2015
DOI: 10.1007/s11032-015-0379-1
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Characterization of transcriptome and development of novel EST-SSR makers based on next-generation sequencing technology in Neolitsea sericea (Lauraceae) endemic to East Asian land-bridge islands

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Cited by 46 publications
(65 citation statements)
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“…The average of one SSR site was found per 6.73 kb, which is similar to that observed for E. sibiricus (1/6.59 kb) [8], lower than Neolitsea sericea Koidz. (1/3.8 kb) and R. latoucheae [13,42], and higher than Paeonia suffruticosa Andr. (1/9.24 kb) [55].…”
Section: Ssr Markers In the Transcriptome Of S Japonicusmentioning
confidence: 82%
“…The average of one SSR site was found per 6.73 kb, which is similar to that observed for E. sibiricus (1/6.59 kb) [8], lower than Neolitsea sericea Koidz. (1/3.8 kb) and R. latoucheae [13,42], and higher than Paeonia suffruticosa Andr. (1/9.24 kb) [55].…”
Section: Ssr Markers In the Transcriptome Of S Japonicusmentioning
confidence: 82%
“…Additionally, high stability among technical replicates makes RNA-Seq data more useful [23]. RNA-seq presently has been applied for EST-SSR development in many plant species, such as Rosa roxburghii [24], Neolitsea sericea [25], Salix [26], Elymus sibiricus [27], Xanthoceras sorbifolia [28], etc. In this study, a total of 11,289 putative SSRs were identified.…”
Section: Methods For Development Of Ssr Markers In Plantmentioning
confidence: 99%
“…The transcriptome sequencing was conducted at Beijing Novogene Biological Information Technology Co., Ltd., Beijing, China (http://www.novogene.com/). The generated 100 bp paired-end reads were filtered by strict principles [24,25], and the assembly of these high-quality reads were carried out by Trinity [26,27] with min_kmer_cov set to 2 and other parameters set to default. The longest transcripts of each gene were pooled as "unigenes", and unigene annotations were performed and analyzed by searching and comparing the public databases [25].…”
Section: Plant Materials and Preparationmentioning
confidence: 99%
“…The generated 100 bp paired-end reads were filtered by strict principles [24,25], and the assembly of these high-quality reads were carried out by Trinity [26,27] with min_kmer_cov set to 2 and other parameters set to default. The longest transcripts of each gene were pooled as "unigenes", and unigene annotations were performed and analyzed by searching and comparing the public databases [25]. Additionally, the transcript sequence data used here were submitted to the Sequence Read Archive (SRA) of the National Center for Biotechnology Information (NCBI, https://www.ncbi.nlm.nih.gov/).…”
Section: Plant Materials and Preparationmentioning
confidence: 99%