Publications

This list includes publications for which the GenoToul Bioinformatics facility has been used (hardware infrastructure, Funding, or Staff members). All Sigenae's publications have used the GenoToul Bioinformatics hardware infrastructure.

2020

1. Kusch, S., Ibrahim, H.M.M., Zanchetta, C., Lopez-Roques, C., Donnadieu, C., and Raffaele, S. (2020). A Chromosome-Scale Genome Assembly Resource for Myriosclerotinia sulcatula Infecting Sedge Grass ( carex sp.). Molecular Plant-Microbe Interactions® 33, 880–883. https://doi.org/10.1094/MPMI-03-20-0060-A.

2. Rasplus, J.-Y., Blaimer, B.B., Brady, S.G., Burks, R.A., Delvare, G., Fisher, N., Gates, M., Gauthier, N., Gumovsky, A.V., Hansson, C., Heraty, J.M., Fusu, L., Nidelet, S., Pereira, R.A.S., Sauné, L., Ubaidillah, R., and Cruaud, A. (2020). A first phylogenomic hypothesis for Eulophidae (Hymenoptera, Chalcidoidea). Journal of Natural History 54, 597–609. https://doi.org/10.1080/00222933.2020.1762941.

3. Boyrie, L., Moreau, C., Frugier, F., Jacquet, C., and Bonhomme, M. (2021). A linkage disequilibrium-based statistical test for Genome-Wide Epistatic Selection Scans in structured populations. Heredity 126, 77–91. https://doi.org/10.1038/s41437-020-0349-1.

4. Donald, J., Roy, M., Suescun, U., Iribar, A., Manzi, S., Péllissier, L., Gaucher, P., and Chave, J. (2020). A test of community assembly rules using foliar endophytes from a tropical forest canopy. Journal of Ecology 108, 1605–1616. https://doi.org/10.1111/1365-2745.13344.

5. Milon, N., Fuentes Rojas, J.-L., Castinel, A., Bigot, L., Bouwmans, G., Baudelle, K., Boutonnet, A., Gibert, A., Bouchez, O., Donnadieu, C., Ginot, F., and Bancaud, A. (2020). A tunable filter for high molecular weight DNA selection and linked-read sequencing. Lab on a Chip 20, 175–184. https://doi.org/10.1039/C9LC00965E.

6. Olazcuaga, L., Loiseau, A., Parrinello, H., Paris, M., Fraimout, A., Guedot, C., Diepenbrock, L.M., Kenis, M., Zhang, J., Chen, X., Borowiec, N., Facon, B., Vogt, H., Price, D.K., Vogel, H., Prud’homme, B., Estoup, A., and Gautier, M. (2020). A Whole-Genome Scan for Association with Invasion Success in the Fruit Fly Drosophila suzukii Using Contrasts of Allele Frequencies Corrected for Population Structure. Molecular Biology and Evolution 37, 2369–2385. https://doi.org/10.1093/molbev/msaa098.

7. Leroy, T., Louvet, J., Lalanne, C., Le Provost, G., Labadie, K., Aury, J., Delzon, S., Plomion, C., and Kremer, A. (2020). Adaptive introgression as a driver of local adaptation to climate in European white oaks. New Phytologist 226, 1171–1182. https://doi.org/10.1111/nph.16095.

8. Radhakrishnan, G.V., Keller, J., Rich, M.K., Vernié, T., Mbadinga Mbadinga, D.L., Vigneron, N., Cottret, L., Clemente, H.S., Libourel, C., Cheema, J., Linde, A.-M., Eklund, D.M., Cheng, S., Wong, G.K.S., Lagercrantz, U., Li, F.-W., Oldroyd, G.E.D., and Delaux, P.-M. (2020). An ancestral signalling pathway is conserved in intracellular symbioses-forming plant lineages. Nature Plants 6, 280–289. https://doi.org/10.1038/s41477-020-0613-7.

9. Dutech, C., Feau, N., Lesur, I., Ehrenmann, F., Letellier, T., Li, B., Mouden, C., Guichoux, E., Desprez-Loustau, M.L., and Gross, A. (2020). An easy and robust method for isolation and validation of single-nucleotide polymorphic markers from a first Erysiphe alphitoides draft genome. Mycological Progress 19, 615–628. https://doi.org/10.1007/s11557-020-01580-w.

10. Jehl, F., Muret, K., Bernard, M., Boutin, M., Lagoutte, L., Désert, C., Dehais, P., Esquerré, D., Acloque, H., Giuffra, E., Djebali, S., Foissac, S., Derrien, T., Pitel, F., Zerjal, T., Klopp, C., and Lagarrigue, S. (2020). An integrative atlas of chicken long non-coding genes and their annotations across 25 tissues. Scientific Reports 10, 20457. https://doi.org/10.1038/s41598-020-77586-x.

11. Dardaillon, J., Dauga, D., Simion, P., Faure, E., Onuma, T.A., DeBiasse, M.B., Louis, A., Nitta, K.R., Naville, M., Besnardeau, L., Reeves, W., Wang, K., Fagotto, M., Guéroult-Bellone, M., Fujiwara, S., Dumollard, R., Veeman, M., Volff, J.-N., Roest Crollius, H., Douzery, E., Ryan, J.F., Davidson, B., Nishida, H., Dantec, C., and Lemaire, P. (2019). ANISEED 2019: 4D exploration of genetic data for an extended range of tunicates. Nucleic Acids Research, gkz955. https://doi.org/10.1093/nar/gkz955.

12. Randriamihamison, N., Vialaneix, N., and Neuvial, P. (2021). Applicability and Interpretability of Ward’s Hierarchical Agglomerative Clustering With or Without Contiguity Constraints. Journal of Classification 38, 363–389. https://doi.org/10.1007/s00357-020-09377-y.

13. Chambers, E.A., and Hebert, P.D.N. (2016). Assessing DNA Barcodes for Species Identification in North American Reptiles and Amphibians in Natural History Collections. PLOS ONE 11, e0154363. https://doi.org/10.1371/journal.pone.0154363.

14. Reverter, A., Vitezica, Z.G., Naval-Sánchez, M., Henshall, J., Raidan, F.S.S., Li, Y., Meyer, K., Hudson, N.J., Porto-Neto, L.R., and Legarra, A. (2020). Association analysis of loci implied in “buffering” epistasis. Journal of Animal Science 98, skaa045. https://doi.org/10.1093/jas/skaa045.

15. Macedo, F.L., Reverter, A., and Legarra, A. (2020). Behavior of the Linear Regression method to estimate bias and accuracies with correct and incorrect genetic evaluation models. Journal of Dairy Science 103, 529–544. https://doi.org/10.3168/jds.2019-16603.

16. Macedo, F.L., Christensen, O.F., Astruc, J.-M., Aguilar, I., Masuda, Y., and Legarra, A. (2020). Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups. Genetics Selection Evolution 52, 47. https://doi.org/10.1186/s12711-020-00567-1.

17. Joulian, C., Fonti, V., Chapron, S., Bryan, C.G., and Guezennec, A.-G. (2020). Bioleaching of pyritic coal wastes: Bioprospecting and efficiency of selected consortia. Research in Microbiology 171, 260–270. https://doi.org/10.1016/j.resmic.2020.08.002.

18. Mat, A.M., Sarrazin, J., Markov, G.V., Apremont, V., Dubreuil, C., Eché, C., Fabioux, C., Klopp, C., Sarradin, P.-M., Tanguy, A., Huvet, A., and Matabos, M. (2020). Biological rhythms in the deep-sea hydrothermal mussel Bathymodiolus azoricus. Nature Communications 11, 3454. https://doi.org/10.1038/s41467-020-17284-4.

19. Feron, R., Zahm, M., Cabau, C., Klopp, C., Roques, C., Bouchez, O., Eché, C., Valière, S., Donnadieu, C., Haffray, P., Bestin, A., Morvezen, R., Acloque, H., Euclide, P.T., Wen, M., Jouano, E., Schartl, M., Postlethwait, J.H., Schraidt, C., Christie, M.R., Larson, W.A., Herpin, A., and Guiguen, Y. (2020). Characterization of a Y‐specific duplication/insertion of the anti‐Mullerian hormone type II receptor gene based on a chromosome‐scale genome assembly of yellow perch, Perca flavescens. Molecular Ecology Resources 20, 531–543. https://doi.org/10.1111/1755-0998.13133.

20. Miyauchi, S., Hage, H., Drula, E., Lesage-Meessen, L., Berrin, J.-G., Navarro, D., Favel, A., Chaduli, D., Grisel, S., Haon, M., Piumi, F., Levasseur, A., Lomascolo, A., Ahrendt, S., Barry, K., LaButti, K.M., Chevret, D., Daum, C., Mariette, J., Klopp, C., Cullen, D., De Vries, R.P., Gathman, A.C., Hainaut, M., Henrissat, B., Hildén, K.S., Kües, U., Lilly, W., Lipzen, A., Mäkelä, M.R., Martinez, A.T., Morel-Rouhier, M., Morin, E., Pangilinan, J., Ram, A.F.J., Wösten, H.A.B., Ruiz-Dueñas, F.J., Riley, R., Record, E., Grigoriev, I.V., and Rosso, M.-N. (2020). Conserved white-rot enzymatic mechanism for wood decay in the Basidiomycota genus pycnoporus. DNA Research 27, dsaa011. https://doi.org/10.1093/dnares/dsaa011.

21. Policarpo, M., Fumey, J., Lafargeas, P., Naquin, D., Thermes, C., Naville, M., Dechaud, C., Volff, J.-N., Cabau, C., Klopp, C., Møller, P.R., Bernatchez, L., García-Machado, E., Rétaux, S., and Casane, D. (2021). Contrasting Gene Decay in Subterranean Vertebrates: Insights from Cavefishes and Fossorial Mammals. Molecular Biology and Evolution 38, 589–605. https://doi.org/10.1093/molbev/msaa249.

22. Mussard, E., Pouzet, C., Helies, V., Pascal, G., Fourre, S., Cherbuy, C., Rubio, A., Vergnolle, N., Combes, S., and Beaumont, M. (2020). Culture of rabbit caecum organoids by reconstituting the intestinal stem cell niche in vitro with pharmacological inhibitors or L-WRN conditioned medium. Stem Cell Research 48, 101980. https://doi.org/10.1016/j.scr.2020.101980.

23. Payton, L., Noirot, C., Hoede, C., Hüppe, L., Last, K., Wilcockson, D., Ershova, E.A., Valière, S., and Meyer, B. (2020). Daily transcriptomes of the copepod Calanus finmarchicus during the summer solstice at high Arctic latitudes. Scientific Data 7, 415. https://doi.org/10.1038/s41597-020-00751-4.

24. Rougemont, Q., Moore, J.-S., Leroy, T., Normandeau, E., Rondeau, E.B., Withler, R.E., Van Doornik, D.M., Crane, P.A., Naish, K.A., Garza, J.C., Beacham, T.D., Koop, B.F., and Bernatchez, L. (2020). Demographic history shaped geographical patterns of deleterious mutation load in a broadly distributed Pacific Salmon. PLOS Genetics 16, e1008348. https://doi.org/10.1371/journal.pgen.1008348.

25. Mariadassou, M., Ramayo‐Caldas, Y., Charles, M., Féménia, M., Renand, G., and Rocha, D. (2020). Detection of selection signatures in Limousin cattle using whole‐genome resequencing. Animal Genetics 51, 815–819. https://doi.org/10.1111/age.12982.

26. Teyssier, A., Matthysen, E., Hudin, N.S., De Neve, L., White, J., and Lens, L. (2020). Diet contributes to urban-induced alterations in gut microbiota: Experimental evidence from a wild passerine. Proceedings of the Royal Society B: Biological Sciences 287, 20192182. https://doi.org/10.1098/rspb.2019.2182.

27. Grimm, P., Combes, S., Pascal, G., Cauquil, L., and Julliand, V. (2020). Dietary composition and yeast/microalgae combination supplementation modulate the microbial ecosystem in the caecum, colon and faeces of horses. British Journal of Nutrition 123, 372–382. https://doi.org/10.1017/S0007114519002824.

28. Sow, A., Haran, J., Benoit, L., Galan, M., and Brévault, T. (2020). DNA Metabarcoding as a Tool for Disentangling Food Webs in Agroecosystems. Insects 11, 294. https://doi.org/10.3390/insects11050294.

29. Żarski, D., Le Cam, A., Nynca, J., Klopp, C., Ciesielski, S., Sarosiek, B., Montfort, J., Król, J., Fontaine, P., Ciereszko, A., and Bobe, J. (2020). Domestication modulates the expression of genes involved in neurogenesis in high‐quality eggs of Sander lucioperca. Molecular Reproduction and Development 87, 934–951. https://doi.org/10.1002/mrd.23414.

30. Paës, C., Gidenne, T., Bébin, K., Duperray, J., Gohier, C., Guené-Grand, E., Rebours, G., Bouchez, O., Barilly, C., Aymard, P., and Combes, S. (2020). Early Introduction of Solid Feeds: Ingestion Level Matters More Than Prebiotic Supplementation for Shaping Gut Microbiota. Frontiers in Veterinary Science 7, 261. https://doi.org/10.3389/fvets.2020.00261.

31. Garcia-Baccino, C.A., Lourenco, D.A.L., Miller, S., Cantet, R.J.C., and Vitezica, Z.G. (2020). Estimating dominance genetic variances for growth traits in American Angus males using genomic models. Journal of Animal Science 98, skz384. https://doi.org/10.1093/jas/skz384.

32. Jallet, A.J., Le Rouzic, A., and Genissel, A. (2020). Evolution and Plasticity of the Transcriptome Under Temperature Fluctuations in the Fungal Plant Pathogen Zymoseptoria tritici. Frontiers in Microbiology 11, 573829. https://doi.org/10.3389/fmicb.2020.573829.

33. Baksay, S., Pornon, A., Burrus, M., Mariette, J., Andalo, C., and Escaravage, N. (2020). Experimental quantification of pollen with DNA metabarcoding using ITS1 and trnL. Scientific Reports 10, 4202. https://doi.org/10.1038/s41598-020-61198-6.

34. Rasplus, J., Rodriguez, L.J., Sauné, L., Peng, Y., Bain, A., Kjellberg, F., Harrison, R.D., Pereira, R.A.S., Ubaidillah, R., Tollon‐Cordet, C., Gautier, M., Rossi, J., and Cruaud, A. (2021). Exploring systematic biases, rooting methods and morphological evidence to unravel the evolutionary history of the genus ficus (Moraceae). Cladistics 37, 402–422. https://doi.org/10.1111/cla.12443.

35. Granado-Tajada, I., Legarra, A., and Ugarte, E. (2020). Exploring the inclusion of genomic information and metafounders in Latxa dairy sheep genetic evaluations. Journal of Dairy Science 103, 6346–6353. https://doi.org/10.3168/jds.2019-18033.

36. Magro, A., Lecompte, E., Hemptinne, J., Soares, A.O., Dutrillaux, A., Murienne, J., Fürsch, H., and Dutrillaux, B. (2020). First case of parthenogenesis in ladybirds (Coleoptera: Coccinellidae) suggests new mechanisms for the evolution of asexual reproduction. Journal of Zoological Systematics and Evolutionary Research 58, 194–208. https://doi.org/10.1111/jzs.12339.

37. Chateigner, A., Lesage-Descauses, M.-C., Rogier, O., Jorge, V., Leplé, J.-C., Brunaud, V., Roux, C.P.-L., Soubigou-Taconnat, L., Martin-Magniette, M.-L., Sanchez, L., and Segura, V. (2020). Gene expression predictions and networks in natural populations supports the omnigenic theory. BMC Genomics 21, 416. https://doi.org/10.1186/s12864-020-06809-2.

38. Goñi-Urriza, M., Klopp, C., Ranchou-Peyruse, M., Ranchou-Peyruse, A., Monperrus, M., Khalfaoui-Hassani, B., and Guyoneaud, R. (2020). Genome insights of mercury methylation among Desulfovibrio and Pseudodesulfovibrio strains. Research in Microbiology 171, 3–12. https://doi.org/10.1016/j.resmic.2019.10.003.

39. Takehana, Y., Zahm, M., Cabau, C., Klopp, C., Roques, C., Bouchez, O., Donnadieu, C., Barrachina, C., Journot, L., Kawaguchi, M., Yasumasu, S., Ansai, S., Naruse, K., Inoue, K., Shinzato, C., Schartl, M., Guiguen, Y., and Herpin, A. (2020). Genome Sequence of the Euryhaline Javafish Medaka, Oryzias javanicus : A Small Aquarium Fish Model for Studies on Adaptation to Salinity. G3 GenesGenomesGenetics 10, 907–915. https://doi.org/10.1534/g3.119.400725.

40. Phan, N.T., Orjuela, J., Danchin, E.G.J., Klopp, C., Perfus‐Barbeoch, L., Kozlowski, D.K., Koutsovoulos, G.D., Lopez‐Roques, C., Bouchez, O., Zahm, M., Besnard, G., and Bellafiore, S. (2020). Genome structure and content of the rice root‐knot nematode ( Meloidogyne graminicola ). Ecology and Evolution 10, 11006–11021. https://doi.org/10.1002/ece3.6680.

41. The VarGoats Consortium, Talouarn, E., Bardou, P., Palhière, I., Oget, C., Clément, V., Tosser-Klopp, G., Rupp, R., and Robert-Granié, C. (2020). Genome wide association analysis on semen volume and milk yield using different strategies of imputation to whole genome sequence in French dairy goats. BMC Genetics 21, 19. https://doi.org/10.1186/s12863-020-0826-9.

42. Ibrahim, H.M.M., Kusch, S., Didelon, M., and Raffaele, S. (2021). Genome‐wide alternative splicing profiling in the fungal plant pathogen Sclerotinia sclerotiorum during the colonization of diverse host families. Molecular Plant Pathology 22, 31–47. https://doi.org/10.1111/mpp.13006.

43. Willemsen, A., Van Den Boom, A., Dietz, J., Bilge Dagalp, S., Dogan, F., Bravo, I.G., Ehrhardt, A., and Ehrke-Schulz, E. (2020). Genomic and phylogenetic characterization of ChPV2, a novel goat PV closely related to the Xi-PV1 species infecting bovines. Virology Journal 17, 167. https://doi.org/10.1186/s12985-020-01440-9.

44. Salem, E., Dhanasekaran, V., Cassard, H., Hause, B., Maman, S., Meyer, G., and Ducatez, M. (2020). Global Transmission, Spatial Segregation, and Recombination Determine the Long-Term Evolution and Epidemiology of Bovine Coronaviruses. Viruses 12, 534. https://doi.org/10.3390/v12050534.

45. Beaumont, M., Paës, C., Mussard, E., Knudsen, C., Cauquil, L., Aymard, P., Barilly, C., Gabinaud, B., Zemb, O., Fourre, S., Gautier, R., Lencina, C., Eutamène, H., Theodorou, V., Canlet, C., and Combes, S. (2020). Gut microbiota derived metabolites contribute to intestinal barrier maturation at the suckling-to-weaning transition. Gut Microbes 11, 1268–1286. https://doi.org/10.1080/19490976.2020.1747335.

46. Graux, A.-I., Resmond, R., Casellas, E., Delaby, L., Faverdin, P., Le Bas, C., Ripoche, D., Ruget, F., Thérond, O., Vertès, F., and Peyraud, J.-L. (2020). High-resolution assessment of French grassland dry matter and nitrogen yields. European Journal of Agronomy 112, 125952. https://doi.org/10.1016/j.eja.2019.125952.

47. Dussert, Y., Legrand, L., Mazet, I.D., Couture, C., Piron, M.-C., Serre, R.-F., Bouchez, O., Mestre, P., Toffolatti, S.L., Giraud, T., and Delmotte, F. (2020). Identification of the First Oomycete Mating-type Locus Sequence in the Grapevine Downy Mildew Pathogen, Plasmopara viticola. Current Biology 30, 3897–3907.e4. https://doi.org/10.1016/j.cub.2020.07.057.

48. Lorenzi, C., Barriere, S., Villemin, J.-P., Dejardin Bretones, L., Mancheron, A., and Ritchie, W. (2020). iMOKA: K-mer based software to analyze large collections of sequencing data. Genome Biology 21, 261. https://doi.org/10.1186/s13059-020-02165-2.

49. Boulesnane, Y., Leloup, J., Lerch, T.Z., Roynette, A., Pensé-Lhéritier, A.-M., Mielcarek, C., and Changey, F. (2020). Impact of sampling and DNA extraction methods on skin microbiota assessment. Journal of Microbiological Methods 171, 105880. https://doi.org/10.1016/j.mimet.2020.105880.

50. Tournayre, O., Leuchtmann, M., Filippi‐Codaccioni, O., Trillat, M., Piry, S., Pontier, D., Charbonnel, N., and Galan, M. (2020). In silico and empirical evaluation of twelve metabarcoding primer sets for insectivorous diet analyses. Ecology and Evolution 10, 6310–6332. https://doi.org/10.1002/ece3.6362.

51. Robic, A., Demars, J., and Kühn, C. (2020). In-Depth Analysis Reveals Production of Circular RNAs from Non-Coding Sequences. Cells 9, 1806. https://doi.org/10.3390/cells9081806.

52. Ploypetch, S., Roytrakul, S., Phaonakrop, N., Kittisenachai, S., Leetanasaksakul, K., Pisamai, S., Kalpravidh, C., Rungsipipat, A., and Suriyaphol, G. (2020). In-gel digestion coupled with mass spectrometry (GeLC-MS/MS)-based salivary proteomic profiling of canine oral tumors. BMC Veterinary Research 16, 335. https://doi.org/10.1186/s12917-020-02550-w.

53. Kottler, V.A., Feron, R., Nanda, I., Klopp, C., Du, K., Kneitz, S., Helmprobst, F., Lamatsch, D.K., Lopez-Roques, C., Lluch, J., Journot, L., Parrinello, H., Guiguen, Y., and Schartl, M. (2020). Independent Origin of XY and ZW Sex Determination Mechanisms in Mosquitofish Sister Species. Genetics 214, 193–209. https://doi.org/10.1534/genetics.119.302698.

54. Salmona, J., Olofsson, J.K., Hong-Wa, C., Razanatsoa, J., Rakotonasolo, F., Ralimanana, H., Randriamboavonjy, T., Suescun, U., Vorontsova, M.S., and Besnard, G. (2020). Late Miocene origin and recent population collapse of the Malagasy savanna olive tree ( Noronhia lowryi ). Biological Journal of the Linnean Society 129, 227–243. https://doi.org/10.1093/biolinnean/blz164.

55. Sommeria‐Klein, G., Zinger, L., Coissac, E., Iribar, A., Schimann, H., Taberlet, P., and Chave, J. (2020). Latent Dirichlet Allocation reveals spatial and taxonomic structure in a DNA‐based census of soil biodiversity from a tropical forest. Molecular Ecology Resources 20, 371–386. https://doi.org/10.1111/1755-0998.13109.

56. Dubois, C., Martin, F., Hassel, C., Magnier, F., Daumar, P., Aubel, C., Guerder, S., Mounetou, E., Penault-Lorca, F., and Bamdad, M. (2019). Low-Dose and Long-Term Olaparib Treatment Sensitizes MDA-MB-231 and SUM1315 Triple-Negative Breast Cancers Spheroids to Fractioned Radiotherapy. Journal of Clinical Medicine 9, 64. https://doi.org/10.3390/jcm9010064.

57. Leroy, T., Rougemont, Q., Dupouey, J., Bodénès, C., Lalanne, C., Belser, C., Labadie, K., Le Provost, G., Aury, J., Kremer, A., and Plomion, C. (2020). Massive postglacial gene flow between European white oaks uncovered genes underlying species barriers. New Phytologist 226, 1183–1197. https://doi.org/10.1111/nph.16039.

58. Orozco-Arias, S., Piña, J.S., Tabares-Soto, R., Castillo-Ossa, L.F., Guyot, R., and Isaza, G. (2020). Measuring Performance Metrics of Machine Learning Algorithms for Detecting and Classifying Transposable Elements. Processes 8, 638. https://doi.org/10.3390/pr8060638.

59. Courtois, P., Rorat, A., Lemiere, S., Guyoneaud, R., Attard, E., Longepierre, M., Rigal, F., Levard, C., Chaurand, P., Grosser, A., Grobelak, A., Kacprzak, M., Lors, C., Richaume, A., and Vandenbulcke, F. (2021). Medium-term effects of Ag supplied directly or via sewage sludge to an agricultural soil on Eisenia fetida earthworm and soil microbial communities. Chemosphere 269, 128761. https://doi.org/10.1016/j.chemosphere.2020.128761.

60. Aubé, J., Senin, P., Bonin, P., Pringault, O., Jeziorski, C., Bouchez, O., Klopp, C., Guyoneaud, R., and Goñi-Urriza, M. (2020). Meta-omics Provides Insights into the Impact of Hydrocarbon Contamination on Microbial Mat Functioning. Microbial Ecology 80, 286–295. https://doi.org/10.1007/s00248-020-01493-x.

61. Bellec, L., Cambon-Bonavita, M.-A., Durand, L., Aube, J., Gayet, N., Sandulli, R., Brandily, C., and Zeppilli, D. (2020). Microbial Communities of the Shallow-Water Hydrothermal Vent Near Naples, Italy, and Chemosynthetic Symbionts Associated With a Free-Living Marine Nematode. Frontiers in Microbiology 11, 2023. https://doi.org/10.3389/fmicb.2020.02023.

62. Clerissi, C., De Lorgeril, J., Petton, B., Lucasson, A., Escoubas, J.-M., Gueguen, Y., Dégremont, L., Mitta, G., and Toulza, E. (2020). Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome. Frontiers in Microbiology 11, 311. https://doi.org/10.3389/fmicb.2020.00311.

63. Milet, J., Courtin, D., Garcia, A., and Perdry, H. (2020). Mixed logistic regression in genome-wide association studies. BMC Bioinformatics 21, 536. https://doi.org/10.1186/s12859-020-03862-2.

64. Marais, A., Faure, C., Lefebvre, M., Lacombe, T., Boursiquot, J.-M., and Candresse, T. (2020). Molecular diversity of grapevine Kizil Sapak virus and implications for its detection. Archives of Virology 165, 1849–1853. https://doi.org/10.1007/s00705-020-04673-9.

65. Bazile, J., Jaffrezic, F., Dehais, P., Reichstadt, M., Klopp, C., Laloe, D., and Bonnet, M. (2020). Molecular signatures of muscle growth and composition deciphered by the meta-analysis of age-related public transcriptomics data. Physiological Genomics 52, 322–332. https://doi.org/10.1152/physiolgenomics.00020.2020.

66. García-Galán, A., Nouvel, L.-X., Baranowski, E., Gómez-Martín, Á., Sánchez, A., Citti, C., and De La Fe, C. (2020). Mycoplasma bovis in Spanish Cattle Herds: Two Groups of Multiresistant Isolates Predominate, with One Remaining Susceptible to Fluoroquinolones. Pathogens 9, 545. https://doi.org/10.3390/pathogens9070545.

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