Evidence map›Paper›PMID 33712819›Full record

ArticleG3 (Bethesda, Md.)2021

Integration of high-density genetic mapping with transcriptome analysis uncovers numerous agronomic QTL and reveals candidate genes for the control of tillering in sorghum.

Rajanikanth Govindarajulu, Ashley N Hostetler, Yuguo Xiao, Srinivasa R Chaluvadi, Margarita Mauro-Herrera, Muriel L Siddoway, Clinton Whipple, Jeffrey L Bennetzen, Katrien M Devos, Andrew N Doust and 1 more

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

4 citing papers in PubMed, 12 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

11 authors at 4 institutions in 1 country.

Rajanikanth GovindarajuluDepartment of Biology, West Virginia University, Morgantown, WV 26505, USA.
Ashley N HostetlerDepartment of Biology, West Virginia University, Morgantown, WV 26505, USA.
Yuguo XiaoDepartment of Biology, Brigham Young University, Provo, UT 84602, USA.
Srinivasa R ChaluvadiDepartment of Genetics, University of Georgia, Athens, GA 30602, USA.
Margarita Mauro-HerreraDepartment of Plant Biology, Ecology, and Evolution, Oklahoma State University, Stillwater, OK 74078, USA.
Muriel L SiddowayDepartment of Biology, Brigham Young University, Provo, UT 84602, USA.
Clinton WhippleDepartment of Biology, Brigham Young University, Provo, UT 84602, USA.
Jeffrey L BennetzenDepartment of Genetics, University of Georgia, Athens, GA 30602, USA.
Katrien M DevosDepartment of Crop and Soil Sciences (Institute for Plant Breeding, Genetics and Genomics), and Department of Plant Biology, University of Georgia, Athens, GA 30602, USA.
Andrew N DoustDepartment of Plant Biology, Ecology, and Evolution, Oklahoma State University, Stillwater, OK 74078, USA.
Jennifer S HawkinsDepartment of Biology, West Virginia University, Morgantown, WV 26505, USA.
Brigham Young University · USUniversity of Georgia · USWest Virginia University · USOklahoma State University · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Laura F. Gibson · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

Phenotypes such as branching, photoperiod sensitivity, and height were modified during plant domestication and crop improvement. Here, we perform quantitative trait locus (QTL) mapping of these and other agronomic traits in a recombinant inbred line (RIL) population derived from an interspecific cross between Sorghum propinquum and Sorghum bicolor inbred Tx7000. Using low-coverage Illumina sequencing and a bin-mapping approach, we generated ∼1920 bin markers spanning ∼875 cM. Phenotyping data were collected and analyzed from two field locations and one greenhouse experiment for six agronomic traits, thereby identifying a total of 30 QTL. Many of these QTL were penetrant across environments and co-mapped with major QTL identified in other studies. Other QTL uncovered new genomic regions associated with these traits, and some of these were environment-specific in their action. To further dissect the genetic underpinnings of tillering, we complemented QTL analysis with transcriptomics, identifying 6189 genes that were differentially expressed during tiller bud elongation. We identified genes such as Dormancy Associated Protein 1 (DRM1) in addition to various transcription factors that are differentially expressed in comparisons of dormant to elongating tiller buds and lie within tillering QTL, suggesting that these genes are key regulators of tiller elongation in sorghum. Our study demonstrates the usefulness of this RIL population in detecting domestication and improvement-associated genes in sorghum, thus providing a valuable resource for genetic investigation and improvement to the sorghum community.

Indexed as

SorghumChromosome MappingEdible GrainGene Expression ProfilingPhenotypeQuantitative Trait Locibin mappinggenetic architectureplant architecturequantitative trait locirecombinant inbredsSorghum bicolorSorghum propinquum

Identifiers

PMID33712819
PMCPMC8022972
OpenAlexW3128095374

What OpenQuestion holds

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LicenceCC BY
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.