Molecular mapping of seed aliphatic glucosinolates in Brassica juncea

Genome ◽  
2003 ◽  
Vol 46 (5) ◽  
pp. 753-760 ◽  
Author(s):  
T Mahmood ◽  
U Ekuere ◽  
F Yeh ◽  
A G Good ◽  
G R Stringam
Keyword(s):  
Brassica Juncea ◽  
Marker Assisted Selection ◽  
Molecular Mapping ◽  
Selection Strategy ◽  
Phenotypic Variance ◽  
Total Phenotypic Variance ◽  
Genome Map ◽  
Aliphatic Glucosinolates ◽  
Genomic Map ◽  
Canola Quality

An RFLP genomic map with 316 loci was used to study the inheritance of aliphatic glucosinolates in Brassica juncea using doubled-haploid (DH) populations developed from a cross between RLM-514, an agronomically superior non-canola quality B. juncea (high erucic acid and high glucosinolates), and an agronomically poor canola quality B. juncea breeding line. Two QTLs (GSL-A2a and GSL-A2b) associated with 3-butenyl were consistent across years and locations, and explained 75% of the phenotypic variance in the population. Three QTLs (GSL-A2a, GSL-F, GSL-B3) affected 2-propenyl and explained 78% of the phenotypic variance in the population. For total aliphatic glucosinolates, five QTLs explained 30% to 45% of the total phenotypic variance in the population in different environments. Several QTLs (GSL-A7 and GSL-A3) were highly inconsistent in different environments. Major QTLs (GSL-A2a and GSL-A2b) associated with individual glucosinolates were non-significant for total aliphatic glucosinolates. A marker-assisted selection strategy based on QTLs associated with individual glucosinolates rather than total aliphatic glucosinolates is proposed for B. juncea.Key words: Brassica juncea, aliphatic glucosinolate, 2-propenyl, 3-butenyl, RFLP genome map, QTLs, marker-assisted selection.

scholarly journals QTL detection of yield-related traits of cashew

2012 ◽  
Vol 12 (1) ◽  
pp. 60-66 ◽  
Author(s):  
José Jaime Vasconcelos Cavalcanti ◽  
Francisco Herbeth Costa dos Santos ◽  
Fanuel Pereira da Silva ◽  
Cássia Renata Pinheiro
Keyword(s):  
Quantitative Trait ◽  
Marker Assisted Selection ◽  
Interval Mapping ◽  
Phenotypic Variance ◽  
Qtl Detection ◽  
Total Phenotypic Variance ◽  
Breeding Programs ◽  
Multiple Qtl ◽  
Male Flowers ◽  
Selection Of

The identification of quantitative trait loci (QTL) and marker-assisted selection with a view to breeding programs have aroused great interest, including for cashew improvement. This study identified QTL for yield-related traits: nut weight, male and hermaphrodite flowers. The traits were evaluated in 71 F1 genotypes of the cross CCP 1001 x CP 96. The methods of interval mapping and multiple QTL mapping were applied to identify QTL. Eleven QTL were detected: three for nut weight, four for male flowers and four for hermaphrodite flowers. The QTL accounted for 3.79 to 12.98 % of the total phenotypic variance and had phenotypic effects of -31.81 to 34.25 %. The potential for marker-assisted selection of the QTL hf-2f and hf-3m is great and the phenotypic effects and percentage of phenotypic variation higher than of the others.

DEVELOPMENT OF LOW GLUCOSINOLATE MUSTARD

1990 ◽  
Vol 70 (2) ◽  
pp. 419-424 ◽  
Author(s):  
H. K. LOVE ◽  
G. RAKOW ◽  
J. P. RANEY ◽  
R. K. DOWNEY
Keyword(s):  
Gas Chromatography ◽  
Brassica Juncea ◽  
Interspecific Cross ◽  
Plant Morphology ◽  
Glucosinolate Content ◽  
Aliphatic Glucosinolates ◽  
Plant Grown ◽  
Type 3 ◽  
Canola Quality ◽  
Aliphatic Glucosinolate

The objective of this study was to develop low glucosinolate mustard (Brassica juncea Coss.). This was accomplished through an interspecific cross between an Indian type 3-butenyl glucosinolate containing B. juncea selection and a "Bronowski-gene(s)" containing low glucosinolate B. campestris L. followed by backcrossing to the B. juncea parent. Seed of BC1F2 plants, and selected plants of BC1F3 and BC1F4 generations were analyzed for glucosinolate content by gas chromatography. Total aliphatic glucosinolate contents of individual BC1F2 plants ranged from 57 to 204 μmol g−1 meal. A single BC1F3 plant grown from the BC1F2 plant with the lowest glucosinolate content, identified as 1058, was found to contain less than 1 μmol g−1 meal of total aliphatic glucosinolates. The glucosinolate content in individual plants of the BC1F4 generation of plant 1058 ranged from 0.8 to 2.9 μmol g−1 meal. Field grown progeny of 1058 at three locations in 1987 and at one location in 1988 in Saskatchewan contained less than 10 μmol g−1 meal of total aliphatic glucosinolates. Therefore, the low glucosinolate characteristic of selection 1058 can be considered genetically stable. Progeny of plant 1058 had plant morphology and seed coat reticulation of B. juncea, but poor fertility (< 5 seeds per pod). The development of this low glucosinolate plant is an achievement that should allow the breeding of canola quality oilseed B. juncea mustard.Key words: Mustard, glucosinolate, Brassica juncea, interspecific cross

Genetic variances for liveweight and fleece traits in Merino, Dohne Merino and South African Meat Merino sheep

2001 ◽  
Vol 41 (2) ◽  
pp. 145 ◽  
Author(s):  
S. W. P. Cloete ◽  
S. J. Schoeman ◽  
J. Coetzee ◽  
J. de V. Morris
Keyword(s):  
South African ◽  
Fibre Diameter ◽  
Phenotypic Variance ◽  
Total Phenotypic Variance ◽  
Weaning Weight ◽  
Merino Sheep ◽  
Genetic Variances ◽  
Variance Ratios ◽  
Fleece Weight ◽  
Variance Estimates

(Co)variance estimates for weaning weight, yearling liveweight, clean fleece weight and fibre diameter at yearling age were obtained for Merino, Dohne Merino and South African Meat Merino flocks maintained on the same property. Direct additive genetic variances for weaning weight [expressed as a ratio of the total phenotypic variance (h2, direct heritability)] were estimated at 0.15 for Merinos, 0.21 for Dohne Merinos and 0.32 for South African Meat Merinos. Corresponding maternal variance ratios (m2, including direct maternal variance and permanent environmental maternal variance) were estimated at 0.15, 0.30 and 0.24, respectively. The correlation between direct and maternal variance ratios was high and negative in Dohne Merinos and South African Meat Merinos (–0.72 and –0.53, respectively). Direct heritability estimates for yearling liveweight were 0.30 for Merinos, 0.33 for Dohne Merinos and 0.45 for South African Meat Merinos. Corresponding maternal variance ratios were only significant in the latter 2 breeds, amounting to 0.13 in Dohne Merinos and 0.12 in South African Meat Merinos. For yearling clean fleece weight, h2 and m2 were estimated at 0.28 and 0.12, respectively, for both Merinos and Dohne Merinos. In the case of South African Meat Merinos, only the h2 estimate was significant, at 0.68. Maternal variance ratios for yearling fibre diameter were not significant in any of the breeds, while h2 ranged from 0.58 in Merinos to 0.75 in South African Meat Merinos. Selection progress for yearling traits seems likely in all breeds, depending on the breeding objectives being strived for.

scholarly journals Triticum aestivum × Triticum timopheevii introgression lines as a source of pathogen resistance genes

2011 ◽  
Vol 47 (Special Issue) ◽  
pp. S49-S55 ◽  
Author(s):  
I.N. Leonova ◽  
E.B. Budashkina ◽  
N.P. Kalinina ◽  
M.S. Röder ◽  
A. Börner ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Microsatellite Markers ◽  
Molecular Mapping ◽  
Tetraploid Wheat ◽  
Leaf Rust Resistance ◽  
Pathogen Resistance ◽  
Introgression Lines ◽  
Phenotypic Variance ◽  
Triticum Timopheevii ◽  
Loose Smut

A collection of introgression lines was obtained from crosses of common wheat (Triticum aestivum&nbsp;L.) cultivars with tetraploid wheat Triticum timopheevii (Zhuk.). Evaluation of resistance to fungal diseases revealed the lines with resistance to leaf and stem rusts, powdery mildew, spot blotch, and loose smut, the most widespread in Siberian region of Russia. Localization of the T. timopheevii genome fragments by means of microsatellite markers determined higher frequency of substitutions and translocations on chromosomes 1А, 2A, 2B, 5A, 5B and 6B. Molecular mapping of the loci determining leaf rust resistance revealed two independent loci on chromosomes 5B and 2A. The major locus on 5BS.5BL-5GL translocated chromosome accounting 64%&nbsp;of the phenotypic variance of the trait was found to be closely linked to microsatellite markers Xgwm814 and Xgwm1257. The other, minor locus, controlling 11% of the trait was mapped next to Xgwm312 on chromosome 2A. Microsatellite markers located near these genes may be used for controlling the transfer of valuable traits in new wheat cultivars.

scholarly journals Tumorous Stem Development of Brassica Juncea: A Complex Regulatory Network of Stem Formation and Identification of Key Genes in Glucosinolate Biosynthesis

Plants ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1006
Author(s):  
Mengyao Li ◽  
Fangjie Xie ◽  
Jie Li ◽  
Bo Sun ◽  
Ya Luo ◽  
...  
Keyword(s):  
Brassica Juncea ◽  
Sulfur Metabolism ◽  
Genetic Research ◽  
Glucosinolate Biosynthesis ◽  
Complex Biological Process ◽  
Significant Downward Trend ◽  
Aliphatic Glucosinolates ◽  
Stem Development ◽  
Brassica Vegetable ◽  
Main Component

Stem mustard is a stem variety of mustard, an important Brassica vegetable. The formation and development of the tumorous stem, which is the key organ for the direct yield and quality, is a complex biological process involving morphogenesis, material accumulation and gene regulation. In this study, we demonstrated through anatomical studies that stem swelling is mainly dependent on the increase in the number of cells and the volume of parenchyma cells in the cortex and pith. To further understand transcript and metabolic changes during stem swelling, we obtained 27,901 differentially expressed genes, of which 671 were specifically detected using transcriptome sequencing technology in all four stages of stem swelling. Functional annotation identified enrichment for genes involved in photosynthesis, energy metabolism, cell growth, sulfur metabolism and glucosinolate biosynthesis. Glucosinolates are a group of nitrogen- and sulfur-containing secondary metabolites, which largely exist in the Cruciferous vegetables. HPLC analysis of the contents and components of glucosinolates in four different stem development stages revealed eight glucosinolates, namely, three aliphatic glucosinolates (sinigrin, glucoalyssin and gluconapin), four indole glucosinolates (4-hydroxyglucobrassicin, glucobrassicin, 4-methoxyglucobrassicin and neoglucobrassicin) and one aromatic glucosinolate (gluconasturtiin). All these types of glucosinolates showed a significant downward trend during the stem swelling period. The content of aliphatic glucosinolates was the highest, with sinigrin being the main component. In addition, qPCR was used to validate the expression of nine genes involved in glucosinolate biosynthesis. Most of these genes were down-regulated during stem swelling in qPCR, which is consistent with transcriptome data. These data provide a basic resource for further molecular and genetic research on Brassica juncea.

scholarly journals Non-parametric interval mapping in half-sib designs: use of midranks to account for ties

2003 ◽  
Vol 81 (3) ◽  
pp. 221-228 ◽  
Author(s):  
P. TILQUIN ◽  
I. VAN KEILEGOM ◽  
W. COPPIETERS ◽  
E. LE BOULENGÉ ◽  
P. V. BARET
Keyword(s):  
Disease Resistance ◽  
Infectious Diseases ◽  
Qtl Analysis ◽  
Statistical Power ◽  
Interval Mapping ◽  
Phenotypic Variance ◽  
Total Phenotypic Variance ◽  
Non Parametric ◽  
Normally Distributed

In QTL analysis of non-normally distributed phenotypes, non-parametric approaches have been proposed as an alternative to the use of parametric tests on mathematically transformed data. The non-parametric interval mapping test uses random ranking to deal with ties. Another approach is to assign to each tied individual the average of the tied ranks (midranks). This approach is implemented and compared to the random ranking approach in terms of statistical power and accuracy of the QTL position. Non-normal phenotypes such as bacteria counts showing high numbers of zeros are simulated (0–80% zeros). We show that, for low proportions of zeros, the power estimates are similar but, for high proportions of zeros, the midrank approach is superior to the random ranking approach. For example, with a QTL accounting for 8% of the total phenotypic variance, a gain from 8% to 11% of power can be obtained. Furthermore, the accuracy of the estimated QTL location is increased when using midranks. Therefore, if non-parametric interval mapping is chosen, the midrank approach should be preferred. This test might be especially relevant for the analysis of disease resistance phenotypes such as those observed when mapping QTLs for resistance to infectious diseases.

Expression and relationships of resistance to white rust (Albugo candida) at cotyledonary, seedling, and flowering stages in Brassica juncea germplasm from Australia, China, and India

2007 ◽  
Vol 58 (3) ◽  
pp. 259 ◽  
Author(s):  
C. X. Li ◽  
K. Sivasithamparam ◽  
G. Walton ◽  
P. Salisbury ◽  
W. Burton ◽  
...  
Keyword(s):  
Plant Growth ◽  
Brassica Juncea ◽  
Environmental Conditions ◽  
Host Resistance ◽  
Growth Stages ◽  
Sources Of Resistance ◽  
Albugo Candida ◽  
White Rust ◽  
China And India ◽  
Canola Quality

White rust (Albugo candida) is a highly destructive disease of oilseed Brassicas such as Brassica juncea and B. rapa. Most commercial B. juncea or B. rapa varieties are highly susceptible and yield losses from combined infection of leaves and inflorescences can be up to 20% or 60% in Australia and India, respectively. In Australia, canola-quality B. juncea has been developed to extend oilseed Brassica production into lower rainfall areas, with the first commercial B. juncea canola-quality variety planned for release in 2006. It is essential to identify useful sources of host resistance in B. juncea as breeding and/or selection of material for resistance is the most cost-effective method of delivering control for farmers. Three experiments were undertaken under controlled-environmental conditions to identify the best methods of characterising host resistance and to identify sources of resistance in B. juncea germplasm from Australia, China, and India. Forty-four B. juncea genotypes, viz. 22 from India, 12 from Australia, and 10 from China, were tested. Four Chinese genotypes (CBJ-001, CBJ-002, CBJ-003, CBJ-004) and one Australian genotype (JR049) consistently showed high resistance to A. candida across the different plant growth stages against a pathotype prevailing in Australia. Similarly, the most susceptible genotypes (viz. Indian genotypes RH781, RL1359, RH819) were extremely susceptible irrespective of the plant growth stage. Overall, although disease severity on cotyledons and leaves at the different growth stages was significantly and positively correlated, there was, however, no significant correlation between the number of stagheads and any of the other disease parameters measured. Our study demonstrates that controlled-environmental conditions are suitable for rapid identification of resistant genotypes and that genotypes with high levels of resistance can be reliably identified at the cotyledonary, seedling, or flowering stages.

Productivity and quality of canola and mustard cultivars under weed competition

2008 ◽  
Vol 88 (2) ◽  
pp. 367-372 ◽  
Author(s):  
H. J. Beckie ◽  
E. N. Johnson ◽  
R. E. Blackshaw ◽  
Y. Gan
Keyword(s):  
Brassica Juncea ◽  
Seed Yield ◽  
Weed Management ◽  
Sinapis Alba ◽  
Integrated Weed Management ◽  
Weed Competition ◽  
Weed Interference ◽  
Canola Quality ◽  
Oriental Mustard

Competitive crops or cultivars can be an important component of integrated weed management systems. A study was conducted from 2003 to 2006 at four sites across semiarid prairie ecoregions in Saskatchewan and Alberta to investigate the productivity and quality of canola (Brassica napusL.) and mustard cultivars under weed competition. Four open-pollinated canola cultivars, four hybrid canola cultivars, two canola-quality mustard and two oriental mustard cultivars [Brassica juncea (L.) Czern. & Coss.], and two yellow mustard (Sinapis alba L.) cultivars were grown under weedy and weed-free conditions. When combined across site-years, crop aboveground biomass at maturity and seed yield were reduced by weed interference, except for yellow and oriental mustard. However, seed oil and protein content of cultivars were not affected by weed competition. Among crop types, yellow and oriental mustard were best able to maintain biomass and seed yield under weed interference, followed in decreasing order of competitiveness by hybrid and open-pollinated canola, then canola-quality mustard. Key words: Brassica napus, Brassica juncea, Sinapis alba, weed competition

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