Literature DB >> 15964592

Dissecting the variance-covariance structure in insect physiology: the multivariate association between metabolism and morphology in the nymphs of the sand cricket (Gryllus firmus).

Roberto F Nespolo1, Luis E Castañeda, Derek A Roff.   

Abstract

Energy metabolism in animals has been largely studied in relation to exogenous sources of variation. However, because they give insight into the relationship between whole metabolism and lower organizational levels such as organs and tissues, examination of endogenous determinants of metabolism other than body mass is itself very important. We studied the multivariate association of body parts and several aspects of energy metabolism in an insect, the nymphs of the sand cricket, Gryllus firmus. By using a variety of both univariate and multivariate techniques, we explored the resultant variance-covariance matrix to build a path diagram with latent variables. After controlling for body mass, we found a significant canonical correlation between metabolism and morphology. According to the factor loadings and path coefficients, the most important contributions of morphology to the correlation were thorax and abdomen size measures, whereas the most important metabolic contribution was resting metabolism. Activity metabolism was mostly explained by body mass rather than body parts, which could be a result of resting rates being chronic consequences of the functioning of the metabolic machinery that the insect must maintain.

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Year:  2005        PMID: 15964592     DOI: 10.1016/j.jinsphys.2005.04.006

Source DB:  PubMed          Journal:  J Insect Physiol        ISSN: 0022-1910            Impact factor:   2.354


  2 in total

1.  Estimation of Fitness of Normal and Stylopized Paddy Pest, White Leafhopper Cofana spectra (Distant) (Hemiptera: Cicadellidae), in West Bengal, India through Correlation of Life History Traits.

Authors:  Sangita Mitra; Rupa Harsha; Niladri Hazra; Abhijit Mazumdar
Journal:  Int J Insect Sci       Date:  2014-03-18

2.  A cricket Gene Index: a genomic resource for studying neurobiology, speciation, and molecular evolution.

Authors:  Patrick D Danley; Sean P Mullen; Fenglong Liu; Vishvanath Nene; John Quackenbush; Kerry L Shaw
Journal:  BMC Genomics       Date:  2007-04-25       Impact factor: 3.969

  2 in total

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