Cryptic species in time and space: an assessment of cryptic diversity within eight nominal species of Hydrozoa (Cnidaria).


Journal

Proceedings. Biological sciences
ISSN: 1471-2954
Titre abrégé: Proc Biol Sci
Pays: England
ID NLM: 101245157

Informations de publication

Date de publication:
09 08 2023
Historique:
medline: 3 8 2023
pubmed: 2 8 2023
entrez: 2 8 2023
Statut: ppublish

Résumé

Sampling in multiple localities, coupled with molecular barcoding, has shown that nominal species with wide geographical distribution often harbour local cryptic species in allopatry. Cryptic species in sympatry, however, can be easily missed if they have different seasonality, because they can be identified only through long-term frequent sampling (i.e. sampling through time of the same species in the same location). This is especially true in planktonic invertebrates that exhibit strong seasonality. By integrating mitochondrial 16S sequences of eight species of Hydrozoa (Cnidaria) collected weekly for a year in one Gulf of Mexico region, with sequences gathered globally, we investigate the presence of cryptic species within a temporal gradient (regionally) and on a spatial (worldwide) scale. We find that eight species of Hydrozoa are composed of 28 cryptic species, with 16 of them appearing in sympatry but with non-overlapping seasonality. The high number of sympatric cryptic species could only be discovered through extensive and prolonged regional sampling efforts. The bi-dimensional cryptic diversity (in time and space) highlighted in this study is essential for understanding processes of evolution, biogeography dispersal in the sea, and for more realistic biodiversity assessments.

Identifiants

pubmed: 37528709
doi: 10.1098/rspb.2023.0851
pmc: PMC10394412
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.6736947']

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

20230851

Références

Mol Phylogenet Evol. 2006 Mar;38(3):820-34
pubmed: 16376578
J Evol Biol. 2021 Jan;34(1):4-15
pubmed: 33460491
PeerJ. 2019 Oct 8;7:e7848
pubmed: 31608180
Saudi J Biol Sci. 2016 Mar;23(2):161-71
pubmed: 26980996
Philos Trans R Soc Lond B Biol Sci. 2008 Dec 27;363(1512):3893-902
pubmed: 18852100
Mol Biol Evol. 2021 Jun 25;38(7):3022-3027
pubmed: 33892491
Proc Natl Acad Sci U S A. 2015 Feb 17;112(7):2076-81
pubmed: 25646458
Mol Ecol Resour. 2011 Jan;11(1):154-7
pubmed: 21429114
Mol Ecol. 2012 Apr;21(8):1864-77
pubmed: 21883587
Trends Ecol Evol. 2007 Mar;22(3):148-55
pubmed: 17129636
PLoS One. 2015 Jul 24;10(7):e0133084
pubmed: 26207903
Integr Comp Biol. 2011 Sep;51(3):449-55
pubmed: 21593140
Mol Phylogenet Evol. 2014 Jul;76:1-9
pubmed: 24602986
PLoS One. 2015 Dec 11;10(12):e0144762
pubmed: 26657561
Mol Ecol Resour. 2021 Feb;21(2):609-620
pubmed: 33058550
Proc Biol Sci. 2023 Aug 9;290(2004):20230851
pubmed: 37528709

Auteurs

Maria Pia Miglietta (MP)

Marine Biology, Texas A&M University at Galveston, Galveston, TX 77553-1675, USA.

Sarah Pruski (S)

Marine Biology, Texas A&M University at Galveston, Galveston, TX 77553-1675, USA.

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Classifications MeSH