ArticleFrontiers in plant science2013
Advances in functional genomics for investigating salinity stress tolerance mechanisms in cereals.
Article in Frontiers in plant science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 76 citations in OpenAlex.
- A CAM-Related NF-YB Transcription Factor Enhances Multiple Abiotic Stress Tolerance inInternational journal of molecular sciences · 2024Article
- Genomic approaches to enhance adaptive plasticity to cope with soil constraints amidst climate change in wheat.The plant genome · 2024Review
- The Plant Growth-Promoting Potential of Halotolerant Bacteria Is Not Phylogenetically Determined: Evidence from TwoMicroorganisms · 2023Article
- Crop root system plasticity for improved yields in saline soils.Frontiers in plant science · 2023Review
- A novel mitochondrial protein is required for cell wall integrity, auxin accumulation and root elongation in Arabidopsis under salt stress.Stress biology · 2022Article
- An Overview of Abiotic Stress in Cereal Crops: Negative Impacts, Regulation, Biotechnology and Integrated Omics.Plants (Basel, Switzerland) · 2021Review
- Genetics and genomics of root system variation in adaptation to drought stress in cereal crops.Journal of experimental botany · 2021Review
- Crucial Cell Signaling Compounds Crosstalk and Integrative Multi-Omics Techniques for Salinity Stress Tolerance in Plants.Frontiers in plant science · 2021Review
- Salinity stress response and 'omics' approaches for improving salinity stress tolerance in major grain legumes.Plant cell reports · 2019Review
- Spatio-Temporal Metabolite and Elemental Profiling of Salt Stressed Barley Seeds During Initial Stages of Germination by MALDI-MSI and µ-XRF Spectrometry.Frontiers in plant science · 2019Article
- Omics Approaches for Engineering Wheat Production under Abiotic Stresses.International journal of molecular sciences · 2018Review
- Reverse Genetics and High Throughput Sequencing Methodologies for Plant Functional Genomics.Current genomics · 2016Article
- Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics.Current genomics · 2016Article
- Root spatial metabolite profiling of two genotypes of barley (Hordeum vulgare L.) reveals differences in response to short-term salt stress.Journal of experimental botany · 2016Article
- Trait Specific Expression Profiling of Salt Stress Responsive Genes in Diverse Rice Genotypes as Determined by Modified Significance Analysis of Microarrays.Frontiers in plant science · 2016Article
- From Genetics to Functional Genomics: Improvement in Drought Signaling and Tolerance in Wheat.Frontiers in plant science · 2015Review
- Making better maize plants for sustainable grain production in a changing climate.Frontiers in plant science · 2015Article
- "Omics" of maize stress response for sustainable food production: opportunities and challenges.Omics : a journal of integrative biology · 2014Review
- Regression Modeling and Meta-Analysis of Diagnostic Accuracy of SNP-Based Pathogenicity Detection Tools for UGT1A1 Gene Mutation.Genetics research international · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Abiotic stresses such as low water availability and high salinity are major causes of cereal crop yield losses and significantly impact on sustainability. Wheat and barley are two of the most important cereal crops (after maize and rice) and are grown in increasingly hostile environments with soil salinity and drought both expected to increase this century, reducing the availability of arable land. Barley and wheat are classified as glycophytes (salt-sensitive), yet they are more salt-tolerant than other cereal crops such as rice and so are good models for studying salt tolerance in cereals. The exploitation of genetic variation of phenotypic traits through plant breeding could significantly improve growth of cereals in salinity-affected regions, thus leading to improved crop yields. Genetic variation in phenotypic traits for abiotic stress tolerance have been identified in land races and wild germplasm but the molecular basis of these differences is often difficult to determine due to the complex genetic nature of these species. High-throughput functional genomics technologies, such as transcriptomics, metabolomics, proteomics, and ionomics are powerful tools for investigating the molecular responses of plants to abiotic stress. The advancement of these technologies has allowed for the identification and quantification of transcript/metabolites in specific cell types and/or tissues. Using these new technologies on plants will provide a powerful tool to uncovering genetic traits in more complex species such as wheat and barley and provide novel insights into the molecular mechanisms of salinity stress tolerance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.