Bimodality of stable and plastic traits in plants

Fisher, Josef; Bensal, Elad; Zamir, Dani

doi:10.1007/s00122-017-2933-1

Cited by 15 publications

(13 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the high stability of the trait (Additional file 1 : Figure S1), we could map these QTLs in narrow regions of the genome, spanning between 423 and 663 kb, containing, in all cases, less than 100 genes. The stability of seed size has been studied previously in multiple crops, showing that this trait has low dispersion even in different environmental conditions, unlike seed number, which is a very plastic trait [ 77 ].…”

Section: Discussionmentioning

confidence: 99%

QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map

et al. 2018

View full text Add to dashboard Cite

BackgroundMelon shows a broad diversity in fruit morphology and quality, which is still underexploited in breeding programs. The knowledge of the genetic basis of fruit quality traits is important for identifying new alleles that may be introduced in elite material by highly efficient molecular breeding tools.ResultsIn order to identify QTLs controlling fruit quality, a recombinant inbred line population was developed using two commercial cultivars as parental lines: “Védrantais”, from the cantalupensis group, and “Piel de Sapo”, from the inodorus group. Both have desirable quality traits for the market, but their fruits differ in traits such as rind and flesh color, sugar content, ripening behavior, size and shape. We used a genotyping-by-sequencing strategy to construct a dense genetic map, which included around five thousand variants distributed in 824 bins. The RIL population was phenotyped for quality and morphology traits, and we mapped 33 stable QTLs involved in sugar and carotenoid content, fruit and seed morphology and major loci controlling external color of immature fruit and mottled rind. The median confidence interval of the QTLs was 942 kb, suggesting that the high density of the genetic map helped in increasing the mapping resolution. Some of these intervals contained less than a hundred annotated genes, and an integrative strategy combining gene expression and resequencing data enabled identification of candidate genes for some of these traits.ConclusionSeveral QTLs controlling fruit quality traits in melon were identified and delimited to narrow genomic intervals, using a RIL population and a GBS-based genetic map.Electronic supplementary materialThe online version of this article (10.1186/s12870-018-1537-5) contains supplementary material, which is available to authorized users.

show abstract

Section: Discussionmentioning

confidence: 99%

QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map

et al. 2018

View full text Add to dashboard Cite

show abstract

“…However, the mutant lines exhibited relatively high phenotypic variability, with few gid1a gid1b2 plants showing much stronger dwarfism than when grown under optimal growth conditions (Figure 5B). We evaluated the degree of variability in plant weight, using the parameter of coefficient of variation (CV-SD/mean; Fisher et al, 2017). The variability in M82 plant weight was much lower than that of all double mutants (Figure 5C).…”

Section: Ga-dependent and Independent Interactions Between Gid1s And Promentioning

confidence: 99%

Multiple Gibberellin Receptors Contribute to Phenotypic Stability under Changing Environments

et al. 2019

View full text Add to dashboard Cite

The pleiotropic and complex gibberellin (GA) response relies on targeted proteolysis of DELLA proteins mediated by a GAactivated GIBBERELLIN-INSENSITIVE DWARF1 (GID1) receptor. The tomato (Solanum lycopersicum) genome encodes for a single DELLA protein, PROCERA (PRO), and three receptors, SlGID1a (GID1a), GID1b1, and GID1b2, that may guide specific GA responses. In this work, clustered regularly interspaced short palindromic repeats (CRISPR) /CRISPR associated protein 9-derived gid1 mutants were generated and their effect on GA responses was studied. The gid1 triple mutant was extremely dwarf and fully insensitive to GA. Under optimal growth conditions, the three receptors function redundantly and the single gid1 mutants exhibited very mild phenotypic changes. Among the three receptors, GID1a had the strongest effects on germination and growth. Yeast two-hybrid assays suggested that GID1a has the highest affinity to PRO. Analysis of lines with a single active receptor demonstrated a unique role for GID1a in protracted response to GA that was saturated only at high doses. When the gid1 mutants were grown in the field under ambient changing environments, they showed phenotypic instability, the high redundancy was lost, and gid1a exhibited dwarfism that was strongly exacerbated by the loss of another GID1b receptor gene. These results suggest that multiple GA receptors contribute to phenotypic stability under environmental extremes.

show abstract

“…Similarly, a study on the bimodality of trait and yield component stability across different crop species (Fisher et al, 2017) showed a similar pattern of high stability for leaf area but low for yield. Similar to the study by Muehleisen et al ( 2014) we found no signi cant correlation between grain yield and any measured trait other than TGW and ears population for 2 rows.…”

Section: Agronomic Traits and Yield Stability Associationsmentioning

confidence: 80%

Variation and Stability in Agronomic Traits Among Geographic Groups of Traditional Landraces Grown Under High Yielding Conditions

Hoebe

Terrazas

Hoad

et al. 2021

Preprint

View full text Add to dashboard Cite

Future crop production needs to deliver increased yields with less agronomic inputs in the face of increasingly variable climate, which is predicted to result in greater seasonal variation in production. To support more sustainable production, new crop varieties need to have increased resilience in their agronomic traits to cope with fluctuation in growing conditions. We investigated the breadth of phenotypic expression in yield related agronomic traits among groups of European barley landrace from different geographic origin and Harlan composite cross populations grown under a common high yield test protocol. Stability of agronomic traits and yield were assessed for each group across environments and years. There were significant differences in thousand grain weight (TGW), seeds per ear and shoot production (tillering) among landrace groups and between 2 or 6 rowed ear habit. Modern cultivars and, to a lesser extent, Harlan populations had significantly more stable TGW than other groups. Traits most strongly associated with yield stability in 2 rowed landraces were TGW and tillering, whilst in 6 rowed landraces tillering, ear length and plant height were associated with stable yield. Absence of significant difference in agronomic trait stability among landrace groups was attributed to high phenotypic variation within groups. We conclude that phenotypic variation and stability in agronomic traits among barley landraces could be exploited for enhancing resilience in future crop breeding.

show abstract

Bimodality of stable and plastic traits in plants

Cited by 15 publications

References 24 publications

QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map

QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map

Multiple Gibberellin Receptors Contribute to Phenotypic Stability under Changing Environments

Variation and Stability in Agronomic Traits Among Geographic Groups of Traditional Landraces Grown Under High Yielding Conditions

Contact Info

Product

Resources

About