Method Article

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants

DOI:

10.3791/56470

⸱

November 8th, 2017

In This Article

Summary

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This protocol provides experimental steps and information about reagents, equipment, and analysis tools for researchers who are interested in carrying out whole genome array-based comparative genomic hybridization (CGH) analysis of copy number variations in plants.

Abstract

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Mutants are invaluable genetic resources for gene function studies. To generate mutant collections, three types of mutagens can be utilized, including biological such as T-DNA or transposon, chemical such as ethyl methanesulfonate (EMS), or physical such as ionization radiation. The type of mutation observed varies depending on the mutagen used. For ionization radiation induced mutants, mutations include deletion, duplication, or rearrangement. While T-DNA or transposon-based mutagenesis is limited to species that are susceptible to transformation, chemical or physical mutagenesis can be applied to a broad range of species. However, the characterization of mutations derived from chemical or physical mutagenesis traditionally relies on a map-based cloning approach, which is labor intensive and time consuming. Here, we show that a high-density genome array-based comparative genomic hybridization (aCGH) platform can be applied to efficiently detect and characterize copy number variations (CNVs) in mutants derived from fast neutron bombardment (FNB) mutagenesis in Medicago truncatula, a legume species. Whole genome sequence analysis shows that there are more than 50,000 genes or gene models in M. truncatula. At present, FNB-induced mutants in M. truncatula are derived from more than 150,000 M1 lines, representing invaluable genetic resources for functional studies of genes in the genome. The aCGH platform described here is an efficient tool for characterizing FNB-induced mutants in M. truncatula.

Introduction

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Legumes (Fabaceae) are the third largest family of flowering plants, with many economically important species such as soybean (Glycine max) and alfalfa (Medicago sativa). Legume plants can interact with nitrogen-fixing soil bacteria, generally called Rhizobia to develop root nodules in which the atmospheric dinitrogen is reduced to ammonia for use by the host plant. As such, cultivation of legume crops requires little input of nitrogen fertilizers and thus contributes to sustainable agriculture. Legume crops produce leaves and seeds with high protein content, serving as excellent forage and grain crops. However, cultivated legume sp....

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Protocol

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NOTE: Figure 1 shows the five steps for the array CGH protocol. They are: 1) Preparation of plant materials; 2) Isolation of high quality DNA samples; 3) Labeling and purification of DNA samples; 4) Hybridization, washing, and scanning of whole genome arrays; and 5) CGH data analysis. M. truncatula whole genome tiling arrays contain a total of 971,041 unique oligo probes targeting more than 50,000 genes or gene models in the genome (See Table of Materials). The unique probes are spaced approximately every 150 base pairs (bp) in exonic regions and 261 bp in intronic regions of the M. truncatula genome.

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Results

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Figure 2 shows the distribution of normalized log2 ratios of mutant versus WT signals across the whole genome. Analysis of CGH data revealed an approximate 22 kb deletion on chromosome 4 that encompasses the entire SUNN gene33 and several other annotated genes in FN6191 mutant (Figure 2, Figure 3). The candidate deleted region was covered by 73 consecutive .......

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Discussion

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We have developed an array-based CGH platform for the detection and characterization of fast neutron bombardment (FNB)-induced mutants in M. truncatula cv. Jemalong A17. To demonstrate the use of the array CGH method in detecting gene mutations, we performed aCGH analysis of the mutant FN6191, which exhibited a hyper-nodulation phenotype in contrast to wild type plants, when inoculated with S. meliloti Sm1021. For segmentation analysis, a segment was deemed significant if the log2 ratio mean .......

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Disclosures

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The authors declare no competing financial interests.

Acknowledgements

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Funding of this work is provided in part by a grant from NSF Plant Genome Research (IOS-1127155).

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Medicago truncatula genome array, 1 x 1 MAgilentG4123A
Medicago truncatula FN6191 (mutant)In houseFN6191
Medicago truncatula Jemalong A17 (reference)In houseA17
Sulfuric acidSigma-Aldrich320501
DNeasy Plant Mini KitQiagen69104
Nanodrop SpectrophotometerThermo Scientific1000D
SureTag DNA Labeling KitAgilent5190-3400
Random primerAgilent5190-3399
AcetonitrileSigma-Aldrich271004-1L
ThermocyclerMJ researchPTC-200
CentrifugeLabnet international IncSpectrafuge 24D
Stabilization and Drying SolutionAgilent5185-5979
Oligo aCGH/ChIP-on-chip Hybridization KitAgilent5188-5380
Hybridization Chamber gasket slidesAgilentG2505
Human Cot-1 DNAAgilent5190-3393
Oligo aCGH/ChIP-on-chip Wash Buffer 1 and 2Agilent5188-5221
Hybridization Chamber, stainlessAgilentG2534A
Hybridization ovenAgilentG2545A
Purification ColumnsAgilent5190-3391
Laser scannerRocheMS200
NimbleScan 2.6Roche Nimblegen5225035001
Signal Map 1.9Roche NimblegenSignalmap1.9

References

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  1. Tang, H., et al. An improved genome release (version Mt4.0) for the model legume Medicago truncatula. BMC Genomics. 15, 312(2014).
  2. Young, N. D., et al. The Medicago genome provides insight into the evolution of rhizobial symbioses. ....

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Tags

Comparative Genomic HybridizationCopy Number VariationsFast Neutron BombardmentMedicago truncatulaArray based CGHDNA IsolationMicroarray HybridizationWashing BufferSpectrophotometer AnalysisSignal Mapping Software

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