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Identification and characterization of karyotype in Passiflora hybrids using FISH and GISH

Overview of attention for article published in BMC Genomic Data, April 2018
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Title
Identification and characterization of karyotype in Passiflora hybrids using FISH and GISH
Published in
BMC Genomic Data, April 2018
DOI 10.1186/s12863-018-0612-0
Pubmed ID
Authors

Gonçalo Santos Silva, Margarete Magalhães Souza, Cláusio Antônio Ferreira de Melo, Juan Domingo Urdampilleta, Eliana Regina Forni-Martins

Abstract

A great interest exists in the production of hybrid plants of the genus Passiflora given the beauty and exotic features of its flowers which have ornamental value. Hybrid paternity confirmation is therefore important for assuring germplasm origin, and is typically carried out by molecular marker segregation. The aim of this study was to karyotypically characterize the chromosome heritance patterns of the progeny resultant from a cross of P. gardneri and P. gibertii using classical cytogenetics, chromosome banding, and molecular cytogenetics. All analyzed genotypes showed the same diploid chromosome number as the genitor species: 2n = 18. Classical and CMA3 and DAPI staining allowed for chromosome counting and satellite identification (secondary constrictions). Fluorescence in situ hybridization (FISH) and genomic in situ hybridization (GISH) were used to characterize subgenomes by either identifying rDNA-specific genome patterns or parental genomes, respectively. The heritance of chromosomal markers presenting rDNA sites from each parent for genome identification confirmed that all obtained plants were hybrids. These results will improve breeding programs involving the species of this genus. Apart from confirming hybridization, GISH allowed the visualization of recombination between the homeologous chromosome and the introgression of sequences of interest.

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The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Ph. D. Student 4 14%
Student > Doctoral Student 3 10%
Student > Master 3 10%
Student > Bachelor 2 7%
Other 4 14%
Unknown 7 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 45%
Biochemistry, Genetics and Molecular Biology 6 21%
Environmental Science 1 3%
Nursing and Health Professions 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 7 24%