How to translate text using browser tools
11 February 2019 A high-throughput method for unbiased quantitation and categorization of nuclear morphology
Benjamin Matthew Skinner, Claudia Cattoni Rathje, Joanne Bacon, Emma Elizabeth Philippa Johnson, Erica Lee Larson, Emily E. K. Kopania, Jeffrey Martin Good, Gullalaii Yousafzai, Nabeel Ahmed Affara, Peter James Ivor Ellis
Author Affiliations +
Abstract

The physical arrangement of chromatin in the nucleus is cell type and species-specific, a fact particularly evident in sperm, in which most of the cytoplasm has been lost. Analysis of the characteristic falciform (“hook shaped”) sperm in mice is important in studies of sperm development, hybrid sterility, infertility, and toxicology. However, quantification of sperm shape differences typically relies on subjective manual assessment, rendering comparisons within and between samples difficult.

We have developed an analysis program for morphometric analysis of asymmetric nuclei and characterized the sperm of mice from a range of inbred, outbred, and wild-derived mouse strains. We find that laboratory strains have elevated sperm shape variability both within and between samples in comparison to wild-derived inbred strains, and that sperm shape in F1 offspring from a cross between CBA and C57Bl6J strains is subtly affected by the direction of the cross. We further show that hierarchical clustering can discriminate distinct sperm shapes with greater efficiency and reproducibility than even experienced manual assessors, and is useful both to distinguish between samples and also to identify different morphological classes within a single sample. Our approach allows for the analysis of nuclear shape with unprecedented precision and scale and will be widely applicable to different species and different areas of biology.

Summary Sentence

Subtle morphological differences in sperm nuclei can be detected with a new analysis technique; in mice, C57Bl6 and CBA crosses are intermediate to their parental shapes, and the direction of the cross matters.

© The Authors 2019. Published by Oxford University Press on behalf of Society for the Study of Reproduction. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Benjamin Matthew Skinner, Claudia Cattoni Rathje, Joanne Bacon, Emma Elizabeth Philippa Johnson, Erica Lee Larson, Emily E. K. Kopania, Jeffrey Martin Good, Gullalaii Yousafzai, Nabeel Ahmed Affara, and Peter James Ivor Ellis "A high-throughput method for unbiased quantitation and categorization of nuclear morphology," Biology of Reproduction 100(5), 1250-1260, (11 February 2019). https://doi.org/10.1093/biolre/ioz013
Received: 9 July 2018; Accepted: 7 February 2019; Published: 11 February 2019
KEYWORDS
fertility
image analysis
Morphometrics
rodents
spermatogenesis
RIGHTS & PERMISSIONS
Get copyright permission
Back to Top