Introgression Line Population Research Articles

Comparison of the genetic basis of salt tolerance at germination, seedling, and reproductive stages in an introgression line population of rice.

Salinity is a major limitation for rice farming due to climate change. Since salt stress adversely impact rice plants at germination, seedling, and reproductive stages resulting in poor crop establishment and reduced grain yield, enhancing salt tolerance at these vulnerable growth stages will enhance rice productivity in salinity prone areas. An introgression line (ILs) population from a cross between a high yielding cultivar 'Cheniere' and a salt tolerant donor 'TCCP' was evaluated to map quantitative trait loci (QTLs) for traits associated with salt tolerance at germination, seedling, and reproductive stages. Using a genotyping-by-sequencing based high density SNP linkage map, a total of 7, 16, and 30 QTLs were identified for five germination traits, seven seedling traits, and ten reproductive traits, respectively. There was overlapping of QTLs for some traits at different stages indicating the pleiotropic effects of these QTLs or clustering of linked genes. Candidate genes identified for salt tolerance were OsSDIR1 and SERF for the seedling stage, WRKY55 and OsUBC for the reproductive stage, and MYB family transcription factors for all three stages. Gene ontology analysis revealed significant GO terms related to nucleotide binding, protein binding, protein kinase activity, antiporter activity, active transmembrane transporter activity, calcium-binding protein, and F- box protein interaction domain containing protein. The colocalized QTLs for traits at different growth stages would be helpful to improve multiple traits simultaneously using marker-assisted selection. The salt tolerant ILs have the potential to be released as varieties or as pre-breeding lines for developing salt tolerant rice varieties.

Identification of loci conferring resistance to 4 foliar diseases of maize.

Foliar diseases of maize are among the most important diseases of maize worldwide. This study focused on 4 major foliar diseases of maize: Goss's wilt, gray leaf spot, northern corn leaf blight, and southern corn leaf blight. QTL mapping for resistance to Goss's wilt was conducted in 4 disease resistance introgression line populations with Oh7B as the common recurrent parent and Ki3, NC262, NC304, and NC344 as recurrent donor parents. Mapping results for Goss's wilt resistance were combined with previous studies for gray leaf spot, northern corn leaf blight, and southern corn leaf blight resistance in the same 4 populations. We conducted (1) individual linkage mapping analysis to identify QTL specific to each disease and population; (2) Mahalanobis distance analysis to identify putative multiple disease resistance regions for each population; and 3) joint linkage mapping to identify QTL across the 4 populations for each disease. We identified 3 lines that were resistant to all 4 diseases. We mapped 13 Goss's wilt QTLs in the individual populations and an additional 6 using joint linkage mapping. All Goss's wilt QTL had small effects, confirming that resistance to Goss's wilt is highly quantitative. We report several potentially important chromosomal bins associated with multiple disease resistance including 1.02, 1.03, 3.04, 4.06, 4.08, and 9.03. Together, these findings indicate that disease QTL distribution is not random and that there are locations in the genome that confer resistance to multiple diseases. Furthermore, resistance to bacterial and fungal diseases is not entirely distinct, and we identified lines resistant to both fungi and bacteria, as well as loci that confer resistance to both bacterial and fungal diseases.

QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (Oryza sativa L.) Using Two Introgression Line Populations

Nutritional grain quality is mainly influenced by the protein fraction content and grain protein content. Quantitative trait loci (QTL) mining for five traits, about 245 and 284 BC3F3 individual families of two introgression line (IL) populations were derived from Kongyu 131/Cypress (population-I) and Kongyu 131/Vary Tarva Osla (population-II), respectively. A genetic linkage map was developed using 127 simple sequence repeat (SSR) markers in population-I and 119 SSR markers in population-II. In total, 20 and 5 QTLs were detected in population-I and population-II, respectively. About twenty QTLs were mapped in population-I: five QTLs for albumin, seven QTLs for globulin, six QTLs for prolamin, one QTL for glutelin, and one QTL for grain protein content. In total, five QTLs were mapped in population-II: one QTL for albumin and four QTLs for grain protein content. Out of 25 QTLs, 19 QTLs exhibit co-localization with the previously reported QTLs. QTL-like qGPC7.3 was delineated for total protein content. This QTL was derived from population-I and was successfully validated in NILs (near-isogenic lines). The grain protein phenotype showed a significant variation between two NILs. This investigation serves as groundwork for additional cloning of nutritional quality-related genes in rice grains.

Construction of a Tomato (Solanum lycopersicum L.) Introgression Line Population and Mapping of Major Agronomic Quantitative Trait Loci

Tomato as a fresh fruit has a large market share in China, but few new materials have been developed for such cultivar breeding in recent years. This study aims to create innovative breeding materials for fresh fruit tomatoes with consistent genetic backgrounds and take advantage of beneficial genes from wild germplasm resources. An introgression line (IL) population was constructed using freshly cultivated tomato S. lycopersicum 1052 and wild tomato S. pennellii LA0716 through hybridization and five consecutive backcrossings, with molecular marker-assisted selection techniques during seedling stages. A total of 447 cleaved amplified polymorphic sequences (CAPS) and 525 simple sequence repeat (SSR) markers were used to screen polymorphic markers among the two parental lines, resulting in 216 polymorphic CAPS and 236 polymorphic SSR markers, with 46.5% parental polymorphism. Then, 200 molecular markers uniformly distributed over the entire genome were further selected, and 107 ILs were finally obtained from 541 BC5 candidate plants. The physical distance between adjacent markers was 6.3~10.0 cm, with an average interval of 7.29 cm, and the IL population constructed covered the whole genome of S. pennillii LA0716, with an average introgression segment of 31.5 cm. Moreover, phenotype data of major agronomic traits in BC5 progeny after selfing two times, were analyzed for quantitative trait locus (QTL) mapping, and a total of 11 QTLs distributed on 6 chromosomes were identified, including 3 QTLs regulating plant height, 1 QTL regulating leaf size, 1 QTL regulating fruit color, 4 QTLs regulating fruit weight, and 2 QTLs regulating soluble solids content in ripening fruits. The IL population constructed in this study provided good materials for fresh fruit tomato breeding with improved yield and quality in the future.

Uncovering tomato candidate genes associated with drought tolerance using Solanum pennellii introgression lines.

Tomato plants are sensitive to drought stress throughout their growth cycle. To be considered drought-tolerant, a cultivar should display tolerance at all developmental stages. This study aimed to evaluate whether Solanum pennellii introgression lines (ILs) previously selected as drought-tolerant during germination/seedling growth maintained this tolerance in the vegetative/reproductive stage. We then investigated these ILs to uncover candidate genes. The plants were subjected to two different environmental conditions: well-watered and drought-stressed (water withheld for ≤ 20 d after flowering). Phenotyping for morphological, physiological, fruit quality, and yield-related traits was performed, and the data was analyzed using a mixed-model approach. Using a multi-trait index that relies on factor analysis and genotype-ideotype distance (FAI-BLUP index), the genotypes were ordered based on how far they were from the drought-tolerant ideotype. Afterward, the tomato IL population map furnished by the SOL Genomics Network was utilized to identify introgressed segments of significance for the identification of candidate genes. Significant genotypic differences were found in the yield, water content, mean weight, length, and width of the fruit, the percentage of fruits displaying blossom-end rot, and titratable acidity. The drought-tolerance ideotype was built considering the maximum values for the fruit water content, number of fruits, mean fruit weight, and yield, minimum values for blossom-end rot, and mean values for titratable acidity. IL 1-4-18, IL 7-4-1, IL 7-1, IL 7-5-5, and IL 1-2 were ranked above M-82 and therefore considered drought-tolerant during the vegetative/reproductive stage. IL 1-4-18 and IL1-2 sustained drought tolerance displayed during germination/seedling growth into the vegetative/reproductive stage. The following candidate genes associated with drought tolerance were identified: AHG2, At1g55840, PRXIIF, SAP5, REF4-RELATED 1, PRXQ, CFS1, LCD, CCD1, and SCS. Because they are already associated with genetic markers, they can be transferred to elite tomato cultivars through marker-assisted technology after validation.

QTL Mapping for Fiber Quality Based on Introgression Lines Population from G. hirsutum × G. tomentosum

As one of the most widely cultivated cotton species in China, upland cotton has moderate fiber quality and wide applicability, but its genetic basis is relatively narrow. To expand genetic diversity and improve fiber quality, in this study an introgression population (BC5S5) containing 107 lines was constructed by using G. hirsutum acc. 4105 as the recurrent parent and G. tomentosum as the donor parent. Using the specific-locus amplified fragment sequencing (SLAF-seq) strategy, 3157 high-throughput single nucleotide polymorphism (SNP) markers were obtained. Linkage analysis showed that a total of ninety-one QTLs related to fiber quality traits were detected in three environments, and the phenotypic variance explained (PVE) rates were 4.53–20.92%. Forty-six QTL (50.55%) synergistic genes were derived from G. tomentosum. Among them, qFS-A02-1 and qSCI-A02-1 were stably detected with a PVE of 9.8–16.71% and 14.78–20.92%, respectively. Within the candidate interval, Ghir_A02G012730, Ghir_A02G012790 and Ghir_A02G012830 were found to be possibly involved in cellulose and cell wall biosynthesis, with a relatively high expression during fiber development, 20 DPA and 25 DPA, which suggested that these three genes may be involved in the regulation of fiber strength traits, but their functions need further validation to determine the regulatory mechanism. Our research lays the foundation of fiber quality related to basic genetic research and breeding in cotton.

Exploring the trade-off between individual fitness and community performance of wheat crops using simulated canopy shade.

The genetic heritage of wheat (Triticum spp.) crops has been shaped by millions of years of predomestication natural selection, often driven by competition among individuals. However, genetic improvements in yield potential are thought to involve selection towards reduced competitiveness, thus enhancing adaptation to the crop environment. We investigated potential trade-offs between individual plant fitness and community performance using a population of introgression lines carrying chromosome segments of wild emmer (nondomesticated) in the background of an elite durum cultivar. We focused on light as a primary factor affecting plant-plant interactions and assessed morphological and biomass phenotypes of single plants grown in mixtures under sunlight and a simulated canopy shade, and the relevance of these phenotypes for the monoculture community in the field. We found that responses to canopy shade resemble responses to high density and contribute to both the individual and the community. Stepwise regressions suggested that grain number per spike and its persistence under shade are essential attributes of productive communities, advocating their use as a breeding target during early-generation selection. Overall, multiple phenotypes attained under shade could better explain community performance. Our novel, applicable, high-throughput set-up provides new prospects for studying and selecting single-plant phenotypes in a canopy-like environment.

Fruit Morphology and Ripening-Related QTLs in a Newly Developed Introgression Line Collection of the Elite Varieties 'Védrantais' and 'Piel de Sapo'.

Melon is an economically important crop with widely diverse fruit morphology and ripening characteristics. Its diploid sequenced genome and multiple genomic tools make this species suitable to study the genetic architecture of fruit traits. With the development of this introgression line population of the elite varieties 'Piel de Sapo' and 'Védrantais', we present a powerful tool to study fruit morphology and ripening traits that can also facilitate characterization or pyramidation of QTLs in inodorous melon types. The population consists of 36 lines covering almost 98% of the melon genome, with an average of three introgressions per chromosome and segregating for multiple fruit traits: morphology, ripening and quality. High variability in fruit morphology was found within the population, with 24 QTLs affecting six different traits, confirming previously reported QTLs and two newly detected QTLs, FLQW5.1 and FWQW7.1. We detected 20 QTLs affecting fruit ripening traits, six of them reported for the first time, two affecting the timing of yellowing of the rind (EYELLQW1.1 and EYELLQW8.1) and four at the end of chromosome 8 affecting aroma, abscission and harvest date (EAROQW8.3, EALFQW8.3, ABSQW8.3 and HARQW8.3). We also confirmed the location of several QTLs, such as fruit-quality-related QTLs affecting rind and flesh appearance and flesh firmness.

Quantitative trait loci, candidate genes, and breeding lines to improve salt tolerance at the flowering and seedling stages in rice

AbstractSalinity is a major environmental constraint that limits growth and productivity of rice all over the world. Although rice plants are vulnerable to salt stress at both seedling and flowering stages, genetic dissection of salt tolerance at the flowering stage is challenging due to non‐uniformity of stress application at the appropriate growth stage. The present study was conducted to identify quantitative trait loci (QTLs) and candidate genes associated with the flowering stage salt tolerance and compare with those associated with the seedling stage using a high‐resolution genetic map. A population of advanced generation introgression lines with uniform flowering time was evaluated for salt tolerance at the seedling and flowering stages. A genetic map was constructed using 14,230 polymorphic single nucleotide polymorphism markers between donor parents (TCCP and FL478) and the recurrent parent (RP) (Jupiter). Seventeen and 28 QTLs were identified for traits associated with salt tolerance at the seedling and flowering stage, respectively. Important candidate genes present in the flowering stage salt responsive QTL regions were OsHAK13, OsCYP21‐4, GIF1, and OsRGG20, whereas the seedling stage QTL intervals harbored genes such OsHAK20, STRK1, and OsMADS25. Gene expression analysis revealed upregulation of OsHAK13 and OsCYP21‐4 in TCCP, 3 days after exposure to salt stress at the flowering stage. Similarly, expression of OsHAK20, STRK1, and OsMADS25 was highly upregulated in TCCP under salt stress at the seedling stage. Due to differences in genetic control of salt tolerance at both seedling and flowering stages, stacking of genes/QTLs for salt tolerance at both stages will be needed. Since some beneficial QTLs were also contributed by the RP, emphasis should be on targeting the desirable QTLs from donors while retaining the beneficial QTLs of the RP to improve salinity tolerance in rice using marker‐assisted selection.

Genetics of yield component traits under salt stress at flowering stage and selection of salt tolerant pre-breeding lines for rice improvement.

Rice is highly vulnerable to salt stress at both seedling and flowering stage. While research efforts largely focused on seedling stage salinity tolerance, flowering stage salt tolerance studies are limited. Development of rice cultivars with salt tolerance at both stages will enhance rice productivity in salt affected farmlands. In the present study, two introgression line (IL) populations of a salt-tolerant landrace 'Nona Bokra (N)' were developed in the genetic backgrounds of two U.S. cultivars 'Cheniere (C)' and 'Jupiter (J)' and were evaluated for elucidation of the genetic basis of agronomically important traits at flowering stage and development of salt tolerant pre-breeding lines. Evaluation of both sets of ILs (JN-ILs and CN-ILs) under saline (EC = 8 dSm-1) environment led to identification of a total of 33 QTLs for seven different yield and yield component traits impacted by salt stress. Majority of large-effect QTLs for traits such as panicle length (qPL1.1JN), spikelet sterility (qSS1.1JN), thousand-grain weight (qTGW1.1JN), days to flowering (qDFF1.1CN), and plant height (qPH1.1CN) were located on chromosome 1. Some candidate genes present within the major effect QTL regions include potassium channel OsKAT1, NAC domain-containing protein, potassium transporters, and photosensitive leaf rolling 1. Comparison of the results with earlier reports on seedling stage suggested a different set of genes controlling salt tolerance at both stages. In addition, pre-breeding lines with improved flowering stage salinity tolerance were identified. These pre-breeding rice lines will accelerate fine mapping, map-based cloning, and pyramiding of desirable alleles for both flowering and seedling stage salt tolerance through marker assisted selection.

Genetic Dissection of Rice Ratooning Ability Using an Introgression Line Population and Substitution Mapping of a Pleiotropic Quantitative Trait Locus qRA5.

Ratooning ability is a key factor that influences ratoon rice yield, in the area where light and temperature are not enough for second season rice. In the present study, an introgression line population derived from Minghui 63 as the recipient parent and 02428 as the donor parent was developed, and a high-density bin map containing 4568 bins was constructed. Nine ratooning-ability-related traits were measured, including maximum tiller number, panicle number, and grain yield per plant in the first season and ratoon season, as well as three secondary traits, maximum tiller number ratio, panicle number ratio, and grain yield ratio. A total of 22 main-effect QTLs were identified and explained for 3.26–18.63% of the phenotypic variations in the introgression line population. Three genomic regions, including 14.12–14.65 Mb on chromosome 5, 4.64–5.76 Mb on chromosome 8, and 10.64–15.52 Mb on chromosome 11, were identified to simultaneously control different ratooning-ability-related traits. Among them, qRA5 in the region of 14.12–14.65 Mb on chromosome 5 was validated for its pleiotropic effects on maximum tiller number and panicle number in the first season, as well as its maximum tiller number ratio, panicle number ratio, and grain yield ratio. Moreover, qRA5 was independent of genetic background and delimited into a 311.16 kb region by a substitution mapping approach. These results will help us better understand the genetic basis of rice ratooning ability and provide a valuable gene resource for breeding high-yield ratoon rice varieties.

Genetic variation among the salinity tolerant breeding lines identified from two multi‐parent advanced generation introgression line populations in rice (Oryza sativa)

AbstractSalinity is a major environmental constraint affecting rice production in both irrigated and non‐irrigated areas and threatening global food security. Development of salt‐tolerant rice varieties with desirable agronomic traits is a logical approach to maintain high yield in saline areas. Here, we report development of two multi‐parent advanced generation introgression line (MAGIL) rice populations in two US cultivar backgrounds and their physiological and morphological evaluation under salinity stress at germination and seedling stages. From the initial screening of 180 MAGILs in sand culture, 36 tolerant‐to‐moderately salt‐tolerant lines were selected and further confirmed in hydroponics experiment. The selected MAGILs showed lower root and shoot Na+/K+ ratio compared with the recurrent parents. The principal component and cluster‐based analysis using 12 morphophysiological traits revealed grouping of the selected lines with tolerant donors. Genotyping results with 100 polymorphic SSR markers indicated a low level of genetic diversity among these lines. Clustering based on molecular marker data separated the MAGILs from the salt tolerance donors in both populations but were grouped with the recurrent parents, suggesting genetic similarity of MAGILs with recurrent parents. The salt‐tolerant MAGILs identified in this study are useful resource for investigating molecular and physiological bases of salt‐tolerant mechanisms as well as for evaluating their yield potential for release as salt‐tolerant rice varieties.

Construction of maize–teosinte introgression line population and identification of major quantitative trait loci

Construction of maize–teosinte introgression line population and identification of major quantitative trait loci

Functional physiological phenotyping with functional mapping: A general framework to bridge the phenotype-genotype gap in plant physiology

SummaryThe recent years have witnessed the emergence of high-throughput phenotyping techniques. In particular, these techniques can characterize a comprehensive landscape of physiological traits of plants responding to dynamic changes in the environment. These innovations, along with the next-generation genomic technologies, have brought plant science into the big-data era. However, a general framework that links multifaceted physiological traits to DNA variants is still lacking. Here, we developed a general framework that integrates functional physiological phenotyping (FPP) with functional mapping (FM). This integration, implemented with high-dimensional statistical reasoning, can aid in our understanding of how genotype is translated toward phenotype. As a demonstration of method, we implemented the transpiration and soil-plant-atmosphere measurements of a tomato introgression line population into the FPP-FM framework, facilitating the identification of quantitative trait loci (QTLs) that mediate the spatiotemporal change of transpiration rate and the test of how these QTLs control, through their interaction networks, phenotypic plasticity under drought stress.

Uncovering candidate genes involved in postharvest ripening of tomato using the Solanum pennellii introgression line population by integrating phenotypic data, RNA-Seq, and SNP analyses

Fruit shelf life in tomato (Solanum lycopersicum) and many other fleshy fruits is determined by several factors including cell wall structure, turgor, and cuticle properties. In this study, an introgression line (IL) population derived from a cross between Solanum pennellii (LA0716) and the S. lycopersicum cultivar M82 was used to identify candidate genes (CGs) that might be responsible for controlling tomato shelf life. IL4-2 and IL4-3-2 were identified as soft lines, IL5-1 and IL9-1-3 as firm lines based on their Br7 and Br14 firmness and shelf-life performance. To gain deeper insights into the genes that might play a regulatory key role in tomato shelf-life, transcriptome profiling was performed for the four ILs and M82 as the reference genome. A total of 5,580 Differentially Expressed Genes (DEGs) with 2,333 up-regulated and 3,247 down-regulated genes, were differentially expressed in IL4-2 vs M82, IL4-3-2 vs M82, IL5-1vs M82, and IL9-1-3 vs M82 combinations. Forty-two DEGs were selected as putative ripening related genes. The expression of nine genes potentially involved in ripening/softening process out of 42 DEGs was verified by qPCR. The RNA-Seq data was also used to discover SNPs between the ILs and the reference genome. The SNPs on CGs were converted to Cleaved Amplified Polymorphic Sequence (CAPS) markers which could be used in breeding programs in the future.

Analyzing and optimizing yield formation of tomato introgression lines using plant model

Generally, the relation between quantitative trait loci (QTLs) and yield is empirical, and their roles in source-sink dynamics are unclear. A tomato introgression line (IL) population (S. pennellii ILs) was applied to analyze the effect of chromosome segment from wild cultivar on numerous yield-related phenotypes, including plant yield, the weight of vegetative part, the number and weight of individual fruits. A functional-structural plant model was applied to analyze the difference in yield formation of tomato ILs. Measurements on organ biomass were performed at four stages during the growth period of plants. Source and sink parameters were estimated from the experimental measurements of different organs for each IL, discovering how the final yield is linked to the fruit number, size and expansion process. The correlation and distribution of source-sink parameters for ILs were analyzed. The sink parameters were optimized to find a better combination of ILs to improve the yield using Particle Swarm Optimisation (PSO) algorithm. Optimization results indicate a potential yield increase of 35% for the control M82. This model-assisted analysis provides a promising approach to deeper insight in phenotypic data.

Identification of QTLs associated with the anaerobic germination potential using a set of Oryza nivara introgression lines

Rice (Oryza sativa L.) is an important crop and a staple food for half of the population around the world. The recent water and labor shortages are encouraging farmers to shift from traditional transplanting to direct-seeding. However, poor germination and slow elongation of the coleoptile constrains large-scale application of direct-seeding. This study was aimed to investigate the genetic basis of the anaerobic germination (AG) potential using a set of Oryza nivara (O. nivara) introgression lines (ILs). In this study, a total of 131 ILs were developed by introducing O. nivara chromosome segments into the elite indica rice variety 93-11 through advanced backcrossing and repeated selfing. A high-density genetic map has been previously constructed with 1,070 bin-markers. The seeds of ILs were germinated and used to measure coleoptile length under normal and anaerobic conditions. QTLs associated with AG potential were determined in rice. Based on the high-density genetic map of the IL population, two QTLs, qAGP1 and qAGP3 associated with AG tolerance were characterized and located on chromosomes 1 and 3, respectively. Each QTL explained 15% of the phenotypic variance. Specifically, the O. nivara-derived chromosome segments of the two QTLs were positively tolerance to anaerobic condition by increasing coleoptile length. In a further analysis of public transcriptome data, a total of 26 and 36 genes within qAGP1 and qAGP3 were transcriptionally induced by anaerobic stress, respectively. Utilization of O. nivara-derived alleles at qAGP1 and qAGP3 can potentially enhance tolerance to anaerobic stress at the germination stage in rice, thereby accelerating breeding of rice varieties to be more adaptative for direct-seeding.

Dissecting the Genotypic and Environmental Factors Underpinning the Quantitative Trait Variation in a Set of Wild Tomato (Solanum habrochaites LA1777) Introgression Lines

Exotic libraries have proven a powerful tool for the exploitation of wild relatives and quantitative trait loci (QTLs) detection in crop species. In early 2000, an introgression line (IL) population of the wild tomato Solanum habrochaites (SH) acc. LA1777 was developed and made publicly available. Despite the potentiality of the donor parent, so far, these lines have been poorly explored for their agronomic performance and for the identification of genomic regions underlying the variation of quantitative traits (QTLs). Here, we report the evaluation of 19 morpho-agronomic and chemical traits on a set of 39 ILs grown in three consecutive field seasons with the aim to: (a) Determine the overall phenotypic performances of the studied collection, (b) estimate the influence of the genotype (G) and the year of cultivation (Y) and their interaction on the traits analyzed, (c) investigate the plasticity of the traits, and (d) identify whole-genome QTLs in the wild SH background. The ILs showed lower productivity compared to the control genotype, while no major effects were found for the morphological fruit-related traits. Instead, a general increase in the soluble solids content was observed. The combined analysis of G × Y highlighted a major effect of the genotype on trait variation, although yield-related traits were more influenced by environmental factors. In total, 75 associations for 17 traits were detected. Major QTLs increasing soluble solids, pericarp thickness, and trichome density were respectively found on chromosomes 1, 5, and 11 with a percentage variation (PV) of 24.01%, 32.49%, and 200%. Furthermore, different QTLs increasing the color intensity and fruit shape were detected. These results suggest that SH could be a potential source of favorable alleles for qualitative traits despite its inferior phenotype compared to the cultivated parent. The evaluated set of SH LA1777 ILs is a potential for novel allele discovery in wild tomatoes and for breeding purposes towards the exploitation of the available introgressions and for the pyramiding of traits.

Pod indehiscence in common bean is associated with the fine regulation of PvMYB26.

In legumes, pod shattering occurs when mature pods dehisce along the sutures, and detachment of the valves promotes seed dispersal. In Phaseolus vulgaris (L)., the major locus qPD5.1-Pv for pod indehiscence was identified recently. We developed a BC4/F4 introgression line population and narrowed the major locus down to a 22.5 kb region. Here, gene expression and a parallel histological analysis of dehiscent and indehiscent pods identified an AtMYB26 orthologue as the best candidate for loss of pod shattering, on a genomic region ~11 kb downstream of the highest associated peak. Based on mapping and expression data, we propose early and fine up-regulation of PvMYB26 in dehiscent pods. Detailed histological analysis establishes that pod indehiscence is associated with the lack of a functional abscission layer in the ventral sheath, and that the key anatomical modifications associated with pod shattering in common bean occur early during pod development. We finally propose that loss of pod shattering in legumes resulted from histological convergent evolution and that it is the result of selection at orthologous loci.

Genetic dissection of climacteric fruit ripening in a melon population segregating for ripening behavior

Melon is as an alternative model to understand fruit ripening due to the coexistence of climacteric and non-climacteric varieties within the same species, allowing the study of the processes that regulate this complex trait with genetic approaches. We phenotyped a population of recombinant inbred lines (RILs), obtained by crossing a climacteric (Védrantais, cantalupensis type) and a non-climcteric variety (Piel de Sapo T111, inodorus type), for traits related to climacteric maturation and ethylene production. Individuals in the RIL population exhibited various combinations of phenotypes that differed in the amount of ethylene produced, the early onset of ethylene production, and other phenotypes associated with ripening. We characterized a major QTL on chromosome 8, ETHQV8.1, which is sufficient to activate climacteric ripening, and other minor QTLs that may modulate the climacteric response. The ETHQV8.1 allele was validated by using two reciprocal introgression line populations generated by crossing Védrantais and Piel de Sapo and analyzing the ETHQV8.1 region in each of the genetic backgrounds. A Genome-wide association study (GWAS) using 211 accessions of the ssp. melo further identified two regions on chromosome 8 associated with the production of aromas, one of these regions overlapping with the 154.1 kb interval containing ETHQV8.1. The ETHQV8.1 region contains several candidate genes that may be related to fruit ripening. This work sheds light into the regulation mechanisms of a complex trait such as fruit ripening.