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From Markers to Genome-based Breeding in Wheat

Overview
Publisher Springer
Specialty Genetics
Date 2019 Jan 24
PMID 30673804
Citations 47
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Abstract

Recent technological advances in wheat genomics provide new opportunities to uncover genetic variation in traits of breeding interest and enable genome-based breeding to deliver wheat cultivars for the projected food requirements for 2050. There has been tremendous progress in development of whole-genome sequencing resources in wheat and its progenitor species during the last 5 years. High-throughput genotyping is now possible in wheat not only for routine gene introgression but also for high-density genome-wide genotyping. This is a major transition phase to enable genome-based breeding to achieve progressive genetic gains to parallel to projected wheat production demands. These advances have intrigued wheat researchers to practice less pursued analytical approaches which were not practiced due to the short history of genome sequence availability. Such approaches have been successful in gene discovery and breeding applications in other crops and animals for which genome sequences have been available for much longer. These strategies include, (i) environmental genome-wide association studies in wheat genetic resources stored in genbanks to identify genes for local adaptation by using agroclimatic traits as phenotypes, (ii) haplotype-based analyses to improve the statistical power and resolution of genomic selection and gene mapping experiments, (iii) new breeding strategies for genome-based prediction of heterosis patterns in wheat, and (iv) ultimate use of genomics information to develop more efficient and robust genome-wide genotyping platforms to precisely predict higher yield potential and stability with greater precision. Genome-based breeding has potential to achieve the ultimate objective of ensuring sustainable wheat production through developing high yielding, climate-resilient wheat cultivars with high nutritional quality.

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References
1.
Stephens J, Schneider J, Tanguay D, Choi J, Acharya T, Stanley S . Haplotype variation and linkage disequilibrium in 313 human genes. Science. 2001; 293(5529):489-93. DOI: 10.1126/science.1059431. View

2.
Yan L, Loukoianov A, Tranquilli G, Helguera M, Fahima T, Dubcovsky J . Positional cloning of the wheat vernalization gene VRN1. Proc Natl Acad Sci U S A. 2003; 100(10):6263-8. PMC: 156360. DOI: 10.1073/pnas.0937399100. View

3.
Huang L, Brooks S, Li W, Fellers J, Trick H, Gill B . Map-based cloning of leaf rust resistance gene Lr21 from the large and polyploid genome of bread wheat. Genetics. 2003; 164(2):655-64. PMC: 1462593. DOI: 10.1093/genetics/164.2.655. View

4.
Akbari M, Wenzl P, Caig V, Carling J, Xia L, Yang S . Diversity arrays technology (DArT) for high-throughput profiling of the hexaploid wheat genome. Theor Appl Genet. 2006; 113(8):1409-20. DOI: 10.1007/s00122-006-0365-4. View

5.
Uauy C, Distelfeld A, Fahima T, Blechl A, Dubcovsky J . A NAC Gene regulating senescence improves grain protein, zinc, and iron content in wheat. Science. 2006; 314(5803):1298-301. PMC: 4737439. DOI: 10.1126/science.1133649. View