Hotspots in the genomic architecture of field drought responses in wheat as breeding targets

Gálvez, Sergio; Mérida-García, Rosa; Camino, C.; Borrill, Philippa; Abrouk, Michaël; Ramírez-González, Ricardo H.; Biyiklioglu, Sezgi; Amil-Ruíz, Francisco; Dorado, Gabriel; Budak, Hikmet; González-Dugo, Victoria; Zarco‐Tejada, Pablo J.; Appels, R.; Uauy, Cristóbal; Hernández, Pilar

doi:10.1007/s10142-018-0639-3

Cited by 43 publications

(45 citation statements)

References 59 publications

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“…The marker SNP620, located on chromosome 1B and detected in association with SV, was found included into a cluster of 12 genes encoding blue copper proteins (BCP), with homoeologs in the two durum wheat subgenomes (Figure 4, Table 5 and Supplementary Material Figure S6). In the hexaploid wheat genome, this set of genes form a cluster of homeolog triads [72] with a total of 31 genes (Supplementary Materials Table S7 and Figure S7). Additionally, another interesting gene (TraesCS1B01G568400LC.1) was found closer this marker, coding for the ubiquinone biosynthesis O-methyltransferase.…”

Section: Candidate Genes Analysismentioning

confidence: 99%

Mapping Agronomic and Quality Traits in Elite Durum Wheat Lines under Differing Water Regimes

et al. 2020

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Final grain production and quality in durum wheat are affected by biotic and abiotic stresses. The association mapping (AM) approach is useful for dissecting the genetic control of quantitative traits, with the aim of increasing final wheat production under stress conditions. In this study, we used AM analyses to detect quantitative trait loci (QTL) underlying agronomic and quality traits in a collection of 294 elite durum wheat lines from CIMMYT (International Maize and Wheat Improvement Center), grown under different water regimes over four growing seasons. Thirty-seven significant marker-trait associations (MTAs) were detected for sedimentation volume (SV) and thousand kernel weight (TKW), located on chromosomes 1B and 2A, respectively. The QTL loci found were then confirmed with several AM analyses, which revealed 12 sedimentation index (SDS) MTAs and two additional loci for SV (4A) and yellow rust (1B). A candidate gene analysis of the identified genomic regions detected a cluster of 25 genes encoding blue copper proteins in chromosome 1B, with homoeologs in the two durum wheat subgenomes, and an ubiquinone biosynthesis O-methyltransferase gene. On chromosome 2A, several genes related to photosynthetic processes and metabolic pathways were found in proximity to the markers associated with TKW. These results are of potential use for subsequent application in marker-assisted durum wheat-breeding programs.

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Section: Candidate Genes Analysismentioning

confidence: 99%

Mapping Agronomic and Quality Traits in Elite Durum Wheat Lines under Differing Water Regimes

et al. 2020

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“…Stomata are typically closed under water-stressed conditions, which reduces crop growth and photosynthesis and may aggravate crop heat stress because of decreased transpirational cooling [8]. The canopy temperature is a good indicator of the response of crops to water stress [315], and scientists have reported that under water stress the measurement can be used to identify drought-adapted cultivars [114], [123], [136], [268], [316]- [318]. Thermal images need to be normalized to the ambient temperature and relative humidity to control the effect of environmental conditions on measurements.…”

Section: Water Stressmentioning

confidence: 99%

High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms

Jin

Zarco‐Tejada

Schmidhalter

et al. 2021

IEEE Geosci. Remote Sens. Mag.

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This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. 2 0274-6638/20©2020IEEE IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE MONTH 2020 C rop yields need to be improved in a sustainable manner to meet the expected worldwide increase in population over the coming decades as well as the effects of anticipated climate change. Recently, genomics-assisted breeding has become a popular approach to food security; in this regard, the crop breeding community must better link the relationships between the phenotype and the genotype. While high-throughput genotyping is feasible at a low cost, highthroughput crop phenotyping methods and data analytical capacities need to be improved. High-throughput phenotyping offers a powerful way to assess particular phenotypes in large-scale experiments, using high-tech sensors, advanced robotics, and imageprocessing systems to monitor and quantify plants in breeding nurseries and field experiments at multiple scales. In addition, new bioinformatics platforms are able to embrace large-scale, multidimensional phenotypic datasets. Through the combined analysis of phenotyping and genotyping data, environmental responses and gene functions can now be dissected at unprecedented resolution. This will aid in finding solutions to currently limited and incremental improvements in crop yields. BACKGROUND Worldwide demand for food will increase through 2050 and beyond due to the increasing global human population. This represents a huge challenge to crop researchers and agricultural policymakers because current yield gain rates will not be sufficient for the demands of population growth, while climate change will make the difficulty even greater. Today's DNA sequencing, marker-assisted breeding, transgenic technology, genome-wide association study (GWAS) approaches, and quantitative trait loci (QTL) identification have been applied, to a limited extent, to improve crop yields [1]-[4]. While it is now relatively easy to select for monogenic traits, current genome sequence datasets have not been sufficiently mined for more genetically complex (multigenic) performance characteristics, at least in part because of the lack of crop phenotypic information collected from real-world field situations. Furthermore, traditional crop growth analysis often involves destructive sampling that is time-consuming and prone to measurement error. At High-Throughput Estimation of Crop Traits A review of ground and aerial phenotyping platforms

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“…RNA sequencing (RNA-seq) is widely used to identify stress-related genes, and can also provide key information regarding the expression of genes regulated by transcription factors [40,41]. To explore the genes regulated by ZmBES1/BZR1-5, we performed RNA-seq using the Illumina HiSeq3000 system.…”

Section: Zmbes1/bzr1-5 Regulates the Expression Of Stress-related Genesmentioning

confidence: 99%

Maize ZmBES1/BZR1-5 Decreases ABA Sensitivity and Confers Tolerance to Osmotic Stress in Transgenic Arabidopsis

Sun

et al. 2020

IJMS

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The BRI1-EMS suppressor 1 (BES1)/brassinazole-resistant 1 (BZR1) transcription factors, key components in the brassinosteroid signaling pathway, play pivotal roles in plant growth and development. However, the function of BES1/BZR1 in crops during stress response remains poorly understood. In the present study, we characterized ZmBES1/BZR1-5 from maize, which was localized to the nucleus and was responsive to abscisic acid (ABA), salt and drought stresses. Heterologous expression of ZmBES1/BZR1-5 in transgenic Arabidopsis resulted in decreased ABA sensitivity, facilitated shoot growth and root development, and enhanced salt and drought tolerance with lower malondialdehyde (MDA) content and relative electrolyte leakage (REL) under osmotic stress. The RNA sequencing (RNA-seq) analysis revealed that 84 common differentially expressed genes (DEGs) were regulated by ZmBES1/BZR1-5 in transgenic Arabidopsis. Subsequently, gene ontology and KEGG pathway enrichment analyses showed that the DEGs were enriched in response to stress, secondary metabolism and metabolic pathways. Furthermore, 30 DEGs were assigned to stress response and possessed 2–15 E-box elements in their promoters, which could be potentially recognized and bound by ZmBES1/BZR1-5. Taken together, our results reveal that the ZmBES1/BZR1-5 transcription factor positively regulates salt and drought tolerance by binding to E-box to induce the expression of downstream stress-related genes. Therefore, our study contributes to the better understanding of BES1/BZR1 function in the stress response of plants.

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Hotspots in the genomic architecture of field drought responses in wheat as breeding targets

Cited by 43 publications

References 59 publications

Mapping Agronomic and Quality Traits in Elite Durum Wheat Lines under Differing Water Regimes

Mapping Agronomic and Quality Traits in Elite Durum Wheat Lines under Differing Water Regimes

High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms

Maize ZmBES1/BZR1-5 Decreases ABA Sensitivity and Confers Tolerance to Osmotic Stress in Transgenic Arabidopsis

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