The first linkage map for a recombinant inbred line population in cotton (Gossypium barbadense) and its use in studies of PEG-induced dehydration tolerance

Abdelraheem, Abdelraheem; Mahdy, E.E.; Zhang, Jinfa

doi:10.1007/s10681-015-1448-6

Cited by 21 publications

(21 citation statements)

References 87 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Genetic maps have been constructed for interspecific populations [ 13 – 16 ] and intraspecific populations of G. hirsutum [ 7 – 12 ]; however, few G. barbadense genetic maps are available. Abdelraheem et al [ 17 ] constructed a genetic map using the RIL population from intraspecific Sea Island cotton ( G. barbadense L.), and it was the first genetic map for G. barbadense with the RIL population. The map contained 247 polymorphic markers that spanned 685.7 cM, with 2.78 cM between adjacent markers.…”

Section: Discussionmentioning

confidence: 99%

“…Genetic maps play an important role in evaluating the evolution of cotton chromosomes and the discovery of Gossypium genetic resources to improve the world’s most prominent natural fiber [ 1 ]. Previous quantitative trait locus (QTLs) studies on fiber and lint yield traits involved diploid cotton populations [ 2 – 6 ], upland cotton populations [ 7 – 12 ] and interspecific populations [ 13 – 16 ], although few studies have been conducted on intraspecific populations of Gossypium barbadense to identify fiber and lint yield QTLs [ 17 , 18 ]. Previous studies of fiber quality and lint yield traits were primarily based on molecular markers with low polymorphic rates [ 19 – 21 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A high-density genetic map of extra-long staple cotton (Gossypium barbadense) constructed using genotyping-by-sequencing based single nucleotide polymorphic markers and identification of fiber traits-related QTL in a recombinant inbred line population

Lü

Wang

et al. 2018

BMC Genomics

View full text Add to dashboard Cite

BackgroundGossypium barbadense (Sea Island, Egyptian or Pima cotton) cotton has high fiber quality, however, few studies have investigated the genetic basis of its traits using molecular markers. Genome complexity reduction approaches such as genotyping-by-sequencing have been utilized to develop abundant markers for the construction of high-density genetic maps to locate quantitative trait loci (QTLs).ResultsThe Chinese G. barbadense cultivar 5917 and American Pima S-7 were used to develop a recombinant inbred line (RIL) population with 143 lines. The 143 RILs together with their parents were tested in three replicated field tests for lint yield traits (boll weight and lint percentage) and fiber quality traits (fiber length, fiber elongation, fiber strength, fiber uniformity and micronaire) and then genotyped using GBS to develop single-nucleotide polymorphism (SNP) markers. A high-density genetic map with 26 linkage groups (LGs) was constructed using 3557 GBS SNPs spanning a total genetic distance of 3076.23 cM at an average density of 1.09 cM between adjacent markers. A total of 42 QTLs were identified, including 24 QTLs on 12 LGs for fiber quality and 18 QTLs on 7 LGs for lint yield traits, with LG1 (9 QTLs), LG10 (7 QTLs) and LG14 (6 QTLs) carrying more QTLs. Common QTLs for the same traits and overlapping QTLs for different traits were detected. Each individual QTLs explained 0.97 to 20.7% of the phenotypic variation.ConclusionsThis study represents one of the first genetic mapping studies on the fiber quality and lint yield traits in a RIL population of G. barbadense using GBS-SNPs. The results provide important information for the subsequent fine mapping of QTLs and the prediction of candidate genes towards map-based cloning and marker-assisted selection in cotton.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A high-density genetic map of extra-long staple cotton (Gossypium barbadense) constructed using genotyping-by-sequencing based single nucleotide polymorphic markers and identification of fiber traits-related QTL in a recombinant inbred line population

Lü

Wang

et al. 2018

BMC Genomics

View full text Add to dashboard Cite

show abstract

“…One hundred and sixty‐one RILs, along with their parents, were evaluated in two independent greenhouse studies (one for drought and another for salt tolerance) using a randomized complete block design with three replications for each study in a hydroponic system, as described previously by Abdelraheem, Hughs, et al. (2015), Abdelraheem, Mahdy, and Zhang (2015), Abelraheem, Fang, and Zhang (2018), and Abdelraheem, Thyssen, et al. (2018).…”

Section: Methodsmentioning

confidence: 99%

“…Molecular markers have provided a powerful approach through quantitative trait loci (QTL) analysis to dissect complex traits such as LY and fiber quality, so marker‐assisted selection may be developed. In contrast with numerous studies in QTL mapping for yield and fiber quality in intraspecific upland cotton and/or interspecific upland × pima populations (Said, Knapka, Song, & Zhang, 2015; Said, Song, et al., 2015; Said, Lin, Zhang, Song, & Zhang, 2013; Zhang et al., 2012), limited studies have been reported using intraspecific populations from pima cotton (Abdelraheem, Fang, & Zhang, 2018; Abdelraheem, Mahdy, & Zhang, 2015; Fan et al., 2018; Gore, Fang, Poland, Zhang, & Percy, 2014; Zhang et al., 2016). In fact, no QTL for cotton yield itself has been reported for pima cotton.…”

Section: Introductionmentioning

confidence: 99%

QTL analysis of agronomic, fiber quality, and abiotic stress tolerance traits in a recombinant inbred population of pima cotton

Abdelraheem

Fang

Dever³

et al. 2020

Crop Science

Self Cite

View full text Add to dashboard Cite

Pima cotton (Gossypium barbadense L.) is grown for its superior fiber quality in four U.S. states and in several other countries. However, there is a lack of information on major and stable quantitative trait loci (QTL) for fiber quality and agronomic traits and abiotic stress tolerance across different environments. In this study, a genetic linkage map based on 403 simple sequence repeat (SSR) markers was developed for the Pima S‐6/89590 intraspecific mapping population consisting of 161 recombinant inbred lines (RILs). Through the evaluation of the RIL population in seven field tests for agronomic traits and fiber quality in the four pima cotton‐growing U.S. states and four greenhouse tests for drought and salinity tolerance, a total of 156 QTL were detected. Eight QTL clusters and four hotspots were further identified, and many of the QTL and their clusters and hotspots were consistent with previous studies that will be useful for marker‐assisted selection. Using a basic local alignment search tool (BLAST) search against the sequenced Pima 3‐79 genome, 26, 16, 32, 14, 127, and 14 candidate genes were predicted for 15 stable QTL on six chromosomes (chromosomes 3, 10, 12, 19, 21, and 24, respectively), for fiber quality traits and abiotic stress tolerance. These genomic regions were rich in genes related to fiber developments and abiotic stress responses. This study provides important information on new and stable QTL across environments for developing superior American pima cotton.

show abstract

“…Thus, researchers have suggested, the use of large a recombinant inbred lines (RIL) population to study stress tolerance and genetic relationships [115]. A RIL population containing 146 lines was prepared to evaluate drought stress tolerance using PEG6000 under greenhouse conditions [116]. The same RIL population was used under field conditions to study drought tolerance.…”

Section: Molecular Genetic Basis and Qtls For Drought Tolerance In Comentioning

confidence: 99%

Insights into Drought Stress Signaling in Plants and the Molecular Genetic Basis of Cotton Drought Tolerance

Mahmood

Khalid

Abdullah

et al. 2019

Cells

254

141

View full text Add to dashboard Cite

Drought stress restricts plant growth and development by altering metabolic activity and biological functions. However, plants have evolved several cellular and molecular mechanisms to overcome drought stress. Drought tolerance is a multiplex trait involving the activation of signaling mechanisms and differentially expressed molecular responses. Broadly, drought tolerance comprises two steps: stress sensing/signaling and activation of various parallel stress responses (including physiological, molecular, and biochemical mechanisms) in plants. At the cellular level, drought induces oxidative stress by overproduction of reactive oxygen species (ROS), ultimately causing the cell membrane to rupture and stimulating various stress signaling pathways (ROS, mitogen-activated-protein-kinase, Ca2+, and hormone-mediated signaling). Drought-induced transcription factors activation and abscisic acid concentration co-ordinate the stress signaling and responses in cotton. The key responses against drought stress, are root development, stomatal closure, photosynthesis, hormone production, and ROS scavenging. The genetic basis, quantitative trait loci and genes of cotton drought tolerance are presented as examples of genetic resources in plants. Sustainable genetic improvements could be achieved through functional genomic approaches and genome modification techniques such as the CRISPR/Cas9 system aid the characterization of genes, sorted out from stress-related candidate single nucleotide polymorphisms, quantitative trait loci, and genes. Exploration of the genetic basis for superior candidate genes linked to stress physiology can be facilitated by integrated functional genomic approaches. We propose a third-generation sequencing approach coupled with genome-wide studies and functional genomic tools, including a comparative sequenced data (transcriptomics, proteomics, and epigenomic) analysis, which offer a platform to identify and characterize novel genes. This will provide information for better understanding the complex stress cellular biology of plants.

show abstract

The first linkage map for a recombinant inbred line population in cotton (Gossypium barbadense) and its use in studies of PEG-induced dehydration tolerance

Cited by 21 publications

References 87 publications

A high-density genetic map of extra-long staple cotton (Gossypium barbadense) constructed using genotyping-by-sequencing based single nucleotide polymorphic markers and identification of fiber traits-related QTL in a recombinant inbred line population

A high-density genetic map of extra-long staple cotton (Gossypium barbadense) constructed using genotyping-by-sequencing based single nucleotide polymorphic markers and identification of fiber traits-related QTL in a recombinant inbred line population

QTL analysis of agronomic, fiber quality, and abiotic stress tolerance traits in a recombinant inbred population of pima cotton

Insights into Drought Stress Signaling in Plants and the Molecular Genetic Basis of Cotton Drought Tolerance

Contact Info

Product

Resources

About