Genetic dissection of spike-related traits in wheat (Triticum aestivum L.) under aluminum stress

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

doi:10.1007/s10722-020-00907-6

Cited by 12 publications

(6 citation statements)

References 71 publications

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“…A total of 40 QTLs for Al stress tolerance were mapped on the A genome in wheat using composite interval mapping (CIM) and mixed composite interval mapping (MCIM) algorithms, which showed significant QTL × environment interactions ( Farokhzadeh et al, 2020c ). Another study in wheat revealed 58 QTLs associated with Al stress tolerance affecting spikelet-related traits ( Farokhzadeh et al, 2020a ). A further list of QTLs mapped for toxic metals/metalloids tolerance in different plant species is provided in Table 1 .…”

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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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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“…Thus, studies on FSN and GNFS have preliminary focused on quantitative trait loci (QTL) mapping. To date, numerous QTL for FSN and GNFS have been found on almost all wheat chromosomes using different genetic or natural populations (Li et al 2007;Cui et al 2012;Yu et al 2014;Gao et al 2015;Luo et al 2016;Cui et al 2017;Deng et al 2017;Wang et al 2018;Koppolu and Schnurbusch 2019;Ma et al 2019;Farokhzadeh et al 2020;Li et al 2021;Mo et al 2021;Ding et al 2022;Zhang et al 2022). However, few major QTL have been detected and verified in different genetic backgrounds and multiple environments, which limits the elucidation and further utilization of them.…”

Section: Introductionmentioning

confidence: 99%

Identification and validation of quantitative trait loci for fertile spikelet number per spike and grain number per fertile spikelet in bread wheat (Triticum aestivum L.)

Jiang

Fan

et al. 2023

Theor Appl Genet

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“…Quantitative trait locus (QTL) mapping is an effective method to identify aluminum tolerance genes (Bian et al 2013). Many quantitative trait loci (QTLs) associated with Al 3+ toxicity have been detected in a variety of crops, including wheat (Farokhzadeh et al 2020), soybean (Li et al 2021) and rice (Jahan et al 2021). Consequently, QTL mapping generates a number of candidate genes due to the small population used and the low density of the genetic map (Mackay et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Combining transcriptomics and metabolomics to identify key response genes for aluminum toxicity in the root system of Brassica napus L. seedlings

Shi

et al. 2023

Preprint

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Aluminum (Al) toxicity has become one of the important abiotic stress factorsin areas with acid soil, which hinders the absorption of water and nutrients by roots, and consequently retards the growth of crops. A deeper understanding of the stress response mechanism of Brassica napus may allow us to identify the tolerance gene(s) and use this information in breeding resistant crop varieties. In this study, a population of 138 recombinant inbred lines (RILs) was subjected to aluminum stress, and QTL (quantitative trait locus) mapping was used to preliminarily locate quantitative trait loci related to aluminum stress. Root tissues from seedlings of aluminum-resistant (R) lines and aluminum-sensitive (S) lines from the RIL population were harvested for transcriptome sequencing and metabolome determination. By combining the data on quantitative trait genes (QTGs), differentially expressed genes (DEGs), and differentially accumulated metabolites (DAMs), key candidate genes related to aluminum tolerance in rapeseed were determined. The results showed that there were 3186 QTGs in the RIL population, 14,232 DEGs and 457 DAMs in the comparison between R and S lines. Lastly, 138 hub genes were selected to have a strong positive or negative correlation with 30 important metabolites (|R|≥0.95). These genes were mainly involved in the metabolism of lipids, carbohydrates, and secondary metabolites in response to Al toxicity stress. In summary, this study provides an effective method for screening key genes by combining QTLs, transcriptome sequencing, and metabolomic analysis, but also lists key genes for exploring the molecular mechanism of Al tolerance in rapeseed seedling roots.

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Genetic dissection of spike-related traits in wheat (Triticum aestivum L.) under aluminum stress

Cited by 12 publications

References 71 publications

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

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

Identification and validation of quantitative trait loci for fertile spikelet number per spike and grain number per fertile spikelet in bread wheat (Triticum aestivum L.)

Combining transcriptomics and metabolomics to identify key response genes for aluminum toxicity in the root system of Brassica napus L. seedlings

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