Back

Single-cell transcriptomics reveals transcriptional diversity of sea cucumber perivisceral fluid coelomocytes

Wambreuse, N.; Lavergne, A.; Fievez, L.; Bureau, F.; Zhang, L.; Deng, B.; Caulier, G.; Eeckhaut, I.; Delroisse, J.

2026-02-21 evolutionary biology
10.64898/2026.02.20.704403 bioRxiv
Show abstract

Echinoderms possess a complex immune system, primarily relying on coelomocytes - immune cells circulating in coelomic fluids. Over the last few decades, various coelomocytes have been described based on morphological features, with holothuroids exhibiting the highest diversity of cell morphotypes among the different echinoderm classes. However, while the overall immune function of these cells is broadly accepted, their respective functions remain unclear, and molecular data specific to the different cell types are still limited in the literature. In this study, we address this gap in functional information and molecular data by using single-cell RNA sequencing (scRNA-seq) on coelomocytes from the perivisceral fluid of Holothuria forskali. We identified 10 distinct clusters, each assumed to correspond to a distinct transcriptional coelomocyte population. Among these, cluster 0 occupies a central position relative to the others, suggesting it may represent "progenitor cells", whereas cluster 6 is markedly divergent from all other clusters. Functional enrichment analyses revealed that some clusters ensure key immune functions, including pathogen recognition, phagocytosis, complement activation and redox balance regulation. In addition, examination of the processed samples under a microscope confirms the presence of a small proportion of recently discovered carotenocytes (7.0%) in the perivisceral fluid, a cell type rich in carotenoids. By using transcriptomics data previously obtained for this cell type by bulk RNA sequencing (bRNA-seq), it was possible to confidently identify cluster 6 as carotenocytes and provide further insights into their gene expression. While further analyses are needed to link other clusters to the different morphotypes previously described in the literature, this pioneer study presents preliminary data on the functional diversity of holothuroid coelomocytes, which could be of broad interest for a better understanding of holothuroid immunity as well as for the study of immune cell lineage evolution across deuterostomes.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 6%
10.2%
2
BMC Genomics
328 papers in training set
Top 0.2%
7.2%
3
Open Biology
95 papers in training set
Top 0.1%
6.4%
4
Molecular Ecology
304 papers in training set
Top 1.0%
6.4%
5
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 0.9%
4.9%
6
Journal of Experimental Zoology Part B: Molecular and Developmental Evolution
22 papers in training set
Top 0.1%
4.9%
7
eLife
5422 papers in training set
Top 17%
4.9%
8
Frontiers in Marine Science
55 papers in training set
Top 0.4%
3.1%
9
PLOS ONE
4510 papers in training set
Top 42%
3.1%
50% of probability mass above
10
EvoDevo
13 papers in training set
Top 0.1%
2.8%
11
BMC Ecology and Evolution
49 papers in training set
Top 0.6%
2.6%
12
Communications Biology
886 papers in training set
Top 4%
2.4%
13
iScience
1063 papers in training set
Top 9%
2.4%
14
Developmental Biology
134 papers in training set
Top 1%
2.1%
15
International Journal of Molecular Sciences
453 papers in training set
Top 5%
2.1%
16
Frontiers in Ecology and Evolution
60 papers in training set
Top 2%
1.9%
17
Ecology and Evolution
232 papers in training set
Top 2%
1.7%
18
Evolution & Development
18 papers in training set
Top 0.1%
1.3%
19
Royal Society Open Science
193 papers in training set
Top 3%
1.3%
20
Journal of Experimental Biology
249 papers in training set
Top 2%
1.3%
21
BMC Biology
248 papers in training set
Top 2%
1.2%
22
New Phytologist
309 papers in training set
Top 4%
1.2%
23
Frontiers in Immunology
586 papers in training set
Top 6%
1.0%
24
Genomics
60 papers in training set
Top 2%
1.0%
25
Biology
43 papers in training set
Top 2%
0.8%
26
Advanced Biology
29 papers in training set
Top 1%
0.8%
27
General and Comparative Endocrinology
18 papers in training set
Top 0.2%
0.8%
28
Frontiers in Genetics
197 papers in training set
Top 10%
0.8%
29
PeerJ
261 papers in training set
Top 17%
0.6%
30
Microbiome
139 papers in training set
Top 3%
0.6%