| Literature DB >> 32604986 |
Lisa Rotasperti1, Francesca Sansoni1, Chiara Mizzotti1, Luca Tadini1, Paolo Pesaresi1.
Abstract
Barley (Hordeum vulgare) has been widely used as a model crop for studying molecular and physiological processes such as chloroplast development and photosynthesis. During the second half of the 20th century, mutants such as albostrians led to the discovery of the nuclear-encoded, plastid-localized RNA polymerase and the retrograde (chloroplast-to-nucleus) signalling communication pathway, while chlorina-f2 and xantha mutants helped to shed light on the chlorophyll biosynthetic pathway, on the light-harvesting proteins and on the organization of the photosynthetic apparatus. However, during the last 30 years, a large fraction of chloroplast research has switched to the more "user-friendly" model species Arabidopsis thaliana, the first plant species whose genome was sequenced and published at the end of 2000. Despite its many advantages, Arabidopsis has some important limitations compared to barley, including the lack of a real canopy and the absence of the proplastid-to-chloroplast developmental gradient across the leaf blade. These features, together with the availability of large collections of natural genetic diversity and mutant populations for barley, a complete genome assembly and protocols for genetic transformation and gene editing, have relaunched barley as an ideal model species for chloroplast research. In this review, we provide an update on the genomics tools now available for barley, and review the biotechnological strategies reported to increase photosynthesis efficiency in model species, which deserve to be validated in barley.Entities:
Keywords: Barley; chloroplast biogenesis; functional genomics; genome; photosynthesis improvement
Year: 2020 PMID: 32604986 PMCID: PMC7411767 DOI: 10.3390/plants9070803
Source DB: PubMed Journal: Plants (Basel) ISSN: 2223-7747
Figure 1Overview of the genetic characteristics and genomics tools available for barley. These features, together with its canopy architecture and developmental properties, make barley an optimal model for chloroplast research.
List of databases, genome browsers and bioinformatics tools available for barley genome analyses.
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| The Barley Genome Explorer permits visual inspection of BAC overlaps, and comparisons of BACs and provides useful information on genes and markers |
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| A genome browser that incorporates genomic data from diverse organisms, including numerous plant species. It enables users to compare genome-scale datasets with the aid of a single collection of interfaces |
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| Barley BLAST server for genome-scale homology-based searches |
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| GMAP and BLAST server for barley (cv. Golden Promise) genome comparisons, including mapping of transcripts |
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| Integrated data resource for comparative functional genomics in crops and model plant species |
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| Provides data and information resources for individual plant species and a platform for integrative and comparative plant genome research. |
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| Barley Reference Transcript Dataset provides access to 177,240 barley-expressed transcripts covering 60,444 genes |
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List of representative collections of natural variants of barley available at different institutions worldwide, together with online platforms that provide information about barley genetic resources.
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| An online platform containing information about plant genetic resources for food and agriculture, conserved in gene banks worldwide |
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| An online catalogue of crop collections together with their locations |
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| Information on more than 2 million crop plant accessions and their wild relatives, preserved ex situ by almost 400 institutes in Europe and beyond |
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List of representative barley mutant populations obtained by either chemical or physical mutagenesis in different genetic backgrounds, i.e., cultivars.
| Induced Mutant Populations | ||
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| Cultivar | Mutagen | Reference |
| Optic | EMS | [ |
| Barke | EMS | [ |
| Morex | NaN3 | [ |
| Lux | NaN3 | [ |
| DH-930-36 | MNU | [ |
| DH-930-36 | Gamma rays | [ |
| Sebastian | NaN3+MNU | [ |
| Golden Promise | EMS | [ |
Figure 2Biotechnological strategies that have been shown to enhance photosynthetic efficiency in model species. All of them can be applied to barley using the available genetic tools, and can potentially be improved by exploiting the genetic diversity of barley.
Brief summary of biotechnological strategies that are being employed for photosynthesis improvement in barley.
| Target | Efficiency Gain | Strategy | Outcome | References |
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| Retrograde signalling | ||||
| 1. Investigating the existence of a GUN1-dependent retrograde signalling pathway in barley | Not expected | Knock-out of the HORVU.MOREX.r2.5HG0366860.1 gene through gene editing | Molecular details of the retrograde signalling pathway involved in chloroplast biogenesis with possible repercussions for the control of leaf life-cycle | [ |
| Light phase of photosynthesis | ||||
| 1. Optimisation of the antenna size | 20–50% | Reduction of photosystem antenna size obtained by either reducing chlorophyll production or decreasing levels of the photosystem antenna proteins by gene editing or introgression of induced mutations. Identification of allelic variants by allele mining and TILLING. | More uniform photosynthetic performance throughout the crop canopy and prevention of photo-oxidative damage in the upper layers of the canopy. Increases in land–surface reflectivity to offset greenhouse gas warming. | [ |
| 2. Increased photosynthetic electron transport | 30–70% | Increased accumulation of electron carriers, such as cytochrome | Increased electron transport rate through the thylakoid membranes | [ |
| 3. Fine-Tuning of NPQ | 30% | Increased accumulation of VDE, ZEP and PsbS by transgenic approaches. Identification of allelic variants by allele mining and TILLING. | More rapid induction and relaxation of heat dissipation at PSII. | [ |
| Dark phase of photosynthesis | ||||
| 1. Increasing the abundance of different enzymes of the Calvin–Benson cycle | >30% | Increased accumulation of SBPase and FBPA enzymes by transgenic approaches. Identification of allelic variants by allele mining and TILLING. | Optimization of ribulose 1,5-bisphosphate (RuBP) regeneration. | [ |
| 2. Increasing the efficiency of light activation of Calvin–Benson enzymes | >20% | Increased accumulation of Rubisco activase, TRX | More efficient light-dependent activation of Calvin–Benson enzyme optimises CO2 fixation. | [ |
| Photorespiration | ||||
| 1. Increasing the photorespiration flow of intermediates | >15% | Increased accumulation of H- and L-proteins by transgenic approaches. | Reduced accumulation of photorespiration intermediates and increased CO2 assimilation rate | [ |
| 2. Synthetic bypasses to photorespiration | >20% | Introduction of natural and synthetic glycolate catabolic pathways in the chloroplast | Increased CO2 assimilation rates | [ |