Microsatellite marker information from high-throughput next-generation sequence data of Capsicum annuum varieties Mandarin and Blackcluster

被引:7
|
作者
Ahn, Yul-Kyun [1 ]
Tripathi, Swati [1 ]
Kim, Jeong-Ho [1 ]
Cho, Young-Il [1 ]
Lee, Hye-Eun [1 ]
Kim, Do-Sun [1 ]
Woo, Jong-Gyu [1 ]
Yoon, Moo-Kyoung [1 ]
机构
[1] Rural Dev Adm, Natl Inst Hort & Herbal Sci, Vegetable Res Div, Suwon 440706, South Korea
关键词
Next generation sequencing; Transcriptome profiling; Capsicum annuum; Microsatellite markers; GENOMIC SSR MARKERS; LINKAGE MAP; SNP DISCOVERY; PEPPER; TRANSCRIPTOME; GENE; L; CONSTRUCTION; IDENTIFICATION; POPULATION;
D O I
10.1016/j.scienta.2014.03.007
中图分类号
S6 [园艺];
学科分类号
0902 ;
摘要
Transcriptome profiling of two pepper (Capsicum annuum L, Solanaceae), cultivars, Mandarin and Blackcluster, was performed using 454 GS-FLX pyrosequencing for the identification of microsatellite (SSR) markers for marker-assisted breeding. Sequencing runs yielded 279,221 and 316,357 reads totaling 120.44 and 142.54 Mb of sequence data (average read length of 431 and 450 nucleotides), which assembled into 19,388 and 18,057 isotigs, and 22,217 and 13,153 singletons for both, respectively. Reads resulted into 17,525 and 16,341 'isogroups' and were annotated functionally. Assembled sequences were functionally annotated based on homology to genes in multiple public databases and assigned with Gene Ontology (GO) terms. Analysis of sequence variants identified a total of 2067 and 2494 potential SSR motifs located in the transcript regions for both cultivars. Trinucleotide (49%) was the most common repeat unit followed by the di (39.7%), hexa (5.3%), tetra (2.9%) and pentanucleotides (2.8%). AGC/CAG/GCA (17.7%) was the most frequent repeat motif, followed by GGT/GTG/TGG (16%), AAG/AGA/GAA (14.3%), ATC/CAT/TCA (11.9%), and AAC/ACA/CAA (7.5%). (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:123 / 130
页数:8
相关论文
共 50 条
  • [31] High-throughput detection of clinically targetable alterations using next-generation sequencing
    Vendrell, Julie A.
    Grand, David
    Rouquette, Isabelle
    Costes, Valarie
    Icher, Samira
    Selves, Janick
    Larrieux, Marion
    Barbe, Aurore
    Brousset, Pierre
    Solassol, Jerome
    ONCOTARGET, 2017, 8 (25) : 40345 - 40358
  • [32] Development of next-generation high-throughput MX beamline at SPring-8
    Yamamoto, Masaki
    Hirata, Kunio
    Yamashita, Keitaro
    Baba, Seiki
    Hasegawa, Kazuya
    Sakai, Naoki
    Kawano, Yoshiaki
    Murakami, Hironori
    Kumasaka, Takashi
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2019, 75 : A150 - A150
  • [33] Multiplex restriction amplicon sequencing: a novel next-generation sequencing-based marker platform for high-throughput genotyping
    Bernardo, Amy
    St Amand, Paul
    Ha Quang Le
    Su, Zhenqi
    Bai, Guihua
    PLANT BIOTECHNOLOGY JOURNAL, 2020, 18 (01) : 254 - 265
  • [34] Detection of mutations in microsatellite region from next-generation sequencing data
    Fujimoto, Akihiro
    GENES & GENETIC SYSTEMS, 2014, 89 (06) : 329 - 329
  • [35] Y-LineageTracker: a high-throughput analysis framework for Y-chromosomal next-generation sequencing data
    Hao Chen
    Yan Lu
    Dongsheng Lu
    Shuhua Xu
    BMC Bioinformatics, 22
  • [36] Y-LineageTracker: a high-throughput analysis framework for Y-chromosomal next-generation sequencing data
    Chen, Hao
    Lu, Yan
    Lu, Dongsheng
    Xu, Shuhua
    BMC BIOINFORMATICS, 2021, 22 (01)
  • [37] High-throughput genotyping of high-homology mutant mouse strains by next-generation sequencing
    Gleeson, Diane
    Sethi, Debarati
    Platte, Radka
    Burvill, Jonathan
    Barrett, Daniel
    Akhtar, Shaheen
    Bruntraeger, Michaela
    Bottomley, Joanna
    Bussell, James
    Ryder, Edward
    METHODS, 2021, 191 : 78 - 86
  • [38] Fungal High-throughput Taxonomic Identification tool for use with Next-Generation Sequencing ( FHiTINGS)
    Dannemiller, Karen C.
    Reeves, Darryl
    Bibby, Kyle
    Yamamoto, Naomichi
    Peccia, Jordan
    JOURNAL OF BASIC MICROBIOLOGY, 2014, 54 (04) : 315 - 321
  • [39] HIGH-THROUGHPUT SEQUENCING USING NEXT-GENERATION SEQUENCING WITHIN 72 H.
    Sheh, Alexander
    Lebedeva, Tatiana V.
    Yu, Neng
    HUMAN IMMUNOLOGY, 2015, 76 : 10 - 10
  • [40] Next-generation sequencing is a robust strategy for the high-throughput detection of zygosity in transgenic maize
    Fritsch, Leonie
    Fischer, Rainer
    Wambach, Christoph
    Dudek, Max
    Schillberg, Stefan
    Schroeper, Florian
    TRANSGENIC RESEARCH, 2015, 24 (04) : 615 - 623