Theoretical and Applied Genetics最新文献

Key message: Two small fragment translocation lines (T4DS·4DL-4EL and T5AS·5AL-4EL) showed high resistance to stripe rust and resistance gene Yr4EL was localized to an about 35 Mb region at the end of chr arm 4EL. Stripe rust, caused by the fungus Puccinia striiformis f. sp. tritici, is a devastating wheat disease worldwide. Deployment of disease resistance (R) genes in wheat cultivars is the most effective way to control the disease. Previously, the all-stage stripe rust R gene Yr4EL from tetraploid Thinopyrum elongatum was introduced into common wheat as 4E(4D) substitution and T4DS·4EL translocation lines. To further map and utilize Yr4EL, Chinese Spring (CS) mutant pairing homoeologous gene ph1b was used in crossing to induce recombination between chromosome (chr) 4EL and wheat chromosomes. Two small fragment translocation lines T4DS·4DL-4EL and T5AS·5AL-4EL with Yr4EL resistance were selected using molecular markers and confirmed by genomic in situ hybridization (GISH), fluorescence in situ hybridization (FISH), and Wheat 660 K SNP array analyses. We mapped Yr4EL to an about 35 Mb region at the end of chr 4EL, corresponding to 577.76-612.97 Mb based on the diploid Th. elongatum reference genome. In addition, two competitive allele-specific PCR (KASP) markers co-segregating with Yr4EL were developed to facilitate molecular marker-assisted selection in breeding. The T4DS·4DL-4EL lines were crossed and backcrossed with wheat cultivars SM482 and CM42, and the resulting pre-breeding lines showed high stripe rust resistance and potential for wheat breeding with good agronomic traits. These lines represent new germplasm for wheat stripe rust resistance breeding, as well as providing a solid foundation for Yr4EL fine mapping and cloning.

Key message: The major irregular chromosome pairing and mis-segregation were detected during meiosis through unambiguous chromosome identification and found that allotriploid Brassica can undergo meiosis successfully and produce mostly viable aneuploid gametes. Triploids have played a crucial role in the evolution of species by forming polyploids and facilitating interploidy gene transfer. It is widely accepted that triploids cannot undergo meiosis normally and predominantly produce nonfunctional aneuploid gametes, which restricts their role in species evolution. In this study, we demonstrated that natural and synthetic allotriploid Brassica (AAC), produced by crossing natural and synthetic Brassica napus (AACC) with Brassica rapa (AA), exhibits basically normal chromosome pairing and segregation during meiosis. Homologous A chromosomes paired faithfully and generally segregated equally. Monosomic C chromosomes were largely retained as univalents and randomly entered daughter cells. The primary irregular meiotic behaviors included associations of homoeologs and 45S rDNA loci at diakinesis, as well as homoeologous chromosome replacement and premature sister chromatid separation at anaphase I. Preexisting homoeologous arrangements altered meiotic behaviors in both chromosome irregular pairing and mis-segregation by increasing the formation of A-genomic univalents and A-C bivalents, as well as premature sister chromatid separation and homologous chromosome nondisjunction. Meiotic behaviors depended significantly on the genetic background and heterozygous homoeologous rearrangement. AAC triploids mainly generated aneuploid gametes, most of which were viable. These results demonstrate that allotriploid Brassica containing an intact karyotype can proceed through meiosis successfully, broadening our current understanding of the inheritance and role in species evolution of allotriploid.

New selection methods, using trait-specific markers (marker-assisted selection (MAS)) and/or genome-wide markers (genomic selection (GS)), are becoming increasingly widespread in breeding programs. This new era requires innovative and cost-efficient solutions for genotyping. Reduction in sequencing cost has enhanced the use of high-throughput low-cost genotyping methods such as genotyping-by-sequencing (GBS) for genome-wide single-nucleotide polymorphism (SNP) profiling in large breeding populations. However, the major weakness of GBS methodologies is their inability to genotype targeted markers. Conversely, targeted methods, such as amplicon sequencing (AmpSeq), often face cost constraints, hindering genome-wide genotyping across a large cohort. Although GBS and AmpSeq data can be generated from the same sample, an efficient method to achieve this is lacking. In this study, we present the Genome-wide & Targeted Amplicon (GTA) genotyping platform, an innovative way to integrate multiplex targeted amplicons into the GBS library preparation to provide an all-in-one cost-effective genotyping solution to breeders and research communities. Custom primers were designed to target 23 and 36 high-value markers associated with key agronomical traits in soybean and barley, respectively. The resulting multiplex amplicons were compatible with the GBS library preparation enabling both GBS and targeted genotyping data to be produced efficiently and cost-effectively. To facilitate data analysis, we have introduced Fast-GBS.v3, a user-friendly bioinformatic pipeline that generates comprehensive outputs from data obtained following sequencing of GTA libraries. This high-throughput low-cost approach will greatly facilitate the application of DNA markers as it provides required markers for both MAS and GS in a single assay.

Key message: We screened 47 significantly associated haplotype blocks for oleic, linoleic, linolenic, and erucic acid, with 17 blocks influencing multiple traits. A novel candidate of transcription factor BnHDG4 A08 influencing oleic, linoleic, linolenic, and erucic acid was identified, by a joint strategy of haplotype-based genome-wide association study, genomic resequencing, gene cloning, and co-expression network Fatty acid (FA) composition determines the quality and economic value of rapeseed oil (Brassica napus). However, the molecular network of FAs is unclear. In the current study, multi-strategies of haplotype-based genome-wide association study (GWAS), genomic resequencing, gene cloning, and co-expression network were joint to reveal novel genetic factors influencing FA accumulation in rapeseed. We identified 47 significantly associated haplotype blocks for oleic, linoleic, linolenic, and erucic acid, with 17 blocks influencing multiple traits, using a haplotype-based GWAS with phenotype data from 203 Chinese semi-winter accessions. A total of 61 rapeseed orthologs involved in acyl-lipid metabolism, carbohydrate metabolism, or photosynthesis were identified in these 17 blocks. Among these genes, BnHDG4-A08, encoding a class IV homeodomain leucine-zipper transcription factor, exhibited two single-nucleotide polymorphisms (SNPs) in the exon and intron, with significant associations with oleic, linoleic, linolenic, and erucic acid. Gene cloning further validated two SNPs in the exon of BnHDG4-A08 in a population with 75 accessions, leading to two amino acid changes (T372A and P366L) and significant variation of oleic, linoleic, linolenic, and erucic acid. A competitive allele-specific PCR (KASP) marker based on the SNPs was successfully developed and validated. Moreover, 98 genes exhibiting direct interconnections and high weight values with BnHDG4-A08 were identified through co-expression network analysis using transcriptome data from 13 accessions. Our study identified a novel FA candidate of transcription factor BnHDG4-A08 influencing oleic, linoleic, linolenic, and erucic acid. This gene provides a potential promising gene resource for the novel mechanistic understanding of transcription factors regulating FA accumulation.

Pearl millet is an essential crop worldwide, with noteworthy resilience to abiotic stress, yet the advancement of its breeding remains constrained by the underutilization of molecular-assisted breeding techniques. In this study, we collected 1,455,924 single nucleotide polymorphism (SNP) and 124,532 structural variant (SV) markers primarily from a pearl millet inbred germplasm association panel consisting of 242 accessions including 120 observed phenotypes, mostly related to the yield. Our findings revealed that the SV markers had the capacity to capture genetic diversity not discerned by SNP markers. Furthermore, no correlation in heritability was observed between SNP and SV markers associated with the same phenotype. The assessment of the nine genomic prediction models revealed that SV markers performed better than SNP markers. When using the SV markers as the predictor variable, the genomic BLUP model achieved the best performance, while using the SNP markers, Bayesian methods outperformed the others. The integration of these models enabled the identification of eight candidate accessions with high genomic estimated breeding values (GEBV) across nine phenotypes using SNP markers. Four candidate accessions were identified with high GEBV across 22 phenotypes using SV markers. Notably, accession 'P23' emerged as a consistent candidate predicted based on both SNP and SV markers specifically for panicle number. These findings contribute valuable insights into the potential of utilizing both SNP and SV markers for genomic prediction in pearl millet breeding. Moreover, the identification of promising candidate accessions, such as 'P23', underscores the accelerated prospects of molecular breeding initiatives for enhancing pearl millet varieties.

Hollowness is a physiological disorder that frequently occurs during the growth and postharvest storage phases of fleshy radish roots, significantly diminishing quality, yield, and marketability. However, the molecular mechanism for hollowness remains elusive. To identify the QTLs and potential candidate genes for hollowness tolerance in radish, F₂ and BC₁ populations were constructed from hollowness-tolerant radish (C16) and hollowness-sensitive radish (C17) in the present study. Genetic analysis indicated that hollowness tolerance may be governed by two independent recessive genes. By employing bulked segregant analysis sequencing (BSA-seq), two significant candidate genomic intervals were pinpointed on chromosomes R04 (960 kb, 6.48-7.44 Mb) and R05 (600 kb, 31.44-32.04 Mb), which together harbor 107 annotated genes. Transcriptomic sequencing revealed that the downregulated differentially expressed genes (DEGs) were significantly enriched in biological processes related to cell death and the response to water stress, whereas the upregulated DEGs were significantly associated with the chitin catabolic process and the cell wall macromolecule metabolic process. A total of 46 intersecting genes were identified among these DEGs within the genomic intervals of interest. One gene with high expression (Rsa10025345) and two with low expression (Rsa10025320 and Rsa10018106) were detected in the tolerant variety C16. Furthermore, a SNP within Rsa10025320 resulting in an amino acid change (A188E) was characterized through sequence variation observed in both BSA-seq and RNA-seq data and further developed as a derived cleaved amplified polymorphic sequence (dCAPS) marker. Our study reveals potential target genes for tolerance to hollowness and paves the way for marker-assisted breeding of hollowness tolerance in red-skinned radishes.

Key message: Thirteen QTLs associated with rice grain shape were localized by genome-wide association study. LOC_Os01g74020, the putative candidate gene in the co-localized QTL-qGSE1.2 interval, was identified and validated. Grain shape (GS) is a key trait that affects yield and quality of rice. Identifying and analyzing GS-related genes and elucidating the physiological, biochemical and molecular mechanisms are important for rice breeding. In this study, genome-wide association studies (GWAS) were conducted based on 1, 795, 076 single-nucleotide polymorphisms (SNPs) and three GS-related traits, grain length (GL), grain width (GW) and thousand-grain weight (TGW), in a natural population which comprised 374 rice varieties. A total of 13 quantitative trait locus (QTLs) related to GL, GW and TGW were identified, respectively, of which two QTLs (qGSE1.2 and qGSE5.3) were associated with both GL and TGW. A known key GS regulatory gene, GW5, was present in the interval of qGSE5.3. Based on the qRT-PCR results, LOC_Os01g74020 (OsGSE1.2) was identified as a GS candidate gene. Functional analysis of OsGSE1.2 showed that glume cell width and GW were significantly reduced, and that glume cell length, GL, TGW and single-plant yield were significantly increased in OsGSE1.2 knockout lines than those of wild type. OsGSE1.2 affects rice grain length by suppressing the elongation of glume cell and is a novel GS regulatory gene. These findings laid the foundation for molecular breeding to improve rice GS and increase rice yield and profitability.

Key message: In a genome-wide association study involving 269 cultivated and wild soybean accessions, potential salt tolerance donors were identified along with significant markers and candidate genes, such as GmKUP6 and GmWRKY33. Salt stress remains a significant challenge in agricultural systems, notably impacting soybean productivity worldwide. A comprehensive genome-wide association study (GWAS) was conducted to elucidate the genetic underpinnings of salt tolerance and identify novel source of salt tolerance among soybean genotypes. A diverse panel comprising 269 wild and cultivated soybean accessions was subjected to saline stress under controlled greenhouse conditions. Phenotypic data revealed that salt tolerance of soybean germplasm accessions was heavily compromised by the accumulation of sodium and chloride, as indicated by highly significant positive correlations of leaf scorching score with leaf sodium/chloride content. The GWAS analysis, leveraging a dataset of 32,832 SNPs, unveiled 32 significant marker-trait associations (MTAs) across seven traits associated with salt tolerance. These markers explained a substantial portion of the phenotypic variation, ranging from 14 to 52%. Notably, 11 markers surpassed Bonferroni's correction threshold, exhibiting highly significant associations with the respective traits. Gene Ontology enrichment analysis conducted within a 100 Kb range of the identified MTAs highlighted candidate genes such as potassium transporter 6 (GmKUP6), cation hydrogen exchanger (GmCHX15), and GmWRKY33. Expression levels of GmKUP6 and GmWRKY33 significantly varied between salt-tolerant and salt-susceptible soybean accessions under salt stress. The genetic markers and candidate genes identified in this study hold promise for developing soybean varieties resilient to salinity stress, thereby mitigating its adverse effects.

Yield and quality are important for plant breeding. To better understand the genetic basis underlying yield- and quality-related traits in wheat (Triticum aestivum L.), we conducted the quantitative trait locus (QTL) analysis using recombinant inbred lines (RILs) and a high-density genetic linkage map with a 90 K array. In this study, a total of 117 QTLs were detected for spike number per area (SNPA), thousand grain weight (TGW), grain number per spike (GNS), plant height (PH), spike length (SL), total spikelet number (TSN), spikelet density (SD), grain protein content (GPC), and grain starch content (GSC). Among these QTLs, 30 environmentally stable QTLs for yield- and quality-related traits were detected. Notably, five QTL-rich regions (Qrr) for yield- and/or quality-related traits were identified, including the QTL-rich region on chromosome 4BS (QQrr.cau-4B) for eight traits (SNPA, GNS, PH, SL, TSN, SD, GPC, and GSC). The stable QTL-rich region QQrr.cau-4B was delimited into a physical interval of approximately 2.47 Mb. Based on the annotation information of the Chinese spring wheat genome v1.0 and parental re-sequencing results, the interval included twelve genes with sequence variations. Taken together, these results contribute to further understanding of the genetic basis of SNPA, GNS, PH, SL, TSN, SD, GPC, and GSC, and fine mapping of QQrr.cau-4B will be beneficial for gene cloning and marker-assisted selection in the genetic improvement of wheat varieties.

Key message: This study highlights the agronomic potential of rare introgressions, as demonstrated by a major QTL for powdery mildew resistance on chromosome 7D. It further shows evidence for inter-homoeologue recombination in wheat. Agriculturally important genes are often introgressed into crops from closely related donor species or landraces. The gene pool of hexaploid bread wheat (Triticum aestivum) is known to contain numerous such "alien" introgressions. Recently established high-quality reference genome sequences allow prediction of the size, frequency and identity of introgressed chromosome regions. Here, we characterise chromosomal introgressions in bread wheat using exome capture data from the WHEALBI collection. We identified 24,981 putative introgression segments of at least 2 Mb across 434 wheat accessions. Detailed study of the most frequent introgressions identified T. timopheevii or its close relatives as a frequent donor species. Importantly, 118 introgressions of at least 10 Mb were exclusive to single wheat accessions, revealing that large populations need to be studied to assess the total diversity of the wheat pangenome. In one case, a 14 Mb introgression in chromosome 7D, exclusive to cultivar Pamukale, was shown by QTL mapping to harbour a recessive powdery mildew resistance gene. We identified multiple events where distal chromosomal segments of one subgenome were duplicated in the genome and replaced the homoeologous segment in another subgenome. We propose that these examples are the results of inter-homoeologue recombination. Our study produced an extensive catalogue of the wheat introgression landscape, providing a resource for wheat breeding. Of note, the finding that the wheat gene pool contains numerous rare, but potentially important introgressions and chromosomal rearrangements has implications for future breeding.