Phenotypic variation across Lactuca species and genome-wide association analysis in L. sativa and L. serriola

Abstract Crop wild relatives provide valuable insights into trait diversity and the genetic basis of agronomic traits. In the genus Lactuca , domesticated lettuce ( Lactuca sativa ) and its wild progenitor, Lactuca serriola , have been extensively studied, yet broader wild species remain underrepresented. Here, we present a phenotypic dataset of 550 Lactuca accessions, including 20 wild relatives, capturing plant morphology, pigmentation, and pathogen resistance traits derived from images and genetic resource collections. To investigate the genetic basis of these traits, we used a jointly processed SNP set for L. sativa and L. serriola , applying an iterative two-step GWAS approach, enabling the dissection of multiple loci per trait. We identified both known and novel QTLs associated with anthocyanin accumulation, leaf morphology, and pathogen resistance in L. sativa and L. serriola . Importantly, we identified L. serriola -specific QTLs undetected in L. sativa , revealing unique genetic architectures underlying anthocyanin biosynthesis and leaf morphology in the wild progenitor. These findings expand the knowledge of Lactuca beyond cultivated varieties, highlighting the potential of wild species for breeding applications. Our dataset and results provide a foundation for further investigations into the evolutionary and agronomic significance of Lactuca diversity.

Authors

Institutions

Publication Details

Journal
Euphytica
Published
2026-02-25
DOI
https://doi.org/10.1007/s10681-026-03700-1
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phenotypic variation across Lactuca species and genome-wide association analysis in L. sativa and L. serriola

Sarah L. Mehrem, Guido Van den Ackerveken, Basten L. Snoek
Euphytica
Plant Gene Expression Analysis
article

Phenotypic variation across Lactuca species and genome-wide association analysis in L. sativa and L. serriola

Sarah L. Mehrem, Guido Van den Ackerveken, Basten L. Snoek
article en

Abstract

Abstract Crop wild relatives provide valuable insights into trait diversity and the genetic basis of agronomic traits. In the genus Lactuca , domesticated lettuce ( Lactuca sativa ) and its wild progenitor, Lactuca serriola , have been extensively studied, yet broader wild species remain underrepresented. Here, we present a phenotypic dataset of 550 Lactuca accessions, including 20 wild relatives, capturing plant morphology, pigmentation, and pathogen resistance traits derived from images and genetic resource collections. To investigate the genetic basis of these traits, we used a jointly processed SNP set for L. sativa and L. serriola , applying an iterative two-step GWAS approach, enabling the dissection of multiple loci per trait. We identified both known and novel QTLs associated with anthocyanin accumulation, leaf morphology, and pathogen resistance in L. sativa and L. serriola . Importantly, we identified L. serriola -specific QTLs undetected in L. sativa , revealing unique genetic architectures underlying anthocyanin biosynthesis and leaf morphology in the wild progenitor. These findings expand the knowledge of Lactuca beyond cultivated varieties, highlighting the potential of wild species for breeding applications. Our dataset and results provide a foundation for further investigations into the evolutionary and agronomic significance of Lactuca diversity.

EuphyticaVol. 222(3)
Instituto de Física Teórica (ES), Center for Translational Molecular Medicine (NL)
Openalex Percentile: Top 43%
Plant Gene Expression Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.