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. 2020 Jul 7;15(7):e0235617. doi: 10.1371/journal.pone.0235617

Table 4. Relationship between mRNA abundance of specific genes in eggs and embryos at selected sampling points and offspring quality parameters for the two treatments (CPE and SPE) in European eel, Anguilla anguilla, including best fitting equation and significance levels for genes, where a significant effect was found for at least one of the treatments.

CPE SPE
Gene Function Relative abundance Quality parameter Equation R2 p-value Equation R2 p-value
dicer1 microRNA regulation 2 hpf Cleavage abnormalities Y = 52.67–5.57x 0.002 0.876 Y = 94.24–60.74x 0.338 0.023
epcam cell adhesion 2 hpf Cleavage abnormalities Y = 67.28–9.22x 0.357 0.024 Y = 24.95–0.30x 0.004 0.831
zar1 MZT 2 hpf Cleavage abnormalities Y = 76.42–31.82x 0.149 0.155 Y = 62.07–35.30x 0.324 0.034
zar1 MZT 8 hpf Survival (48 hpf) Y = -7.26+44.41x 0.326 0.042 Y = -15.3+47.07x 0.350 0.020
sox2 MZT 8 hpf Survival (48 hpf) Y = 15.83+3.61x 0.729 0.0002 Y = 7.89+17.17x 0.697 0.0004
foxr1 cell division 8 hpf Survival (48 hpf) Y = -23.32+45.92x 0.265 0.072 Y = -56.24+75.42x 0.495 0.003
cldnd cell adhesion 8 hpf Survival (48 hpf) Y = 0.75+41.59x 0.104 0.282 Y = -68.68+134.63x 0.364 0.017
phb2 normal mitochondrial function 8 hpf Survival (48 hpf) Y = -24.82+44.64x 0.204 0.122 Y = -32.78+49.99x 0.269 0.047
neurod4 Neurogenesis 8 hpf Survival (48 hpf) Y = 20.60+0.96x 0.419 0.017 Y = 12.89+3.21x-0.04x2 0.516 0.013
neurog1 Neurogenesis 8 hpf Survival (48 hpf) Y = 11.43+1.56x 0.672 0.0006 Y = 13.35+4.16x-0.05x2 0.509 0.014
Ccna1 cell cycle control 32 hpf Hatch success Y = 5.70+379.13x-478.20x2 0.524 0.024 Y = 21.41+88.96x 0.408 0.025
npm2 nuclear organization 32 hpf Hatch success Y = 32.02–19.88x 0.040 0.509 Y = 11.19+151.72x 0.473 0.013
oct4 MZT 32 hpf Hatch success Y = -5.12+545.65x-513.65x2 0.498 0.032 Y = 21.11+115.98x 0.357 0.040
neurod4 Neurogenesis 32 hpf Hatch success Y = 69.93–0.009x 0.048 0.473 Y = 82.06–0.03x+0.01x2 0.605 0.015
neurog1 Neurogenesis 32 hpf Hatch success Y = 25.03+0.004x 0.00 0.931 Y = 93.25–0.09x 0.601 0.003