Inter-annual variability patterns of reef cryptobiota in the central Red Sea across a shelf gradient.

Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Original Publication: London : Nature Publishing Group, copyright 2011-

Anthozoa*; Animals ; Coral Reefs ; Indian Ocean

The combination of molecular tools, standard surveying techniques, and long-term monitoring programs are relevant to understanding environmental and ecological changes in coral reef communities. Here we studied temporal variability in cryptobenthic coral reef communities across the continental shelf in the central Red Sea spanning 6 years (three sampling periods: 2013-2019) and including the 2015 mass bleaching event. We used a combination of molecular tools (barcoding and metabarcoding) to assess communities on Autonomous Reef Monitoring Structures (ARMS) as a standardized sampling approach. Community composition associated with ARMS for both methodologies (barcoding and metabarcoding) was statistically different across reefs (shelf position) and time periods. The partition of beta diversity showed a higher turnover and lower nestedness between pre-bleaching and post-bleaching samples than between the two post-bleaching periods, revealing a community shift from the bleaching event. However, a slight return to the pre-bleaching community composition was observed in 2019 suggesting a recovery trajectory. Given the predictions of decreasing time between bleaching events, it is concerning that cryptobenthic communities may not fully recover and communities with new characteristics will emerge. We observed a high turnover among reefs for all time periods, implying a homogenization of the cryptobiome did not occur across the cross shelf following the 2015 bleaching event. It is possible that dispersal limitations and the distinct environmental and benthic structures present across the shelf maintained the heterogeneity in communities among reefs. This study has to the best of our knowledge presented for the first time a temporal aspect into the analysis of ARMS cryptobenthic coral reef communities and encompasses a bleaching event. We show that these structures can detect cryptic changes associated with reef degradation and provides support for these being used as long-term monitoring tools.
(© 2022. The Author(s).)

Ecology. 2007 Nov;88(11):2830-8. (PMID: 18051652)
PLoS One. 2013 Apr 22;8(4):e61217. (PMID: 23630581)
Proc Biol Sci. 2016 Apr 27;283(1829):. (PMID: 27122569)
Nature. 2012 Jun 06;486(7401):59-67. (PMID: 22678280)
Appl Environ Microbiol. 2007 Aug;73(16):5261-7. (PMID: 17586664)
Mol Ecol. 2020 Dec;29(24):4882-4897. (PMID: 33063375)
Ann Rev Mar Sci. 2009;1:279-302. (PMID: 21141038)
Ecology. 2009 Dec;90(12):3566-74. (PMID: 20120823)
Proc Natl Acad Sci U S A. 2015 Feb 17;112(7):2076-81. (PMID: 25646458)
Science. 2018 Jan 5;359(6371):80-83. (PMID: 29302011)
Science. 2018 Jul 20;361(6399):281-284. (PMID: 30026226)
Sci Rep. 2016 Jun 27;6:28730. (PMID: 27344967)
Sci Rep. 2020 May 20;10(1):8365. (PMID: 32433472)
Mar Pollut Bull. 2005 Feb;50(2):125-46. (PMID: 15737355)
Sci Rep. 2021 Aug 12;11(1):16420. (PMID: 34385506)
Ecology. 2018 Feb;99(2):501. (PMID: 29155453)
Ecol Lett. 2013 May;16 Suppl 1:106-15. (PMID: 23346947)
Mitochondrial DNA A DNA Mapp Seq Anal. 2020 Jul;31(5):178-189. (PMID: 32500776)
Sci Rep. 2020 Aug 11;10(1):13550. (PMID: 32782295)
PeerJ. 2017 Jun 6;5:e3410. (PMID: 28603671)
Proc Natl Acad Sci U S A. 2013 Jan 15;110(3):1000-5. (PMID: 23277544)
Proc Biol Sci. 2019 Feb 13;286(1896):20182697. (PMID: 30963940)
Nat Methods. 2016 Jul;13(7):581-3. (PMID: 27214047)
PeerJ. 2019 Feb 06;7:e6379. (PMID: 30755831)
Biol Rev Camb Philos Soc. 2018 Nov;93(4):1846-1873. (PMID: 29736999)
Mar Pollut Bull. 2020 Nov;160:111585. (PMID: 32911112)
Mol Ecol. 2020 Mar;29(6):1069-1086. (PMID: 32045076)
PeerJ. 2020 Oct 23;8:e10200. (PMID: 33150088)
Glob Chang Biol. 2021 Feb;27(3):640-651. (PMID: 33131196)
Nature. 2006 Mar 2;440(7080):80-2. (PMID: 16511493)
Curr Biol. 2015 Feb 16;25(4):500-5. (PMID: 25639239)
PeerJ. 2020 Apr 2;8:e8737. (PMID: 32274261)
Mar Environ Res. 2018 Nov;142:48-58. (PMID: 30274715)
Proc Natl Acad Sci U S A. 2021 Sep 28;118(39):. (PMID: 34544862)
Ecology. 2017 Feb;98(2):525-533. (PMID: 27870011)
Mol Ecol Resour. 2013 Sep;13(5):851-61. (PMID: 23848937)
Mar Pollut Bull. 2017 Dec 15;125(1-2):56-65. (PMID: 28784269)
PLoS One. 2011;6(9):e22594. (PMID: 21949676)
Mar Pollut Bull. 2019 Apr;141:420-429. (PMID: 30955752)
Science. 2006 Nov 3;314(5800):787-90. (PMID: 17082450)
PLoS One. 2018 Apr 19;13(4):e0195814. (PMID: 29672556)
Sci Total Environ. 2021 Jan 1;750:142254. (PMID: 33182216)
Sci Rep. 2018 May 24;8(1):8090. (PMID: 29795402)
Mar Environ Res. 2016 Jul;118:20-30. (PMID: 27149573)
Oecologia. 2012 Oct;170(2):567-73. (PMID: 22447198)
Nature. 2017 May 31;546(7656):82-90. (PMID: 28569801)
Bioinformatics. 2011 Mar 1;27(5):611-8. (PMID: 21233169)
Genome. 2016 Sep;59(9):724-37. (PMID: 27584940)
Mol Ecol. 2019 Aug;28(15):3496-3507. (PMID: 31281998)
PLoS One. 2016 Nov 9;11(11):e0163939. (PMID: 27828965)
Sci Data. 2017 Mar 14;4:170027. (PMID: 28291235)
Curr Biol. 2012 Dec 4;22(23):2189-202. (PMID: 23159596)
Nature. 2007 Nov 1;450(7166):45-9. (PMID: 17972874)
Sci Rep. 2018 May 9;8(1):7535. (PMID: 29740115)
Glob Chang Biol. 2018 Feb;24(2):773-785. (PMID: 29076634)
Glob Chang Biol. 2020 May;26(5):2785-2797. (PMID: 32115808)
Science. 2014 May 23;344(6186):814-5. (PMID: 24855245)
PLoS One. 2017 Apr 21;12(4):e0175066. (PMID: 28430780)
Science. 2019 Jun 21;364(6446):1189-1192. (PMID: 31123105)

Date Created: 20221009 Date Completed: 20221011 Latest Revision: 20221228

20240628

PMC9548503

10.1038/s41598-022-21304-2

36210380