Ionomic Analysis of Spring Wheat Grain Produced in Kazakhstan and Russia

Абугалиева, А. И.; Flis, Paulina; Шаманин, Владимир; Savin, T. V.; Morgounov, Alexey

doi:10.1080/00103624.2020.1865398

Cited by 9 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The accessions pools from these countries have large fractions of high protein entries ( Figure 3 ). The obtained outcome is in line with the grain quality reports for the wheat germplasm from these countries [ 18 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ]. In addition, we assume that the accessions grouped, to some extent, according to their genealogy.…”

Section: Discussionsupporting

confidence: 83%

Nutritional Genomic Approach for Improving Grain Protein Content in Wheat

Kartseva

Alqudah

Александров

et al. 2023

Foods

View full text Add to dashboard Cite

Grain protein content (GPC) is a key aspect of grain quality, a major determinant of the flour functional properties and grain nutritional value of bread wheat. Exploiting diverse germplasms to identify genes for improving crop performance and grain nutritional quality is needed to enhance food security. Here, we evaluated GPC in a panel of 255 Triticum aestivum L. accessions from 27 countries. GPC determined in seeds from three consecutive crop seasons varied from 8.6 to 16.4% (11.3% on average). Significant natural phenotypic variation in GPC among genotypes and seasons was detected. The population was evaluated for the presence of the trait-linked single nucleotide polymorphism (SNP) markers via a genome-wide association study (GWAS). GWAS analysis conducted with calculated best linear unbiased estimates (BLUEs) of phenotypic data and 90 K SNP array using the fixed and random model circulating probability unification (FarmCPU) model identified seven significant genomic regions harboring GPC-associated markers on chromosomes 1D, 3A, 3B, 3D, 4B and 5A, of which those on 3A and 3B shared associated SNPs with at least one crop season. The verified SNP–GPC associations provide new promising genomic signals on 3A (SNPs: Excalibur_c13709_2568 and wsnp_Ku_c7811_13387117) and 3B (SNP: BS00062734_51) underlying protein improvement in wheat. Based on the linkage disequilibrium for significant SNPs, the most relevant candidate genes within a 4 Mbp-window included genes encoding a subtilisin-like serine protease; amino acid transporters; transcription factors; proteins with post-translational regulatory functions; metabolic proteins involved in the starch, cellulose and fatty acid biosynthesis; protective and structural proteins, and proteins associated with metal ions transport or homeostasis. The availability of molecular markers within or adjacent to the sequences of the detected candidate genes might assist a breeding strategy based on functional markers to improve genetic gains for GPC and nutritional quality in wheat.

show abstract

Section: Discussionsupporting

confidence: 83%

Nutritional Genomic Approach for Improving Grain Protein Content in Wheat

Kartseva

Alqudah

Александров

et al. 2023

Foods

View full text Add to dashboard Cite

show abstract

“…Two wheat-grain ionome studies recently conducted in Russia and Kazakhstan by our research group provided important information on the element composition of wheat grain and laid the foundation for the development of targeted programs to optimize the concentration of macro-and microelements, and trace metals. Abugalieva et al [25] evaluated the concentrations of macroelements, toxic heavy metals, and microelements in 179 wheat grain samples collected in 2017 and 2018 from production fields across northern Kazakhstan and the Omsk region of Russia. The concentrations of essential microelements were similar to wheat grain produced in other countries, with exception of Zn.…”

Section: Discussionmentioning

confidence: 99%

Variation of Macro- and Microelements, and Trace Metals in Spring Wheat Genetic Resources in Siberia

Shepelev

Morgounov²,

Flis

et al. 2022

Plants

Self Cite

View full text Add to dashboard Cite

Western Siberia is one of the major spring wheat regions of Russia, cultivating over 7 Mha. The objective of the study was to evaluate the variation of macro- and microelements, and of trace metals in four distinct groups of genetic resources: primary synthetics from CIMMYT (37 entries), primary synthetics from Japan (8), US hard red spring wheat cultivars (14), and material from the Kazakhstan–Siberian Network on Spring Wheat Improvement (KASIB) (74). The experiment was conducted at Omsk State Agrarian University, using a random complete block design with four replicates in 2017 and 2018. Concentrations of 15 elements were included in the analysis: macroelements, Ca, K, Mg, P, and S; microelements, Fe, Cu, Mn, and Zn; toxic trace elements, Cd, Co, Ni; and trace elements, Mo, Rb, and Sr. Protein content was found to be positively correlated with the concentrations of 11 of the elements in one or both years. Multiple regression was used to adjust the concentration of each element, based on significant correlations with agronomic traits and macroelements. All 15 elements were evaluated for their suitability for genetic enhancement, considering phenotypic variation, their share of the genetic component in this variation, as well as the dependence of the element concentration on other traits. Three trace elements (Sr, Mo, and Co) were identified as traits that were relatively easy to enhance through breeding. These were followed by Ca, Cd, Rb, and K. The important biofortification elements Mn and Zn were among the traits that were difficult to enhance genetically. The CIMMYT and Japanese synthetics had significantly higher concentrations of K and Sr, compared to the local check. The Japanese synthetics also had the highest concentrations of Ca, S, Cd, and Mo. The US cultivars had concentrations of Ca as high as the Japanese synthetics, and the highest concentrations of Mg and Fe. KASIB’s germplasm had near-average values for most elements. Superior germplasm, with high macro- and microelement concentrations and low trace-element concentrations, was found in all groups of material included.

show abstract

“…The contribution of three genomes to MEAs also varied among elements. A genome-hosted highest number of MEAs for K; genome B for Mg, P, Mn, Zn, Co, Ni, and Sr; genome D for Ca and S. Group 1 SNPs with significant MEAs in the two years were identified for Ca (3), Mg (14), P (5), Cu (1), Mn (8), Cd (13), Co (1), Ni (3) and Sr (2) (Table 1 and Supplementary Table S3). There were 197 Group 2 SNPs with −log 10 (p-value) > 3.5 and significant effects for original and adjusted values in one year for all elements with exception of Rb.…”

Section: Results From Gwas Analysismentioning

confidence: 99%

“…The ionomics analysis was conducted at the University of Nottingham in the framework of the European Plant Phenotyping Network. In the first study, 180 samples collected from wheat fields across a wide area, including eight regions of Kazakhstan and Russia were analyzed and demonstrated that toxic elements (As, Cd, Cr, Li, and Pb) were below maximum quantities as defined by FAO, EU and national regulations [13]. The presence of industry in Aktobe, East Kazakhstan, and Omsk did not have a negative effect on grain safety.…”

Section: Introductionmentioning

confidence: 99%

Genetic Characterization of Spring Wheat Germplasm for Macro-, Microelements and Trace Metals

Morgounov

Shepelev

et al. 2022

Plants

Self Cite

View full text Add to dashboard Cite

Wheat as a staple food crop is the main source of micro- and macronutrients for most people of the world and is recognized as an attractive crop for biofortification. This study presents a comprehensive investigation of genomic regions governing grain micro- and macroelements concentrations in a panel of 135 diverse wheat accessions through a genome-wide association study. The genetic diversity panel was genotyped using the genotyping-by-sequencing (GBS) method and phenotyped in two environments during 2017–2018. Wide ranges of variation in nutrient element concentrations in grain were detected among the accessions. Based on 33,808 high-quality single nucleotide polymorphisms (SNPs), 2997 marker-element associations (MEAs) with −log10(p-value) > 3.5 were identified, representing all three subgenomes of wheat for 15-grain concentration elements. The highest numbers of MEAs were identified for Mg (499), followed by S (399), P (394), Ni (381), Cd (243), Ca (229), Mn (224), Zn (212), Sr (212), Cu (111), Rb (78), Fe (63), Mo (43), K (32) and Co (19). Further, MEAs associated with multiple elements and referred to as pleiotropic SNPs were identified for Mg, P, Cd, Mn, and Zn on chromosomes 1B, 2B, and 6B. Fifty MEAs were subjected to validation using KASIB multilocational trial at six sites in two years using 39 genotypes. Gene annotation of MEAs identified putative candidate genes that potentially encode different types of proteins related to disease, metal transportation, and metabolism. The MEAs identified in the present study could be potential targets for further validation and may be used in marker-assisted breeding to improve nutrient element concentrations in wheat grain.

show abstract

Ionomic Analysis of Spring Wheat Grain Produced in Kazakhstan and Russia

Cited by 9 publications

References 27 publications

Nutritional Genomic Approach for Improving Grain Protein Content in Wheat

Nutritional Genomic Approach for Improving Grain Protein Content in Wheat

Variation of Macro- and Microelements, and Trace Metals in Spring Wheat Genetic Resources in Siberia

Genetic Characterization of Spring Wheat Germplasm for Macro-, Microelements and Trace Metals

Contact Info

Product

Resources

About