Haynaldia villosa NAM-V1 is linked with the powdery mildew resistance gene Pm21 and contributes to increasing grain protein content in wheat

Zhao, Chuanzhi; Lv, Xindi; Li, Yinghui; Li, Feng; Geng, Miaomiao; Mi, Yangyang; Wang, Xingjun; Xie, Chaojie; Sun, Qixin

doi:10.1186/s12863-016-0391-4

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…Fageria and Baligar [51] also reported that high AE is obtained if the yield increment per unit nutrient applied is high because of reduced losses and increased uptake of nutrients. The results corroborate the findings of several authors [52][53][54][55][56][57]. The superiority of treatments in terms of AE for micronutrients (Zn, Fe) differed in comparison with macronutrients.…”

Section: Agronomic Efficiencysupporting

confidence: 91%

Integrated Nutrient Management Improves the Productivity and Nutrient Use Efficiency of Lens culinaris Medik.

et al. 2022

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Enhancing nutrient use efficiencies (NUEs) is an important factor in achieving the long-term sustainability of a production system. Our two-year experiment was aimed at accessing the NUEs of the integration of macro- and micronutrient fertilization responses of three lentil (Lens culinaris) cultivars. Three cultivars were planted in the main plots, and ten nutrient combinations were used in the sub-plots: N1, control; N2, 100% recommended dose of fertilizers (RDF) (20:40—N:P2O5); N3, vermicompost (VC) at 2 t ha−1; N4, 50% recommended dose of nitrogen (RDN) + 100% recommended dose of phosphorus (RDP) + VC at 1 t ha−1; N5, RDF + 0.5% ZnSO4; N6, RDF + 0.5% FeSO4; N7, RDF + 0.5% ZnSO4 + 0.5% FeSO4; N8, 50% RDN + 100% RDP + VC at 1 t ha−1 + 0.5% ZnSO4; N9, 50% RDN + 100% RDP + VC at 1 t ha−1 + 0.5% FeSO4; and N10, 50% RDN + 100% RDP + VC at 1 t ha−1 + 0.5% ZnSO4 + 0.5% FeSO4. The results show that the cultivar HM-1 (1.59–1.61 Mg ha−1) recorded a significantly higher seed yield than cultivars Sapna (1.31–1.33 Mg ha−1) and Garima (both 1.30 Mg ha−1), while the cultivar Sapna had significantly more stover yield (1.86–1.90 Mg ha−1) than cultivar HM-1 (1.68–1.73 Mg ha−1). Cultivar HM-1 was more efficient in terms of partial factor productivity for N (77.5–78.5 kg kg−1), P (48.2–48.7 kg kg−1), K (143.6–145.5 kg kg−1), Zn (1336–1352 kg kg−1), and Fe (417–421 kg kg−1) than Sapna and Garima. Application of 50% N + 100% P + VC at 1.0 t ha−1 + 0.5% ZnSO4 + 0.5% FeSO4 resulted in higher seed yield (1.63–1.65 Mg ha−1) and agronomic efficiency for N (26.3–28.8 kg kg−1), P (12.42–13.63 kg kg−1), and K (52.3–57.4 kg kg−1) over other tested practices in both years. Hence, it could be concluded that considering the integrated nutrient management paradigm including 10 kg N ha−1 coupled with 40 kg P2O5 ha−1 through synthetic fertilizers, vermicomposting 1.0 t ha−1 as an organic source and foliar spray of 0.5% each of ZnSO4 and FeSO4 (N10) produced a 56.8% higher seed yield than the control, in addition to improving nutrient dynamics and NUEs for N, P, K, Zn, and Fe. Therefore, integrated fertilization coupled with cultivar selection could help to achieve the long-term food and nutritional sustainability targeted by the Sustainable Development Goals (SDGs).

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Section: Agronomic Efficiencysupporting

confidence: 91%

Integrated Nutrient Management Improves the Productivity and Nutrient Use Efficiency of Lens culinaris Medik.

et al. 2022

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“…Previous studies have suggested that NAM-B1, B2, A1, D1, and D2 might be redundant [35], and we found high correlation (>0.9) between NAM gene expression profiles. The NAM genes start with low gene expression (<0.5 log2), increasing at around GS50.…”

Section: Gene Expression Profiles Vary Across Genes and Time Pointssupporting

confidence: 74%

Integrative Modelling of Gene Expression and Digital Phenotypes to Describe Senescence in Wheat

Rodriguez

2021

Genes

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Senescence is the final stage of leaf development and is critical for plants’ fitness as nutrient relocation from leaves to reproductive organs takes place. Although senescence is key in nutrient relocation and yield determination in cereal grain production, there is limited understanding of the genetic and molecular mechanisms that control it in major staple crops such as wheat. Senescence is a highly orchestrated continuum of interacting pathways throughout the lifecycle of a plant. Levels of gene expression, morphogenesis, and phenotypic development all play key roles. Yet, most studies focus on a short window immediately after anthesis. This approach clearly leaves out key components controlling the activation, development, and modulation of the senescence pathway before anthesis, as well as during the later developmental stages, during which grain development continues. Here, a computational multiscale modelling approach integrates multi-omics developmental data to attempt to simulate senescence at the molecular and plant level. To recreate the senescence process in wheat, core principles were borrowed from Arabidopsis Thaliana, a more widely researched plant model. The resulted model describes temporal gene regulatory networks and their effect on plant morphology leading to senescence. Digital phenotypes generated from images using a phenomics platform were used to capture the dynamics of plant development. This work provides the basis for the application of computational modelling to advance understanding of the complex biological trait senescence. This supports the development of a predictive framework enabling its prediction in changing or extreme environmental conditions, with a view to targeted selection for optimal lifecycle duration for improving resilience to climate change.

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“…In order to test the annotation quality of the 6VS, we used genes NLR-V [32], STPK-V [33] and NAM-V1 [9] cloned from 6VS to perform BLASTn search. We found sequences homologous at 99.93%, 100.00% and 99.93%, respectively, implying a high quality of H. villosa 6VS annotation.…”

Section: Gene Content Of Chromosome 6vsmentioning

confidence: 99%

Targeted sequencing of the short arm of chromosome 6V of a wheat relative Haynaldia villosa for marker development and gene mining

Xiao

Wan

et al. 2020

Preprint

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Background: Short arm of chromosome 6V (6VS) of Haynaldia villosa has been used in wheat breeding programs to introduce Pm21 resistance gene against powdery mildew and some other genes. Results: In this work, 6VS was isolated from a wheat ( Triticum aestivum ) - 6VS telosome addition line by flow cytometric sorting and sequenced by illumina technology. The assembly length was 230.39 Mb with contig N50 of 9,788 bp. The sequence annotation identified 3,276 high confidence genes supported by RNA sequencing data, representing about 2.3% of the chromosome arm sequence; repetitive elements accounted for 74.91% of the arm sequence. Sequences homologous to 6VS genes were identified on short arms of chromosomes 6A of T. urartu , 6D of Aegilops tauschii , 6A and 6B of T. dicoccoides , 6A, 6B and 6D of T. aestivum and 6H of Hordeum vulgare , revealing synteny relationships among these chromosome arms. Based on differences in intron size between the homologous genes on 6VS and 6AS/6BS/6DS of T. aestivum , 222 primer pairs were designed. Out of them, 120 amplified 6VS-specific products and are suitable as intron-target (IT) markers to trace the 6VS chromatin introduced into wheat. Conclusions: The results obtained and markers developed in this work will facilitate introduction of important genes to common wheat from its wild relative, while reducing the presence of unfavorable genes due to linkage drag.

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Haynaldia villosa NAM-V1 is linked with the powdery mildew resistance gene Pm21 and contributes to increasing grain protein content in wheat

Cited by 7 publications

References 29 publications

Integrated Nutrient Management Improves the Productivity and Nutrient Use Efficiency of Lens culinaris Medik.

Integrated Nutrient Management Improves the Productivity and Nutrient Use Efficiency of Lens culinaris Medik.

Integrative Modelling of Gene Expression and Digital Phenotypes to Describe Senescence in Wheat

Targeted sequencing of the short arm of chromosome 6V of a wheat relative Haynaldia villosa for marker development and gene mining

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