97.8%), Capsicum chlorosis virus (CaCV, the highest RdRp blastx identity to APQ31267.1: 98.4%), and southern tomato virus (STV, the highest CP-RdRp fusion protein blastx identity to QOW17541.1: 99.74%). The presence of the identified 3 viruses was subsequently screened in the 11 tomato samples originally collected from the corresponding field. Notably, the specific detection primers for the PVH genome was designed from the newly assembled PVH genome (Forward primer: 5'- ATAGTTGTGCACTGTGTGCCTG-3'; Reverse primer: 5'-GCTTAAGGTTCTTAGCGTATTC-3'), targeting ~1.1kb. Consequently, PVH was detected in 3 out of 11 samples: 2 leaf samples and 1 fruit sample, with one leaf sample showing a single infection. The complete genome sequence of PVH in tomatoes (PVH-tomato) was successfully obtained by assembling nine overlapping regions spanning the entire PVH-tomato genome, following the RT-PCR and the 5' RACE and 3' RACE approaches, and deposited in NCBI nucleotide database with accession number OR397130.1Phylogenetic analysis based on the full genome sequences of PVH-tomato and other publicly available PVH isolates revealed that PVH-tomato was closely related to a PVH isolate found in potatoes in Yunnan (blastn similarity: 97.76%) (Fig. S1A). To test PVH-tomato infectivity and pathogenicity, four healthy Nicotiana benthamiana and four healthy tomato plants were mechanically inoculated with PVH-infected leaf sap; controls used sap from healthy plants. Three weeks post-inoculation, all N. benthamiana (4/4) and three tomato plants (3/4) were PVH-positive by RT-PCR. Symptoms were milder in N. benthamiana, and only two tomato plants (2/4) showed leaf curling. No PVH was detected in control samples (Figure S1B, S1C). Sanger sequencing confirmed the amplicons' expected length of 1093 bp. Previously, PVH was documented only in potato and pepino. This is the first report of tomatoes as natural PVH hosts and PVH infecting N. benthamiana under lab conditions.

Decoding Octopus Skin Mucus: Impact of Aquarium-Maintenance and Senescence on the Proteome Profile of the Common Octopus (Octopus vulgaris).

The common octopus (Octopus vulgaris) is an excellent candidate for aquaculture diversification, due to its biological traits and high market demand. To ensure a high-quality product while maintaining welfare in captive environments, it is crucial to develop non-invasive methods for testing health biomarkers. Proteins found in skin mucus offer a non-invasive approach to monitoring octopus welfare. This study compares the protein profiles in the skin mucus of wild, aquarium-maintained, and senescent specimens to identify welfare biomarkers. A tandem mass tag (TMT) coupled with an Orbitrap Eclipse Tribrid mass spectrometer was used to create a reference dataset from octopus skin mucus, identifying 1496 non-redundant protein groups. Although similar profiles were observed, differences in relative abundances led to the identification of potential biomarkers, including caspase-3-like, protocadherin 4, deleted in malignant brain tumors, thioredoxin, papilin, annexin, cofilin and mucin-4 proteins. Some of these proteins also revealed potential as bioactive peptides. This investigation provides the most extensive analysis of the skin mucus proteome in the common octopus and is the first to explore how aquarium maintenance and senescence alter the mucus proteome. This research highlights the potential of skin mucus protein/peptides as non-invasive monitoring biomarkers in cultured animals.

De novo assembly of sialotranscriptome of Hyalomma anatolicum and insights into expression dynamics in response to Theileria annulata infection.

Hyalomma anatolicum is a tick of significant one-health importance due to its role as a vector for various pathogens affecting humans, animals and the environment, such as Theileria annulata, which causes tropical theileriosis in cattle, leading to severe economic losses. When infected with pathogens like T. annulata, the salivary glands of H. anatolicum undergo gene expression changes, secrete modified proteins and activate immune responses, all of which facilitate pathogen survival and transmission by modulating the host immune response and optimizing conditions for pathogen development. Understanding these responses is crucial for developing control strategies for tick-borne diseases. To understand the interaction between H. anatolicum and T. annulata, we performed a differential gene expression analysis of H. anatolicum salivary glands. An average of approximately 25 million raw sequencing reads were generated in each replicate using Illumina Sequencing. The sequenced reads were de novo assembled and the assembled transcriptome yielded approximately 50,231 non-redundant transcripts after clustering with CD-HIT using a sequence identity of 95% and alignment coverage of 90%. The assembly quality was evaluated with BUSCO analysis and found to be 86% complete using the Arachnida dataset and then blasted against non-redundant protein sequence database from NCBI followed by counting of reads and differential expression analysis. Overall, around 2400 and 400 genes were found differentially expressed with logFC > 1 and logFC > 2 respectively at FDR < 0.05. Top up-regulated genes included Calpain, Papilin, Neprilysin, and Ankyrin repeat-containing protein. Top down-regulated genes included Scoloptoxin, and Selenoprotein S and other uncharacterized proteins. Many other up-regulated proteins with high significance were uncharacterized suggesting room for further H. anatolicum functional and structural characterization studies. To our best knowledge, this is the first study of H. anatolicum sialotranscriptome which greatly contributes to sialotranscriptome information not only as sequence database but also indicates the potential targets for development of vaccine against ticks and transmission-blocking vaccines against T. annulata.

Structure prediction of alternative protein conformations

Proteins are dynamic molecules whose movements result in different conformations with different functions. Neural networks such as AlphaFold2 can predict the structure of single-chain proteins with conformations most likely to exist in the PDB. However, almost all protein structures with multiple conformations represented in the PDB have been used while training these models. Therefore, it is unclear whether alternative protein conformations can be genuinely predicted using these networks, or if they are simply reproduced from memory. Here, we train a structure prediction network, Cfold, on a conformational split of the PDB to generate alternative conformations. Cfold enables efficient exploration of the conformational landscape of monomeric protein structures. Over 50% of experimentally known nonredundant alternative protein conformations evaluated here are predicted with high accuracy (TM-score > 0.8).

Characterization, whole-genome sequence analysis, and protease production of a new thermophilic Bacillus licheniformis strain isolated from Debagh hot spring, Algeria.

A new thermophilic strain, designated as Bacillus sp. LMB3902, was isolated from Hammam Debagh, the hottest spring in Algeria (up to 98°C). This isolate showed high protease production in skim milk media at 55°C and exhibited significant specific protease activity by using azocasein as a substrate (157.50 U/mg). Through conventional methods, chemotaxonomic characteristics, 16S rRNA gene sequencing, and comparative genomic analysis with the closely related strain Bacillus licheniformis DSM 13 (ATCC 14580T), the isolate Bacillus sp. LMB3902 was identified as a potentially new strain of Bacillus licheniformis. In addition, the gene functions of Bacillus sp. LMB3902 strain were predicted using the Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Clusters of Orthologous Groups, Non-Redundant Protein Sequence Database, Swiss-Prot, and Pfam databases. The results showed that the genome size of Bacillus sp. LMB3902 was 4.279.557bp, with an average GC content of 46%. The genome contained 4.760 predicted genes, including 8 rRNAs, 78 tRNAs, and 24 sRNAs. A total of 235 protease genes were annotated including 50 proteases with transmembrane helix structures and eight secreted proteases with signal peptides. Additionally, the majority of secondary metabolites found by antiSMASH platform showed low similarity to identified natural products, such as fengicin (53%), lichenysin (57%), and surfactin (34%), suggesting that this strain may encode for novel uncharacterized natural products which can be useful for biotechnological applications. This study is the first report that describes the complete genome sequence, taxono-genomics, and gene annotation as well as protease production of the Bacillus genus in this hydrothermal vent.

Identification of potential differences in salivary proteomic profiles between estrus and diestrus stage of estrous cycle in dairy cows

In the present study, a comparative global high-throughput proteomic analysis strategy was used to identify proteomic differences between estrus and diestrus stage of estrous cycle in dairy cows. Saliva was collected from cows during estrus and diestrus, and subjected to LC-MS/MS-based proteomic analysis. A total of 2842 proteins were detected in the saliva of cows, out of which, 2437 and 1428 non-redundant proteins were identified in estrous and diestrous saliva, respectively. Further, it was found that 1414 and 405 salivary proteins were specific to estrus and diestrus, respectively while 1023 proteins were common to both groups. Among the significantly dysregulated proteins, the expression of 56 proteins was down-regulated (abundance ratio <0.5) while 40 proteins were up-regulated (abundance ratio > 2) in estrous compared to diestrous saliva. The proteins, such as HSD17B12, INHBA, HSP70, ENO1, SRD5A1, MOS, AMH, ECE2, PDGFA, OPRK1, SYN1, CCNC, PLIN5, CETN1, AKR1C4, NMNAT1, CYP2E1, and CYP19A1 were detected only in the saliva samples derived from estrous cows. Considerable number of proteins detected in the saliva of estrous cows were found to be involved in metabolic pathway, PI3K-Akt signaling pathway, toll-like receptor signaling pathway, steroid biosynthesis pathway, insulin signaling pathway, calcium signaling pathway, estrogen signaling pathway, oxytocin signaling pathway, TGF-β signaling pathway and oocyte meiosis. On the other hand, proteins detected in saliva of diestrous cows were involved mainly in metabolic pathway. Collectively, these data provide preliminary evidence of a potential difference in salivary proteins at different stages of estrous cycle in dairy cows.

Comparative Transcriptome Analysis of Henosepilachna vigintioctomaculata Reveals Critical Pathways during Development.

Henosepilachna vigintioctomaculata is distributed in several Asian countries. The larvae and adults often cause substantial economic losses to Solanaceae crops such as potato, tomato, eggplant, and Chinese boxthorn. Even though a chromosome-level genome has been documented, the expression profiles of genes involved in development are not determined. In this study, we constructed embryonic, larval, pupal, and adult transcriptomes, generated a comprehensive RNA-sequencing dataset including ~52 Gb of clean data, and identified 602,773,686 cleaned reads and 33,269 unigenes. A total of 18,192 unigenes were successfully annotated against NCBI nonredundant protein sequences, Swissprot, Eukaryotic Orthologous Groups, Gene Ontology (GO), or Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. There were 3580, 2040, 5160, 2496, 3008, and 3895 differentially expressed genes (DEGs) between adult/egg, egg/larval, larval/pupal, adult/pupal, egg/pupal, and adult/larval samples, respectively. GO and KEGG analyses of the DEGs highlighted several critical pathways associated with specific developing stages. This is the first comprehensive transcriptomic dataset encompassing all developmental stages in H. vigintioctomaculata. Our data may facilitate the exploitation of gene targets for pest control and can serve as a valuable gene resource for future molecular investigations.

Transcriptome sequencing of medical herb Salvia Rosmarinus (Rosemary) revealed the phenylpropanoid biosynthesis pathway genes and their phylogenetic relationships.

The Salvia rosmarinus spenn. (rosemary) is considered an economically important ornamental and medicinal plant and is widely utilized in culinary and for treating several diseases. However, the procedure behind synthesizing secondary metabolites-based bioactive compounds at the molecular level in S. rosmarinus is not explored completely. We performed transcriptomic sequencing of the pooled sample from leaf and stem tissues on the Illumina HiSeqTM X10 platform. The transcriptomics analysis led to the generation of 29,523,608 raw reads, followed by data pre-processing which generated 23,208,592 clean reads, and de novo assembly of S. rosmarinus obtained 166,849 unigenes. Among them, nearly 75.1% of unigenes i.e., 28,757 were interpreted against a non-redundant protein database. The gene ontology-based annotation classified them into 3 main categories and 55 sub-categories, and clusters of orthologous genes annotation categorized them into 23 functional categories. The Kyoto Encyclopedia of Genes and Genomes database-based pathway analysis confirmed the involvement of 13,402 unigenes in 183 biochemical pathways, among these unigenes, 1,186 are involved in the 17 secondary metabolite production pathways. Several key enzymes involved in producing aromatic amino acids and phenylpropanoids were identified from the transcriptome database. Among the identified 48 families of transcription factors from coding unigenes, bHLH, MYB, WRKYs, NAC, C2H2, C3H, and ERF are involved in flavonoids and other secondary metabolites biosynthesis. The phylogenetic analysis revealed the evolutionary relationship between the phenylpropanoid pathway genes of rosemary with other members of Lamiaceae. Our work reveals a new molecular mechanism behind the biosynthesis of phenylpropanoids and their regulation in rosemary plants.

Decoding Arabidopsis thaliana CPK/SnRK Superfamily Kinase Client Signaling Networks Using Peptide Library and Mass Spectrometry.

Members of the calcium-dependent protein kinase (CDPK/CPK) and SNF-related protein kinase (SnRK) superfamilies are commonly found in plants and some protists. Our knowledge of client specificity of the members of this superfamily is fragmentary. As this family is represented by over 30 members in Arabidopsis thaliana, the identification of kinase-specific and overlapping client relationships is crucial to our understanding the nuances of this large family of kinases as directed towards signal transduction pathways. Herein, we used the kinase client (KiC) assay-a relative, quantitative, high-throughput mass spectrometry-based in vitro phosphorylation assay-to identify and characterize potential CPK/SnRK targets of Arabidopsis. Eight CPKs (1, 3, 6, 8, 17, 24, 28, and 32), four SnRKs (subclass 1 and 2), and PPCK1 and PPCK2 were screened against a synthetic peptide library that contains 2095 peptides and 2661 known phosphorylation sites. A total of 625 in vitro phosphorylation sites corresponding to 203 non-redundant proteins were identified. The most promiscuous kinase, CPK17, had 105 candidate target proteins, many of which had already been discovered. Sequence analysis of the identified phosphopeptides revealed four motifs: LxRxxS, RxxSxxR, RxxS, and LxxxxS, that were significantly enriched among CPK/SnRK clients. The results provide insight into both CPK- and SnRK-specific and overlapping signaling network architectures and recapitulate many known in vivo relationships validating this large-scale approach towards discovering kinase targets.

MoLPC2: improved prediction of large protein complex structures and stoichiometry using Monte Carlo Tree Search and AlphaFold2.

Today, the prediction of structures of large protein complexes solely from their sequence information requires prior knowledge of the stoichiometry of the complex. To address this challenge, we have enhanced the Monte Carlo Tree Search algorithms in MoLPC to enable the assembly of protein complexes while simultaneously predicting their stoichiometry. In MoLPC2, we have improved the predictions by allowing sampling alternative AlphaFold predictions. Using MoLPC2, we accurately predicted the structures of 50 out of 175 nonredundant protein complexes (TM-score ≥ 0.8) without knowing the stoichiometry. MoLPC2 provides new opportunities for predicting protein complex structures without stoichiometry information. MoLPC2 is freely available at https://github.com/hychim/molpc2. A notebook is also available from the repository for easy use.

Unveiling the mysteries: Functional insights into hypothetical proteins from Bacteroides fragilis 638R

Humans benefit from a vast community of microorganisms in their gastrointestinal tract, known as the gut microbiota, numbering in the tens of trillions. An imbalance in the gut microbiota known as dysbiosis, can lead to changes in the metabolite profile, elevating the levels of toxins like Bacteroides fragilis toxin (BFT), colibactin, and cytolethal distending toxin. These toxins are implicated in the process of oncogenesis. However, a significant portion of the Bacteroides fragilis genome consists of functionally uncharacterized and hypothetical proteins. This study delves into the functional characterization of hypothetical proteins (HPs) encoded by the Bacteroides fragilis genome, employing a systematic in silico approach. A total of 379 HPs were subjected to a BlastP homology search against the NCBI non-redundant protein sequence database, resulting in 162 HPs devoid of identity to known proteins. CDD-Blast identified 106 HPs with functional domains, which were then annotated using Pfam, InterPro, SUPERFAMILY, SCANPROSITE, SMART, and CATH. Physicochemical properties, such as molecular weight, isoelectric point, and stability indices, were assessed for 60 HPs whose functional domains were identified by at least three of the aforementioned bioinformatic tools. Subsequently, subcellular localization analysis was examined and the gene ontology analysis revealed diverse biological processes, cellular components, and molecular functions. Remarkably, E1WPR3 was identified as a virulent and essential gene among the HPs. This study presents a comprehensive exploration of B. fragilis HPs, shedding light on their potential roles and contributing to a deeper understanding of this organism's functional landscape.

Genome Characteristics of the Endophytic Fungus Talaromyces sp. DC2 Isolated from Catharanthus roseus (L.) G. Don.

Talaromyces sp. DC2 is an endophytic fungus that was isolated from the stem of Catharanthus roseus (L.) G. Don in Hanoi, Vietnam and is capable of producing vinca alkaloids. This study utilizes the PacBio Sequel technology to completely sequence the whole genome of Talaromyces sp. DC2The genome study revealed that DC2 contains a total of 34.58 Mb spanned by 156 contigs, with a GC content of 46.5%. The identification and prediction of functional protein-coding genes, tRNA, and rRNA were comprehensively predicted and highly annotated using various BLAST databases, including non-redundant (Nr) protein sequence, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Clusters of Orthologous Groups (COG), and Carbohydrate-Active Enzymes (CAZy) databases. The genome of DC2 has a total of 149, 227, 65, 153, 53, and 6 genes responsible for cellulose, hemicellulose, lignin, pectin, chitin, starch, and inulin degradation, respectively. The Antibiotics and Secondary Metabolites Analysis Shell (AntiSMASH) analyses revealed that strain DC2 possesses 20 biosynthetic gene clusters responsible for producing secondary metabolites. The strain DC2 has also been found to harbor the DDC gene encoding aromatic L-amino acid decarboxylase enzyme. Conclusively, this study has provided a comprehensive understanding of the processes involved in secondary metabolites and the ability of the Talaromyces sp. DC2 strain to degrade plant cell walls.

Proteomic and metabolomic insights into seed germination of Ferula assa-foetida

Cold stratification is known to affect the speed of seed germination; however, its regulation at the molecular level in Ferula assa-foetida remains ambiguous. Here, we used cold stratification (4 °C in the dark) to induce germination in F. assa-foetida and adopted a proteomic and metabolomic approach to understand the molecular mechanism of germination. Compared to the control, we identified 209 non-redundant proteins and 96 metabolites in germinated F. assa-foetida seed. Results highlight the common and unique regulatory mechanisms like signaling cascade, reactivation of energy metabolism, activation of ROS scavenging system, DNA repair, gene expression cascade, cytoskeleton, and cell wall modulation in F. assa-foetida germination. A protein-protein interaction network identifies 18 hub protein species central to the interactome and could be a key player in F. assa-foetida germination. Further, the predominant metabolic pathways like glucosinolate biosynthesis, arginine and proline metabolism, cysteine and methionine metabolism, aminoacyl-tRNA biosynthesis, and carotenoid biosynthesis in germinating seed may indicate the regulation of carbon and nitrogen metabolism is prime essential to maintain the physiology of germinating seedlings. The findings of this study provide a better understanding of cold stratification-induced seed germination, which might be utilized for genetic modification and traditional breeding of Ferula assa-foetida. SignificanceSeed germination is the fundamental checkpoint for plant growth and development, which has ecological significance. Ferula assa-foetida L., commonly known as “asafoetida,” is a medicinal and food crop with huge therapeutic potential. To date, our understanding of F. assa-foetida seed germination is rudimentary. Therefore, studying the molecular mechanism that governs dormancy decay and the onset of germination in F. assa-foetida is essential for understanding the basic principle of seed germination, which could offer to improve genetic modification and traditional breeding.

Genetic characterization, structural analysis, and detection of positive selection in small heat shock proteins of Cypriniformes and Clupeiformes.

In the current investigation, a total of 42 full-length, non-redundant small heat shock proteins (sHsp) were detected in Cyprinus carpio, Labeo rohita, Danio rerio, Salmo salar, Oncorhynchus mykiss, and Clupea harengus. The sHsp genes were classified into three groups based on phylogenetic analysis. All the sHsps were shown to have higher aliphatic index values, which is an indication that these proteins are more thermally stable. The hydrophilic nature of sHsps was deduced from the fact that all fish species had negative GRAVY scores. In all of the representative fish species, sHsp genes were assigned to distinct chromosomes in an inconsistent and unequal manner. Segmental duplications are the main events that have contributed to the expansion of the sHsp genes in all species. We were also able to determine the selective pressure that was placed on particular codons and discovered several significant coding sites within the coding region of sHsps. Eventually, diversifying positive selection was found to be connected with evolutionary changes in sHsp proteins, which showed that gene evolution controlled the fish adaption event in response to environmental conditions. Clarification of the links between sHsps and environmental stress in fish will be achieved through rigorous genomic comparison, which will also yield substantial new insights.

Transcriptomic analysis of nitrogen metabolism pathways in Klebsiella aerogenes under nitrogen-rich conditions.

The acceleration of the nitrogen cycle and the nitrogen excess observed in some coastal waters has increased interest into understanding the biochemical and molecular basis of nitrogen metabolism in various microorganisms. To investigate nitrogen metabolism of a novel heterotrophic nitrification and aerobic denitrification bacterium Klebsiella aerogenes strain (B23) under nitrogen-rich conditions, we conducted physiological and transcriptomic high-throughput sequencing analyses on strain B23 cultured on potassium nitrate-free or potassium nitrate-rich media. Overall, K. aerogenes B23 assimilated 82.47% of the nitrate present into cellular nitrogen. Further, 1,195 differentially expressed genes were observed between K. aerogenes B23 cultured on potassium nitrate-free media and those cultured on potassium nitrate-rich media. Gene annotation and metabolic pathway analysis of the transcriptome were performed using a series of bioinformatics tools, including Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Non-Redundant Protein Database annotation. Accordingly, the nitrogen metabolism pathway of K. aerogenes B23 was analyzed; overall, 39 genes were determined to be involved in this pathway. Differential expression analysis of the genes involved in the nitrogen metabolism pathway demonstrated that, compared to the control, FNR, NarK/14945, fdx, gshA, proB, proA, gapA, argH, artQ, artJ, artM, ArgR, GAT1, prmB, pyrG, glnS, and Ca1 were significantly upregulated in the nitrogen-treated K. aerogenes B23; these genes have been established to be involved in the regulation of nitrate, arginine, glutamate, and ammonia assimilation. Further, norV, norR, and narI were also upregulated in nitrogen-treated K. aerogenes B23; these genes are involved in the regulation of NO metabolism. These differential expression results are important for understanding the regulation process of key nitrogen metabolism enzyme genes in K. aerogenes B23. Therefore, this study establishes a solid foundation for further research into the expression regulation patterns of nitrogen metabolism-associated genes in K. aerogenes B23 under nitrogen-rich conditions; moreover, this research provides essential insight into how K. aerogenes B23 utilizes nutritional elements.

Exploring a GtfB-Type 4,6-α-Glucanotransferase to Synthesize the (α1 → 6) Linkages in Linear Chain and Branching Points from Amylose and Enhance the Functional Property of Granular Corn Starches.

Starch-converting α-glucanotransferases of glycoside hydrolase family 70 (GH70) are promising enzymatic tools for the production of diverse α-glucans with (potential) commercial applications in food and health and as biomaterials. In this study, a novel GtfB enzyme from Weissella confusa MBF8-1 was screened in the National Center for Biotechnology Information (NCBI) nonredundant protein database. The enzyme (named WcMBF8-1 GtfB) displayed high conservation in motifs I-IV with other GtfB enzymes but possessed unique variations in several substrate-binding residues. Structural characterizations of its α-glucan products revealed that WcMBF8-1 GtfB exhibited an atypical 4,6-α-glucanotransferase activity and was capable of catalyzing, by cleaving off (α1 → 4)-linkages in starch-like substrates and the synthesis of linear (α1 → 6) linkages and (α1 → 4,6) branching points. The product specificity enlarges the diversity of α-glucans and facilitates recognition of the determinants of the linkage specificity in GtfB enzymes. Furthermore, the contents of slowly digestible starch and resistant starch of granular corn starches, modified by WcMBF8-1 GtfB, increased by 6.7%, which suggested the potential value for the utilization of WcMBF8-1 GtfB to prepare "clean-label" starch ingredients with improved functional attributes.

Whole-genome sequencing of a protease-producing strain isolated from fermented golden pompano and molecular docking of the protease to fish proteins

In fermented fish products, microorganisms catalyze protein degradation by secreting proteases, thereby altering the nutritional values of foods. In this study, we isolated a high proteinase-producing strain from fermented golden pompano (Trachinotus ovatus), and from the 16S rRNA, we identified the strain as Bacillus tropicus, which we named Bacillus tropicus MX-8. This strain could form a distinct proteolytic circle around the colony when plated on agar containing 3% skimmed milk powder and could grow under 0–5% salinity. Its protease significantly degraded fish proteins. Genome sequencing analysis revealed that the genome of B. tropicus MX-8 comprised one circular chromosome and three circular plasmids. A total of 27 genes encoding proteases, including a neutral protease and three serine proteases, were identified in the non-redundant protein database. Homology modeling showed that serine protease 2 had the best model quality and the highest sequence match. Molecular docking experiments revealed the presence of several amino acid active sites on serine protease 2. These active sites mainly rely on hydrogen bonding to interact with actin heavy chains and myosin to form complexes, which can promote further protein degradation. This study demonstrated that B. tropicus MX-8 has the potential to ferment fish, providing a theoretical basis for the production of rapidly fermented fish products.