Soltani Ali, MafiMoghaddam Samira, Oladzad-Abbasabadi Atena, Walter Katelynn, Kearns Patrick J, Vasquez-Guzman Jose, Mamidi Sujan, Lee Rian, Shade Ashley L, Jacobs Janette L, Chilivers Martin I, Lowry David B, McClean Phillip, Osorno Juan M
Department of Plant Sciences, North Dakota State University, Fargo, ND, United States.
Plant Resilience Institute, Michigan State University, East Lansing, MI, United States.
Front Plant Sci. 2018 Jun 6;9:767. doi: 10.3389/fpls.2018.00767. eCollection 2018.
Climate change models predict temporal and spatial shifts in precipitation resulting in more frequent incidents of flooding, particularly in regions with poor soil drainage. In these flooding conditions, crop losses are inevitable due to exposure of plants to hypoxia and the spread of root rot diseases. Improving the tolerance of bean cultivars to flooding is crucial to minimize crop losses. In this experiment, we evaluated the phenotypic responses of 277 genotypes from the Andean Diversity Panel to flooding at germination and seedling stages. A randomized complete block design, with a split plot arrangement, was employed for phenotyping germination rate, total weight, shoot weight, root weight, hypocotyl length, SPAD index, adventitious root rate, and survival score. A subset of genotypes ( = 20) were further evaluated under field conditions to assess correlations between field and greenhouse data and to identify the most tolerant genotypes. A genome-wide association study (GWAS) was performed using ~203 K SNP markers to understand the genetic architecture of flooding tolerance in this panel. Survival scores between field and greenhouse data were significantly correlated ( = 0.55, = 0.01). Subsequently, a subset of the most tolerant and susceptible genotypes were evaluated under pathogenic spp. pressure. This experiment revealed a potential link between flooding tolerance and spp. resistance. Several tolerant genotypes were identified that could be used as donor parents in breeding pipelines, especially ADP-429 and ADP-604. Based on the population structure analysis, a subpopulation consisting of 20 genotypes from the Middle American gene pool was detected that also possessed the highest root weight, hypocotyl length, and adventitious root development under flooding conditions. Genomic regions associated with flooding tolerance were identified including a region on Pv08/3.2 Mb, which is associated with germination rate and resides in vicinity of , a central gene involved in response of plants to hypoxia. Furthermore, a QTL at Pv07/4.7 Mb was detected that controls survival score of seedlings under flooding conditions. The association of these QTL with the survivability traits including germination rate and survival score, indicates that these loci can be used in marker-assisted selection breeding to improve flooding tolerance in the Andean germplasm.
气候变化模型预测降水的时空变化将导致洪水事件更加频繁,尤其是在土壤排水不良的地区。在这些洪水条件下,由于植物遭受缺氧以及根腐病的传播,作物损失不可避免。提高豆类品种的耐淹性对于最大限度减少作物损失至关重要。在本实验中,我们评估了安第斯多样性面板中277个基因型在萌发和幼苗期对洪水的表型反应。采用随机完全区组设计和裂区排列来对发芽率、总重量、地上部重量、根部重量、下胚轴长度、SPAD指数、不定根率和存活评分进行表型分析。对一部分基因型(n = 20)在田间条件下进行了进一步评估,以评估田间数据与温室数据之间的相关性,并鉴定出最耐淹的基因型。利用约203K个单核苷酸多态性(SNP)标记进行全基因组关联研究(GWAS),以了解该面板中耐淹性的遗传结构。田间数据和温室数据的存活评分显著相关(r = 0.55,P = 0.01)。随后,对一部分最耐淹和最敏感的基因型在致病疫霉压力下进行了评估。该实验揭示了耐淹性与疫霉抗性之间的潜在联系。鉴定出了几个耐淹基因型,它们可作为育种管道中的供体亲本,特别是ADP - 429和ADP - 604。基于群体结构分析,检测到一个由来自中美洲基因库的二十个基因型组成的亚群,该亚群在洪水条件下也具有最高的根重、下胚轴长度和不定根发育。鉴定出了与耐淹性相关的基因组区域,包括位于Pv08/3.2 Mb的一个区域,该区域与发芽率相关,且位于一个参与植物对缺氧反应的核心基因附近。此外,在Pv07/4.7 Mb处检测到一个控制洪水条件下幼苗存活评分的数量性状位点(QTL)。这些QTL与包括发芽率和存活评分在内的存活性状的关联表明,这些位点可用于标记辅助选择育种,以提高安第斯种质的耐淹性。