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dc.contributor.author
Mannino, Maria Constanza  
dc.contributor.author
Rivarola, Maximo Lisandro  
dc.contributor.author
Scannapieco, Alejandra Carla  
dc.contributor.author
González, Sergio Alberto  
dc.contributor.author
Farber, Marisa Diana  
dc.contributor.author
Cladera, Jorge Luis  
dc.contributor.author
Lanzavecchia, Silvia Beatriz  
dc.date.available
2020-11-02T20:52:22Z  
dc.date.issued
2016-10  
dc.identifier.citation
Mannino, Maria Constanza; Rivarola, Maximo Lisandro; Scannapieco, Alejandra Carla; González, Sergio Alberto; Farber, Marisa Diana; et al.; Transcriptome profiling of Diachasmimorpha longicaudata towards useful molecular tools for population management; BioMed Central; BMC Genomics; 17; 1; 10-2016; 1-13  
dc.identifier.issn
1471-2164  
dc.identifier.uri
http://hdl.handle.net/11336/117449  
dc.description.abstract
Background: Diachasmimorpha longicaudata (Hymenoptera: Braconidae) is a solitary parasitoid of Tephritidae (Diptera) fruit flies of economic importance currently being mass-reared in bio-factories and successfully used worldwide. A peculiar biological aspect of Hymenoptera is its haplo-diploid life cycle, where females (diploid) develop from fertilized eggs and males (haploid) from unfertilized eggs. Diploid males were described in many species and recently evidenced in D. longicaudata by mean of inbreeding studies. Sex determination in this parasitoid is based on the Complementary Sex Determination (CSD) system, with alleles from at least one locus involved in early steps of this pathway. Since limited information is available about genetics of this parasitoid species, a deeper analysis on D. longicaudata's genomics is required to provide molecular tools for achieving a more cost effective production under artificial rearing conditions. Results: We report here the first transcriptome analysis of male-larvae, adult females and adult males of D. longicaudata using 454-pyrosequencing. A total of 469766 reads were analyzed and 8483 high-quality isotigs were assembled. After functional annotation, a total of 51686 unigenes were produced, from which, 7021 isotigs and 20227 singletons had at least one BLAST hit against the NCBI non-redundant protein database. A preliminary comparison of adult female and male evidenced that 98 transcripts showed differential expression profiles, with at least a 10-fold difference. Among the functionally annotated transcripts we detected four sequences potentially involved in sex determination and three homologues to two known genes involved in the sex determination cascade. Finally, a total of 4674SimpleSequence Repeats (SSRs) were in silico identified and characterized. Conclusion: The information obtained here will significantly contribute to the development of D. longicaudata functional genomics, genetics and population-based genome studies. Thousands of new microsatellite markers were identified as toolkits for population genetics analysis. The transcriptome characterized here is the starting point to elucidate the molecular bases of the sex determination mechanism in this species.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
BioMed Central  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
DIACHASMIMORPHA LONGICAUDATA  
dc.subject
GENE EXPRESSION  
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MOLECULAR MARKERS  
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SEX DETERMINATION  
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TRANSCRIPTOMICS  
dc.subject.classification
Bioquímica y Biología Molecular  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Transcriptome profiling of Diachasmimorpha longicaudata towards useful molecular tools for population management  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-11-02T17:04:07Z  
dc.journal.volume
17  
dc.journal.number
1  
dc.journal.pagination
1-13  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Mannino, Maria Constanza. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Rivarola, Maximo Lisandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria; Argentina  
dc.description.fil
Fil: Scannapieco, Alejandra Carla. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: González, Sergio Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria; Argentina  
dc.description.fil
Fil: Farber, Marisa Diana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria; Argentina  
dc.description.fil
Fil: Cladera, Jorge Luis. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Genética; Argentina  
dc.description.fil
Fil: Lanzavecchia, Silvia Beatriz. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
BMC Genomics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-2759-2  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1186/s12864-016-2759-2