scholarly journals A Review of the Functional Annotations of Important Genes in the AHPND-Causing pVA1 Plasmid

2020 ◽  
Vol 8 (7) ◽  
pp. 996 ◽  
Author(s):  
Hao-Ching Wang ◽  
Shin-Jen Lin ◽  
Arpita Mohapatra ◽  
Ramya Kumar ◽  
Han-Ching Wang
Keyword(s):  
Open Reading Frames ◽  
Secretion Systems ◽  
Parahaemolyticus Strain ◽  
Functional Roles ◽  
Functional Annotations ◽  
Antirestriction Proteins ◽  
Acute Hepatopancreatic Necrosis Disease ◽  
Transfer Plasmid ◽  
Vibrio Spp ◽  
Reading Frames

Acute hepatopancreatic necrosis disease (AHPND) is a lethal shrimp disease. The pathogenic agent of this disease is a special Vibrio parahaemolyticus strain that contains a pVA1 plasmid. The protein products of two toxin genes in pVA1, pirAvp and pirBvp, targeted the shrimp’s hepatopancreatic cells and were identified as the major virulence factors. However, in addition to pirAvp and pirBvp, pVA1 also contains about ~90 other open-reading frames (ORFs), which may encode functional proteins. NCBI BLASTp annotations of the functional roles of 40 pVA1 genes reveal transposases, conjugation factors, and antirestriction proteins that are involved in horizontal gene transfer, plasmid transmission, and maintenance, as well as components of type II and III secretion systems that may facilitate the toxic effects of pVA1-containing Vibrio spp. There is also evidence of a post-segregational killing (PSK) system that would ensure that only pVA1 plasmid-containing bacteria could survive after segregation. Here, in this review, we assess the functional importance of these pVA1 genes and consider those which might be worthy of further study.

scholarly journals Plant-Influenced Gene Expression in the Rice Endophyte Burkholderia kururiensis M130

2015 ◽  
Vol 28 (1) ◽  
pp. 10-21 ◽  
Author(s):  
Bruna G. Coutinho ◽  
Danilo Licastro ◽  
Lucia Mendonça-Previato ◽  
Miguel Cámara ◽  
Vittorio Venturi
Keyword(s):  
Plant Extract ◽  
Endophytic Bacterium ◽  
Membrane Transporters ◽  
Open Reading Frames ◽  
Diazotrophic Bacteria ◽  
In Planta ◽  
Secretion Systems ◽  
Endophytic Diazotrophic Bacteria ◽  
Promoter Probe ◽  
Reading Frames

Burkholderia kururiensis M130 is one of the few rice endophytic diazotrophic bacteria identified thus far which is able to enhance growth of rice. To date, very little is known of how strain M130 and other endophytes enter and colonize plants. Here, we identified genes of strain M130 that are differentially regulated in the presence of rice plant extract. A genetic screening of a promoter probe transposon mutant genome bank and RNAseq analysis were performed. The screening of 10,100 insertions of the genomic transposon reporter library resulted in the isolation of 61 insertions displaying differential expression in response to rice macerate. The RNAseq results validated this screen and indicated that this endophytic bacterium undergoes major changes in the presence of plant extract regulating 27.7% of its open reading frames. A large number of differentially expressed genes encode membrane transporters and secretion systems, indicating that the exchange of molecules is an important aspect of bacterial endophytic growth. Genes related to motility, chemotaxis, and adhesion were also overrepresented, further suggesting plant–bacteria interaction. This work highlights the potential close signaling taking place between plants and bacteria and helps us to begin to understand the adaptation of an endophyte in planta.

scholarly journals smORFunction: A Tool for Predicting Functions of Small Open Reading Frames and Microproteins

2020 ◽  
Author(s):  
Xiangwen Ji ◽  
Chunmei Cui ◽  
Qinghua Cui
Keyword(s):  
Open Reading Frames ◽  
Open Reading Frame ◽  
Biological Processes ◽  
Reading Frame ◽  
Functional Annotations ◽  
Uniprot Database ◽  
Muscle Formation ◽  
Small Open Reading Frame ◽  
Reading Frames ◽  
Small Open Reading Frames

Abstract Background Small open reading frame (smORF) is open reading frame with a length of less than 100 codons. Microproteins, translated from smORFs, have been found to participate in a variety of biological processes such as muscle formation and contraction, cell proliferation, and immune activation. Although previous studies have collected and annotated a large abundance of smORFs, functions of the vast majority of smORFs are still unknown. It is thus increasingly important to develop computational methods to annotate the functions of these smORFs. Results In this study, we collected 617,462 unique smORFs from three studies. The expression of smORF RNAs was estimated by reannotated microarray probes. Using a speed-optimized correlation algorism, the functions of smORFs were predicted by their correlated genes with known functional annotations. After applying our method to 5 known microproteins from literatures, our method successfully predicted their functions. Further validation from the UniProt database showed that at least one function of 202 out of 270 microproteins was predicted. Conclusions We developed a method, smORFunction, to provide function predictions of smORFs/microproteins in at most 265 models generated from 173 datasets, including 48 tissues/cells, 82 diseases (and normal). The tool can be available at http://www.cuilab.cn/smorfunction.

scholarly journals smORFunction: a tool for predicting functions of small open reading frames and microproteins

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiangwen Ji ◽  
Chunmei Cui ◽  
Qinghua Cui
Keyword(s):  
Open Reading Frames ◽  
Open Reading Frame ◽  
Biological Processes ◽  
Reading Frame ◽  
Functional Annotations ◽  
Uniprot Database ◽  
Muscle Formation ◽  
Small Open Reading Frame ◽  
Reading Frames ◽  
Small Open Reading Frames

Abstract Background Small open reading frame (smORF) is open reading frame with a length of less than 100 codons. Microproteins, translated from smORFs, have been found to participate in a variety of biological processes such as muscle formation and contraction, cell proliferation, and immune activation. Although previous studies have collected and annotated a large abundance of smORFs, functions of the vast majority of smORFs are still unknown. It is thus increasingly important to develop computational methods to annotate the functions of these smORFs. Results In this study, we collected 617,462 unique smORFs from three studies. The expression of smORF RNAs was estimated by reannotated microarray probes. Using a speed-optimized correlation algorism, the functions of smORFs were predicted by their correlated genes with known functional annotations. After applying our method to 5 known microproteins from literatures, our method successfully predicted their functions. Further validation from the UniProt database showed that at least one function of 202 out of 270 microproteins was predicted. Conclusions We developed a method, smORFunction, to provide function predictions of smORFs/microproteins in at most 265 models generated from 173 datasets, including 48 tissues/cells, 82 diseases (and normal). The tool can be available at https://www.cuilab.cn/smorfunction.

scholarly journals Induction and Genome Analysis of HY01, a Newly Reported Prophage from an Emerging Shrimp Pathogen Vibrio campbellii

2021 ◽  
Vol 9 (2) ◽  
pp. 400
Author(s):  
Taiyeebah Nuidate ◽  
Aphiwat Kuaphiriyakul ◽  
Komwit Surachat ◽  
Pimonsri Mittraparp-arthorn
Keyword(s):  
Genome Analysis ◽  
Gene Organization ◽  
Open Reading Frames ◽  
Full Genome Sequence ◽  
Protein Coding ◽  
Coding Regions ◽  
Vibrio Phage ◽  
Vibrio Campbellii ◽  
Vibrio Spp ◽  
Reading Frames

Vibrio campbellii is an emerging aquaculture pathogen that causes luminous vibriosis in farmed shrimp. Although prophages in various aquaculture pathogens have been widely reported, there is still limited knowledge regarding prophages in the genome of pathogenic V. campbellii. Here, we describe the full-genome sequence of a prophage named HY01, induced from the emerging shrimp pathogen V. campbellii HY01. The phage HY01 was induced by mitomycin C and was morphologically characterized as long tailed phage. V. campbellii phage HY01 is composed of 41,772 bp of dsDNA with a G+C content of 47.45%. A total of 60 open reading frames (ORFs) were identified, of which 31 could be predicted for their biological functions. Twenty seven out of 31 predicted protein coding regions were matched with several encoded proteins of various Enterobacteriaceae, Pseudomonadaceae, Vibrionaceae, and other phages of Gram-negative bacteria. Interestingly, the comparative genome analysis revealed that the phage HY01 was only distantly related to Vibrio phage Va_PF430-3_p42 of fish pathogen V. anguillarum but differed in genomic size and gene organization. The phylogenetic tree placed the phage together with Siphoviridae family. Additionally, a survey of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) spacers revealed two matching sequences between phage HY01 genome and viral spacer sequence of Vibrio spp. The spacer results combined with the synteny results suggest that the evolution of V. campbellii phage HY01 is driven by the horizontal genetic exchange between bacterial families belonging to the class of Gammaproteobacteria.

scholarly journals smORFunction: A Tool for Predicting Functions of Small Open Reading Frames and Microproteins

2020 ◽  
Author(s):  
Xiangwen Ji ◽  
Chunmei Cui ◽  
Qinghua Cui
Keyword(s):  
Open Reading Frames ◽  
Open Reading Frame ◽  
Biological Processes ◽  
Reading Frame ◽  
Functional Annotations ◽  
Uniprot Database ◽  
Muscle Formation ◽  
Small Open Reading Frame ◽  
Reading Frames ◽  
Small Open Reading Frames

Abstract Background Small open reading frame (smORF) is open reading frame with a length of less than 100 codons. Microproteins, translated from smORFs, have been found to participate in a variety of biological processes such as muscle formation and contraction, cell proliferation, and immune activation. Although previous studies have collected and annotated a large abundance of smORFs, functions of the vast majority of smORFs are still unknown. It is thus increasingly important to develop computational methods to annotate the functions of these smORFs. Results In this study, we collected 617,462 unique smORFs from three studies. The expression of smORF RNAs was estimated by reannotated microarray probes. Using a speed-optimized correlation algorism, the functions of smORFs were predicted by their correlated genes with known functional annotations. After applying our method to 5 known microproteins from literatures, our method successfully predicted their functions. Further validation from the UniProt database showed that at least one function of 202 out of 270 microproteins was predicted. Conclusions We developed a method, smORFunction, to provide function predictions of smORFs/microproteins in at most 265 models generated from 173 datasets, including 48 tissues/cells, 82 diseases (and normal). The tool can be available at http://www.cuilab.cn/smorfunction.

scholarly journals Extensive translation of small Open Reading Frames revealed by Poly-Ribo-Seq

eLife ◽  
2014 ◽  
Vol 3 ◽  
Author(s):  
Julie L Aspden ◽  
Ying Chen Eyre-Walker ◽  
Rose J Phillips ◽  
Unum Amin ◽  
Muhammad Ali S Mumtaz ◽  
...  
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Open Reading Frames ◽  
Small Peptides ◽  
Functional Roles ◽  
Genome Wide ◽  
A Genome ◽  
Non Coding Rnas ◽  
Reading Frames ◽  
Small Open Reading Frames

Thousands of small Open Reading Frames (smORFs) with the potential to encode small peptides of fewer than 100 amino acids exist in our genomes. However, the number of smORFs actually translated, and their molecular and functional roles are still unclear. In this study, we present a genome-wide assessment of smORF translation by ribosomal profiling of polysomal fractions in Drosophila. We detect two types of smORFs bound by multiple ribosomes and thus undergoing productive translation. The ‘longer’ smORFs of around 80 amino acids resemble canonical proteins in translational metrics and conservation, and display a propensity to contain transmembrane motifs. The ‘dwarf’ smORFs are in general shorter (around 20 amino-acid long), are mostly found in 5′-UTRs and non-coding RNAs, are less well conserved, and have no bioinformatic indicators of peptide function. Our findings indicate that thousands of smORFs are translated in metazoan genomes, reinforcing the idea that smORFs are an abundant and fundamental genome component.

scholarly journals smORFunction: A Tool for Predicting Functions of Small Open Reading Frames and Microproteins

2020 ◽  
Author(s):  
Xiangwen Ji ◽  
Chunmei Cui ◽  
Qinghua Cui
Keyword(s):  
Open Reading Frames ◽  
Open Reading Frame ◽  
Biological Processes ◽  
Reading Frame ◽  
Functional Annotations ◽  
Uniprot Database ◽  
Muscle Formation ◽  
Small Open Reading Frame ◽  
Reading Frames ◽  
Small Open Reading Frames

Abstract Background Small open reading frame (smORF) is open reading frame with a length of less than 100 codons. Microproteins, translated from smORFs, have been found to participate in a variety of biological processes such as muscle formation and contraction, cell proliferation, and immune activation. Although previous studies have collected and annotated a large abundance of smORFs, functions of the vast majority of smORFs are still unknown. It is thus increasingly important to develop computational methods to annotate the functions of these smORFs. Results In this study, we collected 617,462 unique smORFs from three studies. The expression of smORF RNAs was estimated by reannotated microarray probes. Using a speed-optimized correlation algorism, the functions of smORFs were predicted by their correlated genes with known functional annotations. After applying our method to 5 known microproteins from literatures, our method successfully predicted their functions. Further validation from the UniProt database showed that at least one function of 202 out of 270 microproteins was predicted. Conclusions We developed a method, smORFunction, to provide function predictions of smORFs/microproteins in at most 265 models generated from 173 datasets, including 48 tissues/cells, 82 diseases (and normal). The tool can be available at http://www.cuilab.cn/smorfunction.

scholarly journals Two-Partner Secretion Systems of Neisseria meningitidis Associated with Invasive Clonal Complexes

2008 ◽  
Vol 76 (10) ◽  
pp. 4649-4658 ◽  
Author(s):  
Peter van Ulsen ◽  
Lucy Rutten ◽  
Moniek Feller ◽  
Jan Tommassen ◽  
Arie van der Ende
Keyword(s):  
Neisseria Meningitidis ◽  
Outer Membrane ◽  
Open Reading Frames ◽  
Gram Negative Bacteria ◽  
Secretion Systems ◽  
Gram Negative ◽  
System 1 ◽  
Related Proteins ◽  
Encoding Genes ◽  
Reading Frames

ABSTRACT The two-partner secretion (TPS) pathway is widespread among gram-negative bacteria and facilitates the secretion of very large and often virulence-related proteins. TPS systems consist of a secreted TpsA protein and a TpsB protein involved in TpsA transport across the outer membrane. Sequenced Neisseria meningitidis genomes contain up to five TpsA- and two TpsB-encoding genes. Here, we investigated the distribution of TPS-related open reading frames in a collection of disease isolates. Three distinct TPS systems were identified among meningococci. System 1 was ubiquitous, while systems 2 and 3 were significantly more prevalent among isolates of hyperinvasive clonal complexes than among isolates of poorly invasive clonal complexes. In laboratory cultures, systems 1 and 2 were expressed. However, several sera from patients recovering from disseminated meningococcal disease recognized the TpsAs of systems 2 and 3, indicating the expression of these systems during infection. Furthermore, we showed that the major secreted TpsAs of systems 1 and 2 depend on their cognate TpsBs for transport across the outer membrane and that the system 1 TpsAs undergo processing. Together, our data indicate that TPS systems may contribute to the virulence of N. meningitidis.

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