水稻产量及其组成部分对CO2升高响应的QTL

Gui-Zhi Fan, Qing-Sheng Cai, Chun-Ming Wang, Jian-Min Wan, Jian-Guo Zhu
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引用次数: 0

摘要

FACE(自由空气二氧化碳富集)技术可能提供一种方法,通过这种方法可以修改植物生长周围的环境,以真实地模拟未来大气中二氧化碳的浓度。FACE能促进植物的生长和产量。确定影响产量及其组成的基因组区域,将有助于了解植物对CO2环境变化积极响应的遗传机制,培育出适应未来大气CO2富集环境的高产品种。利用粳稻(Asominori)背景的65个籼稻(IR24)染色体片段代换系(CSSLs)及其亲本作图群体,在田间试验中检测了FACE(高于当前水平200微mol CO2/mol)和当前CO2浓度(环境,约370微mol CO2/mol)条件下单株可育分蘖数(FT)、千粒重(TGW)、每穗粒数(GP)和单株籽粒产量(GY)及其组成部分的qtl。结果表明,FACE处理下双亲的GY、GP和FT均显著大于Ambient处理下;在FACE和Ambient两种条件下,CSSLs群体均存在这4个性状的海侵分离现象。在1、2、4、6、7、9和12号染色体上共检测到与4个性状相关的20个qtl,其LOD (log10 -似然比)范围为2.5 ~ 5.7。FACE和Ambient均检测到3个qtl。然而,其他qtl仅在一个CO2水平下检测到,这表明这些位点对CO2浓度敏感。此外,还发现了两个QTL qFT12和qGP4,它们与QTL与环境(QE)相互作用有关。因此,通过标记辅助选择提高CO2胁迫下水稻产量的可能性较大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QTL for yield and its components responded to elevated CO2 in rice (Oryza sativa L.).

FACE (free air carbon dioxide enrichment) technology may provide a means by which the environment around growing plants can be modified to realistically simulate the concentration of atmospheric CO2 in the future. The plant growth and its yield of plant species can be enhanced under FACE. Identification of genomic regions influencing the response of yield and its components to elevated CO2 will be useful for understanding the genetics of active response to changed CO2 environment and developing higher yield cultivars, which will be adapted to future enriched atmospheric CO2 environment. A mapping population of 65 indica (IR24) chromosome segment substitution lines (CSSLs) in japonica (Asominori) background and their parents were used to detect QTLs for yield and its components, e. g. number of fertile tillers per plant (FT), 1000-grain weight (TGW), number of grains per panicle (GP) and grain yield per plant (GY) under FACE (200 micromol CO2/mol above current levels) and current CO2 concentration (Ambient, about 370 micromol CO2/mol) in the field experiment. The results showed that, GY, GP and FT of two parents under FACE were significant greater than that under Ambient. The transgressive segregation of the four traits was observed in the CSSLs population under both FACE and Ambient. A total of 20 QTLs for the four traits were detected on chromosome 1, 2, 4, 6, 7, 9 and 12 with LOD (Log10-likelihood ratio) of QTLs ranging from 2.5 to 5.7. Three QTLs were detected under both FACE and Ambient. However,other QTLs were detected only under one level of CO2, which indicated that these loci were sensitive to CO2 concentration. Additionally, two QTLs qFT12 and qGP4 were found for the QTL x Environment (QE) interaction effects. It is suggested that there is a high possibility to improve the yield of rice under elevated CO2 through marker-assisted selection.

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