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At least 19 recordsLinked to original sources
PubMedDate not supplied

Diallel analysis of four agronomic traits in common wheat.

The common wheat cultivars Aköz, Florence, Mentana, Jaral, and Siete Cerros were crossed in 1972 in all possible combinations excluding reciprocals. In 1972--1973 the F1 hybrids and the five parents were field grown at Bornova in randomized complete blocks. The characters studied were plant height, spike length, 1000-kernel weight, and plant yield. The analysis of data showed that (a) with respect to plant height and 1000-kernel weight all F1 combinations deviated from the corresponding midparental values, (b) for the same characters the GCA variances were significant and the GCA divided by SCA ratios high, (c) the characters' plant height, spike length, and 1000-kernel weight were probably controlled by two effective factors each, and (d) plant height had the highest and 1000-kernel weight the lowest heritability (h2=0.66 and h2=0.26, respectively). It was concluded that a desired response to selection could be expected for plant height and 1000-kernel weight.

Alleles↗
PubMed1990

Restriction fragment length polymorphism (RFLP) analysis in wheat. I. Genomic DNA library construction and RFLP analysis in common wheat.

To develop detailed linkage maps of restriction fragment length polymorphism (RFLP) sites in wheat chromosomes, it was necessary to construct a genomic DNA library and to characterize the clones obtained. Forty-nine per cent of the clones were of single or low copy number per genome. With 91 clones of this class, as probes, and with two to four restriction endonucleases, for DNA digestion, RFLPs were examined among eight common wheats and a single emmer wheat. About 20% of the probes, and 13% of the probe-enzyme combinations revealed genetic polymorphism among the common wheats. DNA deletions account for most of the genetic differences among these wheat genomes. Based on the RFLP data, phylogenetic distances among the nine polyploid wheats were estimated, and a dendrogram showing the genetic relationships among them was constructed.

Blotting, Southern↗
PubMed1991

Restriction fragment length polymorphism (RFLP) analysis in wheat. II. Linkage maps of the RFLP sites in common wheat.

Sixty-six F2 plants from the cross, Triticum aestivum cv. Chinese Spring (abbrev. CS) x T. spelta var. duhamelianum (Spelta), exhibiting the greatest number of RFLPs among eight common wheats, were analyzed for their RFLP genotypes using genomic DNA clones of CS as probes. In total, 204 RFLP loci were identified and their linkage relationships established. By nulli-tetrasomic analyses, all linkage groups were assigned to one another of the 21 wheat chromosomes. In addition, the carrier chromosomes of 228 non-RFLP loci were identified. The linkage maps of these RFLP loci have a total size of 1800 cM and exceed those of the classical genes in both size and locus number. Twenty loci show distorted segregation, four of which are clustered on chromosome 4A and three on the 2D chromosome. The CS alleles on 4A exhibit preferential transmission, while those on 2D exhibit depressed transmission, compared with Spelta alleles. This suggests the influence of gametic factors in those regions. RFLP loci are much fewer in the D genome than in the A and B genomes, but the numbers of non-RFLP loci are nearly the same in these three genomes. This suggests that Spelta wheat originated from a hybridization between T. dicoccum (spelt emmer) and T. aestivum.

Alleles↗
PubMed1979

Properties of common wheat ferredoxin, and a comparison with ferredoxins from related species of triticum and aegilops.

Wheat ferredoxin was purified from the leaves of common wheat (Triticum aestivum). The absorption spectrum showed maxima at 465, 425, 332, and 278 nm. The absorbance ratio, A425 nm/A278 nm was 0.49, and the millimolar extinction coefficient at 425 nm was 10.8 mM-1. cm-1. The amino acid composition was determined to be Lys5, His2, Arg1, Asp11, Thr5, Ser7, Glu18, Pro5, Gly6, Ala7, Cys5, Val7, Met1, Ile4, Leu7, Tyr4, Phe1, and Trp1. The total number of amino acid residues was 97. The molecular weight was calculated from the amino acid composition to be 10,829, including iron and sulfur atoms. This value was confirmed by other methods, which were based on the contents of non-heme iron and of terminal amino acid. The N-terminal amino acid was alanine, and the C-terminal amino acid sequence was -Glu-Leu-Thr-AlaCOOH. Comparative studies were performed between T. aestivum ferredoxin and ferredoxins isolated from closely related species; these were T. aegilopoides, T. durum, Ae. squarrosa, and Ae. ovata. No significant differences in the properties of these ferredoxins were detected. It was also shown that these ferredoxins are immunologically homologous. It is, therefore, likely that one molecular species of ferredoxin is distributed through two genera of Triticum and Aegilops.

Amino Acids↗
PubMedDate not supplied

Heritability estimates from four generations of a diallel cross of common wheat.

The heritabilities of 10 quantitative characters were studied on F1, F2, backcross, and selfed backcross generations of a five-parent diallel cross of common wheat grown at two locations. From this study it was found that (a) most of the characters in question were highly heritable, (b) the heritabilities estimated by regression and variance component methods were more or less the same (r=0.84** to 0.95**), and (c) the heritability of some characters was affected by location or by generation; in one case only (1000-kernel weight) was the heritability of the character affected by both.

Alleles↗
PubMed2026

Comparative Genome-Wide Association Studies of Metabolites and Grain-Related Traits in Common Wheat.

The metabolome is highly diverse and the closest layer to phenotype; therefore, it is commonly regarded as a bridge between the genome and phenome in plants. Here, we performed large-scale metabolome analysis using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and 33 grain-related traits in a diverse panel of natural accessions and a recombinant inbred line (RIL) population. We identified a new network of 2286 associations between 947 metabolites and 33 grain-related traits. Systematic integration of metabolic genome-wide association study (mGWAS) and metabolic quantitative trait locus (mQTL) analyses identified 33 566 significant single-nucleotide polymorphisms (SNPs) and 3128 mQTL. Thirteen annotated metabolites co-localized within a physical interval on 7A. Integration of metabolite-based and phenotype-based GWAS and QTL revealed an overlapped region for gibberellin A4 (GA4) content and grain roundness on 4A. Phenotyping of an ethyl methanesulfonate (EMS)-induced mutant confirmed the role of TaSDR in regulating GA4 content and grain morphology. These findings provide novel insights into the metabolic pathways influencing key grain-related traits and advance our understanding of the complex molecular mechanisms regulating grain metabolites and phenotypes in wheat. The identified metabolic markers and candidate genes provide valuable targets for molecular breeding programs aimed at improving wheat yield and quality.

QTL↗
PubMed1991

Two-dimensional electrophoresis of 1D-encoded B and D glutenin subunits in common wheats with similar omega gliadins.

Gli-D1-encoded omega gliadins of bread wheats show little variation; their electrophoretic patterns can be classified into two main groups which broadly resemble the patterns found in the cultivars Chinese Spring and in Cheyenne. B and D subunits of low molecular weight glutenin encoded by the chromosome 1D loci Glu-D3 and Gli-D1, respectively, also showed little variation. D subunits were found only in bread wheats with "Chinese Spring-type" omega gliadins and they all exhibited the same electrophoretic pattern. This material also showed very similar B subunits. "Cheyenne-type" bread wheats displayed the same electrophoretic distribution of chromosome 1D-encoded B subunits, although they were slightly different from that found in Cheyenne itself.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2025

Enriched grain minerals in Aegilops tauschii-derived common wheat population under heat-stress environments.

In wheat (Triticum aestivum L.), an important source of dietary minerals, heat stress during the grain filling stage negatively affects grain yield and quality. Wheat grain mineral content has been primarily evaluated under optimum conditions; little information is available on the genetic variations and loci involved in mineral accumulation under heat stress. Therefore, this study aimed to assess the variation in 13-grain mineral concentrations and thousand kernel weight of 145 wheat multiple synthetic derivatives (MSD) genotypes harboring genes from the wild relative Aegilops tauschii Coss., evaluated under heat-stress field conditions in Sudan for two seasons, and to dissect the genomic regions associated with these mineral contents using GWAS. Our results showed sufficient variations in mineral concentrations among the MSD lines. Some MSD lines had 30-50% more minerals than the recurrent parent Norin 61. We detected 188 significant marker-trait associations (MTAs), 44 MTAs in season 2018/19, one in season 2019/20, and 143 based on BLUE. The highly significant, stable, and promising MTAs were related to Mg, Mn, P, and Ba. We identified putative candidate genes potentially involved in mineral movement (TraesCS5D03G0728800) and response to heat stress (TraesCS5D03G0723300). The findings in this study help to enhance mineral concentration and resilience in wheat under heat.

Triticum↗
PubMed2024

QTL mapping for seed vigor-related traits under artificial aging in common wheat in two introgression line (IL) populations.

BACKGROUND: Seed vigor recognized as a quantitative trait is of particular importance for agricultural production. However, limited knowledge is available for understanding genetic basis of wheat seed vigor. METHODS: The aim of this study was to identify quantitative trait loci (QTL) responsible for 10 seed vigor-related traits representing multiple aspects of seed-vigor dynamics during artificial aging with 6 different treatment times (0, 24, 36, 48, 60, and 72 h) under controlled conditions (48 °C, 95% humidity, and dark). The mapping populations were two wheat introgression lines (IL-1 and IL-2) derived from recipient parent (Lumai 14) and donor parent (Shaanhan 8675 or Jing 411). RESULTS: A total of 26 additive QTLs and 72 pairs of epistatic QTLs were detected for wheat seed-vigor traits. Importantly, chromosomes 1B and 7B contained several co-located QTLs, and chromosome 2A had a QTL-rich region near the marker Xwmc667, indicating that these QTLs may affect wheat seed vigor with pleiotropic effects. Furthermore, several possible consistent QTLs (hot-spot regions) were examined by comparison analysis of QTLs detected in this study and reported previously. Finally, a set of candidate genes for wheat seed vigor were predicted to be involved in transcription regulation, carbohydrate and lipid metabolism. CONCLUSION: The present findings lay new insights into the mechanism underlying wheat seed vigor, providing valuable information for wheat genetic improvement especially marker-assisted breeding to increase seed vigor and consequently achieve high grain yield despite of further investigation required.

Triticum↗
PubMed1992

Variations in chloroplast proteins and nucleotide sequences of three chloroplast genes in Triticum and Aegilops.

Two alloplasmic wheat lines having the same common wheat nucleus but the cytoplasms of Aegilops crassa and Ae. columnaris together with the corresponding normal line (control) were used in the two-dimensional gel electrophoresis of soluble and thylakoid membrane proteins of the chloroplast. Three chloroplast polypeptides: the Rubisco large subunit, the beta subunit of ATP synthase, and an unidentified 31 kDa protein, differed in the common wheat and two Aegilops cytoplasms. Three chloroplast genes, atpB, atpE and trnM, that respectively encode the beta and epsilon subunits of ATP synthase and tRNA(met), were sequenced. The atpB gene differed by two synonymous base substitutions, whereas the other two genes were identical in the two Aegilops cytoplasms. From the predicted amino acid sequences, the beta subunits of the ATP synthase in the Aegilops cytoplasms were assumed to have three amino acid substitutions: Ala by Val, Asp- by Ala, and Gln by Lys+, in contrast to the cytoplasm of common wheat. This accounts for the difference in pI values found for the common wheat and Aegilops cytoplasms. The two base substitutions for the atpE genes of common wheat and the Aegilops cytoplasms were synonymous. The differences detected in the genes encoding the two subunits of ATP synthase do not appear to be ascribable to the differences in phenotypic effects for the common wheat and Aegilops cytoplasms. The base substitution rate of the atpB-atpE-trnM gene cluster was similar to that of the rbcL gene. From the rate for the atpB gene alone, evolutionary divergence of the wheat-Aegilops complex is assumed to have begun ca. 3.0 x 10(6) years ago, as compared to ca. 8.0 x 10(6) years ago for the divergence of the wheat-Aegilops complex and barley.

Amino Acid Sequence↗
PubMedDate not supplied

Evaluation of branched ear derivatives of Triticum aestivum L.

The branched spikes of Triticum turgidum L. have a potential of producing a high number of kernels. Some of the selected lines of T. turgidum yielded up to 150 kernels per spike as compared to 60--70 kernels per spike in the common wheat cultivar Chenab-70. The best of these lines were crossed with the common wheats Chenab-70, Mexipak, and C-271. Among the lines obtained by selection from the advanced generations of the T. turgidum X Chenab-70 cross, some are similar to Chenab-70 with respect to tillering, plant shape, plant height, and leaf position, but their spikes are branched like those of the T. turgidum parent. These lines appear to be fairly homozygous. Chenab-70 produces, on the average, 60 kernels per spike, 34.8 g of grain per plant and has a 1000-kernel weight of 35 g. The number of kernels per spike, the yield of grain per plant and the 1000-kernel weight of the selected hybrid lines ranged from 25 to 133, from 8.5 to 59.6 g, and from 30.0 to 46.0 g, respectively, which shows that the chances of obtaining high-yielding new common wheat cultivars having spikes branched as those of the T. turgidum parent fairly good.

Phenotype↗
PubMed1985

Skin test and RAST responses to wheat and common allergens and respiratory disease in bakers.

Interrelationships between skin and humoral tests for immediate hypersensitivity to wheat and indicators of respiratory disease were examined in 176 male bakers. Skin tests were assessed by measuring the diameter of the weal resulting from prick innoculation of allergen extract and circulating allergen-specific IgE by radioallergosorbent test (RAST). Fifteen per cent of subjects showed positive skin-prick test responses to wheat extracts. These subjects demonstrated an increased prevalence of respiratory symptoms and of measurable bronchial responsiveness to methacholine. Thirty per cent of subjects had positive skin test responses to common allergens but negative responses to whole wheat. Compared to subjects with no positive skin test responses they had an increased prevalence of bronchial responsiveness to methacholine but a similar prevalence of respiratory symptoms. There was a significant association between skin test responses to whole wheat and skin test responses to common allergens suggesting that bakers with pre-existing sensitivity to common allergens are at increased risk of developing wheat flour sensitization. There was no significant difference between skin-prick test and RAST responses to wheat, water-soluble wheat protein and common allergens. Both tests showed similar relationships with indices of respiratory disease. The associations between skin test and RAST responses to wheat extracts and indices of respiratory disease was stronger for the water-soluble wheat proteins than for other wheat grain extracts. These results suggest that immediate hypersensitivity to wheat flour is important in the development of non-specific bronchial hyperreactivity in bakers and that the water-soluble fractions of wheat flour are the most important allergenic components.(ABSTRACT TRUNCATED AT 250 WORDS)

Adolescent↗
PubMed2025

An elegant co-transformation strategy for recalcitrant wheat using morphogenic regulators.

Common wheat (Triticum aestivum L.) is a vital global crop, but many elite cultivars remain recalcitrant to genetic transformation, hindering functional genomics and crop improvement. Here, we developed an efficient co-transformation strategy for recalcitrant wheat varieties (e.g., Aikang58 and Xinong979) using the morphogenic gene mTaGRF4-TaGIF1. This approach entails mixing Agrobacterium tumefaciens cultures carrying two separate vectors: a standard gene-of-interest (GOI) vector (containing a selectable marker) and a gene-of-co-transformation vector (GOC, expressing mTaGRF4-TaGIF1 without a selectable marker). Co-transformation enhanced regeneration efficiency to ~37.38% in AK58, a marked improvement over conventional methods, enabling consistent recovery of transgenic plants. Among regenerants, ~63.25% carried both GOI and GOC (GOI&GOC), while ~11.92% contained only the GOI. Only-GOI plants could also be obtained through progeny segregation from GOI&GOC lines. We successfully generated GUS- and RUBY-expressing transgenic lines, as well as CRISPR-Cas9-edited mutants targeting Q and Ph1 genes, confirming the method's efficacy for both gain-of-function and genome editing application. Furthermore, the strategy was successfully extended to another recalcitrant variety Xinong979, demonstrating its potential for broad applicability. Unlike existing methods dependent on complex excision systems or tissue-specific promoters, our co-transformation methodology significantly simplifies both vector design and procedural workflow while maintaining high efficiency. Collectively, these findings establish a technically advanced yet operationally simplified transformation platform that addresses the long-standing challenge of genetic transformation in recalcitrant wheat varieties, providing researchers with a powerful tool for functional genomics studies and accelerating precision breeding programs in elite wheat cultivars.

Triticum↗
PubMed1978

Genetic aspects of wheat gliadin proteins.

Inheritance of gliadin components unique to three different varieties of common wheat (Triticum aestivum L.) was studied in F1 and F2 seeds of intervarietal crosses using protein patterns obtained by polyacrylamide gel electrophoresis in aluminum lactate buffer (pH 3.2). The patterns of F1 seeds of the crosses Cheyenne X Justin and INIA 66R X Justin evidenced all the bands present in the patterns of the parents; band intensities reflected gene dosage levels dependent on whether the contributing parent was maternal or paternal in accordance with the triploid nature of endosperm tissue. Most of the gliadin components examined segregated in accordance with control by a single dominant gene, but in two instances single bands in the one-dimensional electrophoretic patterns segregated in the F2 as expected if controlled by two genes. A method of two-dimensional electrophoresis was developed that resolved these apparently single bands into two components each, which could segregate independently. Linkage analysis provided evidence of codominant alleles and closely linked genes coding for gliadin protein components in both coupling and repulsion situations. The gliadin protein components seem to be coded for by clusters of genes located on chromosomes of homoeologous groups 1 and 6 in hexaploid wheats.

Aluminum↗
PubMed1989

Effects of supplemental silage on forage intake and utilization by steers grazing wheat pasture or bermudagrass.

Seven trials were conducted to determine the effects of increasing amounts of silage (corn, wheat or sorghum) on forage intake, gastrointestinal tract fill, fecal output and ruminal flow and degradation of forage by cattle grazing wheat pasture or bermudagrass. In each of 3 yr, 24 steers grazed a common wheat or bermudagrass pasture and were randomly allocated to four treatments (0, .35, .70 or 1.05 kg silage DM.100 kg body weight-1.d-1). Intake and ruminal flow of forage were measured by feeding a single pulse dose of Yb-labeled forage followed by collection of fecal samples for 4 to 5 d and fitting Yb concentrations to a one-compartment, age-dependent model. Ruminal digestion kinetics of wheat forage were estimated in situ using eight ruminally cannulated steers fed 0 or .55 kg sorghum silage DM.100 kg body weight-1.d-1. Supplemental silage decreased wheat forage (P less than .10) and bermudagrass (P less than .01) intake linearly. However, total forage intake of bermudagrass plus silage increased linearly (P less than .05). Each kilogram of added silage DM decreased DM intake of wheat forage by .66 +/- .25 and of bermudagrass by .63 +/- .17 kg. Flow and turnover of wheat forage or bermudagrass were not altered (P greater than .15) by supplemental silage. Silage consumption increased extent of ruminal degradation of wheat forage DM (P less than .05; 63.1 vs 52.5%), indicating a positive associative effect of silage on wheat forage utilization.(ABSTRACT TRUNCATED AT 250 WORDS)

Animal Feed↗
PubMed2026

Large-Scale Genomic Analysis of Stripe Rust Resistance in Chinese Wheat Germplasm Using Multi-Environment Trial Data.

Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is a significant disease affecting global wheat crops and causing substantial economic losses. This study aimed to identify effective resistance genes by evaluating 120 common wheat accessions from diverse regions in China. These samples were tested with three Pst races at the seedling stage and with natural Pst inoculum at four field locations in three crop seasons. Genotypic data were collected through a Wheat55K iSelect single-nucleotide polymorphism array. The genome-wide association study identified 17 distinct loci linked to stripe rust response, accounting for 1.07 to 30.58% of the phenotypic variation across trials. These loci were distributed among three wheat genome groups: 2 in Group A, 10 in Group B, and 5 in Group D. Among these, eight loci overlapped with the reported stripe rust resistance genes or quantitative trait loci, while nine loci were novel and mainly distributed on chromosomes 2A, 6B, and 7D. This research enhances the understanding of genetic mechanisms underlying wheat stripe rust resistance and provides valuable germplasm resources for breeding new cultivars with enhanced disease resilience.

Puccinia striiformis f. sp. tritici↗
PubMed2025

Development of PCR-based markers for the identification of wheat HMW glutenin subunit alleles at the GLU-A1 and GLU-D1 loci.

The allelic variations of high-molecular-weight glutenin subunit locus in common wheat (Triticum aestivum L.) markedly influence grain end-use quality. GLU-A1, GLU-B1, and GLU-D1, which encode high-molecular-weight glutenin subunits, are located on the long arms of chromosomes 1A, 1B, and 1D, respectively. However, existing markers for distinguishing alleles at the GLU-A1 and GLU-D1 are limited with regard to both number and resolution. In the present study, we enhanced the utility of PCR-based allele detection by developing seven new agarose gel-based markers capable of differentiating four Glu-A1x, four Glu-D1x, and two Glu-D1y alleles. These new markers, in combination with previously published PCR markers, were used to successfully identify the Glu-A1 × 1, Glu-A1 x 2*, Glu-A1 x 2.1*, and Glu-A1x-null alleles and the Glu-D1 x 5, Glu-D1 x 2, Glu-D1 x 2.1, and Glu-D1 x 2.2 alleles across 25 wheat resources. Additionally, we developed a novel marker that enables us to distinguish between the Glu-D1y10 and Glu-D1y12 alleles more clearly than conventional markers. These improved PCR markers represent a reliable and efficient tool for detecting allelic variations at the GLU-A1 and GLU-D1 loci. They are expected to serve as valuable resources for marker-assisted selection and marker-assisted backcrossing aimed at improving the processing quality of wheat.

Triticum↗