3
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity

      research-article

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Agriculture is particularly vulnerable to climate change. To cope with the risks posed by climate-related stressors to agricultural production, global population growth, and changes in food preferences, it is imperative to develop new climate-smart crop varieties with increased yield and environmental resilience. Molecular genetics and genomic analyses have revealed that allelic variations in genes involved in phytohormone-mediated growth regulation have greatly improved productivity in major crops. Plant science has remarkably advanced our understanding of the molecular basis of various phytohormone-mediated events in plant life. These findings provide essential information for improving the productivity of crops growing in changing climates. In this review, we highlight the recent advances in plant hormonomics (multiple phytohormone profiling) and discuss its application to crop improvement. We present plant hormonomics as a key tool for deep physiological phenotyping, focusing on representative plant growth regulators associated with the improvement of crop productivity. Specifically, we review advanced methodologies in plant hormonomics, highlighting mass spectrometry- and nanosensor-based plant hormone profiling techniques. We also discuss the applications of plant hormonomics in crop improvement through breeding and agricultural management practices.

          Related collections

          Most cited references225

          • Record: found
          • Abstract: found
          • Article: not found

          The rhizosphere microbiome and plant health.

          The diversity of microbes associated with plant roots is enormous, in the order of tens of thousands of species. This complex plant-associated microbial community, also referred to as the second genome of the plant, is crucial for plant health. Recent advances in plant-microbe interactions research revealed that plants are able to shape their rhizosphere microbiome, as evidenced by the fact that different plant species host specific microbial communities when grown on the same soil. In this review, we discuss evidence that upon pathogen or insect attack, plants are able to recruit protective microorganisms, and enhance microbial activity to suppress pathogens in the rhizosphere. A comprehensive understanding of the mechanisms that govern selection and activity of microbial communities by plant roots will provide new opportunities to increase crop production. Copyright © 2012 Elsevier Ltd. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            mRNA-Seq whole-transcriptome analysis of a single cell.

            Next-generation sequencing technology is a powerful tool for transcriptome analysis. However, under certain conditions, only a small amount of material is available, which requires more sensitive techniques that can preferably be used at the single-cell level. Here we describe a single-cell digital gene expression profiling assay. Using our mRNA-Seq assay with only a single mouse blastomere, we detected the expression of 75% (5,270) more genes than microarray techniques and identified 1,753 previously unknown splice junctions called by at least 5 reads. Moreover, 8-19% of the genes with multiple known transcript isoforms expressed at least two isoforms in the same blastomere or oocyte, which unambiguously demonstrated the complexity of the transcript variants at whole-genome scale in individual cells. Finally, for Dicer1(-/-) and Ago2(-/-) (Eif2c2(-/-)) oocytes, we found that 1,696 and 1,553 genes, respectively, were abnormally upregulated compared to wild-type controls, with 619 genes in common.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Plant–microbiome interactions: from community assembly to plant health

              Healthy plants host diverse but taxonomically structured communities of microorganisms, the plant microbiota, that colonize every accessible plant tissue. Plant-associated microbiomes confer fitness advantages to the plant host, including growth promotion, nutrient uptake, stress tolerance and resistance to pathogens. In this Review, we explore how plant microbiome research has unravelled the complex network of genetic, biochemical, physical and metabolic interactions among the plant, the associated microbial communities and the environment. We also discuss how those interactions shape the assembly of plant-associated microbiomes and modulate their beneficial traits, such as nutrient acquisition and plant health, in addition to highlighting knowledge gaps and future directions.
                Bookmark

                Author and article information

                Contributors
                Journal
                Plant Cell Physiol
                Plant Cell Physiol
                pcp
                Plant and Cell Physiology
                Oxford University Press (UK )
                0032-0781
                1471-9053
                December 2022
                18 May 2022
                18 May 2022
                : 63
                : 12
                : 1826-1839
                Affiliations
                departmentInstitute of Plant Science and Resources, Okayama University , 2-20-1 Chuo, Kurashiki, Okayama, 710-0046 Japan
                RIKEN Center for Sustainable Resource Science , 1-7-22 Suehirocho, Tsurumiku, Yokohama, Kanagawa, 230-0045 Japan
                departmentKihara Institute for Biological Research, Yokohama City University , 641-12 Maiokacho, Totsukaku, Yokohama, Kanagawa, 244-0813 Japan
                departmentSchool of Information and Data Sciences, Nagasaki University , 1-14 Bunkyo-machi, Nagasaki, 852-8521 Japan
                departmentRIKEN Baton Zone Program, RIKEN Cluster for Science , Technology and Innovation Hub, 1-7-22 Suehirocho, Tsurumiku, Yokohama, Kanagawa 230-0045 Japan
                Author notes
                *Corresponding authors: Takashi Hirayama, E-mail, hira-t@ 123456okayama-u.ac.jp ; Keiichi Mochida, E-mail, keiichi.mochida@ 123456riken.jp
                Author information
                https://orcid.org/0000-0002-3868-2380
                https://orcid.org/0000-0003-1299-0024
                Article
                pcac067
                10.1093/pcp/pcac067
                9885943
                35583356
                b16c5b2e-d2e0-4ffb-88a4-0b17c3253c21
                © The Author(s) 2022. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 04 February 2022
                : 07 April 2022
                : 18 May 2022
                : 10 May 2022
                : 10 June 2022
                Page count
                Pages: 14
                Funding
                Funded by: Core Research for Evolutional Science and Technology, DOI 10.13039/501100003382;
                Award ID: JPMJCR16O4
                Funded by: Ministry of Education, Culture, Sports, Science and Technology, DOI 10.13039/501100001700;
                Award ID: 21H02509
                Funded by: Ministry of Education, Culture, Sports, Science and Technology, DOI 10.13039/501100001700;
                Award ID: 21K19117
                Funded by: Bio-oriented Technology Research Advancement Institution, DOI 10.13039/501100007173;
                Award ID: JPJ009237
                Categories
                Special Issue—Mini Review
                AcademicSubjects/SCI01210
                AcademicSubjects/SCI01180

                Plant science & Botany
                biosensor,biostimulant,breeding,mass spectrometry,phytohormone
                Plant science & Botany
                biosensor, biostimulant, breeding, mass spectrometry, phytohormone

                Comments

                Comment on this article