scholarly journals Population structure of Nepali spring wheat (Triticum aestivum L.) germplasm

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Kamal Khadka ◽  
Davoud Torkamaneh ◽  
Mina Kaviani ◽  
Francois Belzile ◽  
Manish N. Raizada ◽  
...  

Abstract Background Appropriate information about genetic diversity and population structure of germplasm improves the efficiency of plant breeding. The low productivity of Nepali bread wheat (Triticum aestivum L.) is a major concern particularly since Nepal is ranked the 4th most vulnerable nation globally to climate change. The genetic diversity and population structure of Nepali spring wheat have not been reported. This study aims to improve the exploitation of more diverse and under-utilized genetic resources to contribute to current and future breeding efforts for global food security. Results We used genotyping-by-sequencing (GBS) to characterize a panel of 318 spring wheat accessions from Nepal including 166 landraces, 115 CIMMYT advanced lines, and 34 Nepali released varieties. We identified 95 K high-quality SNPs. The greatest genetic diversity was observed among the landraces, followed by CIMMYT lines, and released varieties. Though we expected only 3 groupings corresponding to these 3 seed origins, the population structure revealed two large, distinct subpopulations along with two smaller and scattered subpopulations in between, with significant admixture. This result was confirmed by principal component analysis (PCA) and UPGMA distance-based clustering. The pattern of LD decay differed between subpopulations, ranging from 60 to 150 Kb. We discuss the possibility that germplasm explorations during the 1970s–1990s may have mistakenly collected exotic germplasm instead of local landraces and/or collected materials that had already cross-hybridized since exotic germplasm was introduced starting in the 1950s. Conclusion We suggest that only a subset of wheat “landraces” in Nepal are authentic which this study has identified. Targeting these authentic landraces may accelerate local breeding programs to improve the food security of this climate-vulnerable nation. Overall, this study provides a novel understanding of the genetic diversity of wheat in Nepal and this may contribute to global wheat breeding initiatives.

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11593
Author(s):  
Vipin Tomar ◽  
Guriqbal Singh Dhillon ◽  
Daljit Singh ◽  
Ravi Prakash Singh ◽  
Jesse Poland ◽  
...  

Genetic diversity and population structure information are crucial for enhancing traits of interest and the development of superlative varieties for commercialization. The present study elucidated the population structure and genetic diversity of 141 advanced wheat breeding lines using single nucleotide polymorphism markers. A total of 14,563 high-quality identified genotyping-by-sequencing (GBS) markers were distributed covering 13.9 GB wheat genome, with a minimum of 1,026 SNPs on the homoeologous group four and a maximum of 2,838 SNPs on group seven. The average minor allele frequency was found 0.233, although the average polymorphism information content (PIC) and heterozygosity were 0.201 and 0.015, respectively. Principal component analyses (PCA) and population structure identified two major groups (sub-populations) based on SNPs information. The results indicated a substantial gene flow/exchange with many migrants (Nm = 86.428) and a considerable genetic diversity (number of different alleles, Na = 1.977; the number of effective alleles, Ne = 1.519; and Shannon’s information index, I = 0.477) within the population, illustrating a good source for wheat improvement. The average PIC of 0.201 demonstrates moderate genetic diversity of the present evaluated advanced breeding panel. Analysis of molecular variance (AMOVA) detected 1% and 99% variance between and within subgroups. It is indicative of excessive gene traffic (less genetic differentiation) among the populations. These conclusions deliver important information with the potential to contribute new beneficial alleles using genome-wide association studies (GWAS) and marker-assisted selection to enhance genetic gain in South Asian wheat breeding programs.


2022 ◽  
Author(s):  
Ming Jiang ◽  
Song Yan ◽  
Weichao Ren ◽  
Nannan Xing ◽  
Hongyuan Li ◽  
...  

Abstract Bupleurum (named “Chai-hu”) is an important traditional Chinese medicine resource in China. It has been widely used since ancient times and has antipyretic, analgesic and cholagogic functions, but there is little research on its genetic diversity. In this study, genotyping-by-sequencing (GBS) was used to detect SNP loci in 39 Bupleurum germplasm resources from different regions in China and analyse their genetic diversity. A total of 25.1 Gb of data was obtained by sequencing, with an average of 0.64 Gb per sample. After screening, 83898 high-quality SNPs were obtained. The results of genetic research were obtained by phylogenetic tree, principal component analysis and population structure analysis, and the 39 experimental materials were divided into three groups. The average observed heterozygosity and expected heterozygosity of Bupleurum populations were 0.24 and 0.17, respectively, indicating that Bupleurum populations from five different provinces had a low level of genetic diversity. Population nucleotide diversity analysis and analysis of molecular variance showed that the percentage of intrapopulation variation was 120.88%, while the percentage of interpopulation variation was only 2.46%. There was relative aggregation of Bupleurum samples with the same geographical origin, but the division of population structure was not completely correlated with sample origin. The results showed that the genetic diversity of the materials was low and that the genetic variation was narrow. This provides a good basis for the genetic breeding and protection of species diversity of Bupleurum.


PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e94000 ◽  
Author(s):  
Nanna Hellum Nielsen ◽  
Gunter Backes ◽  
Jens Stougaard ◽  
Stig Uggerhøj Andersen ◽  
Ahmed Jahoor

2018 ◽  
Vol 66 (2) ◽  
pp. 335-348 ◽  
Author(s):  
Emily Gordon ◽  
Mina Kaviani ◽  
Sateesh Kagale ◽  
Thomas Payne ◽  
Alireza Navabi

2015 ◽  
Vol 28 (1) ◽  
pp. 17-22
Author(s):  
M. S. Rahman ◽  
L. Ali ◽  
A. Sultana ◽  
M. Ruhullah ◽  
M. S. Hossain

Genetic diversity among 24 spring wheat genotypes (Varieties/lines) was estimated using Mahalanobis D2-statistics and principal coordinate analysis. The genotypes fell into four clusters of different size.  Of the seven different characters spike length and 1000 grain weight had the highest contribution towards the divergence. The highest inter cluster distance was observed between cluster I and III followed by cluster II and III. So, genotypes from the most divergence clusters could be used as parents in hybridization program and are expected to manifest maximum heterosis as well as broad spectrum of variability.


2016 ◽  
Vol 54 (4) ◽  
pp. 421-437 ◽  
Author(s):  
Tulin Tascioglu ◽  
Ozge Karakas Metin ◽  
Yildiz Aydin ◽  
Muhammet Sakiroglu ◽  
Kadir Akan ◽  
...  

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7082 ◽  
Author(s):  
Maral Utebayev ◽  
Svetlana Dashkevich ◽  
Nina Bome ◽  
Kulpash Bulatova ◽  
Yuri Shavrukov

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.


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