Genetic control of juvenile growth and botanical architecture in an ornamental woody plant, Prunus mumeSieb. et Zucc. as revealed by a high-density linkage map

Sun, Lidan; Wang, Yaqun; Yan, Xiao-lan; Cheng, Tangren; Ma, Kaifeng; Yang, Weiru; Zheng, Chengfei; Zhu, Xuli; Wang, Jia; Wu, Rongling; Zhang, Qixiang

doi:10.1186/1471-2156-15-s1-s1

Cited by 30 publications

(29 citation statements)

References 32 publications

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“…Leaf length (LfL, cm), leaf width (LfW, cm) and leaf area (LfA, cm 2 ) were then measured using the LAMINA software (Bylesjö et al., ). The ratio between LfL and LfW (LfL_LfW) was calculated and represents an independent shape variable that has been used extensively in leaf morphometric analysis (Aravanopoulos, ; Lebrija‐Trejos, Pérez‐García, Meave, Bongers, & Poorter, ; Sun et al., ). All leaves were then oven‐dried at 60°C for 72 hr to constant weight, and the specific leaf area (SLA, cm 2 /g) was determined as the ratio between LfA and leaf dry weight.…”

Section: Methodsmentioning

confidence: 99%

Characterization of phenology, physiology, morphology and biomass traits across a broad Euro‐Mediterranean ecotypic panel of the lignocellulosic feedstock Arundo donax

Fabbrini

Ludovisi

Alasia³

et al. 2018

GCB Bioenergy

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Giant reed (Arundo donax L.) is a perennial rhizomatous grass, which has attracted great attention as a potential lignocellulosic feedstock for bioethanol production due to high biomass yield in marginal land areas, high polysaccharide content and low inhibitor levels in microbial fermentations. However, little is known about the trait variation that is available across a broad ecotypic panel of A. donax nor the traits that contribute most significantly to yield and growth in drought prone environments. A collection of 82 ecotypes of A. donax sampled across the Mediterranean basin was planted in a common garden experimental field in Savigliano, Italy. We analysed the collection using 367 clumps representing replicate plantings of 82 ecotypes for variation in 21 traits important for biomass accumulation and to identify the particular set of ecotypes with the most promising potential for biomass production. We measured morpho‐physiological, phenological and biomass traits and analysed causal relationships between traits and productivity characteristics assessed at leaf and canopy levels. The results identified differences among the 82 ecotypes for all studied traits: those showing the highest level of variability included stomatal resistance, stem density (StN), stem dry mass (StDM) and total biomass production (TotDM). Multiple regression analysis revealed that leaf area index, StDM, StN, number of nodes per stem, stem height and diameter were the most significant predictors of TotDM and the most important early selection criteria for bioenergy production from A. donax. These traits were used in a hierarchical cluster analysis to identify groups of similar ecotypes, and a selection was made of promising ecotypes for multiyear and multisite testing for biomass production. Heritability estimates were significant for all traits. The potential of this ecotype collection as a resource for studies of germplasm diversity and for the analysis of traits underpinning high productivity of A. donax is highlighted.

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Section: Methodsmentioning

confidence: 99%

Characterization of phenology, physiology, morphology and biomass traits across a broad Euro‐Mediterranean ecotypic panel of the lignocellulosic feedstock Arundo donax

Fabbrini

Ludovisi

Alasia³

et al. 2018

GCB Bioenergy

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“…By using Sun et al . 's () approach, we calculated heterochronic parameters of stemwood growth for each growth phase, including the timings of the inflection point ( t I , T I ), maximum acceleration ( t a , T a ) and maximum deceleration ( t d , T d ), the duration of linear growth (∆ t , ∆ T ), the time length between the timings of maximum growth rate from the first to second phase (τ), and the duration of phase change. Because of their impact on the form of development, heterochronic parameters have been used to study the genetic variation of growth trajectories in plants (Jiang et al ., ).…”

Section: Resultsmentioning

confidence: 99%

“…After its integration with functional mapping, it shows unique merits in shedding light on the mechanistic processes of genetic differentiation in growth. We further tested whether the significant SNPs detected are heterochronic genes that determine growth through mediating various components of molecular developmental timing mechanisms (Sun et al 2014;Jiang et al, 2015). Timing is a dimension of developmental regulation that may be difficult to witness from a continuous growth trajectory using conventional genetic tools.…”

Section: Discussionmentioning

confidence: 99%

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A dissection model for mapping complex traits

et al. 2019

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Summary Many quantitative traits are composites of other traits that contribute differentially to genetic variation. Quantitative trait locus (QTL) mapping of these composite traits can benefit by incorporating the mechanistic process of how their formation is mediated by the underlying components. We propose a dissection model by which to map these interconnected components traits under a joint likelihood setting. The model can test how a composite trait is determined by pleiotropic QTLs for its component traits or jointly by different sets of QTLs each responsible for a different component. The model can visualize the pattern of time‐varying genetic effects for individual components and their impacts on composite traits. The dissection model was used to map two composite traits, stemwood volume growth decomposed into its stem height, stem diameter and stem form components for Euramerican poplar adult trees, and total lateral root length constituted by its average lateral root length and lateral root number components for Euphrates poplar seedlings. We found the pattern of how QTLs for different components contribute to phenotypic variation in composite traits. The detailed understanding of the genetic machineries of composite traits will not only help in the design of molecular breeding in plants and animals, but also shed light on the evolutionary processes of quantitative traits under natural selection.

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“…Several QTLs were found to affect stem height-diameter ratio in poplar (Wu, 1998). Similar stem form QTLs were identified in Salix (Tsarouhas et al, 2002) and mei, an ornamental woody plant (Sun et al, 2014). However, these studies were based on the static measure of stem form, which has two limitations.…”

Section: Introductionmentioning

confidence: 99%

Computational identification of genes modulating stem height–diameter allometry

Jiang

Zhu

et al. 2016

Plant Biotechnology Journal

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SummaryThe developmental variation in stem height with respect to stem diameter is related to a broad range of ecological and evolutionary phenomena in trees, but the underlying genetic basis of this variation remains elusive. We implement a dynamic statistical model, functional mapping, to formulate a general procedure for the computational identification of quantitative trait loci (QTLs) that control stem height–diameter allometry during development. Functional mapping integrates the biological principles underlying trait formation and development into the association analysis of DNA genotype and endpoint phenotype, thus providing an incentive for understanding the mechanistic interplay between genes and development. Built on the basic tenet of functional mapping, we explore two core ecological scenarios of how stem height and stem diameter covary in response to environmental stimuli: (i) trees pioneer sunlit space by allocating more growth to stem height than diameter and (ii) trees maintain their competitive advantage through an inverse pattern. The model is equipped to characterize ‘pioneering’ QTLs (pi QTLs) and ‘maintaining’ QTLs (mi QTLs) which modulate these two ecological scenarios, respectively. In a practical application to a mapping population of full‐sib hybrids derived from two Populus species, the model has well proven its versatility by identifying several pi QTLs that promote height growth at a cost of diameter growth and several mi QTLs that benefit radial growth at a cost of height growth. Judicious application of functional mapping may lead to improved strategies for studying the genetic control of the formation mechanisms underlying trade‐offs among quantities of assimilates allocated to different growth parts.

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Genetic control of juvenile growth and botanical architecture in an ornamental woody plant, Prunus mumeSieb. et Zucc. as revealed by a high-density linkage map

Cited by 30 publications

References 32 publications

Characterization of phenology, physiology, morphology and biomass traits across a broad Euro‐Mediterranean ecotypic panel of the lignocellulosic feedstock Arundo donax

Characterization of phenology, physiology, morphology and biomass traits across a broad Euro‐Mediterranean ecotypic panel of the lignocellulosic feedstock Arundo donax

A dissection model for mapping complex traits

Computational identification of genes modulating stem height–diameter allometry

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