scholarly journals Development of High-Resolution Simple Sequence Repeat Markers through Expression Profiling of Genes Associated with Pod Maturity of Soybean

2020 ◽  
Vol 10 (18) ◽  
pp. 6363
Author(s):  
Myoung Ryoul Park ◽  
Inhye Lee ◽  
Min-Jung Seo ◽  
Hong-Tae Yun
Keyword(s):  
High Resolution ◽  
Ssr Markers ◽  
Quantitative Trait ◽  
Hierarchical Tree ◽  
Days To Maturity ◽  
Glycine Max L ◽  
Late Maturity ◽  
Time Required ◽  
Simple Sequence ◽  
Maturity Groups

In soybeans (Glycine max L.), the time required to attain maturity is a quantitative trait controlled by multiple genes and quantitative trait loci (QTL), which enable soybean cultivars to adapt to various regions with diverse day lengths. In this study, depending on the days to maturity, 100 soybean varieties were classified into eight maturity groups numbered from 0 to VII. The maturity groups were further sorted into three maturity ecotypes: early, middle, and late maturity. The analysis of 55,589 soybean genes revealed a total of 1147 related to the growth and development of soybean pods, including 211 genes with simple sequence repeats (SSRs). We further identified 42 SSR markers that amplified over two alleles in three different ecotypes, including six genes that were up- or downregulated in pods of more than one ecotype. The agglomerative hierarchical tree constructed for the newly identified SSR markers had three clusters. Clusters B-I, B-II, and B-III were found to be strongly related with the early, middle, and late maturity ecotypes, respectively. Therefore, the newly identified set of SSR markers can serve as an effective high-resolution tool for the genotyping and QTL mapping of soybean pod maturity.

scholarly journals A study of the genetic diversity in the world soybean collection using microsatellite markers associated with fungal disease resistance

2020 ◽  
Vol 181 (3) ◽  
pp. 81-90
Author(s):  
A. K. Zatybekov ◽  
Y. T. Turuspekov ◽  
B. N. Doszhanova ◽  
S. I. Abugalieva
Keyword(s):  
Disease Resistance ◽  
Ssr Markers ◽  
Molecular Genetic ◽  
Fungal Disease ◽  
Molecular Genetic Analysis ◽  
Fungal Diseases ◽  
Fungal Disease Resistance ◽  
Glycine Max L ◽  
Purple Seed Stain ◽  
Simple Sequence

Background. Soybean (Glycine max (L.) Merr.) gradually becomes one of the leading legume crops in Kazakhstan. The area under soybeans in the country has been increasing annually and requires the development of adapted cultivars with a higher yield, improved quality characters, and resistance to emerging fungal diseases. The enlargement of the crop’s gene pool also suggests the need to study and document local soybean accessions to meet the standards of the available world soybean collection by using reliable and informative types of DNA markers.Materials and methods. In this study, the soybean collection consisting of 288 accessions from different countries, including 36 cultivars and promising lines from Kazakhstan, was studied. The molecular genetic analysis was performed using nine polymorphic SSR (simple sequence repeats) markers, seven of which (Satt244, Satt565, Satt038, Satt309, Satt371, Satt570 and Sat_308) were associated with resistance to three main fungal diseases of soybean – frogeye leaf spot, fusarium root rot, and purple seed stain.Results. The average PIC (polymorphism information content) value of the analyzed SSR markers constituted 0.66 ± 0.07, confirming their highlevel polymorphism. The principal coordinate analysis suggested that the local accessions were genetically most close to the accessions from East Asia. As the collection showed a robust resistance to three studied fungal diseases in Almaty Region during 2018–2019, the distribution of the studied SSR markers in the population was not significantly associated with resistance to the analyzed diseases under field conditions.Conclusion. SSR genotyping of the soybean collection helped to identify accessions that potentially possess resistance-associated alleles of fungal disease resistance genes. The data obtained can be further used for the development of DNA documentation and the breeding the promising cultivars and lines of soybean. 

scholarly journals Genetic Diversity Analysis between Different Varieties of Chickpea (Cicer arietinum L.) Using SSR Markers

2019 ◽  
Vol 7 (2) ◽  
pp. 236-242
Author(s):  
Summy Yadav ◽  
Vaidehi Shah ◽  
Bhavya Mod
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Genomic Dna ◽  
Physiological Data ◽  
Diversity Analysis ◽  
Hierarchical Tree ◽  
Cicer Arietinum L ◽  
Equal Distance ◽  
Genomic Regions ◽  
Simple Sequence

The paper aims at evaluating genetic diversity among genomes of chickpea comprising of 5 different varieties with the help of simple sequence repeats (SSR) molecular markers. Genomic DNA isolated from all varieties was checked with 15 different SSR markers specific for ENDPOINT PCR using PCR based techniques. Amplification bands with different markers enabled identification of the genomic regions responsible for Drought Tolerance in chickpea. All 15 SSR markers chosen gave monomorphic bands.  A hierarchical tree was also constructed using UPGMA Dendogram for figuring out the exact genetic distance of cultivars using band amplification data. It depicted GUJ-1 and GUJ-2 are closest of all cultivars. GUJ-5 is at the center having GUJ-3 and UJJAVAL at an almost equal distance but GUJ-5 and GUJ-3 are more related. Physiological data also supported this genetic evidence. Int. J. Appl. Sci. Biotechnol. Vol 7(2): 236-242

scholarly journals Identification of Soybean Yield QTL in Irrigated and Rain-Fed Environments

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2207
Author(s):  
Geung-Joo Lee ◽  
Sung-Woo Lee ◽  
Tommy E. Carter ◽  
Grover Shannon ◽  
Roger Boerma
Keyword(s):  
Abiotic Stress ◽  
Glycine Max ◽  
Quantitative Trait Loci ◽  
Ssr Markers ◽  
Seed Yield ◽  
Quantitative Trait ◽  
Genomic Region ◽  
Favorable Alleles ◽  
Yield Variation ◽  
Glycine Max L

Drought is the primary abiotic stress that limits yield of soybean (Glycine max (L.) Merr.). The study aimed to identify yield-related quantitative trait loci (QTLs) in soybeans using a population of 160 F4-derived lines from ‘Hutcheson’ × PI 471938 crosses, which were cultivated under rain-fed and irrigated conditions. Seed yield was determined based on a total of nine irrigated and five rain-fed environments over two years. Twenty and twenty-seven SSR markers associated with yield (P ≤ 0.05) were identified in the irrigated and rain-fed environments, respectively. Four markers accounted for 22% of the yield variation in the irrigated environments (IR-YLD) and five markers explained 34% of the yield variation in the rain-fed environments (RF-YLD). Two independent IR-YLD and RF-YLD QTLs on chromosome (Chr) 13 (LG-F) were mapped to the Satt395-Sat_074 interval (4.2 cM) and near Sat_375 (3.0 cM), which explained 8% (LOD = 2.6) and 17% (LOD = 5.5) of the yield variation, respectively. The lines homozygous for the Hutcheson allele at the IR-YLD QTL linked to Sat_074 averaged 100 kg ha−1 higher yield than the lines homozygous for the PI 471938 allele. At two independent RF-YLD QTLs on Chr 13 and Chr 17, the lines homozygous for the PI 471938 alleles were 74 to 101 kg ha−1 higher in yield than the lines homozygous for the Hutcheson alleles. Three of the five significant SSR markers associated with RF-YLD were located in a genomic region known for canopy-wilting QTLs, in which the favorable alleles were inherited from PI 471938. The identification of yield-QTLs under the respective rain-fed and irrigated environments provides knowledge regarding differential responses of yield under different irrigation conditions, which will be helpful in developing high-yielding soybean cultivars.

Simple sequence repeat markers associated with three quantitative trait loci for black point resistance can be used to enrich selection populations in bread wheat

2007 ◽  
Vol 58 (9) ◽  
pp. 867 ◽  
Author(s):  
M. J. Christopher ◽  
P. M. Williamson ◽  
M. Michalowitz ◽  
R. Jennings ◽  
A. Lehmensiek ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Ssr Markers ◽  
Quantitative Trait ◽  
Simple Sequence Repeat ◽  
Sequence Repeat ◽  
Resistance Qtls ◽  
Black Point ◽  
Resistant Lines ◽  
Trait Loci ◽  
Simple Sequence

Black point in wheat has the potential to cost the Australian industry $A30.4 million a year. It is difficult and expensive to screen for resistance, so the aim of this study was to validate 3 previously identified quantitative trait loci (QTLs) for black point resistance on chromosomes 2B, 4A, and 3D of the wheat variety Sunco. Black point resistance data and simple sequence repeat (SSR) markers, linked to the resistance QTLs and suited to high-throughput assay, were analysed in the doubled haploid population, Batavia (susceptible) × Pelsart (resistant). Sunco and Pelsart both have Cook in their pedigree and both have the Triticum timopheevii translocation on 2B. SSR markers identified for the 3 genetic regions were gwm319 (2B, T. timopheevii translocation), wmc048 (4AS), and gwm341 (3DS). Gwm319 and wmc048 were associated with black point resistance in the validation population. Gwm341 may have an epistatic influence on the trait because when resistance alleles were present at both gwm319 and wmc048, the Batavia-derived allele at gwm341 was associated with a higher proportion of resistant lines. Data are presented showing the level of enrichment achieved for black point resistance, using 1, 2, or 3 of these molecular markers, and the number of associated discarded resistant lines. The level of population enrichment was found to be 1.83-fold with 6 of 17 resistant lines discarded when gwm319 and wmc048 were both used for selection. Interactions among the 3 QTLs appear complex and other genetic and epigenetic factors influence susceptibility to black point. Polymorphism was assessed for these markers within potential breeding material. This indicated that alternative markers to wmc048 may be required for some parental combinations. Based on these results, marker-assisted selection for the major black point resistance QTLs can increase the rate of genetic gain by improving the selection efficiency and may facilitate stacking of black point resistances from different sources.

scholarly journals Genetic diversity analysis of soybean (Glycine max (L.) Merr.) genotypes making use of SSR markers

2019 ◽  
pp. 1113-1119
Author(s):  
Keitumetse Kujane ◽  
Moosa M Sedibe ◽  
Alina Mofokeng
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Polymorphic Information Content ◽  
Molecular Data ◽  
Dna Ladder ◽  
Ssr Primers ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Simple Sequence ◽  
Selection Of

In this study, we aimed to investigate the genetic diversity and polymorphism among 30 soybean genotypes maintained by the ARC using simple sequence repeat (SSR) markers. Soybean genotypes were characterized using 20 SSR primers. DNA was extracted using the standard cetyl trimethylammonium bromide method and amplified using PCR. Allele size was determined via comparison with a 100 base pair (bp) DNA ladder. Molecular data were analyzed, and a dendrogram and matrix were generated using GGT 2.0 software. A total of 216 alleles with an average of 10.8 alleles per locus were detected. The allele sizes ranged between 2 and 33 bp with an average of 18.7 bp. The polymorphic information content among genotypes varied from 0.85 (Satt001) to 0.75 (Satt43) with an average of 0.716, and heterozygosity ranged from 0.87 to 0.78 with an average of 0.7485. The most diverse genotypes were B 66 S 31, 69S 7, and R5-4-2 M, which indicated the efficiency of the SSR markers for the detection of genetic diversity. The results of the current study revealed the diversity among the soybean genotypes tested, which might aid breeders in the future in the selection of parents for breeding.

Duplicate chlorophyll-deficient loci in soybean

Genome ◽  
2004 ◽  
Vol 47 (1) ◽  
pp. 190-198 ◽  
Author(s):  
K K Kato ◽  
R G Palmer
Keyword(s):  
Glycine Max ◽  
Linkage Group ◽  
Ssr Markers ◽  
Molecular Mapping ◽  
Duplicate Gene ◽  
Molecular Linkage Group ◽  
Lethal Yellow ◽  
Glycine Max L ◽  
Allelism Tests ◽  
Simple Sequence

Three lethal-yellow mutants have been identified in soybean (Glycine max (L.) Merr.), and assigned genetic type collection numbers T218H, T225H, and T362H. Previous genetic evaluation of T362H indicated allelism with T218H and T225H and duplicate-factor inheritance. Our objectives were to confirm the inheritance and allelism of T218H and T225H and to molecularly map the locus and (or) loci conditioning the lethal-yellow phenotype. The inheritance of T218H and T225H was 3 green : 1 lethal yellow in their original parental source germplasm of Glycine max 'Illini' and Glycine max 'Lincoln', respectively. In crosses to unrelated germplasm, a 15 green : 1 lethal yellow was observed. Allelism tests indicated that T218H and T225H were allelic. The molecular mapping population was Glycine max 'Minsoy' × T225H and simple sequence repeat (SSR) markers were used. The first locus, designated y18_1, was located on soybean molecular linkage group B2, between SSR markers Satt474 and Satt534, and linked to each by 4.4 and 13.4 cM, respectively. The second locus, designated y18_2, was located on soybean molecular linkage group D2, between SSR markers Satt543 and Sat_001, and linked to each by 2.2 and 4.4 cM, respectively.Key words: duplicate gene, Glycine max, homoeologous genomic segment, genome evolution, lethal-yellow mutant.

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