TY - JOUR
T1 - The DNA binding landscape of the maize AUXIN RESPONSE FACTOR family
AU - Galli, Mary
AU - Khakhar, Arjun
AU - Lu, Zefu
AU - Chen, Zongliang
AU - Sen, Sidharth
AU - Joshi, Trupti
AU - Nemhauser, Jennifer L.
AU - Schmitz, Robert J.
AU - Gallavotti, Andrea
N1 - Publisher Copyright:
© 2018, The Author(s).
PY - 2018/12/1
Y1 - 2018/12/1
N2 - AUXIN RESPONSE FACTORS (ARFs) are plant-specific transcription factors (TFs) that couple perception of the hormone auxin to gene expression programs essential to all land plants. As with many large TF families, a key question is whether individual members determine developmental specificity by binding distinct target genes. We use DAP-seq to generate genome-wide in vitro TF:DNA interaction maps for fourteen maize ARFs from the evolutionarily conserved A and B clades. Comparative analysis reveal a high degree of binding site overlap for ARFs of the same clade, but largely distinct clade A and B binding. Many sites are however co-occupied by ARFs from both clades, suggesting transcriptional coordination for many genes. Among these, we investigate known QTLs and use machine learning to predict the impact of cis-regulatory variation. Overall, large-scale comparative analysis of ARF binding suggests that auxin response specificity may be determined by factors other than individual ARF binding site selection.
AB - AUXIN RESPONSE FACTORS (ARFs) are plant-specific transcription factors (TFs) that couple perception of the hormone auxin to gene expression programs essential to all land plants. As with many large TF families, a key question is whether individual members determine developmental specificity by binding distinct target genes. We use DAP-seq to generate genome-wide in vitro TF:DNA interaction maps for fourteen maize ARFs from the evolutionarily conserved A and B clades. Comparative analysis reveal a high degree of binding site overlap for ARFs of the same clade, but largely distinct clade A and B binding. Many sites are however co-occupied by ARFs from both clades, suggesting transcriptional coordination for many genes. Among these, we investigate known QTLs and use machine learning to predict the impact of cis-regulatory variation. Overall, large-scale comparative analysis of ARF binding suggests that auxin response specificity may be determined by factors other than individual ARF binding site selection.
UR - http://www.scopus.com/inward/record.url?scp=85055615736&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055615736&partnerID=8YFLogxK
U2 - 10.1038/s41467-018-06977-6
DO - 10.1038/s41467-018-06977-6
M3 - Article
C2 - 30375394
AN - SCOPUS:85055615736
SN - 2041-1723
VL - 9
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 4526
ER -