Genetic variation in spontaneous ovulation rate and LH receptor induction in mice

in Reproduction
Authors:
J. L. Spearow
Search for other papers by J. L. Spearow in
Current site
Google Scholar
PubMed Close
and
G. E. Bradford
Search for other papers by G. E. Bradford in
Current site
Google Scholar
PubMed Close
DOI:
https://doi.org/10.1530/jrf.0.0690529
Volume/Issue:
Volume 69: Issue 2
Page Range:
529–537
Article Type:
Research Article
Online Publication Date:
Nov 1983
Free access

Sign up for journal news

Summary. Selection for litter size (Line SI) and for post-weaning body weight gain (Line G) increased spontaneous ovulation rate in mature females by 69 and 73%, respectively, over that of randomly bred control mice (Line C). Inbreeding from S1 mice with selection for litter size produced highly inbred lines with elevated ovulation rates. Inbreeding from Line C mice produced a 21% divergence among lines, but did not depress the mean ovulation rate. Crosses of these lines revealed little heterosis in ovulation rate. LH receptors were induced by treating females from 22 days of age with diethylstilboestrol for 4 days and FSH for 2 days. The in-vitro binding of 1 25I-labelled hCG per μg DNA decreased 56% in response to selection for litter size and increased 57% in response to selection for body weight gain, indicating high susceptibility of this trait to genetic change. Inbreeding from Line C mice produced a 135% divergence amongst lines, but did not depress the mean LH receptor induction. Body weight had significant effects on ovulation rate and LH receptor induction.

These results show that selection for litter size and for rapid post-weaning body weight gain increases ovulation rate, but we suggest that different mechanisms are involved in these responses.

Reproduction is committed to supporting researchers in demonstrating the impact of their articles published in the journal.

The two types of article metrics we measure are (i) more traditional full-text views and pdf downloads, and (ii) Altmetric data, which shows the wider impact of articles in a range of non-traditional sources, such as social media.

More information is on the Reasons to publish page.

Sept 2018 onwards Past Year Past 30 Days
Full Text Views 269 35 0
PDF Downloads 81 27 0

 

  • Collapse
  • Expand
Print ISSN:
1470-1626
Online ISSN:
1741-7899