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Biosynthetic constraints on amino acid synthesis at the base of the food chain may determine their use in higher-order consumer genomes.

Authors :
Javier Gómez Ortega
David Raubenheimer
Sonika Tyagi
Christen K Mirth
Matthew D W Piper
Source :
PLoS Genetics, Vol 19, Iss 2, p e1010635 (2023)
Publication Year :
2023
Publisher :
Public Library of Science (PLoS), 2023.

Abstract

Dietary nutrient composition is essential for shaping important fitness traits and behaviours. Many organisms are protein limited, and for Drosophila melanogaster this limitation manifests at the level of the single most limiting essential Amino Acid (AA) in the diet. The identity of this AA and its effects on female fecundity is readily predictable by a procedure called exome matching in which the sum of AAs encoded by a consumer's exome is used to predict the relative proportion of AAs required in its diet. However, the exome matching calculation does not weight AA contributions to the overall profile by protein size or expression. Here, we update the exome matching calculation to include these weightings. Surprisingly, although nearly half of the transcriptome is differentially expressed when comparing male and female flies, we found that creating transcriptome-weighted exome matched diets for each sex did not enhance their fecundity over that supported by exome matching alone. These data indicate that while organisms may require different amounts of dietary protein across conditions, the relative proportion of the constituent AAs remains constant. Interestingly, we also found that exome matched AA profiles are generally conserved across taxa and that the composition of these profiles might be explained by energetic and elemental limitations on microbial AA synthesis. Thus, it appears that ecological constraints amongst autotrophs shape the relative proportion of AAs that are available across trophic levels and that this constrains biomass composition.

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
15537390 and 15537404
Volume :
19
Issue :
2
Database :
Directory of Open Access Journals
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.fcdcb4b4592e4e7fb21e1efe35693b3a
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pgen.1010635