We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Detecting Cotton Leaf Curl Virus Resistance Quantitative Trait Loci in Gossypium hirsutum and iCottonQTL a New R/Shiny App to Streamline Genetic Mapping.
- Authors
Schoonmaker, Ashley N.; Hulse-Kemp, Amanda M.; Youngblood, Ramey C.; Rahmat, Zainab; Atif Iqbal, Muhammad; Rahman, Mehboob-ur; Kochan, Kelli J.; Scheffler, Brian E.; Scheffler, Jodi A.
- 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.
- Subjects
CENTRAL Asia; ASIA; LOCUS (Genetics); COTTON; GENE mapping; SINGLE nucleotide polymorphisms; VIRAL transmission; PRODUCTION losses
- Publication
Plants (2223-7747), 2023, Vol 12, Issue 5, p1153
- ISSN
2223-7747
- Publication type
Article
- DOI
10.3390/plants12051153