QTL detection for growth traits in Pinus elliottii var. elliottii and P. caribaea var. hondurensis

Yang, Huixiao; Liu, Tianyi; Liu, Chun-xin; FenCheng, Zhao; Huang, Shaowei

doi:10.1007/s11632-013-0306-7

Cited by 7 publications

(6 citation statements)

References 24 publications

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“…It suggested that growth-related traits of Simao pine in different season/age might be in uenced by different genes/QTLs or that the QTLs stabilization varied by effect of environment change. This is in agreement with previous studies in woody tree that growth-related traits were mainly quantitative traits, which dominated by complex genes and easily affected by environment probably changes as the tree matures (Yang et al, 2013;Kenis & Keulemans, 2007). In other words, the multi-environment QTL analysis is more accurate than singleenvironment experiment for the heterozygous perennial woody tree growth-related traits QTL mapping (El-Soda et al, 2014).…”

Section: Discussionsupporting

confidence: 92%

QTL Mapping for Growth-Related Traits by Constructing the First Genetic Linkage Map in Simao pine

Wang

Shi

et al. 2020

Preprint

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Simao pine is one of primary economic tree species for resin and timber production in southwest China, the exploitation and utilization are constrained by relatively lacking the genetic information. Construction a fine genetic linkage map and detecting QTLs for growth-related traits is an important section in molecular breeding program for Simao Pine. In our study, a high-resolution Simao pine genetic map employing specific locus amplified fragment sequencing (SLAF-seq) with an F1 population has been constructed. There were 11,544 SNPs assigned to 12 linkage groups in the map, and the total length of the map was 2,062.85 cM with a mean distance of 0.37 cM between markers. According to the phenotypic variation analysis during three consecutive years, seventeen QTLs for four traits which including six for plant height (Dh.16.1, Dh16.2, Dh17.1, Dh18.1-3), five for basal diameter (Dbd.17.1-5), four for needle length (Dnl17.1-3, Dnl18.1) and two for needle diameter (Dnd17.1 and Dnd18.1) were identified. These QTLs individually explained phenotypic variance from 11.0-16.3 %, and the LOD value ranged from 2.52 to 3.87. The result in this study provide helpful information for genomic studies and marker-assisted selection (MAS) in Simao pine.

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Section: Discussionsupporting

confidence: 92%

QTL Mapping for Growth-Related Traits by Constructing the First Genetic Linkage Map in Simao pine

Wang

Shi

et al. 2020

Preprint

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“…It suggested that different genes/QTLs might in uence Simao pine's growth-related traits in different seasons/ages or that the QTLs stabilization varied by the effect of environmental change. In agreement with previous studies in the woody tree, growth-related traits were mainly quantitative traits, which dominated by involved genes and easily affected by the environment, probably changes as the tree matures (Yang et al, 2013;Kenis & Keulemans, 2007). In other words, the multi-environment QTL analysis is more accurate than a single-environment experiment for the heterozygous perennial woody tree growth-related traits QTL mapping (El-Soda et al, 2014).…”

Section: Discussionsupporting

confidence: 90%

QTL mapping for growth-related traits by constructing the first genetic linkage map in Simao pine

Wang

Chen

et al. 2020

Preprint

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Background: Simao pine is one of the primary economic tree species for resin and timber production in southwest China. The exploitation and utilization of Simao pine are constrained by the relatively lacking of genetic information. Construction a fine genetic linkage map and detecting quantitative trait locis (QTLs) for growth-related traits is a prerequisite section of Simao Pine's molecular breeding program. Results: In our study, a high-resolution Simao pine genetic map employed specific locus amplified fragment sequencing (SLAF-seq) technology and based on an F1 pseudo-testcross population has been constructed. There were 11,544 SNPs assigned to 12 linkage groups (LGs), and the total length of the map was 2,062.85 cM with a mean distance of 0.37 cM between markers. According to the phenotypic variation analysis for three consecutive years, a total of seventeen QTLs for four traits were detected. Among 17 QTLs, there were six for plant height (Dh.16.1, Dh16.2, Dh17.1, Dh18.1-3), five for basal diameter (Dbd.17.1-5), four for needle length (Dnl17.1-3, Dnl18.1) and two for needle diameter (Dnd17.1 and Dnd18.1) respectively. These QTLs individually explained phenotypic variance from 11.0-16.3 %, and the logarithm of odds (LOD) value ranged from 2.52 to 3.87. Conclusions: In our study, a fine genetic map of Simao pine applied the technology of SLAF-seq has been constructed for the first time. Based on the map, a total of 17 QTLs for four growth-related traits were identified. It provides helpful information for genomic studies and marker-assisted selection (MAS) in Simao pine.

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“…Expression instability of growth-related QTLs among years has been observed in many species [47,48]. Conson et al [16] measured tree height, number of whorls, and stem diameter at seven different ages in H. brasiliensis, while Yang et al [49] measured height and diameter at breast height over 2 years in Pinus elliottii (pelliottii), and the QTLs detected at different times did not cluster in the same region. These findings indicate that variations could be possible because different genes are involved in genotype-environment interactions or QTL regulation according to the developmental stage [50].…”

Section: Qtl Analysismentioning

confidence: 99%

“…The results of the phenotypic correlation analysis revealed plain positive correlations among tree height, ground diameter and crown diameter in E. ulmoides. The QTLs for different traits with high correlation tend to appear in clusters in H. brasiliensis [16], Populus (poplar) [15], P. elliottii [49], Prunus dulcis (almond) [19] and J. regia [31]. It was generally inferred that the gene may regulate and control the expression of multiple traits or that, QTLs/genes were linked closely [52,53].…”

Section: Qtl Analysismentioning

confidence: 99%

Update of Genetic Linkage Map and QTL Analysis for Growth Traits in Eucommia ulmoides Oliver

Jin

et al. 2020

Forests

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Eucommia ulmoides (Tu-chung) is an economically and ecologically important tree species which has attracted worldwide attention due to its application in pharmacology, landscaping, wind sheltering and sand fixation. Molecular marker technologies can elucidate the genetic mechanism and substantially improve the breeding efficiency of E. ulmoides. The current research updated the original linkage map, and quantitative trait loci (QTL) analysis was performed on tree growth traits measured over 10 consecutive years in an E. ulmoides F1 population (“Xiaoye” × “Qinzhong No.1”). In total, 452 polymorphic markers were scored from 365 simple sequence repeat (SSR) primers, with an average of 1.24 polymorphic markers per primer combination. The integrated map was 1913.29 cM (centimorgan) long, covering 94.10% of the estimated genome and with an average marker density of 2.20 cM. A total of 869 markers were mapped into 19 major independent linkage groups. Growth-related traits measured over 10 consecutive years showed a significant correlation, and 89 hypothetical QTLs were forecasted and divided into 27 distinct loci. Three traits for tree height, ground diameter and crown diameter detected 25 QTLs (13 loci), 32 QTLs (17 loci) and 15 QTLs (10 loci), respectively. Based on BLASTX search results in the NCBI database, six candidate genes were obtained. It is important to explore the growth-related genetic mechanism and lay the foundation for the genetic improvement of E. ulmoides at the molecular level.

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QTL detection for growth traits in Pinus elliottii var. elliottii and P. caribaea var. hondurensis

Cited by 7 publications

References 24 publications

QTL Mapping for Growth-Related Traits by Constructing the First Genetic Linkage Map in Simao pine

QTL Mapping for Growth-Related Traits by Constructing the First Genetic Linkage Map in Simao pine

QTL mapping for growth-related traits by constructing the first genetic linkage map in Simao pine

Update of Genetic Linkage Map and QTL Analysis for Growth Traits in Eucommia ulmoides Oliver

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