Genotype by Environment Interaction and Adaptation

Bustos-Korts, Daniela; Romagosa, I.; Borràs-Gelonch, Gisela; Casas, Ana M.; Slafer, Gustavo A.; Eeuwijk, Fred van

doi:10.1007/978-1-4939-2493-6_199-3

Cited by 22 publications

(18 citation statements)

References 252 publications

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“…Climate change does not only cause shifts in plant community composition, but also affects the genetic structure within plant populations (Bustos-Korts et al, 2018;Crutsinger et al, 2006;Jump and Peñuelas, 2005). Given the high degree of intraspecific trait variability in plants, it has been hypothesized that genetic shifts within plant populations yield the potential to induce important changes in soil microbial functioning (Fischer et al, 2014;terHorst and Zee, 2016;Van Nuland et al, 2016;Ware et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Plant genotype controls wetland soil microbial functioning in response to sea-level rise

Tang

Liebner

Reents

et al. 2021

Preprint

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Abstract. Climate change induced shifts in plant community composition affect the decomposition of soil organic matter via plant-microbe interactions, often with important consequences for ecosystem carbon and nutrient cycling. Given the high degree of intraspecific trait variability in plants, it has been hypothesized that genetic shifts within species yield a similar potential to affect soil microbial functioning.We examined if sea-level rise and plant genotype interact to affect soil microbial communities in an experimental coastal wetland system, using two known genotypes of the dominant salt-marsh grass Elymus athericus characterized by differences in their sensitivity to flooding stress – i.e. an adapted genotype from low-marsh environments and an unadapted genotype from high-marsh environments. Plants were exposed to a large range of flooding frequencies in a factorial mesocosm experiment, and soil microbial-activity parameters (exo-enzyme activity and litter breakdown) and microbial community structure were assessed.Plant genotype mediated the effect of flooding on soil microbial community structure and determined the presence of flooding effects on exo-enzyme activities and belowground litter breakdown. Larger variability in microbial community structure, enzyme activities, and litter breakdown in soils planted with the unadapted plant genotype supported our general hypothesis that effects of climate change on soil microbial activity and community structure can depend on plant intraspecific adaptations. We conclude that adaptive genetic variation in plants can suppress or facilitate the effects of climate change on soil microbial communities. If this finding applies more generally to wetland ecosystems and beyond, it yields important implications for experimental climate change research and models of soil organic matter accumulation.

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Section: Introductionmentioning

confidence: 99%

Plant genotype controls wetland soil microbial functioning in response to sea-level rise

Tang

Liebner

Reents

et al. 2021

Preprint

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“…The reduction in the correlations is subject to the extent and duration of drought stress. The slight reduction in the strength of correlations between grain yield and most traits under water‐stressed compared with non‐stressed condition is expected because trait associations are dynamic and environmental stress tends to weaken the correlations between genotype and phenotypic expression (Bustos‐Korts et al., 2018). The study found that root biomass was positively correlated with grain yield under non‐stressed condition only.…”

Section: Discussionmentioning

confidence: 99%

Variability and selection among mutant families of wheat for biomass allocation, yield and yield‐related traits under drought‐stressed and non‐stressed conditions

OlaOlorun

Shimelis

Mathew

2020

J Agronomy Crop Science

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Bread wheat (Triticum aestivum L. 2n = 6x = 42, AABBDD) is among the most widely grown cereal crops serving various value chains in the world (Nhemachena and Kirsten, 2017). Wheat was produced on an estimated area of 218 million hectares with grain output of 772 million tons globally (Food & Agricultural Organization, 2018). About 30% of the world's population depends on wheat as a primary source of calories. Also, wheat provides up to 60% of proteins derived from cereals (

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“…Plasticity was detected through the correlation analysis in which performances of FW and DW in C were strongly correlated to performances in WW. In contrast, considerable proportion of GxT variance for DMC was accompanied by lower correlation estimates for performance between treatments which indicated the presence of different mechanisms of coping with water deficit, and divergence in responses of different genotypes to stress [20]. The interaction between genotype and watering regime is usually caused by different sensitivities of inbreds to WW treatment [21] thus causing crossover of genotype reactions.…”

Section: Responses To Water Withholdingmentioning

confidence: 99%

Seed Weight as a Covariate in Association and Prediction Studies for Biomass Traits in Maize Seedlings

Galić

Mazur

Brkić

et al. 2020

Plants

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Background: The seedling stage has received little attention in maize breeding to identify genotypes tolerant to water deficit. The aim of this study is to evaluate incorporation of seed weight (expressed as hundred kernel weight, HKW) as a covariate into genomic association and prediction studies for three biomass traits in a panel of elite inbred lines challenged by water withholding at seedling stage. Methods: 109 genotyped-by-sequencing (GBS) elite maize inbreds were phenotyped for HKW and planted in controlled conditions (16/8 day/night, 25 °C, 50% RH, 200 µMol/m2/s) in trays filled with soil. Plants in control (C) were watered every two days, while watering was stopped for 10 days in water withholding (WW). Fresh weight (FW), dry weight (DW), and dry matter content (DMC) were measured. Results: Adding HKW as a covariate increased the power of detection of associations in FW and DW by 44% and increased genomic prediction accuracy in C and decreased in WW. Conclusions: Seed weight was effectively incorporated into association studies for biomass traits in maize seedlings, whereas the incorporation into genomic predictions, particularly in water-stressed plants, was not worthwhile.

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Genotype by Environment Interaction and Adaptation

Cited by 22 publications

References 252 publications

Plant genotype controls wetland soil microbial functioning in response to sea-level rise

Plant genotype controls wetland soil microbial functioning in response to sea-level rise

Variability and selection among mutant families of wheat for biomass allocation, yield and yield‐related traits under drought‐stressed and non‐stressed conditions

Seed Weight as a Covariate in Association and Prediction Studies for Biomass Traits in Maize Seedlings

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