scholarly journals Identification of fruit size associated quantitative trait loci featuring SLAF based high-density linkage map of goji berry (Lycium spp.)

2020 ◽  
Author(s):  
Fazal Rehman ◽  
Haiguang Gong ◽  
Zhong Li ◽  
Shaohua Zeng ◽  
Tianshun Yang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Map ◽  
Quantitative Trait ◽  
De Novo ◽  
Fruit Size ◽  
Fruit Weight ◽  
Potential Candidate ◽  
Multiple Traits ◽  
Goji Berry ◽  
Trait Loci

Abstract Background: Goji (Lycium spp., 2n = 24) is a fruit bearing woody plant popular as a superfood for extensive medicinal and nutritional advantages. Fruit size associated attributes are important for evaluating small-fruited goji berry and plant architecture. The domestication traits are regulated quantitatively in crop plants but few studies have attempted on genomic regions corresponding to fruit traits. Results: In this study, we established high-resolution map using specific locus amplified fragment (SLAF) sequencing for de novo SNPs detection based on 305 F1 individuals derived from L. chinense and L. barbarum and performed quantitative trait loci (QTL) analysis of fruit size related traits in goji berry. The genetic map contained 3,495 SLAF markers on 12 LGs, spanning 1,649.03 cM with 0.47 cM average interval. Female and male parents and F1 individuals` sequencing depth was 111.85-fold and 168.72-fold and 35.80-fold, respectively. The phenotype data were collected for 2 successive years (2018-2019); however, two-year mean data were combined in an extra year (1819). Total 117 QTLs were detected corresponding to multiple traits, of which 78 QTLs in 2 individual years and 36 QTLs in extra year. 6 Promising QTLs (qFW10-6.1, qFL10-2.1, qLL10-2.1, qLD10-2.1, qLD12-4.1, qLA10-2.1) were discovered influencing fruit weight, fruit length and leaf related attributes covering an interval ranged from 27.32-71.59 cM on LG10 with peak LOD of 10.48 and 14.6% PVE. Three QTLs targeting fruit sweetness (qFS3-1, qFS5-2) and fruit firmness (qFF10-1) were also identified. Strikingly, various traits QTLs were overlapped on LG10, in particular, qFL10-2.1 was co-located with qLL10-2.1, qLD10-2.1 and qLA10-2.1 among stable QTLs, harbored tightly linked markers, while qLL10-1 was one major QTL with 14.21 highest LOD and 19.3% variance. As LG10 harbored important traits QTLs, we might speculate that it could be hotspot region regulating fruit size and plant architectures. Conclusions: This report highlighted the extremely saturated linkage map using SLAF-seq and novel loci contributing fruit size-related attributes in goji berry. Our results will shed light on domestication traits and further strengthen molecular and genetic underpinnings of goji berry; moreover, these findings would better facilitate to assemble the reference genome, determining potential candidate genes and marker-assisted breeding.

scholarly journals Identification of fruit size associated quantitative trait loci featuring SLAF based high-density linkage map of goji berry (Lycium spp.)

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Fazal Rehman ◽  
Haiguang Gong ◽  
Zhong Li ◽  
Shaohua Zeng ◽  
Tianshun Yang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Map ◽  
Quantitative Trait ◽  
De Novo ◽  
Fruit Size ◽  
Fruit Weight ◽  
Potential Candidate ◽  
Multiple Traits ◽  
Goji Berry ◽  
Trait Loci

Abstract Background Goji (Lycium spp., 2n = 24) is a fruit bearing woody plant popular as a superfood for extensive medicinal and nutritional advantages. Fruit size associated attributes are important for evaluating small-fruited goji berry and plant architecture. The domestication traits are regulated quantitatively in crop plants but few studies have attempted on genomic regions corresponding to fruit traits. Results In this study, we established high-resolution map using specific locus amplified fragment (SLAF) sequencing for de novo SNPs detection based on 305 F1 individuals derived from L. chinense and L. barbarum and performed quantitative trait loci (QTL) analysis of fruit size related traits in goji berry. The genetic map contained 3495 SLAF markers on 12 LGs, spanning 1649.03 cM with 0.47 cM average interval. Female and male parents and F1 individuals` sequencing depth was 111.85-fold and 168.72-fold and 35.80-fold, respectively. The phenotype data were collected for 2 successive years (2018–2019); however, two-year mean data were combined in an extra year (1819). Total 117 QTLs were detected corresponding to multiple traits, of which 78 QTLs in 2 individual years and 36 QTLs in extra year. Six Promising QTLs (qFW10–6.1, qFL10–2.1, qLL10–2.1, qLD10–2.1, qLD12–4.1, qLA10–2.1) were discovered influencing fruit weight, fruit length and leaf related attributes covering an interval ranged from 27.32–71.59 cM on LG10 with peak LOD of 10.48 and 14.6% PVE. Three QTLs targeting fruit sweetness (qFS3–1, qFS5–2) and fruit firmness (qFF10–1) were also identified. Strikingly, various traits QTLs were overlapped on LG10, in particular, qFL10–2.1 was co-located with qLL10–2.1, qLD10–2.1 and qLA10–2.1 among stable QTLs, harbored tightly linked markers, while qLL10–1 was one major QTL with 14.21 highest LOD and 19.3% variance. As LG10 harbored important traits QTLs, we might speculate that it could be hotspot region regulating fruit size and plant architectures. Conclusions This report highlights the extremely saturated linkage map using SLAF-seq and novel loci contributing fruit size-related attributes in goji berry. Our results will shed light on domestication traits and further strengthen molecular and genetic underpinnings of goji berry; moreover, these findings would better facilitate to assemble the reference genome, determining potential candidate genes and marker-assisted breeding.

scholarly journals Identification of fruit size associated quantitative trait loci featuring SLAF based high-density linkage map of goji berry (Lycium spp.)

2020 ◽  
Author(s):  
Fazal Rehman ◽  
Haiguang Gong ◽  
Zhong Li ◽  
Shaohua Zeng ◽  
Tianshun Yang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Map ◽  
Quantitative Trait ◽  
De Novo ◽  
Fruit Size ◽  
Fruit Weight ◽  
Potential Candidate ◽  
Multiple Traits ◽  
Goji Berry ◽  
Trait Loci

Abstract Background: Goji (Lycium spp., 2n = 24) is a fruit bearing woody plant popular as a superfood for extensive medicinal and nutritional advantages. Fruit size associated attributes are important for evaluating small-fruited goji berry and plant architecture. The domestication traits are regulated quantitatively in crop plants but few studies have attempted on genomic regions corresponding to fruit traits.Results: In this study, we established high-resolution map using specific locus amplified fragment (SLAF) sequencing for de novo SNPs detection based on 305 F1 individuals derived from L. chinense and L. barbarum and performed quantitative trait loci (QTL) analysis of fruit size related traits in goji berry. The genetic map contained 3,495 SLAF markers on 12 LGs, spanning 1,649.03 cM with 0.47 cM average interval. Female and male parents and F1 individuals` sequencing depth was 111.85-fold and 168.72-fold and 35.80-fold, respectively. The phenotype data were collected for 2 successive years (2018-2019); however, two-year mean data were combined in an extra year (1819). Total 117 QTLs were detected corresponding to multiple traits, of which 78 QTLs in 2 individual years and 36 QTLs in extra year. 6 Promising QTLs (qFW10-6.1, qFL10-2.1, qLL10-2.1, qLD10-2.1, qLD12-4.1, qLA10-2.1) were discovered influencing fruit weight, fruit length and leaf related attributes covering an interval ranged from 27.32-71.59 cM on LG10 with peak LOD of 10.48 and 14.6% PVE. Three QTLs targeting fruit sweetness (qFS3-1, qFS5-2) and fruit firmness (qFF10-1) were also identified. Strikingly, various traits QTLs were overlapped on LG10, in particular, qFL10-2.1 was co-located with qLL10-2.1, qLD10-2.1 and qLA10-2.1 among stable QTLs, harbored tightly linked markers, while qLL10-1 was one major QTL with 14.21 highest LOD and 19.3% variance. As LG10 harbored important traits QTLs, we might speculate that it could be hotspot region regulating fruit size and plant architectures.Conclusions: This report highlights the extremely saturated linkage map using SLAF-seq and novel loci contributing fruit size-related attributes in goji berry. Our results will shed light on domestication traits and further strengthen molecular and genetic underpinnings of goji berry; moreover, these findings would better facilitate to assemble the reference genome, determining potential candidate genes and marker-assisted breeding.

scholarly journals Identification of fruit size associated quantitative trait loci featuring SLAF based high-density linkage map of goji berry (Lycium spp.)

2020 ◽  
Author(s):  
Fazal Rehman ◽  
Haiguang Gong ◽  
Zhong Li ◽  
Shaohua Zeng ◽  
Tianshun Yang ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Linkage Map ◽  
Genetic Map ◽  
De Novo ◽  
Fruit Size ◽  
Leaf Size ◽  
High Density ◽  
Potential Candidate ◽  
Goji Berry ◽  
High Density Linkage Map

Abstract Background: Goji (Lycium spp., 2n = 24) is a perennial woody plant bearing functional properties. Fruit size associated attributes are important for evaluating small-fruited goji berry and plant architecture. The domestication traits are regulated quantitatively in crop plants but fewer studies have attempted on genomic regions corresponding to the fruit traits.Results: In this study, we established high-resolution map using SLAF-seq for de novo SNPs detection, based on 305 F1 offspring derived from L. chinense and L. barbarum. This genetic map contained 3,495 SNP markers on 12 LGs, spanning 1,649.03 cM with 0.47 cM average interval. Female and male parents had sequencing depth of 72.43-fold and 60.43-fold, respectively, while 15.23-fold detected for individuals. Phenotype data were obtained for 2 years and included 3rd year data as an average. QTL mapping analysis resulted in 117 QTLs corresponding to all traits, of which 23 QTLs in 2 years and 6 QTLs in 3rd years were detected. 6 promising QTLs, qFW10-3.1, qFL10-2.1, qLL10-2.1, qLD10-2.1, qLD12-4.1 and qLA10-2.1 were discovered influencing fruit weight, fruit length and leaf size related attributes covering an interval ranged 13.74-76.61 cM on LG10 with peak LOD up to 14.21 and PVE 19.3%. Additionally, 3 QTLs, qFS-1, qFS-2 and qFF-1, targeting fruit sweetness and fruit firmness were also identified in this study. Strikingly, among stable QTLs, qFL10-2.1, was co-localized to qLL10-2.1, qLD10-2.1, qLA10-2.1 and harbored significantly similar markers distribution, while qLL10-2.1 was the major and stable QTL with LOD ranged from 8.71-14.21 and PVE 12.3-19.3%. As LG10 harbored most of the fruit and leaf size related QTLs, we might speculate that it could be a hotspot region regulating fruit size and plant architectures.Conclusions: This report highlighted that the high-density linkage map construction using SLAF-seq is an important means for profound QTL mapping approach. Substantially, we utilized highly saturated genetic map to find out genetic locus targeting fruit and leaf size related attributes under QTL mapping. Our results will shed light on domestication traits and further strengthen molecular and genetic underpinnings of goji berry. Moreover, these findings would facilitate to assemble reference genome, determining potential candidate genes and marker-assisted breeding.

Application of the False Discovery Rate to Quantitative Trait Loci Interval Mapping With Multiple Traits

Genetics ◽  
2002 ◽  
Vol 161 (2) ◽  
pp. 905-914 ◽  
Author(s):  
Hakkyo Lee ◽  
Jack C M Dekkers ◽  
M Soller ◽  
Massoud Malek ◽  
Rohan L Fernando ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
False Discovery Rate ◽  
Error Rate ◽  
Quantitative Trait ◽  
Interval Mapping ◽  
Error Rates ◽  
Multiple Traits ◽  
Test Statistic ◽  
False Discovery ◽  
Trait Loci

Abstract Controlling the false discovery rate (FDR) has been proposed as an alternative to controlling the genomewise error rate (GWER) for detecting quantitative trait loci (QTL) in genome scans. The objective here was to implement FDR in the context of regression interval mapping for multiple traits. Data on five traits from an F2 swine breed cross were used. FDR was implemented using tests at every 1 cM (FDR1) and using tests with the highest test statistic for each marker interval (FDRm). For the latter, a method was developed to predict comparison-wise error rates. At low error rates, FDR1 behaved erratically; FDRm was more stable but gave similar significance thresholds and number of QTL detected. At the same error rate, methods to control FDR gave less stringent significance thresholds and more QTL detected than methods to control GWER. Although testing across traits had limited impact on FDR, single-trait testing was recommended because there is no theoretical reason to pool tests across traits for FDR. FDR based on FDRm was recommended for QTL detection in interval mapping because it provides significance tests that are meaningful, yet not overly stringent, such that a more complete picture of QTL is revealed.

scholarly journals Identification and Verification of Quantitative Trait Loci Affecting Milling Yield of Rice

Agronomy ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 75 ◽  
Author(s):  
Hui Zhang ◽  
Yu-Jun Zhu ◽  
An-Dong Zhu ◽  
Ye-Yang Fan ◽  
Ting-Xu Huang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Brown Rice ◽  
Yield Traits ◽  
Multiple Traits ◽  
Milled Rice ◽  
Milling Quality ◽  
Head Rice ◽  
Trait Loci ◽  
Milling Yield

Rice is generally consumed in the form of milled rice. The yield of total milled rice and head mill rice is affected by both the paddy rice yield and milling efficiency. In this study, three recombinant inbred line (RIL) populations and one F4:5 population derived from a residual heterozygous (RH) plant were used to determine quantitative trait loci (QTLs) affecting milling yield of rice. Seven traits were analyzed, including recovery of brown rice (BR), milled rice (MR) and head rice (HR); grain yield (GY); and the yield of brown rice (BRY), milled rice (MRY) and head rice (HRY). A total of 77 QTLs distributed on 35 regions was detected in the three RIL populations. Four regions, where qBR5, qBR7, qBR10, and qBR12 were located, were validated in the RH-derived F4:5 population. In the three RIL populations, all the 11 QTLs for GY detected were accompanied with QTLs for two or all the three milling yield traits. Not only the allele direction for milling yield traits was unchanged, but also the effects were consistent with GY. In the RH-derived F4:5 population, regions controlling GY also affected all three milling yield traits. Results indicated that variations of BRY and MRY were mainly ascribed to GY, but HRY was determined by both GY and HR. Results also showed that the regions covering GW5–Chalk5 and Wx loci had major effects on milling quality and milling yield of rice. These two regions, which have been known to affect multiple traits determining grain quality and yield of rice, provide good candidates for milled yield improvement.

Theobroma cacao L.: a genetic linkage map and quantitative trait loci analysis

1996 ◽  
Vol 93 (1-2) ◽  
pp. 205-214 ◽  
Author(s):  
D. Crouzillat ◽  
E. Lerceteau ◽  
V. Petiard ◽  
J. Morera ◽  
H. Rodriguez ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Map ◽  
Quantitative Trait ◽  
Theobroma Cacao ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Trait Loci ◽  
Theobroma Cacao L

Mapping of quantitative trait loci underlying resistance to cassava anthracnose disease

2015 ◽  
Vol 154 (7) ◽  
pp. 1209-1217 ◽  
Author(s):  
A. BOONCHANAWIWAT ◽  
S. SRAPHET ◽  
S. WHANKAEW ◽  
O. BOONSENG ◽  
D. R. SMITH ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Map ◽  
Dna Markers ◽  
Quantitative Trait ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Gene Annotation ◽  
Linkage Groups ◽  
Anthracnose Disease ◽  
Trait Loci

SUMMARYCassava (Manihot esculenta Crantz) is an economically important root crop in Thailand, which is ranked the world's top cassava exporting country. Production of cassava can be hampered by several pathogens and pests. Cassava anthracnose disease (CAD) is an important disease caused by the fungus Colletotrichum gloeosporioides f. sp. manihotis. The pathogen causes severe stem damage resulting in yield reductions and lack of stem cuttings available for planting. Molecular studies of cassava response to CAD will provide useful information for cassava breeders to develop new varieties with resistance to the disease. The current study aimed to identify quantitative trait loci (QTL) and DNA markers associated with resistance to CAD. A total of 200 lines of two F1 mapping populations were generated by reciprocal crosses between the varieties Huabong60 and Hanatee. The F1 samples were genotyped based on simple sequence repeat (SSR) and expressed sequence tag-SSR markers and a genetic linkage map was constructed using the JoinMap®/version3·0 program. The results showed that the map consisted of 512 marker loci distributed on 24 linkage groups with a map length of 1771·9 centimorgan (cM) and a mean interval between markers of 5·7 cM. The genetic linkage map was integrated with phenotypic data for the response to CAD infection generated by a detached leaf assay test. A total of three QTL underlying the trait were identified on three linkage groups using the MapQTL®/version4·0 program. Those DNA markers linked to the QTL that showed high statistically significant values with the CAD resistance trait were identified for gene annotation analysis and 23 candidate resistance genes to CAD infection were identified.

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