Data from: Linkage map construction and QTL mapping for morphological traits in Ipomoea trifida, a diploid sweetpotato relative
Data files
Apr 09, 2026 version files 203.68 MB
-
all_variants_trifida_merged.vcf
203.49 MB
-
M9xM19_screenhouse.csv
186.53 KB
-
README.md
3.60 KB
Abstract
Sweetpotato (Ipomoea batatas) is an important food and ornamental polyploid crop with a complex genome. Its closest wild, diploid relative, Ipomoea trifida, emerges as a relatively simpler model for conducting genetic studies. Understanding the genetic basis of morphological traits in I. trifida can provide essential insights for improving agricultural and ornamental sweetpotato. We aimed to study the genetic architecture of morphological traits in an I. trifida full-sib family. Using a high-density genetic linkage map, we were able to unravel and fix major reference genome misassemblies in chromosomes 2, 3, and 7. In addition, 37 quantitative trait loci (QTL) for eleven morphological traits were identified, including major QTL for leaf morphological traits. These findings advance the genomic characterization of the Ipomoea genus, offering support for future efforts to improve agricultural and ornamental traits in a globally relevant crop such as sweetpotato.
This dataset supports the study:
“Linkage map construction and QTL mapping for morphological traits in Ipomoea trifida, a diploid sweetpotato relative.”
Dataset DOI: https://doi.org/10.5061/dryad.vx0k6dk4w
Overview
This dataset contains phenotypic and genotypic data from an outcrossing mapping population of Ipomoea trifida (2n = 2x = 30), developed from a cross between genotypes M9 × M19.
The data were generated to support linkage map construction and QTL mapping of morphological traits.
Experimental design
The mapping population consists of 188 individuals, including both parents.
- Population type: Full-sib (outcrossing species)
- Cross: M9 × M19
- Location: International Potato Center (CIP), San Ramon, Peru
- Year: 2016
- Conditions: Screen house
- Design: Randomized Complete Block Design (RCBD)
- Replications: 4
Files
M9xM19_screenhouse.csv
- Description: Phenotypic data
- Individuals: 188 (including parents)
all_variants_trifida_merged.vcf
- Description: Genotypic data (SNP markers)
- Format: Variant Call Format (VCF)
- Generated using: GATK pipeline
Data description
Phenotypic data (M9xM19_screenhouse.csv)
Each row represents an individual plant evaluated in a given replication.
- X.Plot: Plot number in the experimental design
- CIPN: Germplasm identifier (CIP code)
- BCODE: Breeding code
- Rep: Replication (block) number
- LEAFSHAP1: Leaf outline
→ Scale: 1–7 (ordinal score) - LEAFSHAP2: Leaf lobe type
→ Scale: 0–9 (ordinal score) - LEAFSHAP3: Number of leaf lobes
→ Scale: 1–9 (ordinal score) - LEAFSHAP4: Shape of the central lobe
→ Scale: 0–9 (ordinal score) - LEFTPP_TP1: Number of leaves per plant at 12 days
- LEFTPP_TP2: Number of leaves per plant at 30 days
- LEFTPP_TP3: Number of leaves per plant at 58–62 days
- PLANTH_TP1: Plant height at 11 days (cm)
- PLANTH_TP2: Plant height at 30 days (cm)
- VINDIA: Vine internode diameter (mm)
- LFSIZE: Mature leaf size (cm)
- PETIOL: Petiole length
→ Scale: 1–9 (ordinal score) - LA: Leaf area (mm²)
- SRDW: Storage root dry weight (g)
- SRFW: Storage root fresh weight (g)
- VDW: Vine dry weight (g)
- VFW: Vine fresh weight (g)
- PTRN: Number of pencil-type roots
- PTRFW: Fresh weight of pencil-type roots
- NOSR: Number of storage roots per plant
Variables with suffix _SR: Square root–transformed values of the original trait
Variables with suffix _log: Log10-transformed values of the original trait (log10(x + 1))
Empty cells: Missing values
Genotypic data (all_variants_trifida_merged.vcf)
- Contains SNP markers for all individuals
Code/software
Phenotypic data
Read using base R:
data2016 <- read.csv("M9xM19_screenhouse.csv", header = TRUE, sep = ",")
Genotypic data
Read using the onemap package (v3.0):
vcf <- onemap_read_vcfR(vcf = "all_variants_trifida_merged.vcf",
cross = "outcross",
parent1 = "CIP107665.9.merged",
parent2 = "CIP107665.19.merged",
only_biallelic = TRUE,
verbose = TRUE)
Acknowledgments
Genotypic data were generated by Dr. Gabriel Gesteira (NCSU) using GATK.
