Deep homology
In evolutionary developmental biology, the concept of deep homology is used to describe cases where growth and differentiation processes are governed by genetic mechanisms that are homologous and deeply conserved across a wide range of species.
History
In 1822, the French zoologist Étienne Geoffroy Saint-Hilaire dissected a crayfish, discovering that its body is organised like a vertebrate's, but inverted belly to back (dorsoventrally):[1]
I just found that all the soft organs, that is to say, the principal organs of life are found in crustaceans, and so in insects, in the same order, in the same relationships and with the same arrangement as their analogues in the high vertebrate animals ... What was my surprise, and I may add, my admiration, seeing [such] a rule ...[1]
Geoffroy's homology theory was denounced by the leading French zoologist of his day, Georges Cuvier, but in 1994, Geoffroy was shown to be correct.[1] In 1915, Santiago Ramon y Cajal mapped the neural connections of the optic lobes of a fly, finding that these resembled those of vertebrates.[1] In 1978, Edward B. Lewis helped to found evolutionary developmental biology, discovering that homeotic genes regulated embryonic development in fruit flies.[1]
In 1997, the term deep homology first appeared in a paper by Neil Shubin, Cliff Tabin, and Sean B. Carroll, describing the apparent relatedness in genetic regulatory apparatuses which indicated evolutionary similarities in disparate animal features.[2]
A different kind of homology
Whereas ordinary homology is seen in the pattern of structures such as limb bones of mammals that are evidently related, deep homology can apply to groups of animals that have quite dissimilar anatomy: vertebrates (with endoskeletons made of bone and cartilage) and arthropods (with exoskeletons made of chitin) nevertheless have limbs that are constructed using similar recipes or "algorithms".[2][3][4][5]
Within the metazoa, homeotic genes control differentiation along major body axes, and pax genes (especially PAX6) help to control the development of the eye and other sensory organs. The deep homology applies across widely separated groups, such as in the eyes of mammals and the structurally quite different compound eyes of insects.[3]
Similarly, hox genes help to form an animal's segmentation pattern. HoxA and HoxD, that regulate finger and toe formation in mice, control the development of ray fins in zebrafish; these structures had until then been considered non-homologous.[6]
There is a possible deep homology among animals that use acoustic communication, such as songbirds and humans, which may share unmutated versions of the FOXP2 gene.[7]
Future endeavors in science; deep homology of cancer stem cells
In modern day biology, the depth of understanding deep homology has evolved into focusing on the molecular and genetic mechanisms and functions rather than simple morphology. Cancer stem cells (CSCs) are a population of cells within a tumor that have the ability to self-renew and differentiate into different cell types, similar to normal stem cells. The stem cell theory of cancer suggests that there is a subpopulation of cells, referred to as cancer stem cells, that have certain characteristics that make them unique among other types of cells within a cancer. The traits that are included in CSCs are that they multiply indefinitely, are resistant to chemotherapy, and are proposed to be responsible for relapse after therapy.[8]
Life cycle of cancer
The unicellular life cycle of cancer and Entamoeba is uniquely similar, and thus contradicts the molecular phylostratigraphic theory for the origin of cancer. This deep relationship between the two cell systems is supported by the "amoeba model", which provides a greater understanding of the biology of cancer from the evolutionary perspective.[9] The G + S life cycle of Entamoeba is the closest common ancestor than compared to any other life cycle of unicellular organisms. Similarly, both cell systems, amoeba and cancer, use the deep homologous G + S gene module that was evolved by a common ancestor. Some parallels that they share are too close for coincidence:
(i) A reproductive asexual germ-line capable of forming germ-line stem cells (GSCs, referred to as CSCs in cancer) and a somatic cell line without reproductive GSC function; (ii) Germ and soma cells that proliferate through asymmetric and symmetric cell cycles and can interconvert by transitioning from germ to soma (GST) and from soma to germ (SGT); both processes are referred to as MET and EMT in cancer; (iii) Oxygen-sensitive germlines that irreversibly lose their reproductive function due to irreparable DNA damage caused by excess oxygen; (iv) DNA damage repair (DDR) mechanisms to repair DNA replication and polyploidization defects and maintain genomic integrity of nascent GSCs/CSCs; (v) DNA DSB repair mechanisms via MGRS and PGCC structures, with or without homologous cell fusion.[9]
MGRSs are also known in medical terms as “pre-existing Polypoid Giant Cancer Cells (PGCCs)” and are frequently observed in untreated cancers.[citation needed] In cancer, the reproductive germ-line cycle starts with a precursor cell. This cell will then polyploidize within a cell envelope. This cancer germ-line undergoes a process of development that is similar to the Entamoeba germline. A significant trace of deep homology can be found in mammalian germ-line stem cells. Based on a previous hypothesis, the germ-line is the common ancestor in somatic stem cell lineages. Daughter GSCs are the only stem cells that have the capability of passing genetic information throughout generations.[9]
Take away
Overall, the application of deep homology to the study of CSCs has the potential to improve the understanding of the molecular and genetic mechanisms that drive cancer progression, and may lead to the development of new treatments that target CSCs specifically. It can also lead to a better implementation of existing anti-cancer therapies.
Algorithm
In 2010, a team led by Edward Marcotte developed an algorithm that identifies deeply homologous genetic modules in unicellular organisms, plants, and animals based on phenotypes (such as traits and developmental defects). The technique aligns phenotypes across organisms based on orthology (a type of homology) of genes involved in the phenotypes.[10][11]
See also
- Body plan – Set of morphological features common to members of a phylum of animals
References
- ^ a b c d e Held, Lewis I. (February 2017). Deep Homology?: Uncanny Similarities of Humans and Flies Uncovered by Evo-Devo. Cambridge University Press. pp. 2–5. ISBN 978-1316601211.
- ^ a b Shubin, Neil; Tabin, Cliff; Carroll, Sean (1997). "Fossils, genes and the evolution of animal limbs". Nature. 388 (6643). Springer Nature: 639–648. Bibcode:1997Natur.388..639S. doi:10.1038/41710. PMID 9262397. S2CID 2913898.
- ^ a b Carroll, Sean B. (2006). Endless Forms Most Beautiful. Weidenfeld & Nicolson. pp. 28, 66–69. ISBN 0-297-85094-6.
- ^ Gilbert, Scott F. (2000). "Homologous Pathways of Development". Developmental biology (6th ed.). Sunderland, Mass: Sinauer Associates. ISBN 0-87893-243-7.
- ^ Held, Lewis I. (February 2017). Deep Homology?: Uncanny Similarities of Humans and Flies Uncovered by Evo-Devo. Cambridge University Press. pp. viii and throughout. ISBN 978-1316601211.
- ^ Zimmer, Carl (2016-08-17). "From Fins Into Hands: Scientists Discover a Deep Evolutionary Link". The New York Times. Retrieved 21 October 2016.
- ^ Scharff, Petri; Constance, Jane (July 2011). "Evo-Devo, Deep Homology and FoxP2: Implications for the Evolution of Speech and Language". Philos. Trans. R. Soc. B. 366 (1574): 2124–2140. doi:10.1098/rstb.2011.0001. PMC 3130369. PMID 21690130.
- ^ "Department of Cancer Biology - Cancer Stem Cells". Mayo Clinic. Retrieved 2023-04-10.
- ^ a b c Niculescu, Vladimir F. (April 4, 2022). "Cancer genes and cancer stem cells in tumorigenesis: Evolutionary deep homology and controversies". Genes & Diseases. 9 (5): 1234–1247. doi:10.1016/j.gendis.2022.03.010. PMC 9293697. PMID 35873035.
- ^ Zimmer, Carl (April 26, 2010). "The Search for Genes Leads to Unexpected Places". The New York Times.
- ^ McGary, K. L.; Park, T. J.; Woods, J. O.; Cha, H. J.; Wallingford, J. B.; Marcotte, E. M. (April 2010). "Systematic discovery of nonobvious human disease models through orthologous phenotypes" (PDF). Proceedings of the National Academy of Sciences. 107 (14): 6544–9. Bibcode:2010PNAS..107.6544M. doi:10.1073/pnas.0910200107. PMC 2851946. PMID 20308572.