Mapping quantitative trait loci for oil, starch, and protein concentrations in grain with high-oil maize by SSR markers

Euphytica ◽  
2007 ◽  
Vol 162 (3) ◽  
pp. 335-344 ◽  
Author(s):  
J. Zhang ◽  
X. Q. Lu ◽  
X. F. Song ◽  
J. B. Yan ◽  
T. M. Song ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Ssr Markers ◽  
Quantitative Trait ◽  
Trait Loci

scholarly journals Mapping for Quantitative Trait Loci and Major Genes Associated with Fresh-cut Browning in Apple

HortScience ◽  
2014 ◽  
Vol 49 (1) ◽  
pp. 25-30 ◽  
Author(s):  
Rui Sun ◽  
Hui Li ◽  
Qiong Zhang ◽  
Dongmei Chen ◽  
Fengqiu Yang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Frequency Distribution ◽  
Ssr Markers ◽  
Quantitative Trait ◽  
Linkage Groups ◽  
Major Genes ◽  
Golden Delicious ◽  
Trait Loci ◽  
Fresh Cut ◽  
Flesh Browning

Flesh browning is an important negative trait for quality preservation of fresh-cut fruits. To obtain a better understanding of the inheritance and genetic control of flesh browning in apple, the phenotype of a hybrid population derived from ‘Jonathan’ × ‘Golden Delicious’ was studied for 2 successive years. The inheritance of the flesh browning trait was analyzed by the frequency distribution of the phenotypes. Flesh browning-associated major genes were then mapped by screening genome-wide simple sequence repeat (SSR) markers. Flesh browning is inherited quantitatively and showed a clear bimodal frequency distribution, indicating that the segregation of major genes is involved in the variation. The segregation ratio of light and heavy browning was 7:1 in 2010, 2011, and 2010 + 2011, suggesting that the inheritance of the trait in apple involves three segregated loci of major genes. The heritability of the major gene effect was 72.14% and 72.76% in 2010 and 2011, respectively. SSR markers were screened from 600 pairs of SSR primers located on 17 apple linkage groups (LGs). The three major genes were mapped on LG10, 15, and 17 on the apple genome, respectively, by linkage analysis of flesh browning phenotypes and the genotypes of SSR markers. Two quantitative trait loci (QTLs) for flesh browning were mapped on LG15 of ‘Jonathan’ and LG17 of ‘Golden Delicious’, respectively, which are the same linkage groups that two major genes mapped on.

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.

Quantitative trait loci mapping for plant architecture traits across two upland cotton populations using SSR markers

2013 ◽  
Vol 152 (2) ◽  
pp. 275-287 ◽  
Author(s):  
C. LI ◽  
L. SONG ◽  
H. ZHAO ◽  
Z. XIA ◽  
Z. JIA ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Ssr Markers ◽  
Cotton Plant ◽  
Quantitative Trait ◽  
Upland Cotton ◽  
Plant Architecture ◽  
High Reliability ◽  
Branch Length ◽  
Common Qtl ◽  
Trait Loci

SUMMARYCotton plant architecture is an important agronomic trait affecting yield and quality. In the present study, two F2:3 upland cotton (Gossypium hirsutum L.) populations were developed from Baimian2/TM-1 and Baimian2/CIR12 to map quantitative trait loci (QTL) for cotton plant architecture traits using simple sequence repeat (SSR) markers. A total of 73 QTL (37 significant and 36 suggestive) affecting plant architecture traits were detected in both populations. Four common QTL, qTFN-17 for total fruit nodes, qFBN-17 for fruit branch nodes, qFBL-17 for fruit branch length and qTFB-17a/qTFB-17b (qTFB-17) for total fruit branches, were found across the two populations. These common QTL should have high reliability and could be used for marker-assisted selection (MAS) to facilitate cotton plant architecture. The two common QTL, qTFN-17 and qFBL-17, were especially significant in both populations, and moreover, they explained >0·100 of the phenotypic variation in at least one population. These two QTL should be considered preferentially for MAS. The synergistic alleles and the negative alleles could be utilized in cotton plant architecture breeding programmes according to specific breeding objectives.

Evaluation of newly developed SSR markers and identification of quantitative trait loci for bast fibre cellulose in white jute ( Corchorus capsularis )

2019 ◽  
Vol 138 (6) ◽  
pp. 897-906
Author(s):  
Sylvain Niyitanga ◽  
Yi Xu ◽  
Aminu Kurawa Ibrahim ◽  
Lilan Zhang ◽  
Shusheng Fang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Ssr Markers ◽  
Quantitative Trait ◽  
Bast Fibre ◽  
Corchorus Capsularis ◽  
Trait Loci

scholarly journals Phylogenetic and Maturity Analyses of Sixty Soybean Genotypes Used for DNA Marker Development of Early Maturity Quantitative Trait Loci in Soybean

2011 ◽  
Vol 7 (1) ◽  
pp. 37 ◽  
Author(s):  
I Made Tasma ◽  
Dani Satyawan ◽  
Ahmad Warsun ◽  
Muhamad Yunus ◽  
Budi Santosa
Keyword(s):  
Quantitative Trait Loci ◽  
Ssr Markers ◽  
Quantitative Trait ◽  
Dna Marker ◽  
Marker Development ◽  
Early Maturity ◽  
Soybean Cultivars ◽  
Early Maturing ◽  
Trait Loci ◽  
Soybean Genotypes

<p>Phylogenetic and Maturity Analyses of Sixty Soybean<br />Genotypes Used for DNA Marker Development of Early<br />Maturity Quantitative Trait Loci in Soybean. I Made<br />Tasma, Dani Satyawan, Ahmad Warsun, Muhamad<br />Yunus, and Budi Santosa. The Indonesian soybean<br />productivity is still very low with the national average of 1.3<br />t/ha. One means to improve national soybean productivity is<br />by manipulating harvest index by cultivating very early<br />maturing soybean cultivars. Development of early maturing<br />soybean cultivars can be expedited by using marker-aided<br />selection. The objective of this study was to select parental<br />lines having contrasted maturity traits and selected parents<br />must be genetically distance. The parents then were used to<br />develop F2 populations for detecting early maturity QTL in<br />soybean. Maturity tests of 60 soybean genotypes were<br />conducted at two locations, Cikeumeuh (Bogor) and Pacet<br />(Cianjur) using a randomized block design with three<br />replications. Genomic DNA of the 60 genotypes were<br />analyzed using 18 SSR markers and genetic relationship was<br />constructed using the Unweighted Pair-Group Method<br />Arithmatic through Numerical Taxonomy and Multivariate<br />System program version 2.1-pc. Results showed that the 60<br />genotypes demonstrated normal distribution in both<br />locations for days to R1 (32-48d), days to R3 (35-55d), days to<br />R7 (75-92d), and days to R8 (78-99d). Four early maturing<br />genotypes and three late genotypes were obtained. Total<br />SSR alleles observed were 237 with average allele per locus<br />of 12.6 (3-29), and average PIC value of 0.78 (0.55-0.89).<br />Genetic similarity among genotypes ranges from 74.8-95%.<br />At similarity level 77% divided the genotypes into six clusters<br />(the four selected early maturing genotypes located in<br />clusters III and IV, while the three late genotypes located in<br />cluster II). Based on maturity data, pubescent color, and<br />phygenetic analysis seven parents were selected (four early<br />maturing genotypes B1430, B2973, B3611, B4433 and three<br />late genotypes B1635, B1658, and B3570). Twelve F2<br />populations were developed with the aid of SSR markers<br />Satt300 dan Satt516. Two of the populations will be used to<br />develop DNA markers for earliness in soybean.</p>

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