| Literature DB >> 36192540 |
Bitao Qiu1,2, Xueqin Dai3,4, Panyi Li5, Rasmus Stenbak Larsen6, Ruyan Li6, Alivia Lee Price6, Guo Ding6,3, Michael James Texada7, Xiafang Zhang3, Dashuang Zuo3, Qionghua Gao3,8, Wei Jiang5, Tinggang Wen5, Luigi Pontieri6, Chunxue Guo5, Kim Rewitz7, Qiye Li5,9, Weiwei Liu3, Jacobus J Boomsma10, Guojie Zhang11,12,13,14.
Abstract
Ant colonies are higher-level organisms consisting of specialized reproductive and non-reproductive individuals that differentiate early in development, similar to germ-soma segregation in bilateral Metazoa. Analogous to diverging cell lines, developmental differentiation of individual ants has often been considered in epigenetic terms but the sets of genes that determine caste phenotypes throughout larval and pupal development remain unknown. Here, we reconstruct the individual developmental trajectories of two ant species, Monomorium pharaonis and Acromyrmex echinatior, after obtaining >1,400 whole-genome transcriptomes. Using a new backward prediction algorithm, we show that caste phenotypes can be accurately predicted by genome-wide transcriptome profiling. We find that caste differentiation is increasingly canalized from early development onwards, particularly in germline individuals (gynes/queens) and that the juvenile hormone signalling pathway plays a key role in this process by regulating body mass divergence between castes. We quantified gene-specific canalization levels and found that canalized genes with gyne/queen-biased expression were enriched for ovary and wing functions while canalized genes with worker-biased expression were enriched in brain and behavioural functions. Suppression in gyne larvae of Freja, a highly canalized gyne-biased ovary gene, disturbed pupal development by inducing non-adaptive intermediate phenotypes between gynes and workers. Our results are consistent with natural selection actively maintaining canalized caste phenotypes while securing robustness in the life cycle ontogeny of ant colonies.Entities:
Year: 2022 PMID: 36192540 DOI: 10.1038/s41559-022-01884-y
Source DB: PubMed Journal: Nat Ecol Evol ISSN: 2397-334X Impact factor: 19.100