Liu Xiaohui, Fan Yun, Mak Michelle, Babla Mohammad, Holford Paul, Wang Feifei, Chen Guang, Scott Grace, Wang Gang, Shabala Sergey, Zhou Meixue, Chen Zhong-Hua
School of Science and Health, Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia.
School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China.
BMC Genomics. 2017 Jan 3;18(1):9. doi: 10.1186/s12864-016-3380-0.
Stomata regulate photosynthesis and transpiration, and these processes are critical for plant responses to abiotic stresses such as salinity. A barley double haploid population with 108 lines derived from a cross between CM72 (salt-tolerant) and Gairdner (salt-sensitive) was used to detect quantitative trait loci (QTLs) associated with stomatal and photosynthetic traits related to salinity tolerance.
A total of 11 significant QTLs (LOD > 3.0) and 11 tentative QTLs (2.5 < LOD < 3.0) were identified. These QTLs are distributed on all the seven chromosomes, except 5H and explain 9.5-17.3% of the phenotypic variation. QTLs for biomass, intercellular CO concentration, transpiration rate and stomatal conductance under control conditions co-localised together. A QTL for biomass also co-located with one for transpiration rate under salinity stress. A linkage was found between stomatal pore area and gas exchange. A QTL for salinity tolerance also co-localised with QTLs for grain yield and biomass on chromosome 3H. Based on the draft barley genome, the candidate genes for salinity tolerance at this locus are proposed.
The lack of major QTLs for gas exchange and stomatal traits under control and saline conditions indicates a complex relationship between salinity and leaf gas exchange due to the fact that these complex quantitative traits are under the control of multiple genes.
气孔调节光合作用和蒸腾作用,这些过程对于植物应对盐度等非生物胁迫至关重要。利用一个由CM72(耐盐)和加德纳(盐敏感)杂交产生的包含108个株系的大麦双单倍体群体,检测与耐盐性相关的气孔和光合性状的数量性状位点(QTL)。
共鉴定出11个显著QTL(LOD > 3.0)和11个暂定QTL(2.5 < LOD < 3.0)。这些QTL分布在除5H外的所有七条染色体上,解释了9.5 - 17.3%的表型变异。在对照条件下,生物量、细胞间CO浓度、蒸腾速率和气孔导度的QTL共定位在一起。在盐胁迫下,一个生物量QTL也与一个蒸腾速率QTL共定位。发现气孔面积与气体交换之间存在联系。一个耐盐QTL也与3H染色体上的籽粒产量和生物量QTL共定位。基于大麦基因组草图,提出了该位点耐盐性的候选基因。
在对照和盐胁迫条件下,气体交换和气孔性状缺乏主要QTL,这表明盐度与叶片气体交换之间存在复杂关系,因为这些复杂的数量性状受多个基因控制。