scholarly journals Comparative Population Genomics of Bread Wheat (Triticum aestivum) Reveals Its Cultivation and Breeding History in China

2019 ◽  
Author(s):  
Haofeng Chen ◽  
Chengzhi Jiao ◽  
Ying Wang ◽  
Yuange Wang ◽  
Caihuan Tian ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Population Genomics ◽  
Wheat Breeding ◽  
Natural Hybridization ◽  
Genetic Changes ◽  
Allopolyploid Speciation ◽  
Genome Wide ◽  
New Strategies ◽  
Comparative Population

AbstractThe evolution of bread wheat (Triticum aestivum) is distinctive in that domestication, natural hybridization, and allopolyploid speciation have all had significant effects on the diversification of its genome. Wheat was spread around the world by humans and has been cultivated in China for ~4,600 years. Here, we report a comprehensive assessment of the evolution of wheat based on the genome-wide resequencing of 120 representative landraces and elite wheat accessions from China and other representative regions. We found substantially higher genetic diversity in the A and B subgenomes than in the D subgenome. Notably, the A and B subgenomes of the modern Chinese elite cultivars were mainly derived from European landraces, while Chinese landraces had a greater contribution to their D subgenomes. The duplicated copies of homoeologous genes from the A, B, and D subgenomes were commonly found to be under different levels of selection. Our genome-wide assessment of the genetic changes associated with wheat breeding in China provides new strategies and practical targets for future breeding.

scholarly journals Genome-wide Survey of the Dehydrin Genes in Bread Wheat (Triticum Aestivum L.) and its Relatives: Identification, Evolution and Expression Profiling Under Various Abiotic Stresses

2021 ◽  
Author(s):  
Yongchao Hao ◽  
Ming Hao ◽  
Hongwei Wang
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Abiotic Stresses ◽  
Aegilops Tauschii ◽  
Protein Structures ◽  
Interaction Network ◽  
Wheat Breeding ◽  
Functional Study ◽  
Genome Wide ◽  
A Genome

Abstract Background: Bread wheat (Triticum aestivum) is an important and fundamental cereal worldwide. With increasingly severe environmental stress, it is very important to mine stress-resistant genes for wheat breeding. Dehydrin (DHN) genes are primary candidates because they are involved in the response to many stressors. Results: Here, a genome-wide analysis of this gene family was performed on the genomes of wheat and its three relatives. A total of 55 DHN genes in Triticum aestivum, 31 in Triticum dicoccoides, 15 in Triticum urartu, and 16 in Aegilops tauschii were identified. The phylogenetic, synteny, sequence and protein structure analyses showed that the DHN genes were divided into five groups, Genes in the same group share similar conserved motifs, protein structures, and potential functions. The tandem TaDHN genes responded strongly to drought, cold and high salinity stresses, while the non-tandem genes were responded weakly to all stress conditions. Further, multiple DHN proteins cooperation maybe an important way to prevent plants from abiotic stress according to the interaction network analysis. Conclusions: Conserved, duplicated DHN genes may have played an important role in the adaptation of wheat to a variety of conditions, hence, contributing to the distribution of bread wheat as a global staple food. This research illuminates the contributions of DHN genes to abiotic stresses in Triticeae species and offers helpful information for further functional study of DHN genes in these crops.

Genome-wide identification, cloning and characterization of SNARE genes in bread wheat ( Triticum aestivum L.) and their response to leaf rust

Agri Gene ◽  
2017 ◽  
Vol 3 ◽  
pp. 12-20 ◽  
Author(s):  
S. Chandra ◽  
P. Halder ◽  
M. Kumar ◽  
K. Mukhopadhyay
Keyword(s):  
Triticum Aestivum ◽  
Leaf Rust ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Genome Wide

scholarly journals Identification of Nitrogen Fixation Genes in Lactococcus Isolated from Maize Using Population Genomics and Machine Learning

2020 ◽  
Vol 8 (12) ◽  
pp. 2043
Author(s):  
Shawn M. Higdon ◽  
Bihua C. Huang ◽  
Alan B. Bennett ◽  
Bart C. Weimer
Keyword(s):  
Machine Learning ◽  
Nitrogen Fixation ◽  
Genome Wide Association Study ◽  
Population Genomics ◽  
Genomic Analysis ◽  
Oxidation Reduction ◽  
Genome Wide ◽  
Biological Nitrogen ◽  
Carbohydrate Catabolism ◽  
Comparative Population

Sierra Mixe maize is a landrace variety from Oaxaca, Mexico, that utilizes nitrogen derived from the atmosphere via an undefined nitrogen fixation mechanism. The diazotrophic microbiota associated with the plant’s mucilaginous aerial root exudate composed of complex carbohydrates was previously identified and characterized by our group where we found 23 lactococci capable of biological nitrogen fixation (BNF) without containing any of the proposed essential genes for this trait (nifHDKENB). To determine the genes in Lactococcus associated with this phenotype, we selected 70 lactococci from the dairy industry that are not known to be diazotrophic to conduct a comparative population genomic analysis. This showed that the diazotrophic lactococcal genomes were distinctly different from the dairy isolates. Examining the pangenome followed by genome-wide association study and machine learning identified genes with the functions needed for BNF in the maize isolates that were absent from the dairy isolates. Many of the putative genes received an ‘unknown’ annotation, which led to the domain analysis of the 135 homologs. This revealed genes with molecular functions needed for BNF, including mucilage carbohydrate catabolism, glycan-mediated host adhesion, iron/siderophore utilization, and oxidation/reduction control. This is the first report of this pathway in this organism to underpin BNF. Consequently, we proposed a model needed for BNF in lactococci that plausibly accounts for BNF in the absence of the nif operon in this organism.

scholarly journals Genome-wide association analyses for yield and yield-related traits in bread wheat (Triticum aestivum L.) under pre-anthesis combined heat and drought stress in field conditions

PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0213407 ◽  
Author(s):  
Mirza Faisal Qaseem ◽  
Rahmatullah Qureshi ◽  
Humaira Shaheen ◽  
Noshin Shafqat
Keyword(s):  
Triticum Aestivum ◽  
Drought Stress ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Field Conditions ◽  
Genome Wide Association ◽  
Association Analyses ◽  
Genome Wide

scholarly journals A genome-wide analysis of the auxin/indole-3-acetic acid gene family in hexaploid bread wheat (Triticum aestivum L.)

2015 ◽  
Vol 6 ◽  
Author(s):  
Linyi Qiao ◽  
Xiaojun Zhang ◽  
Xiao Han ◽  
Lei Zhang ◽  
Xin Li ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Acetic Acid ◽  
Gene Family ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
A Genome ◽  
Indole 3 Acetic Acid

Multi-locus genome-wide association studies reveal novel genomic regions associated with vegetative stage salt tolerance in bread wheat (Triticum aestivum L.)

Genomics ◽  
2020 ◽  
Vol 112 (6) ◽  
pp. 4608-4621
Author(s):  
Shiksha Chaurasia ◽  
Amit Kumar Singh ◽  
L.S. Songachan ◽  
Axma Dutt Sharma ◽  
Rakesh Bhardwaj ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Salt Tolerance ◽  
Bread Wheat ◽  
Association Studies ◽  
Triticum Aestivum L ◽  
Genome Wide Association ◽  
Vegetative Stage ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Genomic Regions

scholarly journals Genome-Wide Identification and Expression Profiles of Late Embryogenesis-Abundant (LEA) Genes during Grain Maturation in Wheat (Triticum aestivum L.)

Genes ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 696
Author(s):  
Datong Liu ◽  
Jing Sun ◽  
Dongmei Zhu ◽  
Guofeng Lyu ◽  
Chunmei Zhang ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Expression Profiles ◽  
Triticum Aestivum L ◽  
Late Embryogenesis Abundant ◽  
Wheat Breeding ◽  
Pcr Analysis ◽  
Lea Genes ◽  
Cellular Dehydration ◽  
Genome Wide ◽  
Late Embryogenesis

Late embryogenesis-abundant (LEA) genes play important roles in plant growth and development, especially the cellular dehydration tolerance during seed maturation. In order to comprehensively understand the roles of LEA family members in wheat, we carried out a series of analyses based on the latest genome sequence of the bread wheat Chinese Spring. 121 Triticum aestivum L. LEA (TaLEA) genes, classified as 8 groups, were identified and characterized. TaLEA genes are distributed in all chromosomes, most of them with a low number of introns (≤3). Expression profiles showed that most TaLEA genes expressed specifically in grains. By qRT-PCR analysis, we confirmed that 12 genes among them showed high expression levels during late stage grain maturation in two spring wheat cultivars, Yangmai16 and Yangmai15. For most genes, the peak of expression appeared earlier in Yangmai16. Statistical analysis indicated that expression level of 8 genes in Yangmai 16 were significantly higher than Yangmai 15 at 25 days after anthesis. Taken together, our results provide more knowledge for future functional analysis and potential utilization of TaLEA genes in wheat breeding.

scholarly journals Estimation of grain productivity and biochemical indicators of the winter bread wheat varieties depending on the forecrop

2021 ◽  
Vol 273 ◽  
pp. 01027
Author(s):  
Оlesya Nekrasova ◽  
Nina Kravchenko ◽  
Dmitry Marchenko ◽  
Evgeny Nekrasov
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Agricultural Research ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Wheat Varieties ◽  
Biochemical Indicators ◽  
Winter Bread Wheat ◽  
Grain Productivity ◽  
Study Results

The purpose of the study was to estimate the effect of sunflower and pea on the amount of productivity, protein and gluten percentage in grain. The objects of the study were 13 winter bread wheat varieties (Triticum aestivum L.) developed by the Agricultural Research Center “Donskoy”. The study was carried out in 2018-2020 on the fields of the department of winter wheat breeding and seed production. The forecrops were peas and sunflower. The study results showed that the varieties ‘Volny Don’ (6.1 t / ha), ‘Krasa Dona’ (6.1 t / ha) and ‘Lidiya’ (6.0 t / ha), when sown after peas, gave the largest yields. The varieties ‘Volny Don’ (4.9 t / ha) and ‘Polina’ (4.8 t / ha) which were sown after sunflower, showed the best productivity. The analysis of qualitative indicators established that the maximum percentage of protein and gluten in grain was identified in the varieties ‘Podarok Krymu’ (16.3%; 28.3%) and ‘Volnitsa’ (16.1%; 28.5%), which were sown after peas; and the same varieties showed good results (‘Podarok Krymu’ (16.2%; 27.4%) and ‘Volnitsa’ (15.7%; 27.8%)), when sown after sunflower.

scholarly journals Genetic diversity of gliadin-coding alleles in bread wheat (Triticum aestivum L.) from Northern Kazakhstan

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7082 ◽  
Author(s):  
Maral Utebayev ◽  
Svetlana Dashkevich ◽  
Nina Bome ◽  
Kulpash Bulatova ◽  
Yuri Shavrukov
Keyword(s):  
Genetic Diversity ◽  
Triticum Aestivum ◽  
Bread Wheat ◽  
Polyacrylamide Gel Electrophoresis ◽  
Germplasm Collection ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Spring Bread Wheat ◽  
Northern Kazakhstan

Background Spring bread wheat (Triticum aestivum L.) represents the main cereal crop in Northern Kazakhstan. The quality of wheat grain and flour strongly depends on the structure of gluten, comprised of gliadin and glutenin proteins. Electrophoresis spectra of gliadins are not altered by environmental conditions or plant growth, are easily reproducible and very useful for wheat germplasm identification in addition to DNA markers. Genetic polymorphism of two Gli loci encoding gliadins can be used for selection of preferable genotypes of wheat with high grain quality. Methods Polyacrylamide gel electrophoresis was used to analyse genetic diversity of gliadins in a germplasm collection of spring bread wheat from Northern Kazakhstan. Results The highest frequencies of gliadin alleles were found as follows, in Gli1: -A1f (39.3%), -B1e (71.9%), and -D1a (41.0%); and in Gli-2: -A2q (17.8%), -B2t (13.5%), and -D2q (20.4%). The combination of these alleles in a single genotype may be associated with higher quality of grain as well as better adaptation to the dry environment of Northern Kazakhstan; preferable for wheat breeding in locations with similar conditions.

Sign in / Sign up

Export Citation Format

Share Document