Evidence map›Paper›PMID 36904013›Full record

ArticlePlants (Basel, Switzerland)2023

Detecting Cotton Leaf Curl Virus Resistance Quantitative Trait Loci in

Ashley N Schoonmaker, Amanda M Hulse-Kemp, Ramey C Youngblood, Zainab Rahmat, Muhammad Atif Iqbal, Mehboob-Ur Rahman, Kelli J Kochan, Brian E Scheffler, Jodi A Scheffler

Full text read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

9 authors.

Ashley N SchoonmakerBioinformatics Graduate Program, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0009-0006-0926-6042
Amanda M Hulse-KempBioinformatics Graduate Program, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0001-9670-9433
Ramey C YoungbloodInstitute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Starkville, MS 39762, USA.
Zainab RahmatPlant Genomics and Molecular Breeding Laboratory, National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences, (NIBGE-C, PIEAS), Faisalabad 38000, Punjab, Pakistan.
Muhammad Atif IqbalSchool of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
Mehboob-Ur RahmanSchool of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0001-7237-2274
Kelli J KochanInstitute for Genome Sciences and Society, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0001-8124-8283
Brian E SchefflerUSDA Agricultural Research Service, Genomics and Bioinformatics Research Unit, Stoneville, MS 38776, USA.ORCID 0000-0003-1968-8952
Jodi A SchefflerUSDA Agricultural Research Service, Crop Genetics Research Unit, Stoneville, MS 38776, USA.ORCID 0000-0001-7897-2916

Funding

Agricultural Research Service 0500-00093-001-00-DAgricultural Research Service 6066-21000-052-00-DAgricultural Research Service 6066-21310-005-00-D
6 · The paper itself

Abstract

Cotton leaf curl virus (CLCuV) causes devastating losses to fiber production in Central Asia. Viral spread across Asia in the last decade is causing concern that the virus will spread further before resistant varieties can be bred. Current development depends on screening each generation under disease pressure in a country where the disease is endemic. We utilized quantitative trait loci (QTL) mapping in four crosses with different sources of resistance to identify single nucleotide polymorphism (SNP) markers associated with the resistance trait to allow development of varieties without the need for field screening every generation. To assist in the analysis of multiple populations, a new publicly available R/Shiny App was developed to streamline genetic mapping using SNP arrays and to also provide an easy method to convert and deposit genetic data into the CottonGen database. Results identified several QTL from each cross, indicating possible multiple modes of resistance. Multiple sources of resistance would provide several genetic routes to combat the virus as it evolves over time. Kompetitive allele specific PCR (KASP) markers were developed and validated for a subset of QTL, which can be used in further development of CLCuV-resistant cotton lines.

Indexed as

cottoncotton leaf curl virusgenetic mappinggenotypingquantitative trait lociR/Shiny

Identifiers

PMID36904013
PMCPMC10005503

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read4
measurements read10
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.