Literature DB >> 28856445

Extracting genotype information of Arabidopsis thaliana recombinant inbred lines from transcript profiles established with high-density oligonucleotide arrays.

Renate Schmidt1, Anastassia Boudichevskaia2, Hieu Xuan Cao2,3, Sang He2, Rhonda Christiane Meyer4, Jochen Christoph Reif2.   

Abstract

KEY MESSAGE: Polymorphic probes identified via a sequence-based approach are suitable to infer the genotypes of recombinant inbred lines from hybridisation intensities of GeneChip ® transcript profiling experiments. The sequences of the probes of the ATH1 GeneChip® exactly match transcript sequences of the Arabidopsis thaliana reference genome Col-0, whereas nucleotide differences and/or insertions/deletions may be observed for transcripts of other A. thaliana accessions. Individual probes of the GeneChip® that show sequence polymorphisms between different A. thaliana accessions may serve as single-feature polymorphism (SFP) markers, provided that the sequence changes cause differences in hybridisation intensity for the accessions of interest. A sequence-based approach identified features on the high-density oligonucleotide array that showed sequence polymorphisms between A. thaliana accessions Col-0 and C24. Hybridisation intensities of polymorphic probes were extracted from genome-wide transcript profiles of Col-0/C24 and C24/Col-0 recombinant inbred lines and assessed after standardisation via sliding window analyses to identify SFP markers. The genotypes of the recombinant inbred lines were determined with the SFP markers and the resulting data were integrated with information, which had been established previously with single nucleotide polymorphism and insertion/deletion markers, to enrich the linkage map of the Col-0/C24 and C24/Col-0 recombinant inbred populations. Congruence between the molecular marker map and the sequence maps of the A. thaliana Col-0 chromosomes proved the reliability of the genotype information which was deduced from the transcript profiles of the Col-0/C24 and C24/Col-0 recombinant inbred lines.

Entities:  

Keywords:  Arabidopsis thaliana accessions; High-density oligonucleotide arrays; Single-feature polymorphism marker; Transcript profiling

Mesh:

Substances:

Year:  2017        PMID: 28856445     DOI: 10.1007/s00299-017-2200-6

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


  35 in total

1.  Detecting single-feature polymorphisms using oligonucleotide arrays and robustified projection pursuit.

Authors:  Xinping Cui; Jin Xu; Rehana Asghar; Pascal Condamine; Jan T Svensson; Steve Wanamaker; Nils Stein; Mikeal Roose; Timothy J Close
Journal:  Bioinformatics       Date:  2005-08-23       Impact factor: 6.937

2.  Single feature polymorphisms between two rice cultivars detected using a median polish method.

Authors:  Weibo Xie; Ying Chen; Gang Zhou; Lei Wang; Chengjun Zhang; Jianwei Zhang; Jinghua Xiao; Tong Zhu; Qifa Zhang
Journal:  Theor Appl Genet       Date:  2009-04-16       Impact factor: 5.699

3.  Direct allelic variation scanning of the yeast genome.

Authors:  E A Winzeler; D R Richards; A R Conway; A L Goldstein; S Kalman; M J McCullough; J H McCusker; D A Stevens; L Wodicka; D J Lockhart; R W Davis
Journal:  Science       Date:  1998-08-21       Impact factor: 47.728

4.  Large-scale identification of single-feature polymorphisms in complex genomes.

Authors:  Justin O Borevitz; David Liang; David Plouffe; Hur-Song Chang; Tong Zhu; Detlef Weigel; Charles C Berry; Elizabeth Winzeler; Joanne Chory
Journal:  Genome Res       Date:  2003-03       Impact factor: 9.043

5.  Genome-wide detection of polymorphisms at nucleotide resolution with a single DNA microarray.

Authors:  David Gresham; Douglas M Ruderfer; Stephen C Pratt; Joseph Schacherer; Maitreya J Dunham; David Botstein; Leonid Kruglyak
Journal:  Science       Date:  2006-03-09       Impact factor: 47.728

6.  Prospects and limits of marker imputation in quantitative genetic studies in European elite wheat (Triticum aestivum L.).

Authors:  Sang He; Yusheng Zhao; M Florian Mette; Reiner Bothe; Erhard Ebmeyer; Timothy F Sharbel; Jochen C Reif; Yong Jiang
Journal:  BMC Genomics       Date:  2015-03-11       Impact factor: 3.969

7.  Multiple reference genomes and transcriptomes for Arabidopsis thaliana.

Authors:  Xiangchao Gan; Oliver Stegle; Jonas Behr; Joshua G Steffen; Philipp Drewe; Katie L Hildebrand; Rune Lyngsoe; Sebastian J Schultheiss; Edward J Osborne; Vipin T Sreedharan; André Kahles; Regina Bohnert; Géraldine Jean; Paul Derwent; Paul Kersey; Eric J Belfield; Nicholas P Harberd; Eric Kemen; Christopher Toomajian; Paula X Kover; Richard M Clark; Gunnar Rätsch; Richard Mott
Journal:  Nature       Date:  2011-08-28       Impact factor: 49.962

8.  Genetic dissection of metabolite variation in Arabidopsis seeds: evidence for mQTL hotspots and a master regulatory locus of seed metabolism.

Authors:  Dominic Knoch; David Riewe; Rhonda Christiane Meyer; Anastassia Boudichevskaia; Renate Schmidt; Thomas Altmann
Journal:  J Exp Bot       Date:  2017-03-01       Impact factor: 6.992

9.  Single-feature polymorphism discovery by computing probe affinity shape powers.

Authors:  Wayne Wenzhong Xu; Seungho Cho; S Samuel Yang; Yung-Tsi Bolon; Hatice Bilgic; Haiyan Jia; Yanwen Xiong; Gary J Muehlbauer
Journal:  BMC Genet       Date:  2009-08-26       Impact factor: 2.797

10.  Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations.

Authors:  Jan Lisec; Rhonda C Meyer; Matthias Steinfath; Henning Redestig; Martina Becher; Hanna Witucka-Wall; Oliver Fiehn; Ottó Törjék; Joachim Selbig; Thomas Altmann; Lothar Willmitzer
Journal:  Plant J       Date:  2007-11-28       Impact factor: 6.417

View more
  1 in total

1.  Genetic controls of short- and long-term stomatal CO2 responses in Arabidopsis thaliana.

Authors:  Karin S L Johansson; Mohamed El-Soda; Ellen Pagel; Rhonda C Meyer; Kadri Tõldsepp; Anders K Nilsson; Mikael Brosché; Hannes Kollist; Johan Uddling; Mats X Andersson
Journal:  Ann Bot       Date:  2020-06-19       Impact factor: 4.357

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.