iGeneTech® owns the independently developed TargetSeq® hybridization capture sequencing technology and IGT® Oligo Pools synthesis platform, which enable the design of products targeting exon regions and offering comprehensive solutions for whole-exome sequencing across various species. As of now, we have successfully developed panels for the whole exomes of wheat, barley, Southern Chinese Pine, maize, and more all of which demonstrate excellent capture efficiency and uniformity metrics. More products are currently under active development.
Synthesis Advantages:
Backed by our self-developed large-scale array based oligo pool synthesis platform, we can rapidly generate millions of oligo pools in less than 48 hours, and have helped our customs creat ready-to-use breeding chips for hundreds of species. More over, we have launched " Capture All" projects, which help scientists to develop over one hundred species of whole exome chip.
Superior Data Performance:
Combined with the TargetSeqOne® capture system, we efficiently achieving excellent performance in on target rate, and uniformity.
Flexible Customization:
We offer customized whole exomes for various species or tailored breeding chips as needed, providing comprehensive solutions that include extraction, library preparation, capture kits, and automated equipment.
Collaborative Development:
We adopt flexible collaboration models, enabling joint development of whole-exome products for different species with shared intellectual property rights or usage rights for the panels.
Molecular Breeding:
Using exome capture for screening molecular genetic markers and advantageous traits [1].
Population Genetics Analysis:
Conducting large-scale natural population sequencing via exome capture to identify genetic variations associated with target traits [2] and study gene introgression [3].
Mutant Library Sequencing:
Sequencing mutant materials through exome capture to generate large sequence variation libraries for gene function studies [4].
BSA Fine Mapping:
Performing BSA (Bulked Segregant Analysis) on segregating populations based on exome capture sequencing to rapidly map functional genes.
Applicable to Multi-species Plant:
Applicable to the detection of multiple plant species: Wheat, pine, maize, soybean, rice, chili, pumpkin and so on.
As one of the world's most important food crops, wheat's yield and quality are critical to the food security of billions of people. However, common wheat has a massive genome (approximately 14.6 Gb), a high proportion of repetitive sequences, and is an allohexaploid, posing significant challenges for wheat genetic research. The iGeneTech Wheat Whole Exome Panel (TargetSeq® Triticum aestivum Exome Panel) is designed based on the 132.6 Mb CDS region of the IWGSC RefSeq V2.1 reference genome, containing 2,554,727 unique probes to efficiently and uniformly capture the CDS regions of over 100,000 wheat genes. Tested using wheat genomic DNA (gDNA) on the MGI sequencing platform, it achieves a capture efficiency exceeding 80%, a 20× uniformity of over 97% for the Chinese Spring cultivar, and a depth of over 40× with a 10 Gb sequencing data output, demonstrating excellent performance metrics.
Product Name | Reference Genome | Coverage Size | Set | Cat. No |
Wheat Whole Exome Panel | Triticum aestivum (IWGSC V2.1) | 132.6 Mb | 24 rxn | PH2003295 |
96 rxn | PH2003292 | |||
Barley Whole Exome Panel | Hordeum vulgar (MorexV3) | 42.0 Mb | 24 rxn | PH2002775 |
96 rxn | PH2002772 | |||
Southern Chinese Pine Whole Exome Panel | Pinus tabuliformis | 103.5 Mb | 24 rxn | PH2001605 |
96 rxn | PH2001602 | |||
Maize Whole Exome Panel | Zea mays | 45.5 Mb | 24 rxn | PH2001655 |
96 rxn | PH2001652 |
1.Li A, Hao C, Wang Z, et al. Wheat breeding history reveals synergistic selection of pleiotropic genomic sites for plant architecture and grain yield[J].
Molecular Plant, 2022, 15(3): 504-519.
2.Pont C, Leroy T, et al. Tracing the ancestry of modern bread wheats[J]. Nature genetics, 2019, 51(5): 905-911.
3.He F, Pasam R, et al. Exome sequencing highlights the role of wild-relative introgression in shaping the adaptive landscape of the wheat genome[J].
Nature genetics, 2019, 51(5): 896-904.
4.Krasileva K V, Vasquez-Gross H A, et al. Uncovering hidden variation in polyploid wheat[J]. Proceedings of the National Academy of Sciences, 2017,
114(6): E913-E921.