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No confounders were detected to affect morphology.
In year 2, different QTLs were detected to affect biomass traits (Table 1).
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Using the less stringent dataset, five pathways were detected to be affected, among which the insulin receptor signalling (p = 0.047) (see Figure 3A).
The functional domains of many other wood formation-related genes was also detected to be affected by AS.
Another group of genes that were significantly influenced by LAE1 in this study – but not detected to be affected previously [ 6] – were amino acid transporters.
Three of earlier mentioned pathways were detected to be significantly affected (i.e. insulin receptor signalling [p = 0.025]; IGF-1 [p = 0.006] and PTEN [p = 0.039]; see Figure 3B), and in addition the EGF and Estrogen receptor signalling pathways.
At p < 2.27 × 10-4 threshold (corresponding to p < 0.05 after Bonferroni correction for multiple testing), 76 noise traits were detected to be significantly affected by the strain background.
The remaining eight QTL regions detected were found to affect multiple traits (Table 4).
In brief, within the genetically defined interval, we detected 22 sequence variants predicted to affect protein-coding genes (missense, non-sense or splice-site mutations).
Furthermore, keyboard action and speech during learning were also used as resources to detect learners' affect.
Potentially, the use of the new high-density chip with 600 K SNPs will increase the power to detect genes that affect susceptibility to footrot infection [ 45] especially when combined with partial sequence analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com