Evidence map›Paper›PMID 38895211›Full record

ArticlebioRxiv : the preprint server for biology2024

Transcription factor binding site divergence across maize inbred lines drives transcriptional and phenotypic variation.

Mary Galli, Zongliang Chen, Tara Ghandour, Amina Chaudhry, Jason Gregory, Miaomiao Li, Xuan Zhang, Yinxin Dong, Gaoyuan Song, Justin W Walley and 5 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Mary GalliWaksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA.ORCID 0000-0001-7413-9409
Zongliang ChenWaksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA.ORCID 0000-0003-1469-3699
Tara GhandourCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA.
Amina ChaudhryWaksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA.
Jason GregoryWaksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA.
Miaomiao LiCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA.ORCID 0000-0003-2132-6168
Xuan ZhangDepartment of Genetics, University of Georgia, Athens, GA, USA.
Yinxin DongDepartment of Genetics, University of Georgia, Athens, GA, USA.
Gaoyuan SongDepartment of Plant Pathology, Entomology, and Microbiology, Iowa State University; Ames, IA, 50011.
Justin W WalleyDepartment of Plant Pathology, Entomology, and Microbiology, Iowa State University; Ames, IA, 50011.ORCID 0000-0001-7553-2237
George ChuckPlant Gene Expression Center, Albany, CA 94710, USA.
Clinton WhippleDepartment of Biology, Brigham Young University, 4102 LSB, Provo, UT 84602, USA.ORCID 0000-0001-7879-235X
Heidi F KaepplerDepartment of Agronomy, University of Wisconsin, Madison, WI, USA.
Shao-Shan Carol HuangCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA.ORCID 0000-0001-7811-0398
Andrea GallavottiWaksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA.ORCID 0000-0002-1901-2971

Funding

Sequence, chromatin, and cellular contexts of transcription factor- DNA interaction and functionR35GM138143 · NIGMS · NEW YORK UNIVERSITY · PI Shao-shan Carol Huang · 2020 to 2026
$2.4M
NIGMS NIH HHS R35 GM138143
6 · The paper itself

Abstract

Regulatory elements are important constituents of plant genomes that have shaped ancient and modern crops. Their identification, function, and diversity in crop genomes however are poorly characterized, thus limiting our ability to harness their power for further agricultural advances using induced or natural variation. Here, we use DNA affinity purification-sequencing (DAP-seq) to map transcription factor (TF) binding events for 200 maize TFs belonging to 30 distinct families and heterodimer pairs in two distinct inbred lines historically used for maize hybrid plant production, providing empirical binding site annotation for 5.3% of the maize genome. TF binding site comparison in B73 and Mo17 inbreds reveals widespread differences, driven largely by structural variation, that correlate with gene expression changes. TF binding site presence-absence variation helps clarify complex QTL such as

Identifiers

PMID38895211
PMCPMC11185568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.