scholarly journals Identification of genetic characteristics of maize (Zea mays L) using genetic markers

2002 ◽  
pp. 47-56 ◽  
Author(s):  
Marija Zlokolica ◽  
Mirjana Milosevic ◽  
Zorica Nikolic ◽  
Vladislava Galovic
Keyword(s):  
Gene Expression ◽  
Genetic Markers ◽  
Zea Mays L ◽  
Agronomic Traits ◽  
Maize Genome ◽  
Seed Traits ◽  
Genetic Characteristics ◽  
Seed Technology ◽  
Breeding Material

Different genetic markers are used for estimation of breeding material, its characteristics and potential for ultimate aim - heterosis of hybrids. They also point out to the qualitative seed traits at the level of linkage with genes responsible for desirable agronomic traits. This program encompasses testing methodologies for the new seed technology. Genetic analysis of breeding material during certain phases is comprised of isozymic gene expression and degrees of their variability, but it is continued (in order to be evaluated) until determination of presence or absence of some genes existing or introduced for certain traits. Using combination of different molecular methods such as PCR, RAPD and AFLP based on polymorphism of DNA fragments, the definite aim - identification of newly created products of improvement is achieved. Testing of traits of breeding material, its genetic variability and diversity is the first stage in analysis of the maize genome. It is also the condition for determination of presence of certain genes, used for obtaining the ultimate aim - attest of identity of the genotype.

scholarly journals Identification of Structural Variants in Two Novel Genomes of Maize Inbred Lines Possibly Related to Glyphosate Tolerance

Plants ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 523
Author(s):  
Medhat Mahmoud ◽  
Joanna Gracz-Bernaciak ◽  
Marek Żywicki ◽  
Wojciech Karłowski ◽  
Tomasz Twardowski ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Molecule ◽  
Zea Mays L ◽  
Shikimate Pathway ◽  
High Impact ◽  
Maize Genome ◽  
Structural Variants ◽  
Shikimate Dehydrogenase ◽  
Epsps Gene ◽  
Sequencing Technologies

To study genetic variations between genomes of plants that are naturally tolerant and sensitive to glyphosate, we used two Zea mays L. lines traditionally bred in Poland. To overcome the complexity of the maize genome, two sequencing technologies were employed: Illumina and Single Molecule Real-Time (SMRT) PacBio. Eleven thousand structural variants, 4 million SNPs and approximately 800 thousand indels differentiating the two genomes were identified. Detailed analyses allowed to identify 20 variations within the EPSPS gene, but all of them were predicted to have moderate or unknown effects on gene expression. Other genes of the shikimate pathway encoding bifunctional 3-dehydroquinate dehydratase/shikimate dehydrogenase and chorismate synthase were altered by variants predicted to have a high impact on gene expression. Additionally, high-impact variants located within the genes involved in the active transport of glyphosate through the cell membrane encoding phosphate transporters as well as multidrug and toxic compound extrusion have been identified.

DETERMINATION OF ZMHKT1,5 GENE EXPRESSION UNDER DIFFERENT SALT STRESSES USING PLANT TISSUE CULTURE of MAIZE (ZEA MAYS L.).

2020 ◽  
Vol 51 (4) ◽  
pp. 1226-1230
Author(s):  
Al-Salihy & et al.
Keyword(s):  
Gene Expression ◽  
Zea Mays L ◽  
Callus Cultures ◽  
Cellular Level ◽  
Salt Tolerant ◽  
Ion Concentrations ◽  
Maize Genotypes ◽  
Immature Seeds ◽  
Salinity Levels

This study was designed to determine ZmHKT1;5 gene expression  in relatively salt tolerant using four maize genotypes (Alfajr and Almaha  and medium-tolerant ones T1 and T6) within cellular level.  Three salinity levels (2, 8, and 16 ds / m .  Were used immature seeds were surface sterilized and embryos were dissected under full sterilization conditions. Callus was initiated from immature embryos of the above four genotypes on Skoog and Murashige (MS) medium supplemented with the required growth regulators (3 mg/L 2,4-D +0.5 mg/L kinetin) and recultured for three times and transferred to the stress medium containing NaCl. K+/Na+ and Ca+ / Na+ were measured and ZmHKT1;5 gene expression was estimated using Real-time PCR in callus cultures after tree cultures. Results indicated that a significant decrease in calcium and potassium ion concentrations with increasing NaCl level. The highest concentration was recorded in the genotype Almaha, while the lowest was in Alfajr. The highest concentration of gene ZmHKT1;5  expression  was achieved in the Alfajr genotype reached 5.59 at 16 ds/m.

scholarly journals Determination of Flower, Pod and Seed Characteristics Related to Yield Components in Forage Pea Genotypes

2020 ◽  
Vol 8 (9) ◽  
pp. 1994-1999
Author(s):  
Süleyman Avcı ◽  
Onur İleri ◽  
Ali Koç
Keyword(s):  
Cluster Analysis ◽  
Yield Components ◽  
Agronomic Traits ◽  
Seed Traits ◽  
Petal Length ◽  
Dark Violet ◽  
Flower Traits ◽  
Seed Characteristics ◽  
Selection Of

In this study which was carried out during the 2015 summer season in Eskişehir, the flower, pod and seed characters attributed to yield components were investigated in 12 forage pea genotypes. They showed significant differences in terms of agronomic and morphological (flower, pod, and seed) traits. The highest fresh hay yield with 2171 kg/da and plant height with 106.6 cm were obtained from Populasyon-1. Crackerjack had lower values in some flower traits such as, whereas the higher values of pod and seed traits were obtained from cv. Rose. In addition, Population-1 included in the higher value group for standard petal width, keel petal length, calyx tube and teeth lengths, and flower length. Although cluster analysis did not reflect agronomic traits, the clustering resulted in four groups. The first group consisted of Özkaynak 1, 2, and 3 and Taşkent, Töre, and Population-2, which were the standard petal colour violet, light, and dark violet. Population-1 had both violet and white standard petal; however, it was included in the second group together with white-flowered Ulubatlı and Ürünlü according to cluster analysis. While Rose and Gölyazı were in the third group, Crackerjack was in the fourth group alone. There was a highly significant positive correlation between fresh hay yield and both standard petal width and length and flower length. Consequently, a hopeful result for summer growing in Eskişehir condition was obtained from Population-1. It was suggested that some flower characters can be used for pre-selection of yield-related traits in the evaluation of genetic diversity of pea germplasm through morphological trait.

scholarly journals DETERMINATION OF GENE EXPRESSION LEVEL OF CYP74 ENZYMES IN CORN (ZEA MAYS L.) INFECTED BY PHYTOPATHOGEN PANTOEA ANANATIS LMG 20103

ÈKOBIOTEH ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 245-252
Author(s):  
E.O. Smirnova ◽  
◽  
V.V. Balahonova ◽  
O.E. Petrova ◽  
Y.Y. Toporkova ◽  
...  
Keyword(s):  
Gene Expression ◽  
Zea Mays ◽  
Zea Mays L ◽  
Gene Expression Level ◽  
Expression Level ◽  
Pantoea Ananatis

scholarly journals Evolution of Antennapedia-Class Homeobox Genes

Genetics ◽  
1996 ◽  
Vol 142 (1) ◽  
pp. 295-303 ◽  
Author(s):  
Jianzhi Zhang ◽  
Masatoshi Nei
Keyword(s):  
Gene Expression ◽  
Homeobox Genes ◽  
Amino Acid Sequences ◽  
Gene Arrangement ◽  
Gene Duplications ◽  
Group I ◽  
Group 3 ◽  
Group Ii ◽  
Anterior Posterior

Antennapedia (Antp)-class homeobox genes are involved in the determination of pattern formation along the anterior-posterior axis of the animal embryo. A phylogenetic analysis of Antp-class homeodomains of the nematode, Drosophila, amphioxus, mouse, and human indicates that the 13 cognate group genes of this gene family can be divided into two major groups, i.e., groups I and II. Group I genes can further be divided into subgroups A (cognate groups 1–2), B (cognate group 3), and C (cognate groups 4–8), and group II genes can be divided into subgroups D (cognate groups 9–10) and E (cognate groups 11–13), though this classification is somewhat ambiguous. Evolutionary distances among different amino acid sequences suggest that the divergence between group I and group II genes occurred ∼1000 million years (MY) ago, and the five different subgroups were formed by ∼600 MY ago, probably before the divergence of Pseudocoelomates (e.g., nematodes) and Coelomates (e.g., insects and chordates). Our results show that the genes that are phylogenetically close are also closely located in the chromosome, suggesting that the colinearity between the gene expression and gene arrangement was generated by successive tandem gene duplications and that the gene arrangement has been maintained by some sort of selection.

Study of Dosage Compensation in Drosophila

Genetics ◽  
2003 ◽  
Vol 165 (3) ◽  
pp. 1167-1181
Author(s):  
Pei-Wen Chiang ◽  
David M Kurnit
Keyword(s):  
Gene Expression ◽  
X Chromosome ◽  
Dosage Compensation ◽  
Qpcr Assay ◽  
Male And Female ◽  
Multiple Genes ◽  
Chromosomal Changes ◽  
Regulatory Effects

Abstract Using a sensitive RT-QPCR assay, we analyzed the regulatory effects of sex and different dosage compensation mutations in Drosophila. To validate the assay, we showed that regulation for several genes indeed varied with the number of functional copies of that gene. We then confirmed that dosage compensation occurred for most genes we examined in male and female flies. Finally, we examined the effects on regulation of several genes in the MSL pathway, presumed to be involved in sex-dependent determination of regulation. Rather than seeing global alterations of either X chromosomal or autosomal genes, regulation of genes on either the X chromosome or the autosomes could be elevated, depressed, or unaltered between sexes in unpredictable ways for the various MSL mutations. Relative dosage for a given gene between the sexes could vary at different developmental times. Autosomal genes often showed deranged regulatory levels, indicating they were in pathways perturbed by X chromosomal changes. As exemplified by the BR-C locus and its dependent Sgs genes, multiple genes in a given pathway could exhibit coordinate regulatory modulation. The variegated pattern shown for expression of both X chromosomal and autosomal loci underscores the complexity of gene expression so that the phenotype of MSL mutations does not reflect only simple perturbations of genes on the X chromosome.

scholarly journals Multi-omics-based prediction of hybrid performance in canola

2021 ◽  
Author(s):  
Dominic Knoch ◽  
Christian R. Werner ◽  
Rhonda C. Meyer ◽  
David Riewe ◽  
Amine Abbadi ◽  
...  
Keyword(s):  
Hilbert Space ◽  
Genetic Markers ◽  
Reproducing Kernel ◽  
Prediction Models ◽  
Agronomic Traits ◽  
Reproducing Kernel Hilbert Space ◽  
Hybrid Performance ◽  
Hybrid Prediction ◽  
Gaussian Kernels ◽  
Breeding Programmes

Abstract Key message Complementing or replacing genetic markers with transcriptomic data and use of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid prediction accuracies for complex agronomic traits in canola. In plant breeding, hybrids gained particular importance due to heterosis, the superior performance of offspring compared to their inbred parents. Since the development of new top performing hybrids requires labour-intensive and costly breeding programmes, including testing of large numbers of experimental hybrids, the prediction of hybrid performance is of utmost interest to plant breeders. In this study, we tested the effectiveness of hybrid prediction models in spring-type oilseed rape (Brassica napus L./canola) employing different omics profiles, individually and in combination. To this end, a population of 950 F1 hybrids was evaluated for seed yield and six other agronomically relevant traits in commercial field trials at several locations throughout Europe. A subset of these hybrids was also evaluated in a climatized glasshouse regarding early biomass production. For each of the 477 parental rapeseed lines, 13,201 single nucleotide polymorphisms (SNPs), 154 primary metabolites, and 19,479 transcripts were determined and used as predictive variables. Both, SNP markers and transcripts, effectively predict hybrid performance using (genomic) best linear unbiased prediction models (gBLUP). Compared to models using pure genetic markers, models incorporating transcriptome data resulted in significantly higher prediction accuracies for five out of seven agronomic traits, indicating that transcripts carry important information beyond genomic data. Notably, reproducing kernel Hilbert space regression based on Gaussian kernels significantly exceeded the predictive abilities of gBLUP models for six of the seven agronomic traits, demonstrating its potential for implementation in future canola breeding programmes.

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