Although the relative deviation of regional total SOC changes for most soil maps are low, disparities exist among SOC changes for different soil groups (i.e. 4.8 to 981%) and for administrative areas level (i.e. 0.32 to 151%).
However, these maps are low resolution, and the genetic systems they underpin are limited in utility due to biological barriers, such as the obligate outcrossing reproductive mode and inbreeding depression of the nematode species used.
We observed consistent patterns of empirically determined bpp between flowcells using the same flowcell model and chemistry when signal-to-noise ratios are optimal and the degree of genomic divergence between the samples used for the in silico maps and molecule maps are low (Additional file 1).
All maps are low-pass filtered to 18 Å resolution, corresponding the estimated resolution of the N255K reconstructions.
However, most of these maps are low-density genetic maps based on low-throughput molecular markers such as restriction fragment length polymorphism (RFLP), amplified fragment length polymorphism (AFLP), and simple sequence repeat (SSR) markers.
The overall difference ratios in genetic distance between the TAMU-ARS map and the five other maps were low and varied from 0.0045 (S4) to 0.12 (S5) and were comparable with a recent study [ 27] that calculated a difference ratio of 0.05 between two sorghum maps.
The resolution of the final density maps were estimated to be 25 Å using Fourier shell correlation (FSC) and the FSC = 0.5 cut-off criterion [23] (Figure S4), and the density maps were low-pass filtered to that resolution.
Therefore, the accuracy is frequently assumed to be incorrect; moreover, the accuracy of the built map is low.
Whilst the mean arterial pressure (MAP) was stable in the sham groups over the course of experiment, the amount of saline given to achieve the baseline level of MAP was low in these groups.
We argue, though, that the Beavis effect, rather than the true Mendelian nature of the mapped factors, is a likely reason for such conclusions, meaning that when the power of QTL mapping is low, the effects of detected QTLs are strongly overestimated [ 49].
Central tendency of the cortical cluster versus each subgroup lesion probability map was low (central tendency for each subgroup: fast = 0.07, slow = 0.05, and poor = 0.5), indicating very peripheral location of the GMV effect with respect to the necrotic lesion tissue, especially in the fast and slow subgroups (Supplemental Figure S5).
