Three populations composed of a total of 215 doubled haploid lines and 151 F2 individuals were used to design an intraspecific consensus map of pepper (Capsicum annuum L.). The individual maps varied from 685 to 1668 cM with 16 to 20 linkage groups (LGs). The alignment of the three individual maps permitted the arrangement of 12 consensus major linkage groups corresponding to the basic chromosome number of pepper and displaying a complex correspondence with the tomato map. The consensus map contained 100 known-function gene markers and 5 loci of agronomic interest (the disease-resistance loci L, pvr2, and Pvr4; the C locus, which determines capsaicin content; and the up locus, controlling the erect habit of the fruits). The locations of three other disease-resistance loci (Tsw, Me3, and Bs3) and the y locus, which determines the yellow fruit colour, were also found on this consensus map thanks to linked markers. Here we report on the first functional detailed map in pepper. The use of candidate gene sequences as genetic markers allowed us to localize four clusters of disease-resistance gene analogues and to establish syntenic relationships with other species.

Download full-text PDF

Source
http://dx.doi.org/10.1139/g02-053DOI Listing

Publication Analysis

Top Keywords

consensus map
12
alignment three
8
map pepper
8
individual maps
8
linkage groups
8
disease-resistance loci
8
locus determines
8
map
6
saturation pepper
4
pepper linkage
4

Similar Publications

Background: Care bundles are evidence-based practices intended to improve patient outcomes and have become a significant focus in intensive care.

Aim: This study aims to identify research trends, key topics, leading researchers, and significant collaborations in care bundle research within ıntensive care units by mapping the conceptual and intellectual structure of the field.

Study Design: Data were collected from the Web of Science database, covering publications from 2010 to 2024.

View Article and Find Full Text PDF

Background: Childhood obesity is a preventable global public health challenge, increasingly recognized as a complex problem, stemming from complex drivers. Obesity is characterized by multiple interdependencies and diverse influences at different societal levels. Tackling childhood obesity calls for a holistic approach that engages with complexity and recognizes that there is no single "magic bullet" intervention to prevent obesity.

View Article and Find Full Text PDF

Purpose: The Healthy Eating Index-Canada 2015 (HEI-C 2015), Diet Quality Index-International (DQI-I), and Healthy Eating Food Index 2019 (HEFI-2019) are commonly used to summarize the quality of Canadian diets. This paper sought to compare these three diet quality indices with respect to their ability to capture diets of different quality in Canadian children and to discriminate between population subgroups.

Methods: Data were collected in school-based surveys from grade 4-6 students (9-12 years old) in western Canada through 24-h dietary recall in 2016 ( = 336), 2018 ( = 454), and 2020/2021 ( = 909).

View Article and Find Full Text PDF

Background: There is growing interest in developing sensing solutions for remote health monitoring to support the safety and independence of older adults. To ensure these technologies are practical and relevant, people-centred design is essential. This study aims to explore the involvement of various stakeholders across different developmental stages to inform the design and assess the capabilities of unobtrusive sensing solutions being developed as part of the Advanced Care Research Centre (ACRC), Edinburgh, UK.

View Article and Find Full Text PDF

Integrating pharmacogenomics and cheminformatics with diverse disease phenotypes for cell type-guided drug discovery.

Genome Med

January 2025

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.

Background: Large-scale pharmacogenomic resources, such as the Connectivity Map (CMap), have greatly assisted computational drug discovery. However, despite their widespread use, CMap-based methods have thus far been agnostic to the biological activity of drugs as well as to the genomic effects of drugs in multiple disease contexts. Here, we present a network-based statistical approach, Pathopticon, that uses CMap to build cell type-specific gene-drug perturbation networks and integrates these networks with cheminformatic data and diverse disease phenotypes to prioritize drugs in a cell type-dependent manner.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!