Duplicate chlorophyll-deficient loci in soybean

Genome ◽  
2004 ◽  
Vol 47 (1) ◽  
pp. 190-198 ◽  
Author(s):  
K K Kato ◽  
R G Palmer

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.

Genome ◽  
2005 ◽  
Vol 48 (2) ◽  
pp. 334-340 ◽  
Author(s):  
Min Xu ◽  
Reid G Palmer

In soybean (Glycine max (L.) Merr.), the w4-mutable line that harbors the w4-m allele was identified in 1983. It was proposed that this line contained an autonomous transposable element at the W4 locus, which is a major locus controlling the biosynthesis of anthocyanin. The w4-m allele can revert to the W4 allele that produces the wild-type phenotype, or sometimes to other alleles that produce intermediate phenotypes. Mutant plants that produce pale flowers were identified among the progeny of a single germinal revertant event from the w4-mutable line. Through genetic analysis, we established that the pale-flower mutation was conditioned by a new allele (w4-p) at the W4 locus. The w4-p allele is dominant to the w4 allele but recessive to the W4 allele, and the w1 allele has an epistatic effect on the w4-p allele. The pale-mutant line (w4-pw4-p) was designated as Genetic Type Collection number T369. An F2 mapping population derived from the cross of Minsoy (W4W4) × T369 (w4-pw4-p) was used to map the W4/w4-p locus, using simple sequence repeat (SSR) markers. The W4 locus was located at one end of molecular linkage group D2, 2.3 cM from the SSR marker Satt386 and close to the nearby telomere.Key words: Glycine max, w4-mutable line, transposable element, SSR markers


2020 ◽  
Vol 181 (3) ◽  
pp. 81-90
Author(s):  
A. K. Zatybekov ◽  
Y. T. Turuspekov ◽  
B. N. Doszhanova ◽  
S. I. Abugalieva

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. 


2020 ◽  
Vol 67 (6) ◽  
pp. 1587-1600
Author(s):  
Maja Žulj Mihaljević ◽  
Hrvoje Šarčević ◽  
Ana Lovrić ◽  
Zoe Andrijanić ◽  
Aleksandra Sudarić ◽  
...  

2020 ◽  
Vol 10 (18) ◽  
pp. 6363
Author(s):  
Myoung Ryoul Park ◽  
Inhye Lee ◽  
Min-Jung Seo ◽  
Hong-Tae Yun

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.


Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2207
Author(s):  
Geung-Joo Lee ◽  
Sung-Woo Lee ◽  
Tommy E. Carter ◽  
Grover Shannon ◽  
Roger Boerma

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.


2019 ◽  
Vol 32 (4) ◽  
pp. 371-380
Author(s):  
Zhixing Nie ◽  
Tuanjie Zhao ◽  
Meifeng Liu ◽  
Jinying Dai ◽  
Tingting He ◽  
...  

2019 ◽  
Vol 33 (1) ◽  
pp. 75-75
Author(s):  
Zhixing Nie ◽  
Tuanjie Zhao ◽  
Meifeng Liu ◽  
Jinying Dai ◽  
Tingting He ◽  
...  

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