How to display 0 on a log-transformed y axis ?

Hi everyone !
On an actual dataset (that comports some point y = 0) where the values can be far from each other (especially for a category) I would like to represent them on a log-transformed axis (log10).
I correctly work with the next code :

ggplot(data, aes(x=organ, y=loadcox, fill=sex)) +
  geom_dotplot(binaxis='y', stackdir='center', position=position_dodge(0.8)) +

However, the point with y=0 are not display..
Can anyone already have the same issue ?
Is it because this function scale_y_continuous(trans) not allowed the 0 (due to the fact that log(0) is not defined) ?

Thanks in advance

It makes sense to me that if as you say log(0) is undefined, then it is not going to be plotable

you could fake it, but it wouldnt be 'true'

data <- iris %>% select(Sepal.Length,Sepal.Width,Species)
## add some zeros to Sepal.Width
data <- bind_rows(data,

ggplot(data, aes(x=Sepal.Length, y=Sepal.Width, fill=Species)) +
  geom_dotplot(binaxis='y', stackdir='center', position=position_dodge(0.8)) +
  scale_y_continuous(trans='log10' , limits = c(10^-4,5) , breaks=c(10^-4,1:5),

Where would you expect it to be plotted?
Zero is near 10e-10 and therefore it should be plotted near -10,
but also near 10e-20 and therefore ...
Use a different transformation e.g log(1+x)

The data transformation by log(0.001 +x) worked ! Thank you !
By I think the data are tricky anyway to correctly to visualize because indeed the majority is very small and the others are very large.
Thanks everyone !

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When I directly transformed my data and plot I agree, as 0 is not defined it is not display.
But with the axis transformation I expected that only the presentation of my data was changed and so the 0 was not affected and could be correctly plot.
I clearly see the differences on the y axis value between the log transformation of my data (values : -10 -> 0) and the transformation of the axis (values : 0.00005 -> 0.2).

I tried a log(1+x) transformation. Here the 0 were plot but I loose the interest of a data transformation because the plot looked very similar to the one without transformation, the data were squashed due to the high values.

what scale are your values ? are they small before the transform so that '1' is relatively large against them ?
transform by log(0.001 + x) ... ?