| Genomics Mechanisms of Carbon Allocation and Partitioning in Poplar | |
| Kirst, Matias ; Peter, Gary ; Martin, Timothy | |
| 关键词: Populus; carbon partitioning; carbon sequestration; carbon allocation; | |
| DOI : 10.2172/961672 RP-ID : DOE/ER/64114-1 PID : OSTI ID: 961672 |
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| 学科分类:环境科学(综合) | |
| 美国|英语 | |
| 来源: SciTech Connect | |
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【 摘 要 】
The genetic control of carbon allocation and partitioning in woody perennial plants is poorly understood despite its importance for carbon sequestration. It is also unclear how environmental cues such as nitrogen availability impact the genes that regulate growth, and biomass allocation and wood composition in trees. To address these questions we phenotyped 396 clonally replicated genotypes of an interspecific pseudo-backcross pedigree of Populus for wood composition and biomass traits in above and below ground organs. The loci that regulate growth, carbon allocation and partitioning under two nitrogen conditions were identified, defining the contribution of environmental cues to their genetic control. Fifty-seven quantitative trait loci (QTL) were identified for twenty traits analyzed. The majority of QTL are specific to one of the two nitrogen treatments, demonstrating significant nitrogen-dependent genetic control. A highly significant genetic correlation was observed between plant growth and lignin/cellulose composition, and QTL co-localization identified the genomic position of potential pleiotropic regulators. Gene expression analysis of all poplar genes was also characterized in differentiating xylem, whole-roots and developing leaves of 192 of the segregating population. By integrating the QTL and gene expression information we identified genes that regulate carbon partitioning and several biomass growth related properties. The work developed in this project resulted in the publication of three book chapters, four scientific articles (three others currently in preparation), 17 presentations in international conferences and two provisional patent applications.
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| Files | Size | Format | View |
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| RO201705170001466LZ | 1152KB |
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