2017
DOI: 10.3906/tar-1705-105
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De novo transcriptome assembly and SSR markerdevelopment in apricot (Prunus armeniaca)

Abstract: Apricot (Prunus armeniaca) is an important fruit crop worldwide. We have performed a de novo transcriptome assembly for 7 apricot accessions ('Stark Early Orange' (SEO), 'Hacıhaliloğlu' (HH), 'Perfection' , 'Iğdır' , 'Roxana' , 'Esen1' , and 'Esen2'), which yielded a total number of transcripts ranging from 30,363 for 'SEO' to 59,751 for 'Iğdır' . The pool of the reads produced from 7 accessions were assembled into 85,766 transcripts, with an average of 1165.69 nt. Functional annotation (Gene Ontology-GO and K… Show more

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Cited by 6 publications
(2 citation statements)
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“…The most informative primers in our study were those targeting BPPCT-025, BPPCT-001, BPPCT-002, Pchgms-021, and UDP96-001 loci in peach cultivars, BPPCT-025, BPPCT-001 and UDP96-001 in nectarines, and BPPCT-002, BPPCT-025, Pchgms-004, Pchgms-020 and BPPCT-004 in apricot cultivars. Some of these primers generated either monomorphic or polymorphic patterns, as shown in previous studies [18,22,[54][55][56].…”
Section: Discussionsupporting
confidence: 71%
“…The most informative primers in our study were those targeting BPPCT-025, BPPCT-001, BPPCT-002, Pchgms-021, and UDP96-001 loci in peach cultivars, BPPCT-025, BPPCT-001 and UDP96-001 in nectarines, and BPPCT-002, BPPCT-025, Pchgms-004, Pchgms-020 and BPPCT-004 in apricot cultivars. Some of these primers generated either monomorphic or polymorphic patterns, as shown in previous studies [18,22,[54][55][56].…”
Section: Discussionsupporting
confidence: 71%
“…Pharmacological properties exhibited by different extracts of Sida cordifolia are antimicrobial, anti-inflammatory, analgesic, anti-ulcer, nephroprotective, anti-diabetic, hepatoprotective, anticancer, and central nervous system depressant activity [ 8 ]. The inevitable identification of genes responsible for the production of various secondary metabolites by S.cordifolia is achieved using the next-generation sequencing technology to unravel the novel transcripts from medicinal plants with respect to secondary metabolite biosynthesis and gene expression analysis [ 9 ]. The technology is employed to generate functional data for non-model plants and EST sequences for the annotation of genes and analysis of targeted discovery.…”
Section: Introductionmentioning
confidence: 99%