Correlation between enzyme activities and routine metabolic rate in <i>Drosophila</i>

Berrigan, David; Hoàng, Thanh Tùng

doi:10.1046/j.1420-9101.1999.00027.x

Cited by 12 publications

(9 citation statements)

References 22 publications

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“…Accurate measures of metabolic rate require estimates of both O 2 consumption and CO 2 production. CO 2 alone is a valid measure if we assume that the respiratory quotient is 1.0 in all tested species, as previously shown to be true for D. melanogaster (Berrigan & Partridge, 1997;Berrigan & Hoang, 1999).…”

Section: Metabolic Ratementioning

confidence: 82%

Age‐specific metabolic rates and mortality rates in the genusDrosophila

Promislow

Haselkorn

2002

Aging Cell

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SummaryEarly theories of aging suggested that organisms with relatively high metabolic rates would live shorter lives. Despite widespread tests of this 'rate of living' theory of aging, there is little empirical evidence to support the idea. A more fine-grained approach that examined age-related changes in metabolic rate over the life span could provide valuable insight into the relationship between metabolic rate and aging. Here we compare age-related metabolic rate (measured as CO 2 production per hour) and age-related mortality rate among five species in the genus Drosophila . We find no evidence that longer-lived species have lower metabolic rates. In all five species, there is no clear evidence of an age-related metabolic decline. Metabolic rates are strikingly constant throughout the life course, with the exception of females of D. hydei , in which metabolic rates show an increase over the first third of the life span and then decline. We argue that some physiological traits may have been shaped by such strong selection over evolutionary time that they are relatively resistant to the decline in the force of selection that occurs within the life time of a single individual. We suggest that comparisons of specific traits that do not show signs of aging with those traits that do decline with age could provide insight into the aging process.

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Section: Metabolic Ratementioning

confidence: 82%

Age‐specific metabolic rates and mortality rates in the genusDrosophila

Promislow

Haselkorn

2002

Aging Cell

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“…Across Drosophila species, glycolytic enzyme activities are positively correlated with adults’ RMR (Berrigan and Hoang 1999), suggesting that datasets describing change in metabolic pathways and their metabolites may be critical in predicting metabolic rate during ontogeny and in response to the environment. What we do have in D. melanogaster is good evidence that there is significant genetic variation for mass-specific metabolic rate within species (Montooth et al 2003; Hoekstra et al 2013) and that mitochondrial–nuclear genotypes that specifically disrupt mitochondrial function, adversely affect metabolic rates and development of larvae (Hoekstra et al 2013; Meiklejohn et al 2013).…”

Section: Development Of the Underlying Metabolic Systemsmentioning

confidence: 99%

“…In D. melanogaster , we have comprehensive transcriptome profiling of metabolic pathways across larval development, tissues, and environments ( Chintapalli et al 2007 ; Graveley et al 2011 ) and metabolite profiling for larvae of different genotypes (e.g., Tennessen et al 2011 ) and in different environments (e.g., Kostal et al 2011 ); yet, we lack a detailed description of metabolic rate and its scaling with mass throughout ontogeny. Across Drosophila species, glycolytic enzyme activities are positively correlated with adults’ RMR ( Berrigan and Hoang 1999 ), suggesting that datasets describing change in metabolic pathways and their metabolites may be critical in predicting metabolic rate during ontogeny and in response to the environment. What we do have in D. melanogaster is good evidence that there is significant genetic variation for mass-specific metabolic rate within species ( Montooth et al 2003 ; Hoekstra et al 2013 ) and that mitochondrial–nuclear genotypes that specifically disrupt mitochondrial function, adversely affect metabolic rates and development of larvae ( Hoekstra et al 2013 ; Meiklejohn et al 2013 ).…”

Section: Development Of the Underlying Metabolic Systemsmentioning

confidence: 99%

Predicting Performance and Plasticity in the Development of Respiratory Structures and Metabolic Systems

Greenlee¹,

Montooth

Helm

2014

Integrative and Comparative Biology

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The scaling laws governing metabolism suggest that we can predict metabolic rates across taxonomic scales that span large differences in mass. Yet, scaling relationships can vary with development, body region, and environment. Within species, there is variation in metabolic rate that is independent of mass and which may be explained by genetic variation, the environment or their interaction (i.e., metabolic plasticity). Additionally, some structures, such as the insect tracheal respiratory system, change throughout development and in response to the environment to match the changing functional requirements of the organism. We discuss how study of the development of respiratory function meets multiple challenges set forth by the NSF Grand Challenges Workshop. Development of the structure and function of respiratory and metabolic systems (1) is inherently stable and yet can respond dynamically to change, (2) is plastic and exhibits sensitivity to environments, and (3) can be examined across multiple scales in time and space. Predicting respiratory performance and plasticity requires quantitative models that integrate information across scales of function from the expression of metabolic genes and mitochondrial biogenesis to the building of respiratory structures. We present insect models where data are available on the development of the tracheal respiratory system and of metabolic physiology and suggest what is needed to develop predictive models. Incorporating quantitative genetic data will enable mapping of genetic and genetic-by-environment variation onto phenotypes, which is necessary to understand the evolution of respiratory and metabolic systems and their ability to enable respiratory homeostasis as organisms walk the tightrope between stability and change.

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“…In particular, native‐range crabs that experience consistent selection to defend against rhizocephalans may expend more of their available energy on the production of hemocytes, proteins (e.g., phenoloxidase) and other macromolecules needed to mount a successful encapsulation response. Increased enzyme activity has been linked to higher standing metabolic rate across nine species of Drosophila (Berrigan and Hoang ), and a positive correlation between an induced encapsulation response and metabolic rate has been found among multiple species of insects (Ardia et al. ).…”

Section: Discussionmentioning

confidence: 99%

The double edge to parasite escape: invasive host is less infected but more infectable

Keogh

Miura

Nishimura

et al. 2017

Ecology

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Abstract. Nonnative species that escape their native-range parasites may benefit not only from reduced infection pathology, but also from relaxed selection on costly immune defenses, promoting reallocation of resources toward growth or reproduction. However, benefits accruing from a reduction in defense could come at the cost of increased infection susceptibility. We conducted common garden studies of the shore crab Hemigrapsus sanguineus from highly parasitized native (Japan) populations and largely parasite-free invasive (USA) populations to test for differences in susceptibility to infection by native-range rhizocephalan parasites, and to explore differences in host resource allocation. Nonnative individuals showed at least 1.8 times greater susceptibility to infection than their native counterparts, and had reduced standing metabolic rates, suggesting that less of their energy was spent on physiological selfmaintenance. Our results support an indirect advantage to parasite escape via the relaxation of costly physiological defenses. However, this advantage comes at the cost of heightened susceptibility, a trade-off of parasite escape that is seldom considered.

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Correlation between enzyme activities and routine metabolic rate in Drosophila

Cited by 12 publications

References 22 publications

Age‐specific metabolic rates and mortality rates in the genusDrosophila

Age‐specific metabolic rates and mortality rates in the genusDrosophila

Predicting Performance and Plasticity in the Development of Respiratory Structures and Metabolic Systems

The double edge to parasite escape: invasive host is less infected but more infectable

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