scholarly journals Identification of Genomic Regions Controlling Chalkiness and Grain Characteristics in a Recombinant Inbred Line Rice Population Based on High-Throughput SNP Markers

Genes ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1690
Author(s):  
Yheni Dwiningsih ◽  
Anuj Kumar ◽  
Julie Thomas ◽  
Charles Ruiz ◽  
Jawaher Alkahtani ◽  
...  
Keyword(s):  
Candidate Genes ◽  
High Throughput ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred ◽  
Genetic Information ◽  
Snp Markers ◽  
Rice Grain ◽  
Grain Length ◽  
Ril Population

Rice (Oryza sativa L.) is the primary food for half of the global population. Recently, there has been increasing concern in the rice industry regarding the eating and milling quality of rice. This study was conducted to identify genetic information for grain characteristics using a recombinant inbred line (RIL) population from a japonica/indica cross based on high-throughput SNP markers and to provide a strategy for improving rice quality. The RIL population used was derived from a cross of “Kaybonnet (KBNT lpa)” and “ZHE733” named the K/Z RIL population, consisting of 198 lines. A total of 4133 SNP markers were used to identify quantitative trait loci (QTLs) with higher resolution and to identify more accurate candidate genes. The characteristics measured included grain length (GL), grain width (GW), grain length to width ratio (RGLW), hundred grain weight (HGW), and percent chalkiness (PC). QTL analysis was performed using QTL IciMapping software. Continuous distributions and transgressive segregations of all the traits were observed, suggesting that the traits were quantitatively inherited. A total of twenty-eight QTLs and ninety-two candidate genes related to rice grain characteristics were identified. This genetic information is important to develop rice varieties of high quality.

scholarly journals Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl Millet

2021 ◽  
Vol 12 ◽  
Author(s):  
Tripti Singhal ◽  
C. Tara Satyavathi ◽  
S. P. Singh ◽  
Aruna Kumar ◽  
S. Mukesh Sankar ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Map ◽  
Candidate Genes ◽  
Pearl Millet ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Quantitative Trait ◽  
Recombinant Inbred ◽  
Zn Content ◽  
Ril Population

Pearl millet is a climate-resilient, nutritious crop with low input requirements that could provide economic returns in marginal agro-ecologies. In this study, we report quantitative trait loci (QTLs) for iron (Fe) and zinc (Zn) content from three distinct production environments. We generated a genetic linkage map using 210 F6 recombinant inbred line (RIL) population derived from the (PPMI 683 × PPMI 627) cross using genome-wide simple sequence repeats (SSRs). The molecular linkage map (seven linkage groups) of 151 loci was 3,273.1 cM length (Kosambi). The content of grain Fe in the RIL population ranged between 36 and 114 mg/Kg, and that of Zn from 20 to 106 mg/Kg across the 3 years (2014–2016) at over the three locations (Delhi, Dharwad, and Jodhpur). QTL analysis revealed a total of 22 QTLs for grain Fe and Zn, of which 14 were for Fe and eight were for Zn on three consecutive years at all locations. The observed phenotypic variance (R2) explained by different QTLs for grain Fe and Zn content ranged from 2.85 (QGFe.E3.2014–2016_Q3) to 19.66% (QGFe.E1.2014–2016_Q3) and from 2.93 (QGZn.E3.2014–2016_Q3) to 25. 95% (QGZn.E1.2014–2016_Q1), respectively. Two constitutive expressing QTLs for both Fe and Zn co-mapped in this population, one on LG 2 and second one on LG 3. Inside the QTLs candidate genes such as Ferritin gene, Al3+ Transporter, K+ Transporters, Zn2+ transporters and Mg2+ transporters were identified using bioinformatics approaches. The identified QTLs and candidate genes could be useful in pearl millet population improvement programs, seed, restorer parents, and marker-assisted selection programs.

QTL mapping of resistance to powdery mildew race 1 in a recombinant inbred line population of melon

Plant Disease ◽  
2021 ◽  
Author(s):  
Sandra Branham ◽  
Chandrasekar S Kousik ◽  
Mihir Mandal ◽  
Patrick Wechter
Keyword(s):  
South Carolina ◽  
Powdery Mildew ◽  
Qtl Mapping ◽  
Candidate Genes ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred ◽  
Missense Mutations ◽  
Race 1 ◽  
Whole Genome Resequencing

Powdery mildew, caused by the fungus Podosphaera xanthii, is one of the most important diseases of melon. While there are several pathogenic races of P. xanthii, race 1 is the predominant race in South Carolina and the U.S. We used a densely genotyped recombinant inbred line melon population for traditional QTL mapping, to identify two major (qPx1-5 and qPx1-12) and two minor (qPx1-4 and qPx1-10) QTLs (named according to race – chromosome number) associated with resistance to P. xanthii race 1. QTL mapping of disease severity in multiple tissues (hypocotyl, cotyledons, true leaves and stems) identified the same genetic basis of resistance in all tissue types. Whole-genome resequencing of the parents was used for marker development across the major QTLs and functional annotation of SNPs for candidate gene analysis. KASP markers were tightly linked to the QTL peaks of qPx1-5 (pm1-5_25329892, pm1-5_25461503 and pm1-5_25625375) and qPx1-12 (pm1-12_22848920 and pm1-12_22904659) in the population and will enable efficient marker-assisted introgression of powdery mildew resistance into improved germplasm. Candidate genes were identified in both major QTL intervals that encode putative R genes with missense mutations between the parents. The candidate genes provide targets for future breeding efforts and a fundamental examination of resistance to powdery mildew in melon.

scholarly journals Genetic loci mapping for ear axis weight using recombinant inbred line (RIL) population under different nitrogen regimes in maize

2011 ◽  
Vol 10 (42) ◽  
pp. 8255-8259 ◽  
Author(s):  
Zheng Zu Ping ◽  
Liu Xiao Hong ◽  
Wu Xun ◽  
Zhang Yong Si ◽  
He Chuan
Keyword(s):  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred ◽  
Genetic Loci ◽  
Ril Population

Linkage map construction and quantitative trait loci (QTL) mapping using intermated vs. selfed recombinant inbred maize line (Zea mays L.)

2015 ◽  
Vol 95 (6) ◽  
pp. 1133-1144
Author(s):  
R. Khanal ◽  
A. Navabi ◽  
L. Lukens
Keyword(s):  
Quantitative Trait Loci ◽  
Qtl Mapping ◽  
Linkage Map ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Quantitative Trait ◽  
Recombinant Inbred ◽  
Map Construction ◽  
Ril Population ◽  
Trait Loci

Khanal, R., Navabi, A. and Lukens, L. 2015. Linkage map construction and quantitative trait loci (QTL) mapping using intermated vs. selfed recombinant inbred maize line (Zea mays L.). Can. J. Plant Sci. 95: 1133–1144. Intermating of individuals in an F2 population increases genetic recombination between markers, which is useful for linkage map construction and quantitative trait loci (QTL) mapping. The objectives of this study were to compare the linkage maps and precision of QTL detection in an intermated recombinant inbred line (IRIL) population and a selfed recombinant inbred line (RIL) population. Both, IRIL and RIL, populations were developed from Zea mays inbred lines CG60 and CG102. The populations were grown in two environments to evaluate traits, and inbred lines from each population were genotyped with SSR and SNP markers for linkage map construction and QTL identification. In addition, we simulated RIL and IRIL populations from two inbred parents to compare the precision of QTL detection between simulated RIL and IRIL populations. In the empirical study, the linkage map was longer in RIL as compared with IRIL, and the average QTL support interval was reduced by 1.37-fold in the IRIL population compared with the RIL population. We detected 16 QTL for flowering time, plant height, leaf number, and stay green in at least one recombinant inbred line population. Two out of 16 QTL were shared between two recombinant inbred line populations. In the simulation study, the QTL support interval was reduced by 1.66-fold in the IRIL population as compared with the RIL population and linked QTL were identified more frequently in IRIL population as compared with RIL population. This study supports the utility of intermated RIL populations for precise QTL mapping.

scholarly journals Quantitative Trait Locus Mapping for Drought Tolerance in Soybean Recombinant Inbred Line Population

Plants ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1816
Author(s):  
Sanjeev Kumar Dhungana ◽  
Ji-Hee Park ◽  
Jae-Hyeon Oh ◽  
Beom-Kyu Kang ◽  
Jeong-Hyun Seo ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Quantitative Trait ◽  
Recombinant Inbred ◽  
Reproductive Traits ◽  
Snp Markers ◽  
Yield Reduction ◽  
Phenotypic Variance ◽  
Potential Candidate

Improving drought stress tolerance of soybean could be an effective way to minimize the yield reduction in the drought prevailing regions. Identification of drought tolerance-related quantitative trait loci (QTLs) is useful to facilitate the development of stress-tolerant varieties. This study aimed to identify the QTLs for drought tolerance in soybean using a recombinant inbred line (RIL) population developed from the cross between a drought-tolerant ‘PI416937’ and a susceptible ‘Cheonsang’ cultivar. Phenotyping was done with a weighted drought coefficient derived from the vegetative and reproductive traits. The genetic map was constructed using 2648 polymorphic SNP markers that distributed on 20 chromosomes with a mean genetic distance of 1.36 cM between markers. A total of 10 QTLs with 3.52–4.7 logarithm of odds value accounting for up to 12.9% phenotypic variance were identified on seven chromosomes. Five chromosomes—2, 7, 10, 14, and 20—contained one QTL each, and chromosomes 1 and 19 harbored two and three QTLs, respectively. The chromosomal locations of seven QTLs overlapped or located close to the related QTLs and/or potential candidate genes reported earlier. The QTLs and closely linked markers could be utilized in maker-assisted selection to accelerate the breeding for drought tolerance in soybean.

scholarly journals A multi-parent recombinant inbred line population of Caenorhabditis elegans enhances mapping resolution and identification of novel QTLs for complex life-history traits

2018 ◽  
Author(s):  
Basten L. Snoek ◽  
Rita J.M. Volkers ◽  
Harm Nijveen ◽  
Carola Petersen ◽  
Philipp Dirksen ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Life History ◽  
Caenorhabditis Elegans ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Qtl Analysis ◽  
Recombinant Inbred ◽  
Life History Traits ◽  
Rna Seq ◽  
Ril Population

AbstractLocal populations of the bacterivorous nematode Caenorhabditis elegans can be genetically almost as diverse as global populations. To investigate the effect of local genetic variation on heritable traits, we developed a new recombinant inbred line (RIL) population derived from four wild isolates. The wild isolates were collected from two closely located sites in France: Orsay and Santeuil. By crossing these four genetically diverse parental isolates a population of 200 RILs was constructed. RNA-seq was used to obtain sequence polymorphisms identifying almost 9000 SNPs variable between the four genotypes with an average spacing of 11 kb, possibly doubling the mapping resolution relative to currently available RIL panels. The SNPs were used to construct a genetic map to facilitate QTL analysis. Life history traits, such as lifespan, stress resistance, developmental speed and population growth were measured in different environments. For most traits substantial variation was found, and multiple QTLs could be detected, including novel QTLs not found in previous QTL analysis, for example for lifespan or pathogen responses. This shows that recombining genetic variation across C. elegans populations that are in geographical close proximity provides ample variation for QTL mapping. Taken together, we show that RNA-seq can be used for genotyping, that using more parents than the classical two parental genotypes to construct a RIL population facilitates the detection of QTLs and that the use of wild isolates permits analysis of local adaptation and life history trade-offs.

scholarly journals Detection of QTLs for panicle-related traits using an indica × japonica recombinant inbred line population in rice

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12504
Author(s):  
Guan Li ◽  
Yichen Cheng ◽  
Man Yin ◽  
Jinyu Yang ◽  
Jiezheng Ying ◽  
...  
Keyword(s):  
Grain Yield ◽  
Linkage Map ◽  
Genetic Map ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred Line Population ◽  
Recombinant Inbred ◽  
High Density ◽  
Rice Grain ◽  
High Density Linkage Map

Background The panicle is the most important organ in rice, and all the panicle-related traits are correlated with rice grain yield. Understanding the underlying genetic mechanisms controlling panicle development is very important for improving rice production. Methods Nine panicle-related traits including heading date, panicle length, number of primary branches, number of secondary branches, number of grains per panicle, number of panicles per plant, number of filled grains per plant, seed-setting rate, and grain yield per plant were investigated. To map the quantitative trait loci (QTLs) for the nine panicle-related traits, a PCR-based genetic map with 208 markers (including 121 simple sequence repeats and 87 InDels) and a high-density linkage map with 18,194 single nucleotide polymorphism (SNP) markers were both used. Results Using a recombinant inbred line population derived from an indica variety Huanghuazhan and a japonica line Jizi 1560, a total of 110 and 112 QTLs were detected for panicle-related traits by PCR-based genetic map and by high-density linkage map, respectively. Most of the QTLs were clustered on chromosomes 1, 2, 3, 6, and 7 while no QTLs were detected on chromosome 10. Almost all the QTLs with LOD values of more than 5.0 were repeatedly detected, indicating the accuracy of the two methods and the stability of the QTL effects. No genes for panicle-related traits have been previously reported in most of these regions. QTLs found in JD1006–JD1007 and RM1148–RM5556 with high LOD and additive values deserved further research. The results of this study are beneficial for marker-assisted breeding and provide research foundation for further fine-mapping and cloning of these QTLs for panicle-related traits.

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