Wheat Sequencing: The Pan-Genome and Opportunities for Accelerating Breeding
Author:
N’Diaye Amidou,Walkowiak Sean,Pozniak Curtis
Abstract
AbstractWheat is a crucial crop globally, with widespread cultivation and significant economic importance. To ensure food security amidst the increasing human population and new production challenges, such as climate change, it is imperative to develop novel wheat varieties that exhibit better quality, higher yield, and enhanced resistance to biotic and abiotic stress. To achieve this, leveraging comprehensive genomic resources from global breeding programs can aid in identifying within-species allelic diversity and selecting optimal allele combinations for superior cultivars. While previous single-reference genome assemblies have facilitated gene discovery and whole-genome level genotype–phenotype relationship modeling, recent research on variations within the pan-genome of all individuals in a plant species underscores their significance for crop breeding. We summarize the different approaches and techniques used for sequencing the large and intricate wheat genome, while highlighting the challenge of generating high-quality reference assemblies. We discuss the computational methods for building the pan-genome and research efforts that are aimed at utilizing the wheat pan-genome in wheat breeding programs.
Publisher
Springer International Publishing
Reference93 articles.
1. Abberton M, Batley J, Bentley A, Bryant J, Cai H, Cockram J, Costa de Oliveira A, Cseke LJ, Dempewolf H, De Pace C, Edwards D, Gepts P, Greenland A, Hall AE, Henry R, Hori K, Howe GT, Hughes S, Humphreys M, Lightfoot D, Marshall A, Mayes S, Nguyen HT, Ogbonnaya FC, Ortiz R, Paterson AH, Tuberosa R, Valliyodan B, Varshney RK, Yano M (2016) Global agricultural intensification during climate change: a role for genomics. Plant Biotechnol J 14:1095–1098 2. Alexander DH, Novembre J, Lange K (2009) Fast model-based estimation of ancestry in unrelated individuals. Genome Res 19:1655–1664 3. Alipour H, Bai G, Zhang G, Bihamta MR, Mohammadi V, Peyghambari SA (2019) Imputation accuracy of wheat genotyping-by-sequencing (GBS) data using barley and wheat genome references. PLoS ONE 14:e0208614 4. Aury J-M, Engelen S, Istace B, Monat C, Lasserre-Zuber P, Belser C, Cruaud C, Rimbert H, Leroy P, Arribat S, Dufau I, Bellec A, Grimbichler D, Papon N, Paux E, Ranoux M, Alberti A, Wincker P, Choulet F (2022) Long-read and chromosome-scale assembly of the hexaploid wheat genome achieves high resolution for research and breeding. GigaScience 11 5. Avni R, Nave M, Barad O, Baruch K, Twardziok SO, Gundlach H, Hale I, Mascher M, Spannagl M, Wiebe K, Jordan KW, Golan G, Deek J, Ben-Zvi B, Ben-Zvi G, Himmelbach A, MacLachlan RP, Sharpe AG, Fritz A, Ben-David R, Budak H, Fahima T, Korol A, Faris JD, Hernandez A, Mikel MA, Levy AA, Steffenson B, Maccaferri M, Tuberosa R, Cattivelli L, Faccioli P, Ceriotti A, Kashkush K, Pourkheirandish M, Komatsuda T, Eilam T, Sela H, Sharon A, Ohad N, Chamovitz DA, Mayer KFX, Stein N, Ronen G, Peleg Z, Pozniak CJ, Akhunov ED, Distelfeld A (2017) Wild emmer genome architecture and diversity elucidate wheat evolution and domestication. Science (New York, NY) 357:93
|
|