Construction Of Genetic Linkage Map Research Articles

Construction of a high-density genetic linkage map and QTL mapping of growth and cold tolerance traits in Takifugu fasciatus

Takifugu fasciatus is an aquaculture species with high economic value. In recent years, problems such as environmental pollution and inbreeding have caused a serious decline in T. fasciatus germplasm resources. In this study, a high-density genetic linkage map was constructed by whole-genome resequencing. The map consists of 4891 bin markers distributed across 22 linkage groups (LGs), with a total genetic coverage of 2381.353 cM and a mean density of 0.535 cM. Quantitative trait locus (QTL) localization analysis showed that a total of 19 QTLs associated with growth traits of T. fasciatus in the genome-wide significance threshold range, distributed on 11 LGs. In addition, 11 QTLs associated with cold tolerance traits were identified, each scattered on a different LG. Furthermore, we used QTL localization analysis to screen out three candidate genes (IGF1, IGF2, ADGRB) related to growth in T. fasciatus. Meanwhile, we screened three candidate genes (HSP90, HSP70, and HMGB1) related to T. fasciatus cold tolerance. Our study can provide a theoretical basis for the selection and breeding of cold-tolerant or fast-growing T. fasciatus.

Construction of a high-density genetic linkage map and QTL analysis using an interspecific F1 population in pistachio

Construction of a high-density genetic linkage map and QTL analysis using an interspecific F1 population in pistachio

Construction of a High-Density Genetic Linkage Map Based on Bin Markers and Mapping of QTLs Associated with Fruit Size in Jujube (Ziziphus jujuba Mill.)

Jujube (Ziziphus jujuba Mill.) is a fruit tree that is gaining increasing importance in drought-affected regions worldwide. The fruit size is an important quantitative agronomic trait that affects not only the fruit yield and attractiveness but also consumer preference. Genetic enhancement of fruit appearance is a fundamental goal of jujube breeding programs. The genetic control of jujube fruit size traits is highly quantitative, and development of high-density genetic maps can facilitate fine mapping of quantitative trait loci (QTLs) and gene identification. However, studies regarding the construction of high-density molecular linkage maps and identification of quantitative trait loci (QTLs) targeting fruit size in jujube are limited. In this study, we performed whole-genome resequencing of the jujube cultivars “JMS2” and “Xing16” and their 165 F1 progenies to identify genome-wide single-nucleotide polymorphism (SNP) markers and constructed a high-density bin map of jujube that can be used to assist in the selection of multiple traits in jujube breeding. This analysis yielded a total of 116,312 SNPs and a genetic bin map of 2398 bin markers spanning 1074.33 cM with an average adjacent interval of 0.45 cM. A quantitative genetic analysis identified 15 QTLs related to fruit size and the observed phenotypic variation associated with a single QTL ranged from 9.5 to 13.3%. Through the screening of overlapping and stable QTL regions, we identified 113 candidate genes related to fruit size. These genes were ascertained to be involved in cell division, cell wall metabolism, synthesis of phytohormones (ABA, IAA, and auxin), and encoding of enzymes and transcription factors. These candidate genomic regions will facilitate marker-assisted breeding of fruits with different sizes and shapes and lay a foundation for future breeding and manipulation of fruit size and shape in jujube.

High-density GBS-based genetic linkage map construction and QTL identification associated with leaf cuticular wax, adaxial stomatal density and leaf water retention capacity in banana

The drought tolerance quantitative trait locus (QTL) in Banana has not been studied to date. In this study, the susceptible parent Musa acuminata ssp. burmannicoides Colla –'Calcutta-4' and the resistant parent Musa balbisiana collection 'Bee hee kela' were crossed to produce an F1 mapping population of 96 individuals for the purpose of mapping drought tolerance traits in banana. Consequently, an entirely novel mapping population was developed using progenitor lines with distinct genomic compositions (A genome and B genome). We employed, the GBS (Genotype By Sequencing) technique to develop a genetic linkage map. The map contained a total of 1015 SNP markers, 11 linkage groups, and a total distance of 4828.88cM. The average distance between markers was 4.9cm. The two primary methods that a plant loses water are through stomata and cuticle transpiration, both of which is not beneficial for the plant. Thus, in the present investigation, the AB mapping population's adaxial stomatal count is measured using a microscopic technique, and leaf cuticular wax was estimated using a spectroscopic method. In addition, the leaf's water retention capacity was estimated. Genetic analysis showed that the drought tolerance traits exhibited moderate to moderately high PCV, GCV, and GAM values, as well as high heritability. Using the GBS-based genetic linkage map and phenotyping information, the QTL analysis identified five main QTLs for drought tolerance on chromosomes 2, 5, and 8. They were designated as wax13_1, wax15_1, wax15_2, lwrc_1, and asd_1. The PVE (per cent) of the identified QTLs varied between 15.9 and 19.8 percent. To our knowledge, this is the first report on the employing of SNP markers to identify QTLs associated with drought tolerance traits in banana. This study's findings will be helpful in fine-mapping and marker-assisted selection in banana for drought related traits.

Omics technologies towards sesame improvement: a review.

Genetic improvement of sesame (Sesamum indicum L.), one of the most important oilseed crops providing edible oil, proteins, minerals, and vitamins, is important to ensure a balanced diet for the growing world population. Increasing yield, seed protein, oil, minerals, and vitamins is urgently needed to meet the global demand. The production and productivity of sesame is very low due to various biotic and abiotic stresses. Therefore, various efforts have been made to combat these constraints and increase the production and productivity of sesame through conventional breeding. However, less attention has been paid to the genetic improvement of the crop through modern biotechnological methods, leaving it lagging behind other oilseed crops. Recently, however, the scenario has changed as sesame research has entered the era of "omics" and has made significant progress. Therefore, the purpose of this paper is to provide an overview of the progress made by omics research in improving sesame. This review presents a number of efforts that have been made over past decade using omics technologies to improve various traits of sesame, including seed composition, yield, and biotic and abiotic resistant varieties. It summarizes the advances in genetic improvement of sesame using omics technologies, such as germplasm development (web-based functional databases and germplasm resources), gene discovery (molecular markers and genetic linkage map construction), proteomics, transcriptomics, and metabolomics that have been carried out in the last decade. In conclusion, this review highlights future directions that may be important for omics-assisted breeding in sesame genetic improvement.

Construction of a high-density genetic linkage map and QTL mapping for bioenergy-related traits in sweet sorghum [Sorghum bicolor (L.) Moench

Sorghum is an important but arguably undervalued cereal crop, grown in large areas in Asia and Africa due to its natural resilience to drought and heat. There is growing demand for sweet sorghum as a source of bioethanol as well as food and feed. The improvement of bioenergy-related traits directly affects bioethanol production from sweet sorghum; therefore, understanding the genetic basis of these traits would enable new cultivars to be developed for bioenergy production. In order to reveal the genetic architecture behind bioenergy-related traits, we generated an F2 population from a cross between sweet sorghum cv. 'Erdurmus' and grain sorghum cv. 'Ogretmenoglu'. This was used to construct a genetic map from SNPs discovered by double-digest restriction-site associated DNA sequencing (ddRAD-seq). F3 lines derived from each F2 individual were phenotyped for bioenergy-related traits in two different locations and their genotypes were analyzed with the SNPs to identify QTL regions. On chromosomes 1, 7, and 9, three major plant height (PH) QTLs (qPH1.1, qPH7.1, and qPH9.1) were identified, with phenotypic variation explained (PVE) ranging from 10.8 to 34.8%. One major QTL (qPJ6.1) on chromosome 6 was associated with the plant juice trait (PJ) and explained 35.2% of its phenotypic variation. For fresh biomass weight (FBW), four major QTLs (qFBW1.1, qFBW6.1, qFBW7.1, and qFBW9.1) were determined on chromosomes 1, 6, 7, and 9, which explained 12.3, 14.5, 10.6, and 11.9% of the phenotypic variation, respectively. Moreover, two minor QTLs (qBX3.1 and qBX7.1) of Brix (BX) were mapped on chromosomes 3 and 7, explaining 8.6 and 9.7% of the phenotypic variation, respectively. The QTLs in two clusters (qPH7.1/qBX7.1 and qPH7.1/qFBW7.1) overlapped for PH, FBW and BX. The QTL, qFBW6.1, has not been previously reported. In addition, eight SNPs were converted into cleaved amplified polymorphic sequences (CAPS) markers, which can be easily detected by agarose gel electrophoresis. These QTLs and molecular markers can be used for pyramiding and marker-assisted selection studies in sorghum, to develop advanced lines that include desirable bioenergy-related traits.

Construction of the first high-density genetic linkage map and QTL mapping of flavonoid and leaf-size related traits in Epimedium

BackgroundLeaves are the main medicinal organ in Epimedium herbs, and leaf flavonoid content is an important criterion of Epimedium herbs. However, the underlying genes that regulate leaf size and flavonoid content are unclear, which limits the use of breeding for Epimedium development. This study focuses on QTL mapping of flavonoid and leaf-size related traits in Epimedium.ResultsWe constructed the first high-density genetic map (HDGM) using 109 F1 hybrids of Epimedium leptorrhizum and Epimedium sagittatum over three years (2019–2021). Using 5,271 single nucleotide polymorphism (SNP) markers, an HDGM with an overall distance of 2,366.07 cM and a mean gap of 0.612 cM was generated by utilizing genotyping by sequencing (GBS) technology. Every year for three years, 46 stable quantitative trait loci (QTLs) for leaf size and flavonoid contents were discovered, including 31 stable loci for Epimedin C (EC), one stable locus for total flavone content (TFC), 12 stable loci for leaf length (LL), and two stable loci for leaf area (LA). For flavonoid content and leaf size, the phenotypic variance explained for these loci varied between 4.00 and 16.80% and 14.95 and 17.34%, respectively.ConclusionsForty-six stable QTLs for leaf size and flavonoid content traits were repeatedly detected over three years. The HDGM and stable QTLs are laying the basis for breeding and gene investigation in Epimedium and will contribute to accelerating the identification of desirable genotypes for Epimedium breeding.

Construction of a high density genetic linkage map to define the locus conferring seedlessness from Mukaku Kishu mandarin.

Mukaku Kishu ('MK'), a small sized mandarin, is an important source of seedlessness in citrus breeding. Identification and mapping the gene(s) governing 'MK' seedlessness will expedite seedless cultivar development. In this study, two 'MK'-derived mapping populations- LB8-9 Sugar Belle® ('SB') × 'MK' (N=97) and Daisy ('D') × 'MK' (N=68) were genotyped using an Axiom_Citrus56 Array encompassing 58,433 SNP probe sets, and population specific male and female parent linkage maps were constructed. The parental maps of each population were integrated to produce sub-composite maps, which were further merged to develop a consensus linkage map. All the parental maps (except 'MK_D') had nine major linkage groups, and contained 930 ('SB'), 810 ('MK_SB'), 776 ('D') and 707 ('MK_D') SNPs. The linkage maps displayed 96.9 ('MK_D') to 98.5% ('SB') chromosomal synteny with the reference Clementine genome. The consensus map was comprised of 2588 markers including a phenotypic seedless (Fs)-locus and spanned a genetic distance of 1406.84 cM, with an average marker distance of 0.54 cM, which is substantially lower than the reference Clementine map. For the phenotypic Fs-locus, the distribution of seedy and seedless progenies in both 'SB' × 'MK' (55:42, χ2 = 1.74) and 'D' × 'MK' populations (33:35, χ2 = 0.06) followed a test cross pattern. The Fs-locus mapped on chromosome 5 with SNP marker 'AX-160417325' at 7.4 cM in 'MK_SB' map and between two SNP markers 'AX-160536283' and 'AX-160906995' at a distance of 2.4 and 4.9 cM, respectively in 'MK_D' map. The SNPs 'AX-160417325' and 'AX-160536283' correctly predicted seedlessness of 25-91.9% progenies in this study. Based on the alignment of flanking SNP markers to the Clementine reference genome, the candidate gene for seedlessness hovered in a ~ 6.0 Mb region between 3.97 Mb (AX-160906995) to 10.00 Mb (AX-160536283). This region has 131 genes of which 13 genes (belonging to seven gene families) reportedly express in seed coat or developing embryo. The findings of the study will prove helpful in directing future research for fine mapping this region and eventually underpinning the exact causative gene governing seedlessness in 'MK'.

High-density genetic linkage mapping reveals low stability of QTLs across environments for economic traits in Eucalyptus.

Eucalyptus urophylla, E. tereticornis and their hybrids are the most important commercial forest tree species in South China where they are grown for pulpwood and solid wood production. Construction of a fine-scale genetic linkage map and detecting quantitative trait loci (QTL) for economically important traits linked to these end-uses will facilitate identification of the main candidate genes and elucidate the regulatory mechanisms. A high-density consensus map (a total of 2754 SNPs with 1359.18 cM) was constructed using genotyping by sequencing (GBS) on clonal progenies of E. urophylla × tereticornis hybrids. QTL mapping of growth and wood property traits were conducted in three common garden experiments, resulting in a total of 108 QTLs. A total of 1052 candidate genes were screened by the efficient combination of QTL mapping and transcriptome analysis. Only ten QTLs were found to be stable across two environments, and only one (qSG10Stable mapped on chromosome 10, and associated with lignin syringyl-to-guaiacyl ratio) was stable across all three environments. Compared to other QTLs, qSG10Stable explained a very high level of phenotypic variation (18.4-23.6%), perhaps suggesting that QTLs with strong effects may be more stably inherited across multiple environments. Screened candidate genes were associated with some transcription factor families, such as TALE, which play an important role in the secondary growth of plant cell walls and the regulation of wood formation. While QTLs such as qSG10Stable, found to be stable across three sites, appear to be comparatively uncommon, their identification is likely to be a key to practical QTL-based breeding. Further research involving clonally-replicated populations, deployed across multiple target planting sites, will be required to further elucidate QTL-by-environment interactions.

Construction of a genome-wide genetic linkage map and identification of quantitative trait loci for powdery mildew resistance in Gerbera daisy.

Powdery mildew (PM) is a common fungal disease in many important crops. The PM caused by Podosphaera xanthii has been the most challenging problem in commercial Gerbera (Gerbera hybrida) production globally, often leading to severe losses of crop yield and quality. A small number of PM-resistant breeding lines and cultivars have been reported in Gerbera, but the underlying genetics for PM resistance in Gerbera is largely unknown. Scarcity of genomic resources such as genetic linkage maps and molecular markers has severely hindered the effort to understand the genetic basis and locate loci controlling PM resistance in Gerbera. This study aimed to construct a genome-wide genetic linkage map, identify quantitative trait loci (QTL), and molecular markers for PM resistance in Gerbera. A segregating mapping population was developed by crossing PM-resistant and -susceptible Gerbera breeding lines, genotyped by sequencing, and phenotyped for PM resistance. A genome-wide genetic linkage map constructed with 791 single polymorphic site (SNP) markers spans 1912.30 cM across 27 linkage groups (LG) and reaches a density of 1 marker per 2.42 cM. One major consistent QTL was discovered in LG16, explaining more than 16.6% of the phenotypic variance for PM resistance. The QTL was tagged with two flanking SNP markers. The availability of this genetic linkage map will be very useful for locating and tagging QTLs for other important traits in Gerbera, and the newly discovered QTL and SNP markers will enable development of molecular markers for improving Gerbera for resistance to PM.

Construction of a high-density SSR genetic linkage map and identification of QTL for storage-root yield and dry-matter content in sweetpotato

Sweetpotato (Ipomoea batatas (L.) Lam.) is a widely grown food crop especially in developing countries. Increasing storage-root yield and dry-matter content has been the main breeding objective of the crop, and DNA marker-assisted breeding is needed for this purpose. In this study, using a mapping population of 500 F1 individuals from a cross between Xushu 18 (female) and Xu 781 (male), we constructed a high-density genetic linkage map of sweetpotato using 601 simple-sequence repeat (SSR) primer pairs. The Xushu 18 map contained 90 linkage groups with 5547 SSR markers and spanned 18,263.5 cM, and the Xu 781 map contained 90 linkage groups with 4599 SSR markers and spanned 18,043.7 cM, representing the highest genome coverage yet reported for sweetpotato. We identified 33 QTL for storage-root yield and 16 QTL for dry-matter content, explaining respectively 6.5%–47.5% and 3.2%–18.9% of variation. These results provide a foundation for fine-mapping and cloning of QTL and for marker-assisted breeding in sweetpotato.

Construction of High-Density Genetic Linkage Map Using GBS-SNPs and SSRs in Interspecific Hybrid Derived from the Cross Between ‘Manpungbae’ and ‘Oharabeni’ Pear (Pyrus spp.)

Construction of High-Density Genetic Linkage Map Using GBS-SNPs and SSRs in Interspecific Hybrid Derived from the Cross Between ‘Manpungbae’ and ‘Oharabeni’ Pear (<i>Pyrus</i> spp.)

Development and Application of InDel Markers Linked to Fruit-Shape and Peel-Colour Genes in Wax Gourd.

The wax gourd is commonly grown in many countries because of its high nutritional and economic value. While the genes for the fruit shape and peel colour of wax gourd have been reported, the InDel markers linked to these genes remain undeveloped. In this study, the InDel markers linked to fruit-shape (Bch02G016830) and peel-colour (Bch05G003950) genes were developed from resequenced data. We used 120 inbred lines, 536 isolated populations, and 4 commercial hybrids to evaluate the validity and application value of the InDel markers. The accuracy rates of nine pairs of fruit-shape InDel markers (GX1-GX9) were 84.16–91.66% in 120 inbred lines. The accuracy rates of 27 pairs of peel-colour InDel markers (PS1-PS27) within approximately 3.0 Mb upstream and 3.0 Mb downstream of the peel-colour gene were 100% and those of 6 pairs of peel-colour InDel markers (PS28-PS33) within 3.0–20 Mb upstream and downstream of the peel-colour gene were 55.83–90% in 120 inbred lines. The purity of four commercial hybrids determined using GX1, GX2, PS13, and PS14 was highly consistent with the field results for purity determination. Our results provide important information for genetic linkage map construction, molecular-marker-assisted selective breeding, and purity determination of wax gourd hybrids.

Construction of a high-density genetic linkage map and QTL mapping for growth traits in gynogenetic brown-marbled grouper (Epinephelus fuscoguttatus)

High-density genetic linkage maps based on single nucleotide polymorphisms (SNPs) are essential for quantitative trait loci (QTL) mapping, trait-related gene identification, marker-assisted selection (MAS), genome assembly, and comparative genomic analysis in aquaculture fish species. Haploid (or gynogenesis) is an excellent germplasm target for mapping genetic linkage maps and MAS breeding. In this study, the high-density genetic linkage map of gynogenetic brown-marbled grouper (Epinephelus fuscoguttatus) based on genotyping by sequencing (GBS) technology was constructed using one F1 gynogenetic family composed of 164 gynogens and their female parents. A high-density linkage map of gynogenetic brown-marbled grouper was constructed with 19,301 SNPs located in 24 linkage groups (LGs). The genetic length of the consensus map was 2343.72 cM, with an average genetic length of 97.655 cM and an average marker interval of 0.12 cM. QTL mapping analysis revealed forty QTLs for body mass and ten phenotypic traits in 9 LGs. Multiple loci were found to be shared on LG3, LG8, LG11, LG16 and LG23, and several important growth-related candidate genes (e.g., mrc1, adgrb3, zbtb38 and adcy3), were identified within QTL regions. These vital SNPs and candidate genes may serve as useful genomic tools for marker-assisted selective breeding. Coupled breeding of MAS and artificial gynogenesis could provide a powerful method for genetic improvement in grouper breeding.

Construction of Genetic Linkage Map and Mapping QTL Specific to Leaf Anthocyanin Colouration in Mapping Population 'Allahabad Safeda' × 'Purple Guava (Local)' of Guava (Psidium guajava L.).

In the present investigation, F1 hybrids were developed in guava (Psidium guajava L.) by crossing high leaf-anthocyanin reflective-index (ARI1) content cultivars purple guava (local) ‘PG’, ‘CISH G-1’ and low leaf-ARI1 content cultivar Seedless ‘SL’ with Allahabad Safeda ‘AS’. On the basis of phenotypic observations, high ARI1 content was observed in the cross ‘AS’ × ‘PG’ (0.214). Further, an SSR-markers-based genetic linkage map was developed from a mapping population of 238 F1 individuals derived from cross ‘AS’ × ‘PG’. The linkage map comprised 11 linkage groups (LGs), spanning 1601.7 cM with an average marker interval distance of 29.61 cM between adjacent markers. Five anthocyanin-content related gene-specific markers from apple were tested for parental polymorphism in the genotypes ‘AS’ and ‘PG’. Subsequently, a marker, viz., ‘MdMYB10F1′, revealed a strong association with leaf anthocyanin content in the guava mapping population. QTL (qARI-6-1) on LG6 explains much of the variation (PVE = 11.51% with LOD = 4.67) in levels of leaf anthocyanin colouration. This is the first report of amplification/utilization of apple anthocyanin-related genes in guava. The genotypic data generated from the genetic map can be further exploited in future for the enrichment of linkage maps and for identification of complex quantitative trait loci (QTLs) governing economically important fruit quality traits in guava.

Genetic identification of the pleiotropic gene Tasg-D1/2 affecting wheat grain shape by regulating brassinolide metabolism

Improving yield potential is a major goal of wheat breeding that depends on identifying key genetic loci. In this study, two residual heterozygous line RHL351- and RHL78-derived populations were employed for genetic linkage map construction and QTL detection. Two genetic populations indicated a robust grain-size QTL between Marker6 and Marker10. It covered a 95.54–99.38 Mb physical interval and was named Qpleio.nwafu.3D, containing the candidate gene Tasg (TraesCS3D02G137200). Intriguingly, RNA-seq analysis and sequencing revealed two different allelic variants in Tasg, named Tasg-D1 (G>A) and Tasg-D2 (C>G), respectively. Although the relationship between Tasg-D1 and grain size had been demonstrated previously, here we provided the first genetic evidence that C/G allelic variation in Tasg-D2 was associated with grain shape and size through a newly developed dCAPS marker. In addition, transcriptome comparison indicated that Tasg-D1/2 might primarily contribute to significant expression differences in brassinolide (BR) metabolism-related genes rather than those related to BR responses in developing grains and spikes. Our study provided new evidence and a breeder-friendly dCAPS marker for improving grain size through the selection of Tasg, as well as a basis to understand Tasg function in the future.

Construction of a high-density genetic linkage map and QTL mapping of growth and cold tolerance traits in tiger puffer Takifugu rubripes

The tiger puffer (Takifugu rubripes) is an important aquaculture species, and its low temperature tolerance breeding has a positive impact on the industry. However, genetic improvement of the species is still in its infancy. In order to promote the breeding process of tiger puffer, the construction of a genetic linkage map and the identification and validation of molecular markers associated with traits are the first steps towards marker-assisted selection (MAS). In this study, a high-density genetic linkage map of the tiger puffer was constructed by whole-genome resequencing. The map consisted of 4416 bin markers distributed over 22 linkage groups (LGs) with a total genetic coverage of 3147.8 cM and an average density of 0.76 cM. On this basis, quantitative trait locus (QTL) mapping results revealed that 14 QTLs associated with body weight, body length and total length were identified in five LGs at the genome-wide significance threshold, explaining 11.1–16.7% of the phenotypic variation. Among them, 10 QTLs were located in LG3, with the QTLs associated with body weight all located in LG3. There were four QTLs with overlapping regions which were associated with both body weight and total length. In addition, this study completed the QTL analysis of cold resistance traits of tiger puffer for the first time, and the results showed that eight QTLs were identified in six LGs, which explained 13.6–16.3% of the phenotypic variation. The linkage map and QTL for important economic traits obtained in this study provide useful tools for genetic research and molecular marker-assisted breeding of tiger puffer.

Transcriptomics in advancing portunid aquaculture: A systematic review

AbstractThe rapid advancement of next‐generation sequencing technologies has promoted the use of transcriptomics in non‐model organisms, including species in the aquaculture sector. Compared to that of other crustacean species, portunid crab aquaculture is impeded by the insufficient knowledge of their biological and physiological processes. This systematic review summarised the advances in transcriptomics in cultured portunid crabs using a systematic literature review methodology. The filtered transcriptome dataset comprised 66 articles from four genera: Scylla, Portunus, Callinectes and Charybdis. At the species level, Scylla paramamosain and Portunus trituberculatus were the two most studied species, highlighting their importance in the aquaculture sector. The affordable cost of RNA sequencing (RNA‐Seq) led to an increase in transcriptome‐related research in portunid crabs and made available a huge repertoire of differentially expressed genes (DEGs) and single nucleotide polymorphisms (SNPs). We further discussed the transcriptomic advances based on six main functional categories, that is, ‘growth and moulting’, ‘gonadal development and reproduction’, ‘nutrition metabolism’, ‘disease and immunity’, ‘toxicology and stress’ and ‘general transcriptomic profiling’. In general, transcriptomic studies of portunid crabs, specifically the DEGs and pathways allow an in‐depth understanding of the biological and physiological processes involved at different growth stages or under various conditions based on the difference in gene transcriptional activity. SNPs obtained from the transcriptome data are useful in many genetic improvement‐related downstream applications, including the construction of genetic linkage maps and as population genetic markers. Future directions, such as hybrid approaches of long‐read and common RNA‐Seq, and the incorporation of other omics were also discussed.

Construction of first genetic linkage map based on microsatellite markers and characterization of di- and tri-nucleotide microsatellite markers for Crassostrea hongkongesis

Hong Kong oyster Crassostrea hongkongensis is an important aquaculture species in the coastal areas of southern China. Because of its high demand and reasonable price, the production of Cohnella hongkongensis has increased drastically. However, the aquaculture of C. hongkongensis has also encountered some problems, such as seasonal mass mortality and reduction of availability and quality of wild seeds. Genetic linkage map is an effective tool for analyzing economically important traits. In this study, a consensus genetic map of C. hongkongensis was constructed by using microsatellite markers of F1 family. The consensus linkage map contained 104 loci, with a span of 653.9 cM and an average resolution of 6.9 cM. The estimated coverage of consensus linkage map was 85%. We identified 10 linkage groups, which were consistent with the haploid chromosome number of the species. The linkage map of male C. hongkongensis comprised 57 markers with a span of 467.6 cM, while the linkage map of female C. hongkongensis comprised 72 markers with a span of 570.9 cM. The average recombination ratio between males and females was 1:1.2. This map is vital for future QTL mapping framework of C. hongkongensis to perform marker assisted selection. Moreover, compared with di-nucleotide microsatellite markers, tri-nucleotide microsatellite markers have significantly stronger correlation with functional genes and cross-amplification success. We also found that the application potential of tri-nucleotide microsatellite markers in molecular-marker assisted selection gene mapping, and comparative linkage mapping was greater than that of di-nucleotide markers.

Construction of a high-density genetic linkage map and identification of flowering-related QTL in erect milkvetch (Astragalus adsurgens)

Erect milkvetch (Astragalus adsurgens) is a perennial legume forage crop with economic and ecological value in livestock grazing and soil-erosion control in arid and semiarid areas worldwide. Genomic information and molecular tools to support breeding and research in the species are limited. The objectives of this investigation were to map its genome using DNA markers and to identify quantitative trait loci (QTL) in the species. An F1 mapping population of 250 plants was developed from a cross between two parents with differing flowering-related traits. A high-density genetic linkage map containing 4821 markers on eight linkage groups (LGs) with a total genetic length of 1395 cM and a mean interval of 0.29 cM between adjacent markers was constructed with SLAF-seq technology. Comparative genomic analyses revealed the highest genome sequence similarity (8.71%) between erect milkvetch and Medicago truncatula, followed by Glycine max (7.65%), Cicer arietinum (7.53%), and Lupinus angustifolius (5.21%). A total of 64 significant QTL for flowering-related traits on six LGs were detected, accounting for 9.38 to 19.1% of the associated phenotype variation. Five and 48 key candidate genes for floret number and inflorescence length were identified based on the Glycyrrhiza uralensis genome. These candidate genes were involved in ubiquitination/degradation, pollen development, cell division, cytokinin biosynthetic process, and plant flowering. These findings shed light on the regulation of flowering traits in erect milkvetch and provide genomic resources for future molecular breeding of the crop.