Comparative osteohistology of Hesperornis with reference to pygoscelid penguins: The effects of climate and behaviour on avian bone microstructure (project)

10.7934/p1270 ◽  
2014 ◽  
Author(s):  
E Wilson ◽  
C Chin
2014 ◽  
Vol 1 (3) ◽  
pp. 140245 ◽  
Author(s):  
Laura E. Wilson ◽  
Karen Chin

The broad biogeographic distribution of Hesperornis fossils in Late Cretaceous Western Interior Seaway deposits has prompted questions about whether they endured polar winters or migrated between mid- and high latitudes. Here, we compare microstructures of hesperornithiform long bones from Kansas and the Arctic to investigate whether migration or Late Cretaceous polar climate affected bone growth. We also examine modern penguin bones to determine how migration and climate may influence bone growth in birds with known behaviours. Histological analysis of hesperornithiform samples reveals continuous bone deposition throughout the cortex, plus an outer circumferential layer in adults. No cyclic growth marks, zonation or differences in vasculature are apparent in the Hesperornis specimens. Comparatively, migratory Adélie and chinstrap penguin bones show no zonation or changes in microstructure, suggesting that migration is not necessarily recorded in avian bone microstructure. Non-migratory gentoos show evidence of rapid bone growth possibly associated with increased chick growth rates in high-latitude populations and large body size. The absence of histological evidence for migration in extinct Hesperornis and extant pygoscelid penguins may reflect that these birds reached skeletal maturity before migration or overwintering. This underscores the challenges of using bone microstructure to infer the effects of behaviour and climate on avian growth.


Life Sciences ◽  
2021 ◽  
pp. 119450
Author(s):  
Fernanda Batista de Souza ◽  
Rômulo Dias Novaes ◽  
Cynthia Fernandes Ferreira Santos ◽  
Franciele Angelo de Deus ◽  
Felipe Couto Santos ◽  
...  

2011 ◽  
Vol 88 (6) ◽  
pp. 455-463 ◽  
Author(s):  
Chwan-Li Shen ◽  
Jay J. Cao ◽  
Raul Y. Dagda ◽  
Thomas E. Tenner ◽  
Ming-Chien Chyu ◽  
...  

2010 ◽  
Vol 128 (5) ◽  
pp. 3181-3189 ◽  
Author(s):  
Katsunori Mizuno ◽  
Hiroki Somiya ◽  
Tomohiro Kubo ◽  
Mami Matsukawa ◽  
Takahiko Otani ◽  
...  

2012 ◽  
Vol 27 (3) ◽  
pp. 637-644 ◽  
Author(s):  
Kristy M Nicks ◽  
Shreyasee Amin ◽  
Elizabeth J Atkinson ◽  
B Lawrence Riggs ◽  
L Joseph Melton ◽  
...  

2021 ◽  
Author(s):  
Wanyu Li ◽  
Jun Xu ◽  
Shunan Zhang ◽  
Han Guo ◽  
Jianqi Sun ◽  
...  

Abstract Background: As the gold standard for clinical osteoporosis diagnosis, bone mineral density has significant limitations in bone strength assessment and fracture risk prediction. The purpose of this study is to explore a new osteoporotic bone quality evaluation criteria from both diagnosis site selection and bone strength prediction. Methods: Ovariectomized rats with different intensity swimming therapy were investigated in this study. The lumbar vertebrae and femurs of all the rats were scanned by synchrotron radiation computed tomography. Bone microstructure analysis and finite element analysis were combined to obtain bone microstructure parameters and estimated bone strength. And the sensitivity of different skeletal sites to therapy was explored. An elastic network regression model was established to predict bone strength by integrating additional bone microstructure characteristics besides bone mass.Results: Histomorphometry analysis showed that swimming therapy could reduce the risk of osteoporosis of lumbar vertebrae and femur and suggested that the femur might be a more suitable site for osteoporosis diagnosis and efficacy evaluation than the lumbar vertebrae. The average coefficient of determination and average root mean squared error of our predictive model were 0.774 and 0.110. Bland-Altman analysis showed that our model could be a good alternative to the finite element method. Conclusions: The present study developed a machine learning model for prediction of bone strength of osteoporosis model based on synchrotron x-ray imaging and demonstrated that different skeletal sites had different sensitivity to therapy, which is of great significance for the early diagnosis of osteoporosis, the prevention of fractures and the monitoring of therapy.


2021 ◽  
Author(s):  
Ellianna H Zack ◽  
Stephanie M Smith ◽  
Kenneth D Angielczyk

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