Evidence map›Paper›PMID 34045362›Full record

ArticleGenome research2021

Conserved noncoding sequences provide insights into regulatory sequence and loss of gene expression in maize.

Baoxing Song, Edward S Buckler, Hai Wang, Yaoyao Wu, Evan Rees, Elizabeth A Kellogg, Daniel J Gates, Merritt Khaipho-Burch, Peter J Bradbury, Jeffrey Ross-Ibarra and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed, 63 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Baoxing SongInstitute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA.ORCID http://orcid.org/0000-0003-1478-9228
Edward S BucklerInstitute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA.
Hai WangInstitute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA.
Yaoyao WuInstitute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA.
Evan ReesSection of Plant Breeding and Genetics, Cornell University, Ithaca, New York 14853, USA.
Elizabeth A KelloggDonald Danforth Plant Science Center, St. Louis, Missouri 63132, USA.
Daniel J GatesDepartment of Evolution and Ecology, University of California Davis, Davis, California 95616, USA.
Merritt Khaipho-BurchSection of Plant Breeding and Genetics, Cornell University, Ithaca, New York 14853, USA.
Peter J BradburyAgricultural Research Service, United States Department of Agriculture, Ithaca, New York 14853, USA.
Jeffrey Ross-IbarraDepartment of Evolution and Ecology, University of California Davis, Davis, California 95616, USA.
Matthew B HuffordDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa 50011, USA.ORCID http://orcid.org/0000-0003-3945-1143
M Cinta RomayInstitute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA.
Cornell University · USAgricultural Research Service · USUniversity of California, Davis · USDonald Danforth Plant Science Center · USIowa State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thousands of species will be sequenced in the next few years; however, understanding how their genomes work, without an unlimited budget, requires both molecular and novel evolutionary approaches. We developed a sensitive sequence alignment pipeline to identify conserved noncoding sequences (CNSs) in the Andropogoneae tribe (multiple crop species descended from a common ancestor ∼18 million years ago). The Andropogoneae share similar physiology while being tremendously genomically diverse, harboring a broad range of ploidy levels, structural variation, and transposons. These contribute to the potential of Andropogoneae as a powerful system for studying CNSs and are factors we leverage to understand the function of maize CNSs. We found that 86% of CNSs were comprised of annotated features, including introns, UTRs, putative

Identifiers

PMID34045362
PMCPMC8256870
OpenAlexW3164610320

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.