Literature DB >> 28669791

Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives.

Awais Rasheed1, Yuanfeng Hao2, Xianchun Xia2, Awais Khan3, Yunbi Xu1, Rajeev K Varshney4, Zhonghu He5.   

Abstract

There is a rapidly rising trend in the development and application of molecular marker assays for gene mapping and discovery in field crops and trees. Thus far, more than 50 SNP arrays and 15 different types of genotyping-by-sequencing (GBS) platforms have been developed in over 25 crop species and perennial trees. However, much less effort has been made on developing ultra-high-throughput and cost-effective genotyping platforms for applied breeding programs. In this review, we discuss the scientific bottlenecks in existing SNP arrays and GBS technologies and the strategies to develop targeted platforms for crop molecular breeding. We propose that future practical breeding platforms should adopt automated genotyping technologies, either array or sequencing based, target functional polymorphisms underpinning economic traits, and provide desirable prediction accuracy for quantitative traits, with universal applications under wide genetic backgrounds in crops. The development of such platforms faces serious challenges at both the technological level due to cost ineffectiveness, and the knowledge level due to large genotype-phenotype gaps in crop plants. It is expected that such genotyping platforms will be achieved in the next ten years in major crops in consideration of (a) rapid development in gene discovery of important traits, (b) deepened understanding of quantitative traits through new analytical models and population designs, (c) integration of multi-layer -omics data leading to identification of genes and pathways responsible for important breeding traits, and (d) improvement in cost effectiveness of large-scale genotyping. Crop breeding chips and genotyping platforms will provide unprecedented opportunities to accelerate the development of cultivars with desired yield potential, quality, and enhanced adaptation to mitigate the effects of climate change.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Crop breeding; Genotyping platforms; Genotyping-by-sequencing (GBS); SNP arrays; Single nucleotide polymorphisms (SNPs)

Mesh:

Year:  2017        PMID: 28669791     DOI: 10.1016/j.molp.2017.06.008

Source DB:  PubMed          Journal:  Mol Plant        ISSN: 1674-2052            Impact factor:   13.164


  107 in total

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4.  A GBS-based GWAS analysis of adaptability and yield traits in bread wheat (Triticum aestivum L.).

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Review 5.  Wheat genetic resources in the post-genomics era: promise and challenges.

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7.  Development of an Axiom Sugarcane100K SNP array for genetic map construction and QTL identification.

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8.  A major QTL co-localized on chromosome 6BL and its epistatic interaction for enhanced wheat stripe rust resistance.

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9.  Identification and validation of a novel major QTL for all-stage stripe rust resistance on 1BL in the winter wheat line 20828.

Authors:  Jian Ma; Nana Qin; Ben Cai; Guoyue Chen; Puyang Ding; Han Zhang; Congcong Yang; Lin Huang; Yang Mu; Huaping Tang; Yaxi Liu; Jirui Wang; Pengfei Qi; Qiantao Jiang; Youliang Zheng; Chunji Liu; Xiujin Lan; Yuming Wei
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10.  Mapping quantitative trait loci (QTLs) and estimating the epistasis controlling stem rot resistance in cultivated peanut (Arachis hypogaea).

Authors:  Ziliang Luo; Renjie Cui; Carolina Chavarro; Yu-Chien Tseng; Hai Zhou; Ze Peng; Ye Chu; Xiping Yang; Yolanda Lopez; Barry Tillman; Nicholas Dufault; Timothy Brenneman; Thomas G Isleib; Corley Holbrook; Peggy Ozias-Akins; Jianping Wang
Journal:  Theor Appl Genet       Date:  2020-01-23       Impact factor: 5.699

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