Mapping QTLs associated with grain yield and yield-related traits under aluminum stress in bread wheat

Farokhzadeh, Sara; Fakheri, Barat Ali; Nezhad, Nafiseh Mahdi; Tahmasebi, Sirous; Mirsoleimani, Abbas; Heidari, Bahram

doi:10.1071/cp19511

Cited by 11 publications

(4 citation statements)

References 87 publications

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“…In addition, these MQTLs included 16-79 initial QTLs derived from 11 to 35 interval mapping studies. For instance, MQTL1D.4 was based on 24 QTLs derived from 11 different interval mapping studies which included 8 major QTLs (> 15% PVE) derived from four mapping studies [90][91][92][93] ; MQTL2D.5 was based on 25 QTLs identified in 12 mapping studies which also included 6 major QTLs derived from 3 mapping studies 91,94,95 ; MQTL3A.1 was based on 70 QTLs derived from 35 mapping studies which included 12 major QTLs derived from 7 studies 90,91,96-100 , MQTL4A.2 was based on maximum of 79 QTLs derived 32 studies, although none of the QTLs had PVE ≥ 15%. Therefore, these are believed to be the most stable and consistent MAST-MQTLs across all genetic backgrounds Vol:.…”

Section: Discussionmentioning

confidence: 99%

Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding

Tanin

Saini

Sandhu

et al. 2022

Sci Rep

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In wheat, a meta-analysis was performed using previously identified QTLs associated with drought stress (DS), heat stress (HS), salinity stress (SS), water-logging stress (WS), pre-harvest sprouting (PHS), and aluminium stress (AS) which predicted a total of 134 meta-QTLs (MQTLs) that involved at least 28 consistent and stable MQTLs conferring tolerance to five or all six abiotic stresses under study. Seventy-six MQTLs out of the 132 physically anchored MQTLs were also verified with genome-wide association studies. Around 43% of MQTLs had genetic and physical confidence intervals of less than 1 cM and 5 Mb, respectively. Consequently, 539 genes were identified in some selected MQTLs providing tolerance to 5 or all 6 abiotic stresses. Comparative analysis of genes underlying MQTLs with four RNA-seq based transcriptomic datasets unravelled a total of 189 differentially expressed genes which also included at least 11 most promising candidate genes common among different datasets. The promoter analysis showed that the promoters of these genes include many stress responsiveness cis-regulatory elements, such as ARE, MBS, TC-rich repeats, As-1 element, STRE, LTR, WRE3, and WUN-motif among others. Further, some MQTLs also overlapped with as many as 34 known abiotic stress tolerance genes. In addition, numerous ortho-MQTLs among the wheat, maize, and rice genomes were discovered. These findings could help with fine mapping and gene cloning, as well as marker-assisted breeding for multiple abiotic stress tolerances in wheat.

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Section: Discussionmentioning

confidence: 99%

Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding

Tanin

Saini

Sandhu

et al. 2022

Sci Rep

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“…The greatest effect was achieved in Variants 2 and 3, which contributed to a decrease in the aluminum content in the red fescue from 2.1 g/kg to 1.7 g/kg and 0.99 g/kg, respectively, and sodium from 10.6 g/kg to 5.0 g/kg and 4.5 g/kg, respectively. The absorption and accumulation of aluminum, mainly in the roots of plants grown in soil contaminated with aluminum, have been reported in a number of previous works [ 60 , 62 , 77 ].…”

Section: Resultsmentioning

confidence: 90%

“…It is possible that this is the determining factor, as the problem of aluminum toxicity has been studied for decades [ 56 , 57 , 58 , 59 ]. Aluminum phytotoxicity has been reported for plants of various species, and affects the morphological and physiological parameters of plants [ 60 , 61 , 62 , 63 ]. Aluminum can disrupt plant metabolism by binding to macromolecules in plant tissues, inhibit photosynthetic processes and DNA synthesis, and prevent the absorption of water and nutrients [ 64 , 65 , 66 ].…”

Section: Resultsmentioning

confidence: 99%

Influence of Reagents on Qualitative Indicators of Artificial Anti-Deflationary Phytocenosis on Waste from a Rare Earth Tailing Facility

Krasavtseva

Maksimova

Макаров

2023

Toxics

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This paper presents an assessment of the effect of various reagents on the qualitative indicators of anti-deflationary single-species sowing phytocenosis on enrichment waste from rare earth ores. It has been established that tailings of loparite ores are not suitable for biological reclamation due to low values of hygroscopic moisture (0.54–2.85%) and clay particles (17.6 ± 0.6%) and high content of bioavailable forms of aluminum (504 ± 14 mg/kg). Seeds of red fescue (Festuca rubra L.) were grown on the tailings of loparite ore enrichment with the addition of opoka (O), brucite (B), and vermiculite (V). The quality of the seed cenosis was assessed by the dry biomass of the above-ground parts of the plants and the plant height. A positive effect (one-way ANOVA followed by Tukey’s HSD test (p < 0.05 and p < 0.01)) of the considered combinations of reagents on the growth of above-ground biomass from 31.5% (V) to 70.3 (V + O), 82.4% (V + B), and 81.8% (V + O+B) and on plant height from 53.8% (V) up to 78.6 (V + O), 83.8% (V + B), and 75.4% (V + O+B) was revealed. The use of a combination of V + O and V + B reagents made it possible to significantly reduce the content of Al (by 19.0% and 52.8%), Sr (by 16.5% and 12.9%), La (by 65.2% and 40.6%), and Ce (by 66.8% and 41.9%) in the aerial part of the sowing phytocenosis compared to control. The results obtained here can become the basis for development of a combined sorption technology for the reclamation of technogenically disturbed lands.

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“…QTL mapping in bread wheat for Al stress response revealed 79 QTLs, out of which 22 were putative, showing a range of phenotypic variance from 4.38 to 12.24%. Identified stable QTLs related to days to heading and grain yield were co-located with those of Al concentration with zero × additive environment interaction ( Farokhzadeh et al, 2020b ). Two bi-parental populations were used for QTL identification against Al toxicity in rice accessions.…”

Section: Seven-(omics)-based Approaches To Improve Toxic Metals/metalloids Tolerance In Plantsmentioning

confidence: 99%

Advances in “Omics” Approaches for Improving Toxic Metals/Metalloids Tolerance in Plants

et al. 2022

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Food safety has emerged as a high-urgency matter for sustainable agricultural production. Toxic metal contamination of soil and water significantly affects agricultural productivity, which is further aggravated by extreme anthropogenic activities and modern agricultural practices, leaving food safety and human health at risk. In addition to reducing crop production, increased metals/metalloids toxicity also disturbs plants’ demand and supply equilibrium. Counterbalancing toxic metals/metalloids toxicity demands a better understanding of the complex mechanisms at physiological, biochemical, molecular, cellular, and plant level that may result in increased crop productivity. Consequently, plants have established different internal defense mechanisms to cope with the adverse effects of toxic metals/metalloids. Nevertheless, these internal defense mechanisms are not adequate to overwhelm the metals/metalloids toxicity. Plants produce several secondary messengers to trigger cell signaling, activating the numerous transcriptional responses correlated with plant defense. Therefore, the recent advances in omics approaches such as genomics, transcriptomics, proteomics, metabolomics, ionomics, miRNAomics, and phenomics have enabled the characterization of molecular regulators associated with toxic metal tolerance, which can be deployed for developing toxic metal tolerant plants. This review highlights various response strategies adopted by plants to tolerate toxic metals/metalloids toxicity, including physiological, biochemical, and molecular responses. A seven-(omics)-based design is summarized with scientific clues to reveal the stress-responsive genes, proteins, metabolites, miRNAs, trace elements, stress-inducible phenotypes, and metabolic pathways that could potentially help plants to cope up with metals/metalloids toxicity in the face of fluctuating environmental conditions. Finally, some bottlenecks and future directions have also been highlighted, which could enable sustainable agricultural production.

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Mapping QTLs associated with grain yield and yield-related traits under aluminum stress in bread wheat

Cited by 11 publications

References 87 publications

Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding

Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding

Influence of Reagents on Qualitative Indicators of Artificial Anti-Deflationary Phytocenosis on Waste from a Rare Earth Tailing Facility

Advances in “Omics” Approaches for Improving Toxic Metals/Metalloids Tolerance in Plants

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