Agave angustifolia albino plantlets lose stomatal physiology function by changing the development of the stomatal complex due to a molecular disruption

Hernández-Castellano, Sara; Garruña-Hernández, René; Us-Camas, Rosa; Kú-González, Ángela; De‐la‐Peña, Clelia

doi:10.1007/s00438-019-01643-y

Cited by 13 publications

(10 citation statements)

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“…MAP KINASE 4 ( MAPK4 ) is another gene identified via GWAS for gs that is known to be involved in the response to pathogen recognition ( Berriri et al.,2012 ). Furthermore, evidence from Aspen ( Populus termuloides ; Witoń et al, 2016 ) and Caribbean agave ( Agave angustifolia ; Sara et al., 2020 ) demonstrate a role for MAPK4 in the regulation of g s and stomatal development, which is in line with the identification of MAPK4 via TWAS for SD in GP tissue also. MAPK4 was not observed to contain any deleterious SNPs, but the presence of two nonsynonymous SNPs highlights the potential for functional variation at MAPK4 across sorghum.…”

Section: Discussionsupporting

confidence: 62%

Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

et al. 2021

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Sorghum (Sorghum bicolor) is a model C4 crop made experimentally tractable by extensive genomic and genetic resources. Biomass sorghum is studied as a feedstock for biofuel and forage. Mechanistic modelling suggests that reducing stomatal conductance (gs) could improve sorghum intrinsic water use efficiency (iWUE) and biomass production. Phenotyping to discover genotype-to-phenotype associations remains a bottleneck in understanding the mechanistic basis for natural variation in gs and iWUE. This study addressed multiple methodological limitations. Optical tomography and a machine learning tool were combined to measure stomatal density (SD). This was combined with rapid measurements of leaf photosynthetic gas exchange and specific leaf area (SLA). These traits were the subject of genome-wide association study (GWAS) and transcriptome-wide association study (TWAS) across 869 field-grown biomass sorghum accessions. The ratio of intracellular to ambient CO2 (ci/ca) was genetically correlated with SD, SLA, gs and biomass production. Plasticity in SD and SLA were interrelated with each other and with productivity across wet and dry growing seasons. Moderate-to-high heritability of traits studied across the large mapping population validated associations between DNA sequence variation or RNA transcript abundance and trait variation. 394 unique genes underpinning variation in WUE-related traits are described with higher confidence because they were identified in multiple independent tests. This list was enriched in genes whose Arabidopsis (Arabidopsis thaliana) putative orthologs have functions related to stomatal or leaf development and leaf gas exchange, as well as genes with non-synonymous/missense variants. These advances in methodology and knowledge will facilitate improving C4 crop WUE.

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Section: Discussionsupporting

confidence: 62%

Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

et al. 2021

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“…In terms of genes identified underlying variation in g s , but not A N , MAPK4 , identified via GWAS for g s , represents a particularly promising candidate (Table S9). MAPK4 is a well characterized disease resistance protein (Berriri et al, 2012), but evidence from aspen (Witoń et al, 2016) and agave (Sara et al, 2020) demonstrate a role for MAPK4 in the regulation of g s and stomatal development, which is in line with the identification of MAPK4 via TWAS for SD in GP tissue also.…”

Section: Discussionmentioning

confidence: 67%

Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

Ferguson

Fernandes

Monier

et al. 2020

Preprint

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Sorghum is a model C4 crop made experimentally tractable by extensive genomic and genetic resources. Biomass sorghum is also studied as a feedstock for biofuel and forage. Mechanistic modelling suggests that reducing stomatal conductance (gs) could improve sorghum intrinsic water use efficiency (iWUE) and biomass production. Phenotyping for discovery of genotype to phenotype associations remain bottlenecks in efforts to understand the mechanistic basis for natural variation in gs and iWUE. This study addressed multiple methodological limitations. Optical tomography and a novel machine learning tool were combined to measure stomatal density (SD). This was combined with rapid measurements of leaf photosynthetic gas exchange and specific leaf area (SLA). These traits were then the subject of genome-wide association study (GWAS) and transcriptome-wide association study (TWAS) across 869 field-grown biomass sorghum accessions. SD was correlated with plant height and biomass production. Plasticity in SD and SLA were interrelated with each other, and productivity, across wet versus dry growing seasons. Moderate-to-high heritability of traits studied across the large mapping population supported identification of associations between DNA sequence variation, or RNA transcript abundance, and trait variation. 394 unique genes underpinning variation in WUE-related traits are described with higher confidence because they were identified in multiple independent tests. This list was enriched in genes whose orthologs in Arabidopsis have functions related to stomatal or leaf development and leaf gas exchange. These advances in methodology and knowledge will aid efforts to improve the WUE of C4 crops.

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“…Although S. sempervirens and P. japonica can survive for a prolonged time, albino shoots of the former were derived from sprouts while the latter had symbiotic relationships with fungi. The longest individual albino plants survived on culture medium are Agave plants (∼5 years) ( Duarte-Aké et al, 2016 ; Hernández-Castellano et al, 2020 ), followed by A. vulgaris with a life span of 3 months ( Rischkow and Bulanowa, 1931 ) and maize plants of less than 4 months ( Spoehr, 1942 ) while the former one should be long-lived. A consensus is drawn that individual albino plants are unable to perform photosynthesis; hence they die after stored energy is exhausted.…”

Section: Discussionmentioning

confidence: 99%

“…Some of them have been used to shed the light on pathways involved in chloroplast biogenesis, such as the retrograde signaling ( Bradbeer et al, 1979 ; Börner, 2017 ), plastid protein import machinery ( Shipman-Roston et al, 2010 ; Li et al, 2019 ), and light signal regulated genes in albino plants ( Grübler et al, 2017 ). Chemically induced and tissue culture-derived albino plants have been used to understand the development of stomatal complex ( Hernández-Castellano et al, 2020 ), stomatal opening and functioning ( Roelfsema et al, 2006 ), the role of blue or red light in regulating flowering ( Jabben and Deitzer, 1979 ; Bavrina et al, 2002 ), and the effects of carotenoid-derived molecules on root development patterning ( Van Norman et al, 2014 ). Although albino plants occur in nature and can also be obtained in laboratory through somaclonal variation by cell and tissue culture, induction by physical and chemical mutagenesis, and genetic engineering, a distinct characteristic of the albino plants is that the majority of them are usually short-lived even though they are maintained on culture media with high sucrose ( Dunford and Walden, 1991 ; Zubko and Day, 1998 ; Ruppel et al, 2011 ; Steiner et al, 2011 ; García-Alcázar et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

“…However, there are no reports on long-lived albino plants with exception of three recent studies from perennial Agave ( Agave angustifolia Haw.) in which created albino plants are surely long-lived even though their life span was not indicated ( Duarte-Aké et al, 2016 ; Us-Camas et al, 2017 ; Hernández-Castellano et al, 2020 ). One possibility for the lack of long-lived albino plants could be due to the life span of their parental species since most of albino mutants are derived from either annual or biennial plant species.…”

Section: Introductionmentioning

confidence: 99%

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Transformation of Long-Lived Albino Epipremnum aureum ‘Golden Pothos’ and Restoring Chloroplast Development

et al. 2021

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Chloroplasts are organelles responsible for chlorophyll biosynthesis, photosynthesis, and biosynthesis of many metabolites, which are one of key targets for crop improvement. Elucidating and engineering genes involved in chloroplast development are important approaches for studying chloroplast functions as well as developing new crops. In this study, we report a long-lived albino mutant derived from a popular ornamental plant Epipremnum aureum ‘Golden Pothos’ which could be used as a model for analyzing the function of genes involved in chloroplast development and generating colorful plants. Albino mutant plants were isolated from regenerated populations of variegated ‘Golden Pothos’ whose albino phenotype was previously found to be due to impaired expression of EaZIP, encoding Mg-protoporphyrin IX monomethyl ester cyclase. Using petioles of the mutant plants as explants with a traceable sGFP gene, an efficient transformation system was developed. Expressing Arabidopsis CHL27 (a homolog of EaZIP) but not EaZIP in albino plants restored green color and chloroplast development. Interestingly, in addition to the occurrence of plants with solid green color, plants with variegated leaves and pale-yellow leaves were also obtained in the regenerated populations. Nevertheless, our study shows that these long-lived albino plants along with the established efficient transformation system could be used for creating colorful ornamental plants. This system could also potentially be used for investigating physiological processes associated with chlorophyll levels and chloroplast development as well as certain biological activities, which are difficult to achieve using green plants.

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Agave angustifolia albino plantlets lose stomatal physiology function by changing the development of the stomatal complex due to a molecular disruption

Cited by 13 publications

References 99 publications

Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

Transformation of Long-Lived Albino Epipremnum aureum ‘Golden Pothos’ and Restoring Chloroplast Development

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