The Affymetrix Medicago GeneChip® array is applicable for transcript analysis of alfalfa (Medicago sativa)
Mesfin Tesfaye A , Kevin A. T. Silverstein B , Bruna Bucciarelli D , Deborah A. Samac A D and Carroll P. Vance C D EA Department of Plant Pathology, University of Minnesota, Saint Paul, MN 55108, USA.
B Department of Plant Biology, University of Minnesota, Saint Paul, MN 55108, USA.
C Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, MN 55108, USA.
D USDA-ARS Plant Science Research Unit, Saint Paul, MN 55108, USA.
E Corresponding author. Email: vance004@umn.edu
F This paper originates from a presentation at the Third International Conference on Legume Genomics and Genetics, Brisbane, Queensland, Australia, April 2006.
Functional Plant Biology 33(8) 783-788 https://doi.org/10.1071/FP06065
Submitted: 29 March 2006 Accepted: 28 April 2006 Published: 2 August 2006
Abstract
The recently released Affymetrix GeneChip® Medicago Genome Array contains approximately 52 700 probe sets representing genes in both the model legume Medicago truncatula Gaertn. and the closely related crop species Medicago sativa L. (alfalfa). We evaluated the utility of the Medicago GeneChip® for monitoring genome-wide expression of M. truncatula and alfalfa seedlings grown to the first trifoliate leaf stage. We found that approximately 40–54% of the Medicago probes were detected in leaf or root samples of alfalfa or M. truncatula. Approximately 45–59% of the detected Medicago probes were called ‘present’ in all replicate GeneChips of Medicago species, indicating a considerable overlap in the number and type of Medicago probes detected between root and leaf organs. Nevertheless, gene expression differences between roots and leaf organs accounted for approximately 17% of the total variation, regardless of the Medicago species from which the samples were harvested. The result shows that the Medicago GeneChip® is applicable for transcript analysis for both alfalfa and M. truncatula.
Keywords: GeneChip, gene expression, medic, Medicago, transcript analysis.
Becher M,
Talke IN,
Krall L, Krämer U
(2004) Cross-species microarray transcript profiling reveals high constitutive expression of metal homeostasis genes in shoots of the zinc hyper-accumulator Arabidopsis halleri. The Plant Journal 37, 251–268.
| PubMed |
Barnett MJ,
Tolman CJ,
Fisher RF, Long SR
(2004) A dual-genome Symbiosis Chip for coordinate study of signal exchange and development in a prokaryote-host interaction. Proceedings of the National Academy of Sciences USA 101, 16 636–16 641.
| Crossref | GoogleScholarGoogle Scholar |
Brown DM,
Zeef LAH,
Ellis J,
Goodacre R, Turner SR
(2005) Identification of novel genes in Arabidopsis involved in secondary cell wall formation using expression profiling and reverse genetics. The Plant Cell 17, 2281–2295.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Cho S,
Garvin DF, Muehlbauer GJ
(2006) Transcriptome analysis and physical mapping of barley genes in wheat–barley chromosome addition lines. Genetics 172, 1277–1283.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Choi HK,
Kim D,
Uhm T,
Limpens E, Lim H , et al.
(2004) A sequence-based genetic map of Medicago truncatula and comparison of marker co-linearity with Medicago sativa. Genetics 166, 1463–1502.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Close TJ,
Wanamaker SI,
Caldo RA,
Turner SM,
Ashlock DA,
Dickerson JA,
Wing RA,
Muehlbauer GJ,
Kleinhofs A, Wise RP
(2004) A new resource for cereal genomics, 22K barley genechip comes of age. Plant Physiology 134, 960–968.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Hammond JP,
Bowen HC,
White PJ,
Mills V,
Pyke KA,
Baker AJM,
Whiting SN,
May ST, Broadley MR
(2006) A comparison of the Thlaspi caerulescens and Thlaspi arvense shoot transcriptomes. New Phytologist 170, 239–260.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Hohnjec N,
Vieweg MF,
Pühler A,
Becker A, Küster H
(2005) Overlaps in the transcriptional profiles of Medicago truncatula roots inoculated with two different Glomus fungi provide insights into the genetic program activated during arbuscular mycorrhiza. Plant Physiology 137, 1283–1301.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Horvath DP,
Schaffer R,
West M, Wisman E
(2003) Arabidopsis microarrays identify conserved and differentially expressed genes involved in shoot growth and development from distantly related plant species. The Plant Journal 34, 125–134.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Liu WM,
Mei R,
Di X,
Tyder TB, Hubbell E , et al.
(2002) Analysis of high density expression microarrays with signed-rank call algorithms. Bioinformatics 18, 1593–1599.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Lohar DP,
Sharopova N,
Endre G,
Penuela S,
Samac D,
Town C,
Silverstein KAT, VandenBosch KA
(2006) Transcript analysis of early nodulation events in Medicago truncatula. Plant Physiology 140, 221–234.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Manthey K,
Krajinski F,
Hohnjec N,
Firnhaber C,
Puhler A,
Perlick AM, Kuster H
(2004) Transcriptome profiling in root nodules and arbuscular mycorrhiza identifies a collection of novel genes induced during Medicago truncatula root endosymbioses. Molecular Plant–Microbe Interactions 17, 1063–1077.
| PubMed |
Mitra RM,
Shaw SL, Long SR
(2004) Six nonnodulating plant mutants defective for Nod factor-induced transcriptional changes associated with the legume–rhizobia symbiosis. Proceedings of the National Academy of Sciences USA 101, 10 217–10 222.
| Crossref | GoogleScholarGoogle Scholar |
Saruul P,
Sreinc F,
Somers DA, Samac DA
(2002) Production of a biodegradable plastic polymer poly-β-hydroxybutyrate in transgenic alfalfa (Medicago sativa L.). Crop Science 42, 919–927.
Schmid M,
Davidson TS,
Henz SR,
Pape TJ,
Demar M,
Vingron M,
Schölkopf B,
Weigel D, Lohmann JU
(2005) A gene expression map of Arabidopsis thaliana development. Nature Genetics 37, 501–506.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Tesfaye M,
Denton MD,
Samac DA, Vance CP
(2005) Transgenic alfalfa secretes a fungal endochitinase protein to the rhizosphere. Plant and Soil 269, 233–243.
| Crossref | GoogleScholarGoogle Scholar |
VandenBosch KA, Stacey G
(2003) Summaries of legume genomics projects from around the globe. Community resources for crops and models. Plant Physiology 131, 840–865.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Wang L,
Samac DA,
Shapir N,
Wackett LP,
Vance CP,
Olszewski NE, Sadowsky MJ
(2005) Biodegradation of atrazine in transgenic plants expressing a modified bacterial atrazine chlorohydrolase (atzA) gene. Plant Biotechnology Journal 3, 475–486.
| Crossref | GoogleScholarGoogle Scholar |
Weber M,
Harada E,
Vess C,
Roepenack-Lahaye EV, Clemens S
(2004) Comparative microarray analysis of Arabidopsis thaliana and Arabidopsis halleri roots identified nicotianamine synthase a ZIP transporter and other genes as potential metal hyperaccumulation factors. The Plant Journal 37, 269–281.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Young ND,
Cannon SB,
Sato S,
Kim DJ,
Cook DR,
Town CD,
Roe BA, Tabata S
(2005) Sequencing the genespaces of Medicago truncatula and Lotus japonicus. Plant Physiology 137, 1174–1181.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Zhu H,
Choi H-K,
Cook DR, Shoemaker RC
(2005) Bridging model and crop legumes through comparative genomics. Plant Physiology 137, 1189–1196.
| Crossref | GoogleScholarGoogle Scholar | PubMed |