Aquatic invertebrate diversity profiling in heterogeneous wetland habitats by environmental DNA metabarcoding
Invertebrates play vital roles in maintaining biodiversity and food web structure. However, it is difficult to identify invertebrate taxa across complex habitats due to the limitation of traditional morphology. In subtropical wetlands, environmental DNA (eDNA) metabarcoding was used to characterize...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23002686 |
| _version_ | 1797837806169489408 |
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| author | Tuan-Tuan Wang Xiao-Di Wang Ding-Ying Wang Shi-Di Fan Sai Wang Zhong-Bing Chen En-Ni Wu Yang Zhang Cong-Cong Jin Zhuo-Luo Ma Wen-Tong Xia Ling Mo |
| author_facet | Tuan-Tuan Wang Xiao-Di Wang Ding-Ying Wang Shi-Di Fan Sai Wang Zhong-Bing Chen En-Ni Wu Yang Zhang Cong-Cong Jin Zhuo-Luo Ma Wen-Tong Xia Ling Mo |
| author_sort | Tuan-Tuan Wang |
| collection | DOAJ |
| description | Invertebrates play vital roles in maintaining biodiversity and food web structure. However, it is difficult to identify invertebrate taxa across complex habitats due to the limitation of traditional morphology. In subtropical wetlands, environmental DNA (eDNA) metabarcoding was used to characterize the composition and diversity of aquatic invertebrates and analyze the environmental impacts on invertebrate community structure. According to the relative abundance (%) of invertebrate OTU richness, 30 sampling sites in wetlands were clustered into six zones, which exhibited significant spatial (i.e., wetland type-specific) differences in taxonomic composition. The relative OTU abundance (%) at the phylum level showed that Cnidaria (48.5%) > Porifera (19.4%) > Rotifera (11.0%) > Mollusca (9.2%) > Annelida (5.3 ± 2.8%) > others (less than 2.2%). Of the five alpha diversity indexes, ‘Simpson’ was the most effective index to distinguish the spatial differences in invertebrate diversity, and the class-level alpha diversity showed higher recognition than other taxonomic levels. The class-level biomarkers that could indicate the habitat-specific composition of local invertebrates were Insecta, Cnidaria, Hydrozoa, and Gastropoda in the inflow river; Ascidiacea and Demospongiae in the fluvial wetland; Clitellata, Gymnolaemata, and Monogononta in the lacustrine wetland; and Echinoidea in the estuarine wetland. The associations between environmental factors and invertebrate OTU richness based on redundancy analysis showed the taxon-level tendency of phylum (78.5%) > class (73.4%) > order (69.3%) > family (64.9%) > genus (61.2%). Our results demonstrated that aquatic invertebrate diversity profiling by environmental DNA metabarcoding can effectively reflect the composition, diversity and biomarkers of invertebrate communities. In the future, because of its great application potential, the eDNA technique may play an important role in biomonitoring complex water environments. |
| first_indexed | 2024-04-09T15:31:40Z |
| format | Article |
| id | doaj.art-e084807c4b1c42369bbc12318f0bd7e5 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-04-09T15:31:40Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-e084807c4b1c42369bbc12318f0bd7e52023-04-28T08:54:15ZengElsevierEcological Indicators1470-160X2023-06-01150110126Aquatic invertebrate diversity profiling in heterogeneous wetland habitats by environmental DNA metabarcodingTuan-Tuan Wang0Xiao-Di Wang1Ding-Ying Wang2Shi-Di Fan3Sai Wang4Zhong-Bing Chen5En-Ni Wu6Yang Zhang7Cong-Cong Jin8Zhuo-Luo Ma9Wen-Tong Xia10Ling Mo11State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China; College of Ecology and Environment, Hainan University, Haikou 570228, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China; Hainan Qingxiao Environmental Testing Co., Ltd., Sanya 572000, China; Corresponding authors at: State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, 58 Renmin Rd., Meilan District, Haikou 570228, China.Department of Applied Ecology, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, 16500 Praha-Suchdol, Czech RepublicState Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, ChinaShenzhen Guanghuiyuan Environment Water Co., Ltd., Shenzhen 518011, ChinaShenzhen Guanghuiyuan Environment Water Co., Ltd., Shenzhen 518011, ChinaChina Water Resources Pearl River Planning Surveying & Designing Co., Ltd., Guangzhou 510610, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China; Corresponding authors at: State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, 58 Renmin Rd., Meilan District, Haikou 570228, China.Hainan Research Academy of Environmental Sciences, Haikou 571126, ChinaInvertebrates play vital roles in maintaining biodiversity and food web structure. However, it is difficult to identify invertebrate taxa across complex habitats due to the limitation of traditional morphology. In subtropical wetlands, environmental DNA (eDNA) metabarcoding was used to characterize the composition and diversity of aquatic invertebrates and analyze the environmental impacts on invertebrate community structure. According to the relative abundance (%) of invertebrate OTU richness, 30 sampling sites in wetlands were clustered into six zones, which exhibited significant spatial (i.e., wetland type-specific) differences in taxonomic composition. The relative OTU abundance (%) at the phylum level showed that Cnidaria (48.5%) > Porifera (19.4%) > Rotifera (11.0%) > Mollusca (9.2%) > Annelida (5.3 ± 2.8%) > others (less than 2.2%). Of the five alpha diversity indexes, ‘Simpson’ was the most effective index to distinguish the spatial differences in invertebrate diversity, and the class-level alpha diversity showed higher recognition than other taxonomic levels. The class-level biomarkers that could indicate the habitat-specific composition of local invertebrates were Insecta, Cnidaria, Hydrozoa, and Gastropoda in the inflow river; Ascidiacea and Demospongiae in the fluvial wetland; Clitellata, Gymnolaemata, and Monogononta in the lacustrine wetland; and Echinoidea in the estuarine wetland. The associations between environmental factors and invertebrate OTU richness based on redundancy analysis showed the taxon-level tendency of phylum (78.5%) > class (73.4%) > order (69.3%) > family (64.9%) > genus (61.2%). Our results demonstrated that aquatic invertebrate diversity profiling by environmental DNA metabarcoding can effectively reflect the composition, diversity and biomarkers of invertebrate communities. In the future, because of its great application potential, the eDNA technique may play an important role in biomonitoring complex water environments.http://www.sciencedirect.com/science/article/pii/S1470160X23002686SubtropicalHigh-throughput sequencingTaxonomic compositionBiomarkerFood web |
| spellingShingle | Tuan-Tuan Wang Xiao-Di Wang Ding-Ying Wang Shi-Di Fan Sai Wang Zhong-Bing Chen En-Ni Wu Yang Zhang Cong-Cong Jin Zhuo-Luo Ma Wen-Tong Xia Ling Mo Aquatic invertebrate diversity profiling in heterogeneous wetland habitats by environmental DNA metabarcoding Ecological Indicators Subtropical High-throughput sequencing Taxonomic composition Biomarker Food web |
| title | Aquatic invertebrate diversity profiling in heterogeneous wetland habitats by environmental DNA metabarcoding |
| title_full | Aquatic invertebrate diversity profiling in heterogeneous wetland habitats by environmental DNA metabarcoding |
| title_fullStr | Aquatic invertebrate diversity profiling in heterogeneous wetland habitats by environmental DNA metabarcoding |
| title_full_unstemmed | Aquatic invertebrate diversity profiling in heterogeneous wetland habitats by environmental DNA metabarcoding |
| title_short | Aquatic invertebrate diversity profiling in heterogeneous wetland habitats by environmental DNA metabarcoding |
| title_sort | aquatic invertebrate diversity profiling in heterogeneous wetland habitats by environmental dna metabarcoding |
| topic | Subtropical High-throughput sequencing Taxonomic composition Biomarker Food web |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23002686 |
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