Evidence map›Paper›PMID 30728388›Full record

ArticleScientific reports2019

Functional annotation of putative QTL associated with black tea quality and drought tolerance traits.

Robert K Koech, Pelly M Malebe, Christopher Nyarukowa, Richard Mose, Samson M Kamunya, Fourie Joubert, Zeno Apostolides

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 28 citations in OpenAlex.

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  8. High-Density Genetic Linkage Mapping ofFrontiers in plant science · 2020
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  9. Review
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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

7 authors at 3 institutions in 2 countries.

Robert K KoechDepartment of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, 0002, South Africa.
Pelly M MalebeDepartment of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, 0002, South Africa.
Christopher NyarukowaDepartment of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, 0002, South Africa.
Richard MoseJames Finlay (Kenya) Limited, P.O. Box 223, Kericho, 20200, Kenya.
Samson M KamunyaKenya Agriculture and Livestock Research Organization, Tea Research Institute, P.O. Box 820, Kericho, 20200, Kenya.
Fourie JoubertDepartment of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, 0002, South Africa.
Zeno ApostolidesDepartment of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, 0002, South Africa. za@up.ac.za.
University of Pretoria · ZAKenya Agricultural and Livestock Research Organization · KEKenya Seed Company (Kenya) · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The understanding of black tea quality and percent relative water content (%RWC) traits in tea (Camellia sinensis) by a quantitative trait loci (QTL) approach can be useful in elucidation and identification of candidate genes underlying the QTL which has remained to be difficult. The objective of the study was to identify putative QTL controlling black tea quality and percent relative water traits in two tea populations and their F1 progeny. A total of 1,421 DArTseq markers derived from the linkage map identified 53 DArTseq markers to be linked to black tea quality and %RWC. All 53 DArTseq markers with unique best hits were identified in the tea genome. A total of 5,592 unigenes were assigned gene ontology (GO) terms, 56% comprised biological processes, cellular component (29%) and molecular functions (15%), respectively. A total of 84 unigenes in 15 LGs were assigned to 25 different Kyoto Encyclopedia of Genes and Genomes (KEGG) database pathways based on categories of secondary metabolite biosynthesis. The three major enzymes identified were transferases (38.9%), hydrolases (29%) and oxidoreductases (18.3%). The putative candidate proteins identified were involved in flavonoid biosynthesis, alkaloid biosynthesis, ATPase family proteins related to abiotic/biotic stress response. The functional annotation of putative QTL identified in this current study will shed more light on the proteins associated with caffeine and catechins biosynthesis and % RWC. This study may help breeders in selection of parents with desirable DArTseq markers for development of new tea cultivars with desirable traits.

Indexed as

Adaptation, PhysiologicalQuantitative Trait LociCamellia sinensisDroughtsGenetic LinkageHydrolasesMolecular Sequence AnnotationOxidoreductasesPlant ProteinsSequence Analysis, DNATransferasesHydrolasesOxidoreductasesPlant ProteinsTransferases

Identifiers

PMID30728388
PMCPMC6365519
OpenAlexW2913329734

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Registered trials

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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.