Natural variation in chalcone isomerase defines a major locus controlling radial stem growth variation among Populus nigra populations

Poplar is a promising resource for wood production and the development of lignocellulosic biomass, but currently available varieties have not been optimized for these purposes. Therefore, it is critical to investigate the genetic variability and mechanisms underlying traits that affect biomass yield. Previous studies have shown that target traits in different poplar species are complex, with a small number of genetic factors having relatively low effects compared to medium to high heritability. In this study, a systems biology approach was implemented, combining genomic, transcriptomic, and phenotypic information from a large collection of individuals from natural populations of black poplar from Western Europe. Such an approach identified a QTL and a gene, coding for chalcone isomerase (CHI), as a candidate for controlling radial growth. Additionally, analysis of the structure and diversity of traits as well as CHI gene expression revealed a high allelic fixation index, linked to the geographical origin of the natural populations under study. These findings provide insights into how adaptive traits arise, are selected, and maintained in the populations. Overall, this study contributes to enhancing the use of poplar as a valuable resource for sustainable biomass production.

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Publication Details

Journal
Peer Community Journal
Published
2025-05-15
DOI
https://doi.org/10.24072/pcjournal.559
Primary Topic
Plant Reproductive Biology
Type
article
Field-Weighted Citation Impact
0.00

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article

Natural variation in chalcone isomerase defines a major locus controlling radial stem growth variation among Populus nigra populations

Marie Pégard, Odile Rogier, Harold Duruflé, Gilles Pilate et al.
Peer Community Journal
Plant Reproductive Biology
article

Natural variation in chalcone isomerase defines a major locus controlling radial stem growth variation among Populus nigra populations

Marie Pégard, Odile Rogier, Harold Duruflé, Gilles Pilate, Leopoldo Sánchez, Annabelle Déjardin, Vincent Segura, Véronique Jorge
article en

Abstract

Poplar is a promising resource for wood production and the development of lignocellulosic biomass, but currently available varieties have not been optimized for these purposes. Therefore, it is critical to investigate the genetic variability and mechanisms underlying traits that affect biomass yield. Previous studies have shown that target traits in different poplar species are complex, with a small number of genetic factors having relatively low effects compared to medium to high heritability. In this study, a systems biology approach was implemented, combining genomic, transcriptomic, and phenotypic information from a large collection of individuals from natural populations of black poplar from Western Europe. Such an approach identified a QTL and a gene, coding for chalcone isomerase (CHI), as a candidate for controlling radial growth. Additionally, analysis of the structure and diversity of traits as well as CHI gene expression revealed a high allelic fixation index, linked to the geographical origin of the natural populations under study. These findings provide insights into how adaptive traits arise, are selected, and maintained in the populations. Overall, this study contributes to enhancing the use of poplar as a valuable resource for sustainable biomass production.

Peer Community JournalVol. 5
Université d'Orléans (FR), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR), Université de Montpellier (FR), Institut Agro Montpellier (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (FR), Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (FR), L'Institut Agro (FR)
Agence Nationale de la Recherche, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Openalex Percentile: Top 90%
Plant Reproductive Biology
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