3 Biotech最新文献

As one of the most prevalent malignancies, lung cancer displays considerable biological variability in both molecular and clinical characteristics. Lung cancer is broadly categorized into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) with the latter being most prevalent. The primary histological subtypes of NSCLC are lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). In the present work, we primarily extracted mRNA count data from a publicly accessible database followed by differentially expressed genes (DEGs) and differentially expressed mitophagy-related genes (DEMRGs) identification in case of both LUAD and LUSC cohorts. Next, we identified important DEMRGs via clustering approach followed by enrichment, survival, and mutational analyses. Lastly, the finalized prognostic biomarker was validated using wet-lab experimentations. Primarily, we obtained 986 and 1714 DEGs across LUAD and LUSC cohorts. Only 7 DEMRGs from both cohorts had significant membership values as indicated by the clustering analysis. Most significant pathway, Gene Ontology (GO)-biological process (BP), GO-molecular function (MF), GO-cellular compartment (CC) terms were macroautophagy, GTP metabolic process, magnesium ion binding, mitochondrial outer membrane. Among all, only TDRKH reported significant overall survival (OS) and 14% amplification across LUAD patients. Lastly, we validated TDRKH via immunohistochemistry (IHC) and semi-quantitative polymerase chain reaction (PCR). In conclusion, our findings advocate for the exploration of TDRKH and their genetic alterations in precision oncology therapeutic approaches for LUAD, emphasizing the potential for target-driven therapy and early diagnostics.

Supplementary information: The online version contains supplementary material available at 10.1007/s13205-024-04127-y.

R2R3-MYBs are an important group of transcription factors that regulate crucial developmental processes across the plant kingdom; yet no comprehensive analysis of the R2R3-MYBs in the early-diverging eudicot clade of Ranunculaceae has been conducted so far. In the present study, Aquilegia coerulea is chosen to understand the extent of conservation and divergence of R2R3-MYBs as a representative of the family by analysing the genomic distribution, organization, gene structure, physiochemical properties, protein architecture, evolution and possible mode of expansion. Genome-wide analysis showed the presence of 82 putative homologues classified into 21 subgroups, based on phylogenetic analysis of full-length protein sequences. The domain has remained largely conserved across all homologues with few differences from the characterized Arabidopsis thaliana R2R3-MYBs. The topology of the phylogenetic tree remains the same when full-length protein sequences are used, indicating that the evolution of R2R3-MYBs is driven by the domain region only. This is supported by the presence of similar structures of exon-intron and conserved motifs within the same subgroup. Furthermore, comparisons of the AqcoeR2R3-MYB members with monocots and core-eudicots revealed the evolutionary expansion of a few functional clades, such as A. thaliana R2R3-MYB subgroup 6 (SG6), the upstream regulatory factors of floral pigment biosynthesis and floral color. The reconstructed evolutionary history of SG6-like genes across angiosperms highlights the occurrence of independent duplication events in the genus Aquilegia. AqcoeR2R3-MYB genes are present in all seven chromosomes of A. coerulea, most of which result from local and segmental duplications. Selection analysis of these duplicated gene pairs indicates purifying selection except one, and the physiochemical analyses of R2R3-MYBs reveal differences among the MYBs signifying their functional diversification. This study paves the way for further investigation of paralogous copies and their probable role in the evolution of different floral traits in A. coerulea. It lays the foundation for functional genomic studies of R2R3-MYBs in the basal eudicots and facilitates comparative studies among angiosperms. The work also provides a framework for deciphering novel genetic regulatory pathways that govern the diversity of floral morphology.

Supplementary information: The online version contains supplementary material available at 10.1007/s13205-024-04119-y.

The purpose of this study was to investigate the optimum conditions, including aerobic and anoxic conditions, for operating a long-term bioreactor system to decrease the toxicity of industrial electroplating wastewater effluents containing metal cyanide using Agrobacterium tumefaciens SUTS 1 and Pseudomonas monteilii SUTS 2. The initial results revealed that bacteria performed better under aerobic conditions than under anoxic conditions. An aerobic bioreactor system was subsequently set up in a long-term study lasting 30 days under optimum operating conditions. Both mixed-culture bacteria and indigenous bacteria promoted the high-efficiency treatment of cyanide and metals in the first 7 days of the study. When the system had high removal rates, cyanide removal was greater than that of zinc, copper, nickel, and chromium (CN^- > Zn > Cu > Ni > Cr), with removal efficiencies of 96.67%, 93.93%, 74.17%, 63.43%, and 44.65%, respectively, with residual concentrations of 0.15 ± 0.01, 0.24 ± 0.005, 0.03 ± 0.002, 18.41 ± 0.06 and 14.26 ± 0.15 mg/L, respectively. The cell concentration in the bioreactor increased to approximately 10⁷ CFU/mL over 30 days from initial cell concentrations of 6.15 × 10⁵ CFU/mL and 1.05 × 10³ CFU/mL for the mixed culture and indigenous inoculation, respectively. These results implied that the bacteria were resistant to heavy metal toxicity. The addition of an appropriate carbon source with sufficient aeration to a bioreactor resulted in increased cyanide degradation.

In this study, high-throughput sequencing (HTS) technology was used to investigate the composition and diversity of endophytic bacteria and their effects on succinic acid biosynthesis in P. ternata tubers from three different geographical locations (MS, SL, and ZT). A total of 1777 amplicon sequence variants (ASVs) were annotated, and the diversity and composition of endophytic bacteria in P. ternata tubers were significantly different among different regions. The ZT samples presented the highest α diversity, and the Shannon diversity, richness, and Pielou evenness index were all ZT > MS > SL. Co-occurrence network analysis revealed that endophytic bacterial groups such as Stenotrophomonas, Pseudomonas, Mycobacterium, and Chryseomicrobium were key groups in the endophytic bacterial interaction network, indicating that they play a role in maintaining community stability. In addition, some endophytic bacteria were associated with the biosynthesis of succinic acid, a key bioactive compound in P. ternata. The succinate content was positively correlated with the genera Brevundimonas, Ensifer, Nocardioides, and Paenibacillus, while it was negatively correlated with the genera Lentimicrobium, Anaerovorax, and Pajaroellobacter. These findings highlight the key role of endophytic bacteria in regulating the efficacy of P. ternata. These findings provide key information for further elucidating the mechanism by which endophytic bacteria affect the synthesis of bioactive compounds.

Understanding the effects of microorganisms on coffee fermentation is crucial to ensure sensory quality and food security. The analysis of the dynamics of the microbial community during fermentation can contribute to a better understanding of the beneficial and harmful effects of microorganisms and help select starter cultures to improve coffee quality. Furthermore, the anaerobic environment produced by carbonic maceration of the coffee fruits inhibits aerobic respiratory processes and stimulates fermentative metabolism, modulating the microbial community during coffee fermentation. This study evaluated the effects of carbonic maceration in the fungal community dynamics during the fermentation of Coffea arabica fruits at 18, 28, and 38 °C for 24, 48, 72, 96, and 120 h. Fungal diversity was accompanied by high-throughput sequencing (NGS) of the Internal Transcribed Spacer (ITS) region. During the coffee fermentation, the fungal community changed over time, with the most significant changes occurring at 18 and 28 °C after 72 h. However, at 38 °C, there were greater variations in fungal composition and fungal diversity was highest after 120 h. The yeast Pichia cephalocereana was predominant in the fermentations. These results indicated that temperature and fermentation conditions influence the fungal community during coffee fermentation. Lower temperatures might favor a more stable microbial environment, while higher temperatures lead to more intense changes. Thus, our data from NGS can help in the identification, isolation, and metabolic characterization of fungi for the fermentation of coffee fruits.

The Caridina pseudogracilirostris is commonly found in the brackish waters of the southwestern coastal regions of India. This study provides a comprehensive genomic investigation of the shrimp species C. pseudogracilirostris, offering insights into its genetic makeup, evolutionary dynamics, and functional annotations. The genomic DNA was isolated from tissue samples, sequenced using next-generation sequencing (NGS), and stored in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database (Accession No: PRJNA847710). De novo sequencing indicated a genome size of 1.31 Gbp with a low heterozygosity of about 0.81%. Repeat masking and annotation revealed that repeated elements constitute 24.60% of the genome, with simple sequence repeats (SSRs) accounting for 7.26%. Gene prediction identified 14,101 genes, with functional annotations indicating involvement in critical biological processes such as development, cellular function, immunological responses, and reproduction. Furthermore, phylogenetic analysis revealed genomic links among Malacostraca species, indicating gene duplication as a strategy for genetic diversity and adaptation. C. pseudogracilirostris has 1,856 duplicated genes, reflecting a distinct genomic architecture and evolutionary strategy within the Malacostraca branch. These findings enhance our understanding of the genetic characteristics and evolutionary relationships of C. pseudogracilirostris, providing significant insights into the overall evolutionary dynamics of the Malacostraca group.

Supplementary information: The online version contains supplementary material available at 10.1007/s13205-024-04121-4.

The microbiota-gut-brain axis involves complex bidirectional communication through neural, immune, and endocrine pathways. Microbial metabolites, such as short-chain fatty acids, influence gut motility and brain function by interacting with gut receptors and modulating hormone release. Additionally, microbial components such as lipopolysaccharides and cytokines can cross the gut epithelium and the blood-brain barrier, impacting immune responses and cognitive function. Ex vivo models, which preserve gut tissue and neural segments, offer insight into localized gut-brain communication by allowing for detailed study of nerve excitability in response to microbial signals, but they are limited in systemic complexity. Miniaturized in vitro models, including organ-on-chip platforms, enable precise control of the cellular environment and simulate complex microbiota-host interactions. These systems allow for the study of microbial metabolites, immune responses, and neuronal activity, providing valuable insights into gut-brain communication. Despite challenges such as replicating long-term biological processes and integrating immune and hormonal systems, advancements in bioengineered platforms are enhancing the physiological relevance of these models, offering new opportunities for understanding the mechanisms of the microbiota-gut-brain axis. This review aims to describe the ex vivo and miniaturized in vitro models which are used to mimic the in vivo conditions and facilitate more precise studies of gut brain communication.

Fusion transcripts (FTs) are well known cancer biomarkers, relatively understudied in plants. Here, we developed PFusionDB (www.nipgr.ac.in/PFusionDB), a novel plant-specific fusion-transcript database. It is a comprehensive repository of 80,170, 39,108, 83,330, and 11,500 unique fusions detected in 1280, 637, 697, and 181 RNA-Seq samples of Arabidopsis thaliana, Oryza sativa japonica, Oryza sativa indica, and Cicer arietinum respectively. Here, a total of 76,599 (Arabidopsis thaliana), 35,480 (Oryza sativa japonica), 72,099 (Oryza sativa indica), and 9524 (Cicer arietinum) fusion transcripts are non-recurrent i.e., only found in one sample. Identification of FTs was performed by using a total of five tools viz. EricScript-Plants, STAR-Fusion, TrinityFusion, SQUID, and MapSplice. At PFusionDB, available fundamental details of fusion events includes the information of parental genes, junction sequence, expression levels of fusion transcripts, breakpoint coordinates, strand information, tissue type, treatment information, fusion type, PFusionDB ID, and Sequence Read Archive (SRA) ID. Further, two search modules: 'Simple Search' and 'Advanced Search', along with a 'Browse' option to data download, are present for the ease of users. Three distinct modules viz. 'BLASTN', 'SW Align', and 'Mapping' are also available for efficient query sequence mapping and alignment to FTs. PFusionDB serves as a crucial resource for delving into the intricate world of fusion transcript in plants, providing researchers with a foundation for further exploration and analysis. Database URL: www.nipgr.ac.in/PFusionDB.

Supplementary information: The online version contains supplementary material available at 10.1007/s13205-024-04132-1.

Co-infection with novel goose parvovirus (NGPV) and novel duck reovirus (NDRV) is common, significantly impeding duck growth and resulting in considerable economic losses within the duck farming industry. To facilitate rapid and accurate diagnosis and differentiation of these two viruses, this study developed a SYBR Green I-based duplex real-time quantitative polymerase chain reaction (qPCR) assay. This assay enabled the simultaneous detection of NGPV and NDRV by exploiting their distinct melting temperatures (Tm): 78.5 ± 0.50 °C for NGPV and 84.5 ± 0.50 °C for NDRV. No amplification was observed for other prevalent non-target duck viruses. The intra- and inter-assay coefficients of variation were less than 1.75%. The assay showed good performance with the same detection limit of 10² copies/μL for both NGPV and NDRV. The results of the clinical testing indicated that 45.3% (34/75) of the samples tested positive for NGPV, while 38.7% (29/75) were positive for NDRV. Notably, 13.3% (10/75) exhibited co-infection. These results revealed that the sensitivity of the developed method exceed that of conventional polymerase chain reaction (PCR). The developed method for the identifying of NGPV and NDRV shows good specificity, sensitivity, and repeatability, rendering it an effective tool for the simultaneous detection of co-infection with NGPV and NDRV.

Divergent banana streak viruses (BSV) were characterized from banana plants exhibiting diverse symptoms in the Northeast region (NER) of India. Using rolling circle amplification (RCA), the complete genome sequences of seven episomal banana streak MY virus (BSMYV) isolates, including two novel variants, and two new banana streak IM virus (BSIMV) isolates were characterized. The novel BSMYV genetic variants were associated with conspicuous necrosis on newly emerged leaves, peduncle distortion, pseudostem internal necrosis, in addition to common streak symptoms. For complete genome nucleotide sequences, BSMYV-IN4 and IN5 shared 77-79% identity with other BSMYVs, while BSMYV-IN7 and IN8 exhibited identities of 77-97%. This study reports for the first time, the complete genomes of two banana streak IM virus (BSIMV-IN1 and -IN2) infecting triploid banana hybrids exhibiting leaf distortion, stunted rosette-like growth, and necrosis, sharing 87% sequence identity with reference BSIMV genome (GenBank accession no. HQ593112). Phylogenetic inference based on complete genomes revealed the distinct and congruent placement of BSMYV-IN4 and IN5 within the BSMYV cluster. Pairwise sequence comparisons of the conserved RT/RNase H nucleotide (nt) sequences revealed that the BSMYV-IN7 and IN4 isolates showed 85% and 97% identity to BSMYV (AY805074), respectively, which shared highest nt identity with BSMYV-IN6, IN9, and IN10, at 100%. The RT/RNase H nt sequences of BSIMV-IN1 and IN2 had 98% identity with the BSIMV (HQ593112), but were characterized as novel variants of BSIMV based on complete genomes. An analysis of relative synonymous codon usage (RSCU) pattern in the ORFIII polyprotein of BSMYV and BSIMV isolates revealed AGA and AGG (arginine) as the most frequently overrepresented codons (>1.5), evolutionary conserved in the genome of both species. A total of 14 recombination events were detected among the 36 BSV genomes, with recombination breakpoints mainly located in the ORFI, III, and IGR genomic regions. A novel phylogenetic cluster, comprised of BSMYV-IN4 and IN5 within the clade I was probably derived from heterologous recombination between parents resembling banana streak VN virus (BSVNV; AY750155) and banana streak GF virus (BSGFV; KJ013507) isolates. The present study conclusively reports the infection of genetically and symptomatically distinct variants of BSMYV and BSIMV infecting banana hybrids in NER India.