Assessing myBaits Target Capture Sequencing Methodology Using Short-Read Sequencing for Variant Detection in Oat Genomics and Breeding

Author:

Mahmood Khalid1ORCID,Sarup Pernille1ORCID,Oertelt Lukas2,Jahoor Ahmed12,Orabi Jihad1ORCID

Affiliation:

1. Nordic Seed, Grindsnabevej 25, 8300 Odder, Denmark

2. Nordic Seed Germany, Kirchhorster Str. 16, 31688 Nienstädt, Germany

Abstract

The integration of target capture systems with next-generation sequencing has emerged as an efficient tool for exploring specific genetic regions with a high resolution and facilitating the rapid discovery of novel alleles. Despite these advancements, the application of targeted sequencing methodologies, such as the myBaits technology, in polyploid oat species remains relatively unexplored. In this study, we utilized the myBaits target capture method offered by Daicel Arbor Biosciences to detect variants and assess their reliability for variant detection in oat genomics and breeding. Ten oat genotypes were carefully chosen for targeted sequencing, focusing on specific regions on chromosome 2A to detect variants. The selected region harbors 98 genes. Precisely designed baits targeting the genes within these regions were employed for the target capture sequencing. We employed various mappers and variant callers to identify variants. After the identification of variants, we focused on the variants identified via all variants callers to assess the applicability of the myBaits sequencing methodology in oat breeding. In our efforts to validate the identified variants, we focused on two SNPs, one deletion and one insertion identified via all variant callers in the genotypes KF-318 and NOS 819111-70 but absent in the remaining eight genotypes. The Sanger sequencing of targeted SNPs failed to reproduce target capture data obtained through the myBaits technology. Similarly, the validation of deletion and insertion variants via high-resolution melting (HRM) curve analysis also failed to reproduce target capture data, again suggesting limitations in the reliability of the myBaits target capture sequencing using short-read sequencing for variant detection in the oat genome. This study shed light on the importance of exercising caution when employing the myBaits target capture strategy for variant detection in oats. This study provides valuable insights for breeders seeking to advance oat breeding efforts and marker development using myBaits target capture sequencing, emphasizing the significance of methodological sequencing considerations in oat genomics research.

Funder

Oatganic project

Ministry of Food, Agriculture and Fisheries

Publisher

MDPI AG

Reference37 articles.

1. The mosaic oat genome gives insights into a uniquely healthy cereal crop;Kamal;Nature,2022

2. Oat genome—Sequence of a superfood;Krattinger;Nat. Plants,2022

3. Paudel, D., Dhungana, B., Caffe, M., and Krishnan, P. (2021). A review of health-beneficial properties of oats. Foods, 10.

4. Reference genome assemblies reveal the origin and evolution of allohexaploid oat;Peng;Nat. Genet.,2022

5. Morcia, C., Finocchiaro, F., Delbono, S., Ghizzoni, R., Reggiani, F., Carnevali, P., Tumino, G., Carrara, I., and Terzi, V. (2023). Compendium of Crop Genome Designing for Nutraceuticals, Springer.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3