Marker2sequence, mine your QTL regions for candidate genes

被引：8
|
作者：
Chibon, Pierre-Yves [1 ,2 ,3 ]
Schoof, Heiko [4 ]
Visser, Richard G. F. [1 ,3 ]
Finkers, Richard [1 ,3 ]
机构：
[1] Univ Wageningen & Res Ctr, Wageningen UR Plant Breeding, NL-6700 AJ Wageningen, Netherlands
[2] Grad Sch Expt Plant Sci, NL-6700 AA Wageningen, Netherlands
[3] Ctr Biosyst Genom, NL-6700 AA Wageningen, Netherlands
[4] Univ Bonn, INRES, D-53115 Bonn, Germany
来源：
BIOINFORMATICS | 2012年 / 28卷 / 14期
关键词：
WEB;
D O I：
10.1093/bioinformatics/bts298
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Marker2sequence (M2S) aims at mining quantitative trait loci (QTLs) for candidate genes. For each gene, within the QTL region, M2S uses data integration technology to integrate putative gene function with associated gene ontology terms, proteins, pathways and literature. As a typical QTL region easily contains several hundreds of genes, this gene list can then be further filtered using a keyword-based query on the aggregated annotations. M2S will help breeders to identify potential candidate genes for their traits of interest.
引用
收藏
页码：1921 / 1922
页数：2
相关论文
共 50 条
  • [31] Haplotype divergence and multiple candidate genes at Rphq2, a partial resistance QTL of barley to Puccinia hordei
    Yeo, F. K. S.
    Wang, Y.
    Vozabova, T.
    Huneau, C.
    Leroy, P.
    Chalhoub, B.
    Qi, X. Q.
    Niks, R. E.
    Marcel, T. C.
    THEORETICAL AND APPLIED GENETICS, 2016, 129 (02) : 289 - 304
  • [32] INTERACTIVE EFFECT OF 2 CANDIDATE GENES IN A DISEASE - EXTENSION OF THE MARKER-ASSOCIATION-SEGREGATION CHI(2)-METHOD
    DIZIER, MH
    BABRON, MC
    CLERGETDARPOUX, F
    AMERICAN JOURNAL OF HUMAN GENETICS, 1994, 55 (05) : 1042 - 1049
  • [33] Prioritisation of candidate genes in QTL regions for seed germination and early seedling growth in bread wheat (Triticum aestivum) under salt-stress conditions
    Rezaei, Elham
    Hervan, Eslam Majidi
    Azadi, Amin
    Etminan, Alireza
    Ramshini, Hossein
    CROP & PASTURE SCIENCE, 2021, 72 (01): : 1 - 16
  • [34] Discovery of genomic regions and candidate genes controlling shelling percentage using QTL-seq approach in cultivated peanut (Arachis hypogaea L.)
    Luo, Huaiyong
    Pandey, Manish K.
    Khan, Aamir W.
    Guo, Jianbin
    Wu, Bei
    Cai, Yan
    Huang, Li
    Zhou, Xiaojing
    Chen, Yuning
    Chen, Weigang
    Liu, Nian
    Lei, Yong
    Liao, Boshou
    Varshney, Rajeev K.
    Jiang, Huifang
    PLANT BIOTECHNOLOGY JOURNAL, 2019, 17 (07) : 1248 - 1260
  • [35] Sequence analysis of candidate genes for common susceptibility to type 1 and type 2 diabetes in mice
    Yamada, K
    Ikegami, H
    Kawaguchi, Y
    Fujisawa, T
    Hotta, M
    Ueda, H
    Shintani, M
    Nojima, K
    Kawabata, Y
    Ono, M
    Nishino, M
    Itoi, M
    Babaya, N
    Shibata, M
    Makino, S
    Ogihara, T
    ENDOCRINE JOURNAL, 2001, 48 (02) : 241 - 247
  • [36] Integrated Metabolo-Transcriptomics Reveals Fusarium Head Blight Candidate Resistance Genes in Wheat QTL-Fhb2
    Dhokane, Dhananjay
    Karre, Shailesh
    Kushalappa, Ajjamada C.
    McCartney, Curt
    PLOS ONE, 2016, 11 (05):
  • [37] Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.)
    Reddyyamini Bommisetty
    Navajeet Chakravartty
    Reddaiah Bodanapu
    Jeevula B. Naik
    Sanjib K. Panda
    Sivarama P. Lekkala
    Krishna Lalam
    George Thomas
    S. J. Mallikarjuna
    G. R. Eswar
    Gopalakrishna M. Kadambari
    Swarajyalakshmi N. Bollineni
    Keerthi Issa
    Srividhya Akkareddy
    C. Srilakshmi
    K. Hariprasadreddy
    P. Rameshbabu
    P. Sudhakar
    Saurabh Gupta
    V. B. R. Lachagari
    Lakshminarayana R. Vemireddy
    Molecular Biology Reports, 2020, 47 : 8615 - 8627
  • [38] Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.)
    Bommisetty, Reddyyamini
    Chakravartty, Navajeet
    Bodanapu, Reddaiah
    Naik, Jeevula B.
    Panda, Sanjib K.
    Lekkala, Sivarama P.
    Lalam, Krishna
    Thomas, George
    Mallikarjuna, S. J.
    Eswar, G. R.
    Kadambari, Gopalakrishna M.
    Bollineni, Swarajyalakshmi N.
    Issa, Keerthi
    Akkareddy, Srividhya
    Srilakshmi, C.
    Hariprasadreddy, K.
    Rameshbabu, P.
    Sudhakar, P.
    Gupta, Saurabh
    Lachagari, V. B. R.
    Vemireddy, Lakshminarayana R.
    MOLECULAR BIOLOGY REPORTS, 2020, 47 (11) : 8615 - 8627
  • [39] Large-scale integration of meta-QTL and genome-wide association study identifies genomic regions and candidate genes for photosynthetic efficiency traits in bread wheat
    Ming Chen
    Tao Chen
    Letong Yun
    Zhuo Che
    Jingfu Ma
    Binxue Kong
    Jiangying Long
    Chunhua Cheng
    Kaiqi Guo
    Peipei Zhang
    Lijian Guo
    Delong Yang
    BMC Genomics, 26 (1)
  • [40] Integrating RTM-GWAS and meta-QTL data revealed genomic regions and candidate genes associated with the first fruit branch node and its height in upland cotton
    Su, Junji
    Li, Dandan
    Yuan, Wenmin
    Li, Ying
    Ju, Jisheng
    Wang, Ning
    Ling, Pingjie
    Feng, Keyun
    Wang, Caixiang
    THEORETICAL AND APPLIED GENETICS, 2024, 137 (09)
12345