For team member's Google Scholars see team page


grenepipe: A flexible, scalable, and reproducible pipeline to automate variant and frequency calling from sequence reads
Czech, L., Exposito-Alonso, M.
arXiv (2021)

Prospects and limitations of genomic offset in conservation management
Rellstab, C., Dauphin, B.,
Exposito‐Alonso, M.,
Evolutionary Applications. (2021)

Small Peptides Modulate the Immune Function of the Ion Channel-like Protein ACD6 in Arabidopsis thaliana
Zhu, W., Li, L., Neuhaeuser, B., Thelen, M., Wang, M., Chen, J., Wei, L., Venkataramani, K.,
Exposito-Alonso, M., Liu, C., Keck, J., Cristina Barragan, A., Schwab, R., Lutz, U., Ludewig, U., Weigel, D.,.
bioRxiv (2021).


How will mosquitoes adapt to climate change?
Couper, L., Farner, J., Caldwell, J., Childs, M., Harris, M., Kirk, D., Nova, N., Shocket, M., Skinner, E., Uricchio, L., Exposito-Alonso, M., Mordecai, E.,.
Authorea preprints (2020)

Using Taxonomically-Informed Convolutional Neural Networks To Predict Plant Biodiversity Across California From High-Resolution Satellite Imagery Data.
Gillespie, L & Exposito-Alonso, M.
AGU Fall Meeting (2020).

Genomic Prediction of (Mal)Adaptation across Current and Future Climatic Landscapes.
Capblancq T, Fitzpatrick MC, Bay RA,
Exposito-Alonso M, and Keller S R.
Annual Reviews of Ecology, Evolution, and Systematics (2020) 51 (1): 245–69. [pdf]

Current status of the multinational Arabidopsis community.
Geraint Parry, Nicholas J. Provart , Siobhan M. Brady, Baris Uzilday,
The Multinational Arabidopsis Steering Committee.
Plant Direct, [pdf]

Non-additive polygenic models improve predictions of fitness traits in three eukaryote model species.
Exposito-Alonso M, Wilton P, Nielsen R. 2020.

Mutation Bias Shapes Gene Evolution in Arabidopsis thaliana.
Monroe JG, Srikant T, Carbonell-Bejerano P, Exposito-Alonso M, Weng ML, Rutter MT, Fenster CB, and Weigel D. 2020.
bioRxiv. [pdf]

Plantae Highlight:

Company of Biologists Highlight:

Seasonal timing adaptation across the geographic range of Arabidopsis thaliana.
Exposito-Alonso M. (2020).
PNAS, 117 (18) 9665-9667 [pdf]

Evolutionary genomics improves prediction of species responses to climate change.
Waldvogel AM, Feldmeyer B, Rolshausen G, Exposito-Alonso M, Rellstab C, Kofler R, Mock T, Schmid K, Schmitt I, Bataillon T, Savolainen O, Bergland A, Flatt T, Guillaume F, Pfenninger M. (2020)
Evolution Letters, [pdf]


The Earth BioGenome project: Opportunities and Challenges for Plant Genomics and Conservation
Exposito-Alonso, M., Drost, HG., Burbano, H.A., Weigel, D. (2019)
The Plant Journal, [pdf]

Natural selection on the Arabidopsis thaliana genome in present and future climates.
Exposito-Alonso, M., 500 Genomes Field Experiment Team, Burbano, H. A., Bossdorf, O., Nielsen, R., Weigel, D.
Nature (2019), [pdf]

Highlights: Surridge C. Genomic futurology. Nat Plants. 2019;5: 1027. doi:10.1038/s41477-019-0532-7

A rainfall-manipulation experiment with 517 Arabidopsis thaliana accessions.
Exposito-Alonso, M., Rodríguez, R.G., Barragán, C., Capovilla, G., Chae, E., Devos, J., Dogan, E.S., Friedemann, C., Gross, C., Lang, P., Lundberg, D., Middendorf, V., Kageyama, J., Karasov, T., Kersten, S., Petersen, S., Rabbani, L., Regalado, J., Reinelt, L., Rowan, B., Seymour, D.K., Symeonidi, E., Schwab, R., Tran, D.T.N., Venkataramani, K., Van de Weyer, A.-L., Vasseur, F., Wang, G., Wedegärtner, R. Weiss, F., Wu, R., Xi, W., Zaidem, M., Zhu, W., García-Arenal, F., Burbano, H.A., Bossdorf, O., Weigel, D.,
bioRxiv (final version) (2019), [pdf]


Spatio-temporal variation in fitness responses to contrasting environments in Arabidopsis thaliana.
Exposito-Alonso, M., Brennan, A., Alonso-Blanco, C., Picó, F.X., (2018)
Evolution, 71:550. [pdf]

Adaptive diversification of growth allometry in the plant Arabidopsis thaliana
Vasseur, F., Exposito-Alonso, M., Ayala-Garay, O., Wang, G., Enquist, B.J., Violle, C., Ville, D., Weigel, D., (2018)
PNAS, [pdf]

The rate and effect of new mutations in a colonizing plant lineage.
Exposito-Alonso, M.*, Becker, C*., Schuenemann, V.J., Reitter, E., Setzer, C., Slovak, R., Brachi, B., Hagmann, J., Grimm, D.G., Jiahui, C., Busch, W., Bergelson, J., Ness, R.W., Krause, J., Burbano, H.A., Weigel, D., (2018)
PLOS Genetics, 14, e1007155. [pdf]

Cover highlight >

Max Planck Highlight: Evolutionwatch for plants >

Genomic basis and evolutionary potential for extreme drought adaptation in Arabidopsis thaliana.
Exposito-Alonso, M., Vasseur, F., Ding, W., Wang, G., Burbano, H.A., Weigel, D., (2018).
Nature Ecology & Evolution 2, 352–358. [pdf]

Max Planck Highlight: Life on the edge >

Behind the paper >

On the post-glacial spread of human commensal Arabidopsis thaliana.
Lee, C.-R., Svardal, H., Farlow, A., Exposito-Alonso, M., Ding, W., Novikova, P., Alonso-Blanco, C., Weigel, D., Nordborg, M., (2017).
Nature Communications. 8, 14458. [pdf]

World Scientists’ Warning to Humanity: A Second Notice.
Ripple, William J., Christopher Wolf, Thomas M. Newsome, Mauro Galetti, Mohammed Alamgir, Eileen Crist, Mahmoud I. Mahmoud, and William F. Laurance.
Bioscience (2017), November.

Epigenomic diversity in a global collection of Arabidopsis thaliana accessions.
Kawakatsu, T., Huang, S. C., Jupe, F., Sasaki, E., Schmitz, R. J., Urich, M. A., Castanon, R., Nery, J. R., Barragan, C., He, Y., Chen, H., Dubin, M., Lee, C. R., Wang, C., Bemm, F., Becker, C., O'Neil, R., O'Malley, R. C., Quarless, D. X.,
1001 Genomes Consortium, Schork, N. J., Weigel, D., Nordborg, M., Ecker, J. R.
Cell (2016) 166, 492-505, [pdf]

Effector-triggered immune response in Arabidopsis thaliana is a quantitative trait.
Iakovidis, M., Teixeira, P.J.P.L., Exposito-Alonso, M., Cowper, M.G., Law, T.F., Liu, Q., Vu, M.C., Dang, T.M., Corwin, J.A., Weigel, D., Dangl, J.L., Grant, S.R.,.
Genetics (2016) 204, 337–353. [pdf]

1,135 Genomes reveal the global pattern of polymorphism in Arabidopsis thaliana.
1001 Genomes Consortium
Cell (2016) 166, 481–491. [pdf]