2015
DOI: 10.1186/s12864-015-1420-9
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Comparative transcriptome analyses on silk glands of six silkmoths imply the genetic basis of silk structure and coloration

Abstract: BackgroundSilk has numerous unique properties that make it a staple of textile manufacturing for several thousand years. However, wider applications of silk in modern have been stalled due to limitations of traditional silk produced by Bombyx mori. While silk is commonly produced by B. mori, several wild non-mulberry silkmoths--especially members of family Saturniidae--produce silk with superior properties that may be useful for wider applications. Further utilization of such silks is hampered by the non-domes… Show more

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Cited by 27 publications
(21 citation statements)
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“…Additional sequences were obtained from de novo assembled transcriptome data for A. assama and A. selene 71). Intragenic tandem repeats of saturniid fibroins were aligned using Geneious R9 (Biomatters Ltd., Auckland, NZ) and scored for the frequency of conserved amino acid residues and motifs.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Additional sequences were obtained from de novo assembled transcriptome data for A. assama and A. selene 71). Intragenic tandem repeats of saturniid fibroins were aligned using Geneious R9 (Biomatters Ltd., Auckland, NZ) and scored for the frequency of conserved amino acid residues and motifs.…”
Section: Methodsmentioning
confidence: 99%
“…Amino acid sequences of the fibroins used for the sequence analysis were retrieved from GenBank: Bombyx mori (GenBank accession code AF226688; AAB31861), Samia cynthia ricini (BAQ55621), A. pernyi (AAC32606), A. yamamai (BAJ11925; AB542805), A. assama (KJ862544), Rhodinia fugax (BAG84270), Saturnia japonica (BAH02016), and Actias selene (ADA59934). Additional sequences were obtained from de novo assembled transcriptome data for A. assama and A. selene 71 ). Intragenic tandem repeats of saturniid fibroins were aligned using Geneious R9 (Biomatters Ltd., Auckland, NZ) and scored for the frequency of conserved amino acid residues and motifs.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Studies reveal that the comparative transcriptomics through RNA-Seq technology unravel the genetic basis of silk production and strength, cocoon coloration, etc. among wild and domesticated silk moths ( 109 , 110 ). Apart from the above ‘omics’ technologies, currently metabolomics, epigenomics and metagenomics are emerging as advanced approaches for studying the metabolome, epigenome and metagenome of the insects including silkmoths along with their resources ( 111 ).…”
Section: Technology For Data Generation In Sericulture Fieldmentioning
confidence: 99%
“…No. Sericultural research area Technologies References 1 Genomics BAC-end sequencing filter, hybridization, fingerprinting, WGS, Transgenesis technology, comparative genomics, Linkage mapping, Sanger sequencing, Roche 454 Genome Sequencing, Pyrosequencing technology (454 GS-FLX), Combination of Illumina and 454, Illumina short-read sequencing, de novo seq, exome seq, targeted seq, Microarray based and genome wide association studies (GWAS) ( 8 , 104 , 107 ) 2 Proteomics SDS-PAGE, Tandem MS (Tandem Mass Spectroscopy), MALDI MS, two-dimensional gel electrophoresis (2-DE), protein microarray ( 108 , 117 , 118 ) 3 Transcriptomics High-throughput RNA sequencing technology (RNA-Seq), Comparative transcriptome analysesTotal RNA and mRNA sequencing, Targeted RNA Sequencing, Small RNA and Non-coding RNA Sequencing, Serial analysis of gene expression (SAGE) ( 107 , 109 , 110 ) 4 Metabolomics MS –based system with GC (Gas chromatography) and LC (Liquid Chromatography) for initial separation, NMR analysis of crude extracts and its direct examination by MS ( 113 , 119 ) 5 Epigenomics Methylation sequenicng, Illumina high-throughput bisulfite sequencing (MethylC-Seq), ChiP Sequencing, Ribosome Profiling, Pyrosequencing technology ( 107 , 112 ) 6 Metagenomics Metagenomics: Amplicon seq (16S rRNA), Shotgun Sequencing …”
Section: Technology For Data Generation In Sericulture Fieldmentioning
confidence: 99%