Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Capturing Wheat Phenotypes at the Genome Level
Download
index.pdf
Date
2022-07-04
Author
Hussaın, Babar
Akpınar, Bala A.
Alaux, Michael
Algharib, Ahmed M.
Sehgal, Deepmala
Ali, Zulfiqar
Aradottir, Gudbjorg I.
Batley, Jacqueline
Bellec, Arnaud
Bentley, Alison R.
Cagirici, Halise B.
Cattivelli, Luigi
Choulet, Fred
Cockram, James
Desiderio, Francesca
Devaux, Pierre
Dogramaci, Munevver
Dorado, Gabriel
Dreisigacker, Susanne
Edwards, David
El-Hassouni, Khaoula
Eversole, Kellye
Fahima, Tzion
Figueroa, Melania
Gálvez, Sergio
Gill, Kulvinder S.
Govta, Liubov
Gul, Alvina
Hensel, Goetz
Hernandez, Pilar
Crespo-Herrera, Leonardo Abdiel
Ibrahim, Amir
Kilian, Benjamin
Korzun, Viktor
Krugman, Tamar
Li, Yinghui
Liu, Shuyu
Mahmoud, Amer F.
Morgounov, Alexey
Muslu, Tugdem
Naseer, Faiza
Ordon, Frank
Paux, Etienne
Perovic, Dragan
Reddy, Gadi V. P.
Reif, Jochen Christoph
Reynolds, Matthew
Roychowdhury, Rajib
Rudd, Jackie
Sen, Taner Z.
Sukumaran, Sivakumar
Ozdemir, Bahar Sogutmaz
Tiwari, Vijay Kumar
Ullah, Naimat
Unver, Turgay
Yazar, Selami
Appels, Rudi
Budak, Hikmet
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
162
views
75
downloads
Cite This
Recent technological advances in next-generation sequencing (NGS) technologies have dramatically reduced the cost of DNA sequencing, allowing species with large and complex genomes to be sequenced. Although bread wheat (Triticum aestivum L.) is one of the world’s most important food crops, efficient exploitation of molecular marker-assisted breeding approaches has lagged behind that achieved in other crop species, due to its large polyploid genome. However, an international public–private effort spanning 9 years reported over 65% draft genome of bread wheat in 2014, and finally, after more than a decade culminated in the release of a gold-standard, fully annotated reference wheat-genome assembly in 2018. Shortly thereafter, in 2020, the genome of assemblies of additional 15 global wheat accessions was released. As a result, wheat has now entered into the pan-genomic era, where basic resources can be efficiently exploited. Wheat genotyping with a few hundred markers has been replaced by genotyping arrays, capable of characterizing hundreds of wheat lines, using thousands of markers, providing fast, relatively inexpensive, and reliable data for exploitation in wheat breeding. These advances have opened up new opportunities for marker-assisted selection (MAS) and genomic selection (GS) in wheat. Herein, we review the advances and perspectives in wheat genetics and genomics, with a focus on key traits, including grain yield, yield-related traits, end-use quality, and resistance to biotic and abiotic stresses. We also focus on reported candidate genes cloned and linked to traits of interest. Furthermore, we report on the improvement in the aforementioned quantitative traits, through the use of (i) clustered regularly interspaced short-palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9)-mediated gene-editing and (ii) positional cloning methods, and of genomic selection. Finally, we examine the utilization of genomics for the next-generation wheat breeding, providing a practical example of using in silico bioinformatics tools that are based on the wheat reference-genome sequence.
Subject Keywords
abiotic-stress tolerance
,
CRISPR/Cas9
,
disease resistance
,
genome-wide association
,
genomic selection
,
QTL cloning
,
quantitative trait locus mapping
,
Wheat
URI
https://hdl.handle.net/11511/98506
Journal
Frontiers in Plant Science
DOI
https://doi.org/10.3389/fpls.2022.851079
Collections
Department of Biology, Article
Suggestions
OpenMETU
Core
Selection of representative SNP sets for genome-wide association studies: a metaheuristic approach
Ustunkar, Gurkan; AKYÜZ, SÜREYYA; Weber, Gerhard W.; Friedrich, Christoph M.; Aydın Son, Yeşim (2012-08-01)
After the completion of Human Genome Project in 2003, it is now possible to associate genetic variations in the human genome with common and complex diseases. The current challenge now is to utilize the genomic data efficiently and to develop tools to improve our understanding of etiology of complex diseases. Many of the algorithms needed to deal with this task were originally developed in management science and operations research (OR). One application is to select a subset of the Single Nucleotide Polymor...
Isolation of High-Quality RNA from Pichia pastoris
Öztürk, Sibel; Demir, İrem; Çalık, Pınar (Wiley, 2019-12-01)
Analysis of RNA structuromes provides new insights into cellular processes, enabling systems biology and biotechnology researchers to calculate promoter and terminator strengths and to directly observe how differing circuit states impact host gene expression and the burdens imposed by the circuits. Such analysis, however, is crucially dependent on the availability of highly pure, intact RNA isolated from fresh or frozen cell cultures. RNA extraction from the yeast Pichia pastoris requires specific pretreatm...
General guidelines for CRISPR/Cas-based genome editing in plants
Aksoy, Emre; YILDIRIM, KUBİLAY; KAVAS, MUSA; Kayihan, Ceyhun; Yerlikaya, Bayram Ali; Calik, Irmak; Sevgen, Ilkay; Demirel, Ufuk (2022-09-01)
CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated) technology is a versatile genome editing tool that has been used to improve agriculturally important plant traits. Due to its precision, CRISPR/Cas9 is more effective than either conventional plant breeding methods or standard genetic engineering approaches for the rapid development of new varieties resilient to climate change. In addition to knowledge in tissue culture-based plant transformation, effective gene-speci...
Mining microarray data for biologically important gene sets
Korkmaz, Gülberal Kırçiçeği Yoksul; Atalay, Mehmet Volkan; Department of Computer Engineering (2012)
Microarray technology enables researchers to measure the expression levels of thousands of genes simultaneously to understand relationships between genes, extract pathways, and in general understand a diverse amount of biological processes such as diseases and cell cycles. While microarrays provide the great opportunity of revealing information about biological processes, it is a challenging task to mine the huge amount of information contained in the microarray datasets. Generally, since an accurate model ...
Prediction of protein subcellular localization using global protein sequence feature
Bozkurt, Burçin; Atalay, Mehmet Volkan; Department of Computer Engineering (2003)
The problem of identifying genes in eukaryotic genomic sequences by computational methods has attracted considerable research attention in recent years. Many early approaches to the problem focused on prediction of individual functional elements and compositional properties of coding and non coding deoxyribonucleic acid (DNA) in entire eukaryotic gene structures. More recently, a number of approaches has been developed which integrate multiple types of information including structure, function and genetic p...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Hussaın et al., “Capturing Wheat Phenotypes at the Genome Level,”
Frontiers in Plant Science
, vol. 13, pp. 0–0, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/98506.