Journal of Genetic Engineering and Biotechnology最新文献

The myostatin (MSTN) gene exhibits significant nucleotide sequence variations in sheep, impacting growth characteristics and muscular traits of the body. However, its influence on specific growth traits in some sheep remains to be further elucidated. This study utilized single nucleotide polymorphism sequence analysis to investigate the role of the MSTN gene in meat production performance across four sheep breeds: Charolais sheep, Australian White sheep, crossbreeds of Australian White and Small-tailed Han, and crossbreeds of Charolais and Small-tailed Han. At a SNP locus of the MSTN gene, the C2361T site was identified, with three genotypes detected: CC, CT, and TT, among which CC predominated. Gene substitution effect analysis revealed that replacing C with T could elevate the phenotypic value. Comparative analysis of data from different genotypes within the same breed highlighted the superiority of CC and TT genotypes in phenotypic values, underscoring the significance of specific genotypes in influencing key traits. Contrasting the performance of different genotypes across breeds, Charolais sheep and Charolais Han hybrids demonstrated superiority across multiple indicators, offering valuable insights for breeding new sheep varieties. Analysis of gender effects on growth characteristics indicated that ewes exhibited significantly wider chest, waist, and hip widths compared to rams, while rams displayed better skeletal growth and muscle development. Additionally, the MSTN gene also exerted certain effects on lamb growth characteristics, with the CC genotype closely associated with weight. These findings not only contribute crucial insights for sheep breeding but also pave the way for future research exploring the interaction of this gene with others.

Background

The citrus vein phloem degeneration (CVPD) disease is one of important diseases that infects citrus plants and threatens global citrus production and quality due to its severe symptoms and rapid spread. In the 2000s, South Sulawesi Province as one of the citrus producers in Indonesia reported CVPD infection. To date, it is still uncertain as to whether the citrus production center has already been rid of the CVPD infection, keeping in mind the low prevalence of certified citrus saplings use and sub-optimal management of plantations by farmers.

Results

Field observation results revealed varied chlorosis symptoms from young to productive cultivation, which certainly makes it appealing to find out the presence of the causative bacterium, as it has yet to be known whether all the leaves with positive chlorosis symptoms carry the bacterium Candidatus Liberibacter asiaticus. Citrus saplings that appear healthy may carry CVPD pathogens as the incubation period of CVPD pathogens in the host plant spans three to five months. Thus, it is necessary to find the right, rapid way to detect the presence of CVPD pathogens in the citrus plant. The most effective method to use is PCR as the bacterium Candidatus L. asiaticus is non-culturable in vitro, but it is detectable using 16S rDNA. Sampling of leaves with CVPD symptoms was conducted purposively from eight varieties in five citrus cultivation locations, i.e., Pangkep, Sidrap, Bantaeng, Luwu Utara, and Kepulauan Selayar Regencies. DNA isolation was carried out following the Genomic DNA Kit (Geneaid) procedure, followed by detection using the specific pathogenic primer pair OI1 (5′ GCG CGT ATG CAA TAC GAG CGG C 3′) and OI2c (5′ GCC TCG CGA CTT CGC AAC CCA T 3′).

Conclusion

The PCR visualization result shows seven positive samples with DNA fragments measuring 1160 bp. The seven samples were samples of the Key lime, tangerine, Mandarin (cv. batu 55), and Mandarin (cv. selayar), each being derived from Sidrap, Luwu Utara, and Bantaeng. The average disease incidence rate was 66.56 %. Based on the field observation results, the insect vector Diaphorina citri was nowhere to be found in the five citrus cultivation locations in South Sulawesi.

Background

Sommeratia caseolaris is considered the most important mangrove species for reforestation and conservation programs. Therefore, the knowledge of genetic diversity and the population structure of the species has important implications both for the conservation of existing genetic resources and development programs. In the present study, the genetic diversity and structure population of eight populations of S. caseolaris from the Northern to the Southern Coast of Vietnam were determined using nine ISSR molecular markers.

Results

Eight populations of the mangrove species Sonneratia caseolaris were sampled across the natural range in Vietnam to evaluate the genetic diversity of the species. Nine ISSR markers were used to analyse 30 individuals from each population. There were moderate to high levels of genetic diversity (I = 0.447; h = 0.300). PCoA analysis gave very similar results to UPGMA dendrogram construction with the eight populations clustered into three genetic groups which mostly aligned with geographical distances among them. AMOVA analysis results indicated that most (81 %) of the genetic variation was within populations.

Conclusion

The current study also indicates the high level of genetic variation existing among and within the natural population of S. caseolaris in Vietnam. These results open new perspectives towards the conservation of the species' genetic resources and their future use in conservation and reforestation programs.

Background

Somatic embryogenesis offers a reliable method for cucumber (Cucumis sativus L.) regeneration and genetic enhancement against Fusarium wilt. This study aimed to establish a tailored somatic embryogenesis system for Egyptian cultivars, fostering genetic improvements and Fusarium wilt-resistance lines.

Results

Employing the Optimal Arbitrary Design (OAD) approach, we optimized the induction medium, initiating prolific embryogenic calli (53.3 %) at 1 mg/L 2,4-D. The cotyledonary leaf (CL) was the preferred explant, showing 60 % embryogenic callus development. Bieth Alpha exhibited higher responsiveness, generating ∼ 18 somatic embryos per explant compared to Prince's ∼ 10. Somatic embryogenesis system validation used quantitative RT-PCR, showing Cucumis sativus splicing factor 3B subunit (CUS1) and an embryogenesis marker gene expression exclusively within embryogenic calli and mainly during embryogenesis initiation. Evaluating fungal toxin filtrate concentrations for selecting embryogenic calli, the S2 selection (25 % filtrate, four subculture cycles) was chosen for somatic embryo development. To gauge the ramifications of selection at the genetic stratum, an in-depth analysis was executed. A cluster analysis grounded in ISSR banding patterns revealed a distinct separation between in vivo-cultivated plants of the two cultivars and regenerated plants devoid of pathogen filtrate treatment or those regenerated post-filtrate treatment. This segregation distinctly underscores the discernible genetic impact of the selection process.

Conclusions

The highest embryogenic capacity (53.3%) was achieved in this study by optimizing the induction stage, which demonstrated the optimal concentrations of BA and 2,4-D for induced proembryonic masses. Moreover, consistent gene expression throughout both stages of embryogenesis suggests that our system unequivocally follows the somatic embryogenesis pathway.

Background:

Examining functions and characteristics of DNA sequences is a highly challenging task. When it comes to the human genome, which is made up of exons and introns, this task is more challenging. Human exons and introns contain millions to billions of nucleotides, which contributes to the complexity observed in this sequences. Considering how complicated the subject of genomics is, it is obvious that using signal processing techniques and deep learning tools to build a strong predictive model can be very helpful for the development of the research of the human genome.

Results:

After representing human exons and introns with color images using Frequency Chaos Game Representation, two pre-trained convolutional neural network models (Resnet-50 and GoogleNet) and a proposed CNN model having 13 hidden layers were used to classify our obtained images. We have reached a value of 92% for the accuracy rate for Resnet-50 model in about 7 h for the execution time, a value of 91.5% for the accuracy rate for the GoogleNet model in 2 h and a half for the execution time. For our proposed CNN model, we have reached 91.6% for the accuracy rate in 2 h and 37 min.

Conclusions:

Our proposed CNN model is faster than the Resnet-50 model in terms of execution time. It was able to slightly exceed the GoogleNet model for the accuracy rate value.

Background

Screening and developing novel antifungal agents with minimal environmental impact are needed to maintain and increase crop production, which is constantly threatened by various pathogens. Small peptides with antimicrobial and antifungal activities have been known to play an important role in plant defense both at the pathogen level by suppressing its growth and proliferation as well as at the host level through activation or priming of the plant’s immune system for a faster, more robust response against fungi. Rust fungi (Pucciniales) are plant pathogens that can infect key crops and overcome resistance genes introduced in elite wheat cultivars.

Results

We performed an in vitro screening of 18 peptides predominantly of plant origin with antifungal or antimicrobial activity for their ability to inhibit leaf rust (Puccinia triticina, CCDS-96-14-1 isolate) urediniospore germination. Nine peptides demonstrated significant fungicidal properties compared to the control. Foliar application of the top three candidates, β-purothionin, Purothionin-α2 and Defensin-2, decreased the severity of leaf rust infection in wheat (Triticum aestivum L.) seedlings. Additionally, increased pathogen resistance was paralleled by elevated expression of defense-related genes.

Conclusions

Identified antifungal peptides could potentially be engineered in the wheat genome to provide an alternative source of genetic resistance to leaf rust.

Background

Gymnema sylvestre R.Br. is famous medicinal plant among diabetics for its gymnemic acid content. It also contains flavonoids, which are an essential component in various other products. Though some molecular information on the biosynthesis of gymnemic acid, polyoxypregnane, micro RNAs and photosynthetic efficiency is available, there is no gene level information available on the biosynthesis of flavonoids in this plant. RNA was extracted from winter-collected Gymnema sylvestre leaves and cDNA libraries were prepared and used for next generation sequencing. De novo transcriptome assembly were prepared and Coding DNA Sequences (CDS) of 13 major genes involved in flavonoids biosynthesis were identified from transcriptome data. Phenylalanine ammonia lyase gene containing full-length CDS was employed for in silico protein modelling and subsequent quality assessment. These models were then compared against publicly available databases. To confirm the identification of these genes, a similarity search was conducted using the NCBI BLAST tool.

Results

Therefore, in the present study, an effort has been made to provide molecular insights into flavonoid biosynthesis pathway by examining the expressed transcripts in G.sylvestre. Gene sequences of total thirteen major genes viz., phenylalanine ammonia lyase, 4-coumarate CoA ligase, cinnamic acid 4-hydroxylase, shikimate O-hydroxycinnamoyl transferase, coumaroyl quinate (coumaroyl shikimate) 3′-monooxygenase, caffeoyl-CoA O-methyltransferase, chalcone synthase, chalcone isomerase, naringenin 3-dioxygenase, flavanol synthase, flavonoid 3′-monooxygenase, Flavanone 7-O-glucoside 2″-O-beta-L-rhyamnosyltransferase and leucoanthocyanidin dioxygenase were identified and a putative pathway of flavonoids biosynthesis has been illustrated based on transcriptome data.

Conclusions

This transcriptome study has contributed gene-level insights into the biosynthesis of flavonoids in plants as a whole and represents the first report within a non-model plant, Gymnema sylvestre perticullarly.

Background

Human papillomavirus (HPV) vaccination is one of the crucial national vaccination programs aimed at reducing the prevalence of the diseases associated with HPV infections, which continue to pose a global health concern. However, a significant disparity exists in the distribution of HPV vaccine, particularly in low-middle income countries where the cost of HPV vaccine becomes a major obstacle. Thus, it is essential to ensure the availability of an economically feasible HPV vaccine, necessitating immediate efforts to enhance the cost-effectiveness of vaccine production. This study aimed to develop an efficient production system for the recombinant HPV type 52 L1 protein as HPV vaccine material using methylotrophic yeast Hansenula polymorpha expression system.

Results

This study presents an in-depth examination of the expression and scale-up production of HPV type 52 L1 protein using DASGIP® parallel bioreactor system. The pHIPX4 plasmid, which is regulated by the MOX promoter, generates stable clones that express the target protein. Cultivation employing the synthetic medium SYN6(10) with controlled parameters (e.g. temperature, pH, feeding strategy, and aeration) produces 0.15 µg/mL of HPV type 52 L1 protein, suggesting a possibility for scaling up to a higher production level.

Conclusion

The scale-up production of HPV type 52 L1 protein using Hansenula polymorpha expression system described in this study provides an opportunity for an economical manufacturing platform for the development of the HPV vaccine.

Background

The Nonstructural Protein (NSP) 4B of Zika virus of 251 amino acids from (ZIKV/Human/POLG_ZIKVF) with accession number (A0A024B7W1), Induces the production of Endoplasmic Reticulum ER-derived membrane vesicles, which are the sites of viral replication. To understand the physical basis of how proteins fold in nature and to solve the challenge of protein structure prediction, Ab-initio and comparative modeling are crucial tools.

Results

The systematic in silico technique, ThreaDom, had only predicted one domain (4 – 190) of NSP4B. I-TASSER, and Alphafold were ranked as the best servers for full-length 3-D protein structure predictions of NSP4B, where the predicted models were evaluated quantitatively using benchmarked metrics including C-score (-3.43), TM-score (0.77949), RMSD (2.73), and Z-score (1.561). The functional and protein binding motifs were realized using motif databases, secondary and surface accessibility predictions combined with Post-Translational Modification Sites (PTMs) prediction. Two highly conserved protein-binding motifs (Flavi NS4B and Bacillus papRprotein), together with three (PTMs) (Casein Kinase II, Myristyl site, and ASN-Glycosylation site) were predicted utilizing the Motif scan and Scanprosite servers. These patterns and PTMs were associated with NSP4B's role in triggering the development of the viral replication complex and its participation in the localization of NS3 and NS5 on the membrane. Only one hit from Structural Classification of Protein (SCOP) matched the protein sequence at positions 10 to 397 and was categorized six-hairpin glycosidases superfamily according to CATH (Class, Architecture, Topology, and Homology). Integrating this NSP4B information with the templates' SCOP and CATH annotations achieves it easier to attribute structure–function/evolution links to both previously known and recently discovered protein structures.