scholarly journals Identification of Novel Genomic Regions for Biofortification Traits Using an SNP Marker-Enriched Linkage Map in Wheat (Triticum aestivum L.)

2021 ◽  
Vol 8 ◽  
Author(s):  
Gopalareddy Krishnappa ◽  
Nagenahalli Dharmegowda Rathan ◽  
Deepmala Sehgal ◽  
Arvind Kumar Ahlawat ◽  
Santosh Kumar Singh ◽  
...  
Keyword(s):  
Recombinant Inbred Lines ◽  
Aegilops Tauschii ◽  
Iron Concentration ◽  
Wheat Variety ◽  
Triticum Aestivum L ◽  
Grain Protein Content ◽  
Kernel Weight ◽  
Snp Markers ◽  
Wheat Varieties ◽  
Genomic Regions

Micronutrient and protein malnutrition is recognized among the major global health issues. Genetic biofortification is a cost-effective and sustainable strategy to tackle malnutrition. Genomic regions governing grain iron concentration (GFeC), grain zinc concentration (GZnC), grain protein content (GPC), and thousand kernel weight (TKW) were investigated in a set of 163 recombinant inbred lines (RILs) derived from a cross between cultivated wheat variety WH542 and a synthetic derivative (Triticum dicoccon PI94624/Aegilops tauschii [409]//BCN). The RIL population was genotyped using 100 simple-sequence repeat (SSR) and 736 single nucleotide polymorphism (SNP) markers and phenotyped in six environments. The constructed genetic map had a total genetic length of 7,057 cM. A total of 21 novel quantitative trait loci (QTL) were identified in 13 chromosomes representing all three genomes of wheat. The trait-wise highest number of QTL was identified for GPC (10 QTL), followed by GZnC (six QTL), GFeC (three QTL), and TKW (two QTL). Four novel stable QTL (QGFe.iari-7D.1, QGFe.iari-7D.2, QGPC.iari-7D.2, and QTkw.iari-7D) were identified in two or more environments. Two novel pleiotropic genomic regions falling between Xgwm350–AX-94958668 and Xwmc550–Xgwm350 in chromosome 7D harboring co-localized QTL governing two or more traits were also identified. The identified novel QTL, particularly stable and co-localized QTL, will be validated to estimate their effects on different genetic backgrounds for subsequent use in marker-assisted selection (MAS). Best QTL combinations were identified by the estimation of additive effects of the stable QTL for GFeC, GZnC, and GPC. A total of 11 RILs (eight for GZnC and three for GPC) having favorable QTL combinations identified in this study can be used as potential donors to develop bread wheat varieties with enhanced micronutrients and protein.

scholarly journals Whole-Genome Association Mapping and Genomic Prediction for Iron Concentration in Wheat Grains

2018 ◽  
Vol 20 (1) ◽  
pp. 76 ◽  
Author(s):  
Dalia Alomari ◽  
Kai Eggert ◽  
Nicolaus von Wirén ◽  
Andreas Polley ◽  
Jörg Plieske ◽  
...  
Keyword(s):  
Genomic Prediction ◽  
Field Experiments ◽  
Association Studies ◽  
Iron Concentration ◽  
Significant Snps ◽  
Triticum Aestivum L ◽  
Snp Markers ◽  
Genome Wide Association Studies ◽  
Wheat Varieties ◽  
Nac Transcription Factors

Malnutrition of iron (Fe) affects two billion people worldwide. Therefore, enhancing grain Fe concentration (GFeC) in wheat (Triticum aestivum L.) is an important goal for breeding. Here we study the genetic factors underlying GFeC trait by genome-wide association studies (GWAS) and the prediction abilities using genomic prediction (GP) in a panel of 369 European elite wheat varieties which was genotyped with 15,523 mapped single-nucleotide polymorphism markers (SNP) and a subpanel of 183 genotypes with 44,233 SNP markers. The resulting means of GFeC from three field experiments ranged from 24.42 to 52.42 μg·g−1 with a broad-sense heritability (H2) equaling 0.59 over the years. GWAS revealed 41 and 137 significant SNPs in the whole and subpanel, respectively, including significant marker-trait associations (MTAs) for best linear unbiased estimates (BLUEs) of GFeC on chromosomes 2A, 3B and 5A. Putative candidate genes such as NAC transcription factors and transmembrane proteins were present on chromosome 2A (763,689,738–765,710,113 bp). The GP for a GFeC trait ranged from low to moderate values. The current study reported GWAS of GFeC for the first time in hexaploid wheat varieties. These findings confirm the utility of GWAS and GP to explore the genetic architecture of GFeC for breeding programs aiming at the improvement of wheat grain quality.

Identification of Two New Loci for Adult Plant Resistance to Leaf Rust and Stripe Rust in the Chinese Wheat Variety ‘Neimai 836’

Plant Disease ◽  
2021 ◽  
Author(s):  
Jingwei Zhou ◽  
Ravi P. Singh ◽  
Yong Ren ◽  
Bin Bai ◽  
Zhikang Li ◽  
...  
Keyword(s):  
Leaf Rust ◽  
Stripe Rust ◽  
Puccinia Striiformis ◽  
Recombinant Inbred Lines ◽  
Wheat Variety ◽  
Snp Array ◽  
Snp Markers ◽  
Resistant Variety ◽  
Adult Plant ◽  
Wheat Varieties

The characterization of leaf rust (caused by Puccinia triticina) and stripe rust (caused by Puccinia striiformis f. sp. tritici) resistance genes is the basis for breeding resistant wheat varieties and managing epidemics of these diseases in wheat. A cross between the susceptible wheat variety ‘Apav#1’ and resistant variety ‘Neimai 836’ was used to develop a mapping population containing 148 F5 recombinant inbred lines (RILs). Leaf rust phenotyping was done in field trials at Ciudad Obregón, Mexico in 2017 and 2018, and stripe rust data were generated at Toluca, Mexico in 2017 and in Mianyang, Ezhou, and Gansu, China in 2019. Inclusive complete interval mapping (ICIM) was used to create a genetic map and identify significant resistance quantitative trait loci (QTL) with 2,350 polymorphic markers from a 15K wheat single-nucleotide polymorphism (SNP) array and simple-sequence repeats (SSRs). The pleiotropic multi-pathogen resistance gene Lr46/Yr29 and four QTL were identified, including two new loci, QLr.hzau-3BL and QYr.hzau-5AL, which explained 3-16% of the phenotypic variation in resistance to leaf rust and 7-14% of that to stripe rust. The flanking SNP markers for the two loci were converted to Kompetitive Allele-Specific PCR (KASP) markers and used to genotype a collection of 153 wheat lines, indicating the Chinese origin of the loci. Our results suggest that Neimai 836, which has been used as a parent for many wheat varieties in China, could be a useful source of high level resistance to both leaf rust and stripe rust.

scholarly journals Identification of Genetic Loci and Candidate Genes Related to Grain Zinc and Iron Concentration Using a Zinc-Enriched Wheat ‘Zinc-Shakti’

2021 ◽  
Vol 12 ◽  
Author(s):  
Nagenahalli Dharmegowda Rathan ◽  
Deepmala Sehgal ◽  
Karthikeyan Thiyagarajan ◽  
Ravi Singh ◽  
Anju-Mahendru Singh ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Agronomic Traits ◽  
Recombinant Inbred Lines ◽  
Iron Concentration ◽  
Small Peptides ◽  
Growing Seasons ◽  
Grain Zinc ◽  
Pleiotropic Qtl ◽  
Genomic Regions ◽  
Yield Trials

The development of nutritionally enhanced wheat (Triticum aestivum L.) with higher levels of grain iron (Fe) and zinc (Zn) offers a sustainable solution to micronutrient deficiency among resource-poor wheat consumers. One hundred and ninety recombinant inbred lines (RILs) from ‘Kachu’ × ‘Zinc-Shakti’ cross were phenotyped for grain Fe and Zn concentrations and phenological and agronomically important traits at Ciudad Obregon, Mexico in the 2017–2018, 2018–2019, and 2019–2020 growing seasons and Diversity Arrays Technology (DArT) molecular marker data were used to determine genomic regions controlling grain micronutrients and agronomic traits. We identified seven new pleiotropic quantitative trait loci (QTL) for grain Zn and Fe on chromosomes 1B, 1D, 2B, 6A, and 7D. The stable pleiotropic QTL identified have expanded the diversity of QTL that could be used in breeding for wheat biofortification. Nine RILs with the best combination of pleiotropic QTL for Zn and Fe have been identified to be used in future crossing programs and to be screened in elite yield trials before releasing as biofortified varieties. In silico analysis revealed several candidate genes underlying QTL, including those belonging to the families of the transporters and kinases known to transport small peptides and minerals (thus assisting mineral uptake) and catalyzing phosphorylation processes, respectively.

scholarly journals Genetic dissection of yield-related traits and mid-parent heterosis for those traits in maize (Zea mays L.)

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Qiang Yi ◽  
Yinghong Liu ◽  
Xianbin Hou ◽  
Xiangge Zhang ◽  
Hui Li ◽  
...  
Keyword(s):  
Genetic Basis ◽  
Recombinant Inbred Lines ◽  
Kernel Weight ◽  
Genetic Dissection ◽  
Hybrid Mapping ◽  
Maize Breeding ◽  
Phenotypic Variations ◽  
Selection For ◽  
Genomic Regions ◽  
Mapping Populations

Abstract Background Utilization of heterosis in maize could be critical in maize breeding for boosting grain yield. However, the genetic architecture of heterosis is not fully understood. To dissect the genetic basis of yield-related traits and heterosis in maize, 301 recombinant inbred lines derived from 08 to 641 × YE478 and 298 hybrids from the immortalized F2 (IF2) population were used to map quantitative trait loci (QTLs) for nine yield-related traits and mid-parent heterosis. Results We observed 156 QTLs, 28 pairs of loci with epistatic interaction, and 10 significant QTL × environment interactions in the inbred and hybrid mapping populations. The high heterosis in F1 and IF2 populations for kernel weight per ear (KWPE), ear weight per ear (EWPE), and kernel number per row (KNPR) matched the high percentages of QTLs (over 50%) for those traits exhibiting overdominance, whereas a notable predominance of loci with dominance effects (more than 70%) was observed for traits that show low heterosis such as cob weight per ear (CWPE), rate of kernel production (RKP), ear length (EL), ear diameter (ED), cob diameter, and row number (RN). The environmentally stable QTL qRKP3–2 was identified across two mapping populations, while qKWPE9, affecting the trait mean and the mid-parent heterosis (MPH) level, explained over 18% of phenotypic variations. Nine QTLs, qEWPE9–1, qEWPE10–1, qCWPE6, qEL8, qED2–2, qRN10–1, qKWPE9, qKWPE10–1, and qRKP4–3, accounted for over 10% of phenotypic variation. In addition, QTL mapping identified 95 QTLs that were gathered together and integrated into 33 QTL clusters on 10 chromosomes. Conclusions The results revealed that (1) the inheritance of yield-related traits and MPH in the heterotic pattern improved Reid (PA) × Tem-tropic I (PB) is trait-dependent; (2) a large proportion of loci showed dominance effects, whereas overdominance also contributed to MPH for KNPR, EWPE, and KWPE; (3) marker-assisted selection for markers at genomic regions 1.09–1.11, 2.04, 3.08–3.09, and 10.04–10.05 contributed to hybrid performance per se and heterosis and were repeatedly reported in previous studies using different heterotic patterns is recommended.

Chromosome location of genes controlling aluminum tolerance in wheat, rye, and triticale

1984 ◽  
Vol 26 (6) ◽  
pp. 701-705 ◽  
Author(s):  
A. Aniol ◽  
J. P. Gustafson
Keyword(s):  
Chinese Spring ◽  
Wheat Variety ◽  
Aluminum Tolerance ◽  
Triticum Aestivum L ◽  
Additive Effects ◽  
Chromosome Location ◽  
Irreversible Damage ◽  
Wheat Varieties ◽  
Chinese Spring Wheat ◽  
Secale Cereale L

'Chinese Spring' wheat nullisomic–tetrasomic and ditelosomic lines were used for the identification of Aluminum-tolerance genes in wheat (Triticum aestivum L. em Thell.). Rye additions and substitutions in different wheat varieties were used for the identification of aluminum-tolerance genes in rye (Secale cereale L.). The point where concentrations of aluminum caused irreversible damage to the root apical meristems on exposure for 24 h at 25 °C was the measure of aluminum tolerance. Genes for aluminum tolerance in the medium-tolerant wheat variety 'Chinese Spring' were found to be localized in chromosome arms 6AL, 7AS, 2DL, 3DL, 4DL, and 4BL, and on chromosome 7D. Major genes for tolerance in rye seem to be located on 3R and 6RS, with other genes on 4R. The expression of aluminum-tolerance genes located on rye chromosomes incorporated into sensitive wheat was often suppressed by the action of unknown genes in the wheat background.Key words: Triticum, Secale, aluminum tolerance, additive effects, polygenes.

scholarly journals Introgression of drought tolerance QTLs through marker assisted backcross breeding in wheat (Triticum aestivum L.)

2020 ◽  
Vol 80 (02) ◽  
Author(s):  
Leena Todkar ◽  
Harikrishna . ◽  
G. P. Singh ◽  
Neelu Jain ◽  
P. K. Singh ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Agronomic Traits ◽  
Wheat Variety ◽  
Triticum Aestivum L ◽  
Recurrent Parent ◽  
Background Selection ◽  
Drought Tolerant ◽  
Backcross Breeding ◽  
Genomic Regions ◽  
Marker Assisted Backcross Breeding

The present study reports the introgression of the genomic regions linked with drought tolerance traits viz., NDVI, staygreen, chlorophyll content/chlorophyll fluorescence and yield from a drought tolerant parent HI1500 in to a popular high yielding but drought susceptible wheat variety GW322 following the marker assisted backcross breeding. Background selection with 109 polymorphic SSR markers accelerated genome recovery of recurrent parent which ranged from 72.14 to 86.9% in BC1F1, 90.33 to 92.02% in BC2F1 and 91.6 to 94.95% with an average of 93.5% in BC2F2 generation. Eighteen homozygous BC2F3 progenies were found to be phenotypically superior for morpho-physiological and agronomic traits over the recurrent parent GW322.

scholarly journals Construction of Consensus Genetic Map With Applications in Gene Mapping of Wheat (Triticum aestivum L.) Using 90K SNP Array

2021 ◽  
Vol 12 ◽  
Author(s):  
Pingping Qu ◽  
Jiankang Wang ◽  
Weie Wen ◽  
Fengmei Gao ◽  
Jindong Liu ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Genetic Information ◽  
Physical Map ◽  
Recombinant Inbred Lines ◽  
Snp Array ◽  
Triticum Aestivum L ◽  
Kernel Weight ◽  
Consensus Map ◽  
Phenotypic Data ◽  
Putative Gene

Wheat is one of the most important cereal crops worldwide. A consensus map combines genetic information from multiple populations, providing an effective alternative to improve the genome coverage and marker density. In this study, we constructed a consensus map from three populations of recombinant inbred lines (RILs) of wheat using a 90K single nucleotide polymorphism (SNP) array. Phenotypic data on plant height (PH), spike length (SL), and thousand-kernel weight (TKW) was collected in six, four, and four environments in the three populations, and then used for quantitative trait locus (QTL) mapping. The mapping results obtained using the constructed consensus map were compared with previous results obtained using individual maps and previous studies on other populations. A simulation experiment was also conducted to assess the performance of QTL mapping with the consensus map. The constructed consensus map from the three populations spanned 4558.55 cM in length, with 25,667 SNPs, having high collinearity with physical map and individual maps. Based on the consensus map, 21, 27, and 19 stable QTLs were identified for PH, SL, and TKW, much more than those detected with individual maps. Four PH QTLs and six SL QTLs were likely to be novel. A putative gene called TraesCS4D02G076400 encoding gibberellin-regulated protein was identified to be the candidate gene for one major PH QTL located on 4DS, which may enrich genetic resources in wheat semi-dwarfing breeding. The simulation results indicated that the length of the confidence interval and standard errors of the QTLs detected using the consensus map were much smaller than those detected using individual maps. The consensus map constructed in this study provides the underlying genetic information for systematic mapping, comparison, and clustering of QTL, and gene discovery in wheat genetic study. The QTLs detected in this study had stable effects across environments and can be used to improve the wide adaptation of wheat cultivars through marker-assisted breeding.

scholarly journals COMPARISON OF PHOTOSYNTHETIC PARAMETERS IN DIFFERENT WHEAT (TRITICUM AESTIVUM L.) VARIETIES

2018 ◽  
Author(s):  
Ilona VAGUSEVICIENĖ ◽  
Sonata KAZLAUSKAITĖ ◽  
Aiste JUCHNEVICIENĖ ◽  
Asta BYLAITE ◽  
Audrone ŽEBRAUSKIENĖ
Keyword(s):  
Triticum Aestivum ◽  
Winter Wheat ◽  
Chlorophyll A ◽  
Physiological Activity ◽  
Wheat Variety ◽  
Triticum Aestivum L ◽  
Maturity Stage ◽  
Photosynthetic Parameters ◽  
Wheat Varieties ◽  
Alcohol Extract

Dynamics of photosynthesis pigments in the leaves of different varieties of winter wheat during the vegetation period is analyzed in the paper. The accumulation of pigments in the plant depends on the physiological activity, growth and development of the plant, therefore the composition and content of photosynthesis pigments chlorophyll a, b and carotenoids reflect the general condition of the plant. The ratio of chlorophyll a / b for normal photosynthesis activity in the leaves of the plant should be at least 1:3. The object of the research is different varieties of winter wheat (Triticum aestivum L.) - 'Artist', 'Edvin', 'Skagen', 'Bertold' and 'Viola'. Field experiment was carried out at the Experimental Station of Aleksandras Stulginskis University in 2015-2016. Soil type was identified as IDg8 - k (LVg - p - w - cc) - shallow calcareous luvisol (Calc (ar) i - Epihypogleyic Luvisols). Agrochemical parameters of the soil were determined using accepted analytical methods. The content of photosynthesis pigments (chlorophyll a, b and carotenoids) in green leaf mass was determined in 96% ethyl alcohol extract applying spectrophotometric Wettstein method, “Genesys” 6 spectrophotometer. The photosynthesis productivity (Fpr) was calculated according to the formula: Fpr = 2 (M2-M1) / (L1 + L2) T. The accuracy of the data analysis was estimated according to the standard measurement deviation from the mean. The highest content of photosynthesis pigments has been accumulated by winter wheat variety 'Skagen'. The best result has been observed at the end of nodding stage. A lower content of photosynthesis pigments has been found in the leaves of 'Edvin', 'Viola' and 'Artist' varieties. The highest photosynthesis productivity of all winter wheat varieties has been recorded at the end of nodding stage, and decrease of photosynthesis productivity has been observed since milk maturity stage.

Application of Aegilops tauschii–Triticum aestivum recombinant inbred lines for grain protein content quantitative trait loci detection and wheat improvement

2020 ◽  
Vol 100 (4) ◽  
pp. 425-434
Author(s):  
Yarui Su ◽  
Pingan Liao ◽  
Danyang Song ◽  
Shiquan Huang ◽  
Jie He ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Quantitative Trait Loci ◽  
Protein Content ◽  
Quantitative Trait ◽  
Recombinant Inbred ◽  
Recombinant Inbred Lines ◽  
Aegilops Tauschii ◽  
Grain Protein Content ◽  
Inbred Lines ◽  
Quality Traits

Grain protein content (GPC) is an important nutritional quality trait of wheat. Aegilops tauschii Coss. is a progenitor of common wheat and has been shown to have high GPC. The objective of this study was to identify quantitative trait loci (QTL) for GPC using A. tauschii–Triticum aestivum L. recombinant lines. An advanced BC2F6 population (112 lines) containing A. tauschii segments was developed using synthetic octaploid wheat (hexaploid wheat Zhoumai 18 × A. tauschii T093), which displayed significant phenotype variances. Two quality traits, GPC and wet gluten, and four yield-related traits, thousand kernel weight, spikelet number per plant, grain number per spike, and grain weight per spike, were evaluated. The results show that the mean GPCs of these lines were significantly higher than those of Zhoumai 18. Correlation and mapping analyses indicated that quality traits were weakly negatively correlated with yield traits. Furthermore, 16 A. tauschii-derived QTL for GPC were detected in the recombinant inbred lines, and four stable QTL that have no significant negative effects on yield and are located within the same marker interval were detected in both environments. Additionally, high-protein, high-yield lines 150228 and 150368 with stable QTL were obtained, and both can be directly utilised for fine mapping of the GPC genes and molecular marker–assisted selection to achieve synergistic improvement of wheat yield and protein content.

scholarly journals AAC LeRoy Canada Western Red Spring wheat

2019 ◽  
Vol 99 (6) ◽  
pp. 997-1005
Author(s):  
S. Kumar ◽  
S.L. Fox ◽  
J. Mitchell Fetch ◽  
D. Green ◽  
T. Fetch ◽  
...  
Keyword(s):  
Puccinia Striiformis ◽  
Wheat Variety ◽  
Puccinia Triticina ◽  
Grain Protein Content ◽  
Kernel Weight ◽  
Head Blight ◽  
Stem Strength ◽  
Resistant Reaction ◽  
The Mean ◽  
Growing Conditions

AAC LeRoy (BW1049) is a hollow stemmed, awned, high-yielding Canada Western Red Spring (CWRS) wheat suited to the growing conditions in western Canada. AAC LeRoy was 10% higher yielding than Unity, the highest yielding check in the Central Bread Wheat Cooperative registration trials (2015–2017). Within the same test, AAC LeRoy was 13% higher yielding than Carberry, a popular CWRS wheat variety across the Canadian Prairies. AAC LeRoy matured 2 d earlier than Carberry and 1 d later than Unity, the earliest maturing check suited for eastern prairie growing conditions. AAC LeRoy was 6 cm shorter with better stem strength than Unity. The lodging score for AAC LeRoy was lower than the mean of the checks. The test weight of AAC LeRoy was similar to the mean of the checks. Over the 3 yr of testing (2015–2017), the 1000-kernel weight of AAC LeRoy was higher than all of the checks, with a grain protein content 0.6% units lower than Carberry. AAC LeRoy was rated as moderately resistant to Fusarium head blight (Fusarium graminearum Schwabe), leaf rust (Puccinia triticina Erikss.), stripe rust (Puccinia striiformis Westend.), and stem rust (Puccinia graminis Pers. f. sp. tritici Erikss. & E. Henn), including the Ug99 family of stem rusts. It also had a resistant reaction to loose smut [Ustilago tritici (Pers.) Rostr.] and an intermediately resistant reaction to common bunt [Tilletia caries (DC.) Tul. & C. Tul.]. AAC LeRoy was resistant to orange wheat blossom midge (Sitodiplosis mosellana Géhin). AAC LeRoy was registered under the CWRS market class.

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