Characterization of the complete mitochondrial genome sequence of Neoscona scylla and phylogenetic analysis
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The complete mitochondrial genome of the orb-weaving spider Neoscona scylla was characterized in this study. The circular molecule is 14,092 bp in length (GenBank accession no. MK086023), containing 13 protein-coding genes (PCGs), two ribosomal RNA (rRNA) genes, 22 transfer RNA (tRNA) genes, and a control region. The nucleotide composition is asymmetric (35.27% A, 9.82% C, 15.55% G, 39.36% T), with an overall A + T content of 74.63%. The gene arrangement of N. scylla is identical to that observed in other spiders. Nine PCGs are initiated with typical ATN start codons, three genes (cox2, cox3, and nad6) begin with TTG, and cox1 use TTA as initiation codon. Twelve PCGs stop with complete termination codon TAA and TAG, while nad3 uses incomplete termination codon (T). Twenty-five reading frame overlaps and five intergenic regions are found in the mitogenome of N. scylla. Seven tRNAs lose TΨC arm stems, whereas three lack the dihydrouracil (DHU) arm. The phylogenetic relationships based on 13 PCGs show that N. scylla clusters closest to 5 species of Araneidae.Keywords:
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Coumarate-3-hydroxylase is one of important lignin synthetases.Based on cDNA sequence conserved domain of CYP98A3 (accession number AY064170),a pair of primers were designed and used to amplify a fragment of c3h gene by RT-PCR from poplar(Populus×euramericana cv.‘74/76’)developing second xylem RNA,then cloned into pMD20-T vector,identified by restriction enzyme cutting,PCR amplification and sequencing.The sequence of the amplified DNA fragment was 994 bp in size and contained a 495 bp ORF(open reading frame).Alignment with amino acid sequence of c3h retrieved from NCBI (accession number:AY064170)showed that the similarity was 91%.Therefore,the cloned DNA fragment could primarily classified as a member of the CYP98A3 family.It was submitted to GenBank,the accession number was AM920690.Phylogenetic tree was constructed based on c3h genes from GenBank,and the evolution was also analyzed.
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Background. DNA sequences are pivotal for a wide array of research in biology. Large sequence databases, like GenBank, provide an amazing resource to utilize DNA sequences for large scale analyses. However, many sequences on GenBank contain more than one gene or are portions of genomes, and inconsistencies in the way genes are annotated and the numerous synonyms a single gene may be listed under provide major challenges for extracting large numbers of subsequences for comparative analysis across taxa. At present, there is no easy way to extract portions from multiple GenBank accessions based on annotations where gene names may vary extensively. Results. The R package AnnotationBustR allows users to extract sequences based on GenBank annotations through the ACNUC retrieval system given search terms of gene synonyms and accession numbers. AnnotationBustR extracts portions of interest and then writes them to a FASTA file for users to employ in their research endeavors. Conclusion. FASTA files of extracted subsequences and accession tables generated by AnnotationBustR allow users to quickly find and extract subsequences from GenBank accessions. These sequences can then be incorporated in various analyses, like the construction of phylogenies to test a wide range of ecological and evolutionary hypotheses.
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Background DNA sequences are pivotal for a wide array of research in biology. Large sequence databases, like GenBank, provide an amazing resource to utilize DNA sequences for large scale analyses. However, many sequence records on GenBank contain more than one gene or are portions of genomes. Inconsistencies in the way genes are annotated and the numerous synonyms a single gene may be listed under provide major challenges for extracting large numbers of subsequences for comparative analysis across taxa. At present, there is no easy way to extract portions from many GenBank accessions based on annotations where gene names may vary extensively. Results The R package AnnotationBustR allows users to extract sequences based on GenBank annotations through the ACNUC retrieval system given search terms of gene synonyms and accession numbers. AnnotationBustR extracts subsequences of interest and then writes them to a FASTA file for users to employ in their research endeavors. Conclusion FASTA files of extracted subsequences and accession tables generated by AnnotationBustR allow users to quickly find and extract subsequences from GenBank accessions. These sequences can then be incorporated in various analyses, like the construction of phylogenies to test a wide range of ecological and evolutionary hypotheses.
Sequence (biology)
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Background. DNA sequences are pivotal for a wide array of research in biology. Large sequence databases, like GenBank, provide an amazing resource to utilize DNA sequences for large scale analyses. However, many sequences on GenBank contain more than one gene or are portions of genomes, and inconsistencies in the way genes are annotated and the numerous synonyms a single gene may be listed under provide major challenges for extracting large numbers of subsequences for comparative analysis across taxa. At present, there is no easy way to extract portions from multiple GenBank accessions based on annotations where gene names may vary extensively. Results. The R package AnnotationBustR allows users to extract sequences based on GenBank annotations through the ACNUC retrieval system given search terms of gene synonyms and accession numbers. AnnotationBustR extracts portions of interest and then writes them to a FASTA file for users to employ in their research endeavors. Conclusion. FASTA files of extracted subsequences and accession tables generated by AnnotationBustR allow users to quickly find and extract subsequences from GenBank accessions. These sequences can then be incorporated in various analyses, like the construction of phylogenies to test a wide range of ecological and evolutionary hypotheses.
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Abstract The complete nucleotide sequences have been determined for the human EGFR (GenBank accession No X00588), human c-neu (GenBank accession No X03363), human EGFR B3 (HER3, Genbank accession No M29366) and human EGFR B4 (GenBank accession No L07868). Partial sequence information is available for the mouse and chicken EGFRs (Avivi eta/. 1991).
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Promethis valgipes valgipes (Marseul) is one of the important fungus-eating beetle distributed in central China, Korea, and Japan. Beetles were obtained from Pizhou City and the species’ mitochondrial genome was characterized (GenBank accession number MW201671). The mitogenome consists of a circular DNA molecule of 15,801 bp, with 68.51% AT content. It comprises 13 protein-coding genes (PCGs), 22 tRNA genes, and two rRNA genes. The PCGs have typical ATN (Met) start codons, except nad1 (TTG as start codon), and are terminated by typical TAN stop codons.
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Abstract RalB was isolated from a human pheochromocytoma cDNA library using a simian RalA probe at moderate stringency (Chardin and Tavitian 1989; GenBank accession number X15015), and later from a human retina cDNA library (Hsieh et al. 1990; GenBank accession number M35416), a rat pheochromocytoma cDNA library (Wildey et al. 1993; GenBank accession number L19699), and a marine ray electric lobe cDNA library (Ngsee et al. 1991; GenBank accession number M38394).
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Background. DNA sequences are pivotal for a wide array of research in biology. Large sequence databases, like GenBank, provide an amazing resource to utilize DNA sequences for large scale analyses. However, many sequences on GenBank contain more than one gene or are portions of genomes, and inconsistencies in the way genes are annotated and the numerous synonyms a single gene may be listed under provide major challenges for extracting large numbers of subsequences for comparative analysis across taxa. At present, there is no easy way to extract portions from multiple GenBank accessions based on annotations where gene names may vary extensively. Results. The R package AnnotationBustR allows users to extract sequences based on GenBank annotations through the ACNUC retrieval system given search terms of gene synonyms and accession numbers. AnnotationBustR extracts portions of interest and then writes them to a FASTA file for users to employ in their research endeavors. Conclusion. FASTA files of extracted subsequences and accession tables generated by AnnotationBustR allow users to quickly find and extract subsequences from GenBank accessions. These sequences can then be incorporated in various analyses, like the construction of phylogenies to test a wide range of ecological and evolutionary hypotheses.
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Bacillus amyloliquefaciens L-17 strain was isolated from a sample of chicken feathers. Here, we report complete genome sequence data of B. amyloliquefaciens L-17. The size of the genome is 3,933,788 bp which harbours 4001 coding Sequences. The BioProject has been deposited at NCBI GenBank. The GenBank accession numbers are PRJNA727793 for the BioProject, CP074391.1 for the chromosome, GCA_018363035.1 for GenBank assembly accession and SAMN19035411 for the BioSample.
Bacillus amyloliquefaciens
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Background. DNA sequences are pivotal for a wide array of research in biology. Large sequence databases, like GenBank, provide an amazing resource to utilize DNA sequences for large scale analyses. However, many sequences on GenBank contain more than one gene or are portions of genomes, and inconsistencies in the way genes are annotated and the numerous synonyms a single gene may be listed under provide major challenges for extracting large numbers of subsequences for comparative analysis across taxa. At present, there is no easy way to extract portions from multiple GenBank accessions based on annotations where gene names may vary extensively. Results. The R package AnnotationBustR allows users to extract sequences based on GenBank annotations through the ACNUC retrieval system given search terms of gene synonyms and accession numbers. AnnotationBustR extracts portions of interest and then writes them to a FASTA file for users to employ in their research endeavors. Conclusion. FASTA files of extracted subsequences and accession tables generated by AnnotationBustR allow users to quickly find and extract subsequences from GenBank accessions. These sequences can then be incorporated in various analyses, like the construction of phylogenies to test a wide range of ecological and evolutionary hypotheses.
Sequence (biology)
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