Rae Anne M, Street Nathaniel Robert, Robinson Kathryn Megan, Harris Nicole, Taylor Gail
School of Biological Sciences, University of Southampton, Bassett Crescent East, Southampton, UK.
BMC Plant Biol. 2009 Feb 26;9:23. doi: 10.1186/1471-2229-9-23.
Concern over land use for non-food bioenergy crops requires breeding programmes that focus on producing biomass on the minimum amount of land that is economically-viable. To achieve this, the maximum potential yield per hectare is a key target for improvement. For long lived tree species, such as poplar, this requires an understanding of the traits that contribute to biomass production and their genetic control. An important aspect of this for long lived plants is an understanding of genetic interactions at different developmental stages, i.e. how genes or genetic regions impact on yield over time.
QTL mapping identified regions of genetic control for biomass yield. We mapped consistent QTL across multiple coppice cycles and identified five robust QTL hotspots on linkage groups III, IV, X, XIV and XIX, calling these 'Poplar Biomass Loci' (PBL 1-5). In total 20% of the variation in final harvest biomass yield was explained by mapped QTL. We also investigated the genetic correlations between yield related traits to identify 'early diagnostic' indicators of yield showing that early biomass was a reasonable predictor of coppice yield and that leaf size, cell number and stem and sylleptic branch number were also valuable traits.
These findings provide insight into the genetic control of biomass production and correlation to 'early diagnostic' traits determining yield in poplar SRC for bioenergy. QTL hotspots serve as useful targets for directed breeding for improved biomass productivity that may also be relevant across additional poplar hybrids.
对非粮食生物能源作物土地利用的担忧要求育种计划专注于在经济上可行的最小土地面积上生产生物质。为实现这一目标,每公顷的最大潜在产量是改良的关键目标。对于杨树等长寿树种而言,这需要了解有助于生物质生产的性状及其遗传控制。对于长寿植物来说,这其中的一个重要方面是了解不同发育阶段的基因相互作用,即基因或遗传区域如何随时间影响产量。
数量性状位点(QTL)定位确定了生物质产量的遗传控制区域。我们在多个平茬周期中绘制了一致的QTL,并在连锁群III、IV、X、XIV和XIX上确定了五个稳健的QTL热点,将这些称为“杨树生物质位点”(PBL 1-5)。定位的QTL总共解释了最终收获生物质产量中20%的变异。我们还研究了产量相关性状之间的遗传相关性,以确定产量的“早期诊断”指标,结果表明早期生物质是平茬产量的合理预测指标,并且叶大小、细胞数量以及茎和萌条数量也是有价值的性状。
这些发现为杨树短轮伐期人工林生物能源产量的遗传控制以及与决定产量的“早期诊断”性状的相关性提供了见解。QTL热点可作为定向育种的有用目标,以提高生物质生产力,这可能也适用于其他杨树杂交品种。