Genetic Analysis of Flooding Tolerance in an Andean Diversity Panel of Dry Bean (Phaseolus vulgaris L.)

被引:51
作者
Soltani, Ali [1 ,2 ]
MafiMoghaddam, Samira [1 ,2 ]
Oladzad-Abbasabadi, Atena [1 ]
Walter, Katelynn [1 ]
Kearns, Patrick J. [2 ,3 ]
Vasquez-Guzman, Jose [1 ]
Mamidi, Sujan [4 ]
Lee, Rian [1 ]
Shade, Ashley L. [2 ,3 ,5 ]
Jacobs, Janette L. [5 ]
Chilivers, Martin I. [5 ]
Lowry, David B. [2 ,6 ]
McClean, Phillip [1 ]
Osorno, Juan M. [1 ]
机构
[1] North Dakota State Univ, Dept Plant Sci, Fargo, ND 58105 USA
[2] Michigan State Univ, Plant Resilience Inst, E Lansing, MI 48824 USA
[3] Michigan State Univ, Dept Microbiol & Mol Genet, E Lansing, MI 48824 USA
[4] HudsonAlpha Inst Biotechnol, Genome Sequencing Ctr, Huntsville, AL USA
[5] Michigan State Univ, Dept Plant Soil & Microbial Sci, E Lansing, MI 48824 USA
[6] Michigan State Univ, Dept Plant Biol, E Lansing, MI 48824 USA
关键词
common bean; flooding; abiotic stress; anoxia; waterlogging; GWAS; BULKED SEGREGANT ANALYSIS; POPULATION-STRUCTURE; SALINITY TOLERANCE; ARABIDOPSIS; GROWTH; ASSOCIATION; RESISTANCE; STRESS; IDENTIFICATION; PHYTOPHTHORA;
D O I
10.3389/fpls.2018.00767
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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 (n = 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 similar to 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 (r = 0.55, P = 0.01). Subsequently, a subset of the most tolerant and susceptible genotypes were evaluated under pathogenic Pythium spp. pressure. This experiment revealed a potential link between flooding tolerance and Pythium 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 Pv08/3.2Mb, which is associated with germination rate and resides in vicinity of SnRK1.1, a central gene involved in response of plants to hypoxia. Furthermore, a QTL at Pv07/4.7Mb 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.
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页数:15
相关论文
共 87 条
[1]  
Aidar H., 2000, ANN REPORT BEAN IMPR, P134
[2]  
[Anonymous], 2011, R: a language and environment for statistical computing, P1
[3]  
[Anonymous], 2017, Web soil survey
[4]  
[Anonymous], 2003, Estimating and Interpreting Heritability for Plant Breeding: An Update, DOI DOI 10.1002/9780470650202.CH2
[5]   Smart Engineering of Genetic Resources for Enhanced Salinity Tolerance in Crop Plants [J].
Arzani, A. ;
Ashraf, M. .
CRITICAL REVIEWS IN PLANT SCIENCES, 2016, 35 (03) :146-189
[6]   GenABEL: an R library for genome-wide association analysis [J].
Aulchenko, Yurii S. ;
Ripke, Stephan ;
Isaacs, Aaron ;
Van Duijn, Cornelia M. .
BIOINFORMATICS, 2007, 23 (10) :1294-1296
[7]   A central integrator of transcription networks in plant stress and energy signalling [J].
Baena-Gonzalez, Elena ;
Rolland, Filip ;
Thevelein, Johan M. ;
Sheen, Jen .
NATURE, 2007, 448 (7156) :938-U10
[8]   Application of in silico bulked segregant analysis for rapid development of markers linked to Bean common mosaic virus resistance in common bean [J].
Bello, Marco H. ;
Moghaddam, Samira M. ;
Massoudi, Mark ;
McClean, Phillip E. ;
Cregan, Perry B. ;
Miklas, Phillip N. .
BMC GENOMICS, 2014, 15
[9]   Response of dry bean genotypes to Fusarium root rot, caused by Fusarium solani f. sp phaseoli, under field and controlled conditions [J].
Bilgi, V. N. ;
Bradley, C. A. ;
Khot, S. D. ;
Grafton, K. F. ;
Rasmussen, J. B. .
PLANT DISEASE, 2008, 92 (08) :1197-1200
[10]   Mesoamerican origin of the common bean (Phaseolus vulgaris L.) is revealed by sequence data [J].
Bitocchi, Elena ;
Nanni, Laura ;
Bellucci, Elisa ;
Rossi, Monica ;
Giardini, Alessandro ;
Zeuli, Pierluigi Spagnoletti ;
Logozzo, Giuseppina ;
Stougaard, Jens ;
McClean, Phillip ;
Attene, Giovanna ;
Papa, Roberto .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2012, 109 (14) :E788-E796