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Automated Author Profile

Weigel, Detlef

Current S-Index

70.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.9

Average Dataset Index per dataset

Total Datasets

75

Total datasets for this author

Average FAIR Score

50.7%

Average FAIR Score per dataset

Total Citations

26

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Small proteins modulate ion channel-like ACD6 to regulate immunity in Arabidopsis thaliana

The ankyrin-repeat transmembrane protein ACD6 was identified two decades ago, but its exact biochemical function has remained enigmatic. Chen et al. show that ACD6 is a bona fide regulator of calcium influx using heterologous systems and calcium reporters in plants, and that this activity can be further enhanced by a MHA1L peptide ligand.

Authors

  • Chen, Jun-bin ;
  • Li, Lei ;
  • Kim, Jonghum ;
  • Neuhaeuser, Benjamin ;
  • wang, mingyu ;
  • Thelen, Michael ;
  • Hilleary, Richard ;
  • Chi, Yuan ;
  • Wei, Luyang ;
  • Venkataramani, Kavita ;
  • Exposito-Alonso, Moises ;
  • Liu, Chang ;
  • Keck, Jakob ;
  • Barragan, A. Cristina ;
  • Schwab, Rebecca ;
  • Lutz, Ulrich ;
  • Pei, Zhenming ;
  • He, Sheng-Yang ;
  • Ludewig, Uwe ;
  • Weigel, Detlef ;
  • Zhu, Wangsheng
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/p26vr5tjt4October 2023

Small proteins modulate ion channel-like ACD6 to regulate immunity in Arabidopsis thaliana

The ankyrin-repeat transmembrane protein ACD6 was identified two decades ago, but its exact biochemical function has remained enigmatic. Chen et al. show that ACD6 is a bona fide regulator of calcium influx using heterologous systems and calcium reporters in plants, and that this activity can be further enhanced by a MHA1L peptide ligand.

Authors

  • Chen, Jun-bin ;
  • Li, Lei ;
  • Kim, Jonghum ;
  • Neuhaeuser, Benjamin ;
  • wang, mingyu ;
  • Thelen, Michael ;
  • Hilleary, Richard ;
  • Chi, Yuan ;
  • Wei, Luyang ;
  • Venkataramani, Kavita ;
  • Exposito-Alonso, Moises ;
  • Liu, Chang ;
  • Keck, Jakob ;
  • Barragan, A. Cristina ;
  • Schwab, Rebecca ;
  • Lutz, Ulrich ;
  • Pei, Zhenming ;
  • He, Sheng-Yang ;
  • Ludewig, Uwe ;
  • Weigel, Detlef ;
  • Zhu, Wangsheng
0 Citations0 Mentions65% FAIR0.9 Dataset Index
10.17632/p26vr5tjt4.1October 2023

Supplemental Material for Rowan et al., 2019

Supplementary Material contains:
Tables S1 - S5Figures S1 - S15Files S1 - S5Supplemental Legends

Authors

  • Rowan, Beth ;
  • Heavens, Darren ;
  • Feuerborn, Tatiana ;
  • Tock, Andrew ;
  • Henderson, Ian ;
  • Weigel, Detlef
2 Citations0 Mentions13% FAIR1.0 Dataset Index
10.25386/genetics.9733838January 2019

Tables from: "Natural selection on the Arabidopsis thaliana genome in present and future climates"

Through the lens of evolution, climate change is an agent of natural selection that forces populations to change and adapt, or face extinction. Current assessments of the risks associated with climate change, however, do not typically take into account that natural selection can dramatically impact the genetic makeup of populations. We made use of extensive genome information in Arabidopsis thaliana and measured how rainfall-manipulation affected the fitness of 517 natural lines grown in Spain and Germany. This allowed us to directly infer selection at the genetic level. Natural selection was particularly strong in the hot-dry Spanish location, killing 63% of lines and significantly changing the frequency of ~5% of all genome-wide variants. A significant proportion of this selection over variants could be predicted from the climate (mis)match between experimental sites and the geographic areas where variants are found (R2=29-52%). Field-validated predictions across the species range indicated that Mediterranean and Western Siberia populations — at the edges of the species' environmental limits — currently experience the strongest climate-driven selection, and Central Europeans the weakest. With rapidly increasing droughts and rising temperatures in Europe, we forecast a wave of directional selection moving North, putting many native A. thaliana populations at evolutionary risk.

Authors

  • Exposito-Alonso, Moises ;
  • Weigel, Detlef
1 Citation0 Mentions13% FAIR0.8 Dataset Index
10.6084/m9.figshare.6756836.v2January 2019

S1_Data (Version: 1)

No description available

Authors

  • Vasseur, François ;
  • Fouqueau, Louise ;
  • De Vienne, Dominique ;
  • Nidelet, Thibault ;
  • Violle, Cyrille ;
  • Weigel, Detlef
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.4978rp4/2January 2019

Tables from: "Natural selection on the Arabidopsis thaliana genome in present and future climates"

Through the lens of evolution, climate change is an agent of natural selection that forces populations to change and adapt, or face extinction. Current assessments of the risks associated with climate change, however, do not typically take into account that natural selection can dramatically impact the genetic makeup of populations. We made use of extensive genome information in Arabidopsis thaliana and measured how rainfall-manipulation affected the fitness of 517 natural lines grown in Spain and Germany. This allowed us to directly infer selection at the genetic level. Natural selection was particularly strong in the hot-dry Spanish location, killing 63% of lines and significantly changing the frequency of ~5% of all genome-wide variants. A significant proportion of this selection over variants could be predicted from the climate (mis)match between experimental sites and the geographic areas where variants are found (R2=29-52%). Field-validated predictions across the species range indicated that Mediterranean and Western Siberia populations — at the edges of the species' environmental limits — currently experience the strongest climate-driven selection, and Central Europeans the weakest. With rapidly increasing droughts and rising temperatures in Europe, we forecast a wave of directional selection moving North, putting many native A. thaliana populations at evolutionary risk.

Authors

  • Exposito-Alonso, Moises ;
  • Weigel, Detlef
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.6756836January 2019

Supplemental Material for Rowan et al., 2019

Supplementary Material contains:
Tables S1 - S5Figures S1 - S15Files S1 - S5Supplemental Legends

Authors

  • Rowan, Beth ;
  • Heavens, Darren ;
  • Feuerborn, Tatiana ;
  • Tock, Andrew ;
  • Henderson, Ian ;
  • Weigel, Detlef
1 Citation0 Mentions88% FAIR0.5 Dataset Index
10.25386/genetics.9733838.v1January 2019

MOESM5 of Image-based methods for phenotyping growth dynamics and fitness components in Arabidopsis thaliana

Additional file 5. R code used to predict fruit number from inflorescence skeleton descriptors, with cross-validation approach to train and test different models and training population size.

Authors

  • Franรงois Vasseur ;
  • Bresson, Justine ;
  • Wang, George ;
  • Schwab, Rebecca ;
  • Weigel, Detlef
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.6870428.v1January 2018

MOESM4 of Image-based methods for phenotyping growth dynamics and fitness components in Arabidopsis thaliana

Additional file 4. ImageJ macro used to extract inflorescence skeleton descriptors from top-view images of plant inflorescence.

Authors

  • Franรงois Vasseur ;
  • Bresson, Justine ;
  • Wang, George ;
  • Schwab, Rebecca ;
  • Weigel, Detlef
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.6870422.v1January 2018

Accessions_phenotypes

No description available

Authors

  • Vasseur, François ;
  • Exposito-Alonso, Moises ;
  • Ayala-Garay, Oscar J. ;
  • Wang, George ;
  • Enquist, Brian J. ;
  • Vile, Denis ;
  • Violle, Cyrille ;
  • Weigel, Detlef
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.343bd84/1January 2018