Comparative transcriptome analysis of three Bactrocera dorsalis (Diptera: Tephritidae) organs to identify functional genes in the male accessory glands and ejaculatory duct
Keywords:
oriental fruit fly, comparative transcriptome, accessory gland protein, seminal fluid protein, reproductionAbstract
The insect male accessory glands/ejaculatory duct (MAG/ED) are important tissues of the male reproductive system. The MAG/ED’s functions in reproduction have been well studied in Drosophila (Diptera: Drosophilidae) but remain largely unknown in the important agricultural pest Bactrocera dorsalis (Hendel) (Diptera: Tephritidae). In the present study, we re-assembled the transcriptome datasets of B. dorsalis’s fat body, testis, and MAG/ED and compared these tissue-specific transcriptomes. Clean reads from these transcriptome data sets were de novo re-assembled and clustered into 31,782 unigenes (average 922 bp). In total, 21,306 unigenes were functionally annotated by Blasting against online databases. Comparative transcriptomic analysis identified numerous genes that were identified with the expressed tissue-bias patterns. Some MAG/ED-specific genes potentially involved in spermatozoa motility and capacitation (e.g., perlucin, glucose dehydrogenase, lipase), mating regulation (pheromone-binding protein–related protein), and immunity (lectin) were identified in B. dorsalis. The expressions of some of these genes were further validated by realtime quantitative polymerase chain reaction at transcriptional level. All of these identifications will help us to explore the physiological regulation of mating and reproduction in B. dorsalis in the future.
Resumen
Las glándulas accesorias masculinas/conducto eyaculador (GAM/CE) de los insectos son tejidos importantes del sistema reproductivo masculino. Las funciones de GAM/CE en la reproducción han sido bien estudiadas en Drosophila (Diptera: Drosophilidae), pero siguen siendo poco conocidas en la importante plaga agrícola Bactrocera dorsalis (Hendel) (Diptera: Tephritidae). En el presente estudio, re-ensamblamos los datos de transcriptoma de la grasa del cuerpo, los testículos y los GAM/CE de B. dorsalis y comparamos estos transcriptomas específicos de tejidos. Las lecturas claras de estos conjuntos de datos de transcriptoma se volvieron a ensamblar de nuevo y se agruparon en 31.782 unigenes (promedio de 922 bp). En total, 21.306 unigenes fueron anotados funcionalmente por Blasting contra bases de datos en línea. El análisis transcriptómico comparativo identificó numerosos genes que se identificaron con los patrones de sesgo de tejido expresado. En B. dorsalis se identificaron algunos genes especıficos de GAM/CE potencialmente implicados en motilidad y capacitación de espermatozoides (por ejemplo, perlucina, deshidrogenasa de glucosa, lipasa), regulación de apareamiento (proteına relacionada con proteına de unión a feromonas) e inmunidad (lectina). Las expresiones de algunos de estos genes fueron aún más validados por la reacción en cadena de la polimerasa cuantitativa en tiempo real a nivel transcripcional. Todas estas identificaciones nos ayudarán a explorar la regulación fisiológica del apareamiento y la reproducción en B. dorsalis en el futuro.
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Additional Files
- Figure S1. Statistics of sequence length in three tissue transcriptomes of Bactrocera dorsalis.
- Figure S2. Similarity (A) and species (B) distribution of unigenes in re-assembled transcriptome of Bactrocera dorsalis.
- Figure S3. Clusters of Orthologous Group (COG) functional classification of unigenes in re-assembled transcriptome.
- Figure S4. Gene Ontology (GO) classification of unigenes in re-assembled transcriptome.
- Figure S5. Clusters of Orthologous Group (COG) functional classification of unigenes highly expressed in male accessory glands and ejaculatory duct of Bactrocera dorsalis.
- Table S1. Top 30 pathways with highest unigenes number as determined by Kyoto Encyclopedia of Gene and Genomes (KEGG) analysis in the re-assembled transcriptome of three tissues of Bactrocera dorsalis.
- Table S2. Distinct unigenes with specific protein prediction in NCBI nr or Swiss-Prot databases.
- Table S3. Distribution of microsatellites (SSRs) amongst different nucleotide types identified in the re-assembled transcriptome sequences.
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