BMC Genomics · 2019 · 79 citations · 49 references
Life SciencesGeneticsPlant SciencesCrop ImprovementPlant GeneticsPlant GenomicsAgronomic Trait EvaluationGene MappingPlant Breeding GeneticsQuantitative Trait LociQuantitative Trait Loci MappingAnaerobic Germination ToleranceAnaerobic Soil ConditionsCroppingGenetic Mapping PopulationsHigh-density Genetic MappingHigh-density Genetic MapsHigh-density MappingStress Tolerance Qtl Mapping
BACKGROUND: Anaerobic germination tolerance is an important trait for direct-seeded rice varieties. Understanding the genetic basis of anaerobic germination is a key for breeding direct-seeded rice varieties. RESULTS: In this study, a recombinant inbred line (RIL) population derived from a cross between YZX and 02428 exhibited obvious coleoptile phenotypic differences. Mapping analysis using a high-density bin map indicated that a total of 25 loci were detected across two cropping seasons, including 10 previously detected loci and a total of 13 stable loci. Analysis of the 13 stable loci demonstrated that the more elite alleles that were pyramided in an individual, the higher the values of these traits were in the two cropping seasons. Furthermore, some anaerobic germination-tolerant recombinant inbred lines, namely G9, G10, G16, and G151, were identified. A total of 84 differentially expressed genes were obtained from the 13 stable loci via genome-wide expression analysis of the two parents at three key periods. Among them, Os06g0110200, Os07g0638300, Os07g0638400, Os09g0532900, Os09g0531701 and Os12g0539751 constitute the best candidates associated with anaerobic germination. CONCLUSIONS: Both the anaerobic germination-tolerant recombinant inbred lines and the loci identified in this study will provide new genetic resources for improving the anaerobic germination tolerance of rice using molecular breeding strategies, as well as will broaden our understanding of the genetic control of germination tolerance under anaerobic conditions.
49
Cytoscape 2.8: new features for data integration and network visualization
Michael Smoot, Keiichiro Ono, Johannes Ruscheinski et al. · Bioinformatics · 2010 · 5K citations · Full text
Active oxygen species and antioxidants in seed biology
Christophe Bailly · Seed Science Research · 2004 · 1.1K citations