Plant breeders are generally reluctant to cross elite crop cultivars with their wild relatives to introgress novel desirable traits due to associated negative traits such as pod shattering. This results in a genetic bottleneck that could be reduced through better understanding of the genomic locations of the gene(s) controlling this trait. We integrated information on parental genomes, pod shattering data from multiple environments, and high-density genetic linkage maps to identify pod shattering quantitative trait loci (QTLs) in three lentil interspecific recombinant inbred line populations. The broad-sense heritability on a multi-environment basis varied from 0.46 (in LR-70, Lens culinaris × Lens odemensis) to 0.77 (in LR-68, Lens orientalis × L. culinaris). Genetic linkage maps of the interspecific populations revealed reciprocal translocations of chromosomal segments that differed among the populations, and which were associated with reduced recombination. LR-68 had a 2-5 translocation, LR-70 had 1-5, 2-6, and 2-7 translocations, and LR-86 had a 2-7 translocation in one parent relative to the other. Segregation distortion was also observed for clusters of single nucleotide polymorphisms on multiple chromosomes per population, further affecting introgression. Two major QTL, on chromosomes 4 and 7, were repeatedly detected in the three populations and contain several candidate genes. These findings will be of significant value for lentil breeders to strategically access novel superior alleles while minimizing the genetic impact of pod shattering from wild parents.

The advent of genome editing platforms such as the CRISPR/Cas9 system ushers an unprecedented speed in the development of new crop varieties that can withstand the agricultural challenges of the 21st century. The CRISPR/Cas9 system depends on the specificity of engineered single guide RNAs (sgRNAs). However, sgRNA design in plants can be challenging due to the multitude of design tools to choose from, many of which use guidelines that are based on animal experiments yet allow the use of plant genomes. Upon choosing sgRNAs, it is also unclear whether an in vitro assay is needed to validate the targeting efficiency of a particular sgRNA before in vivo delivery of the CRISPR/Cas9 system. Here, we demonstrate the in vitro and in vivo activity of four different sgRNAs that we selected based on their ability to target multiple members of the eggplant polyphenol oxidase gene family. Some sgRNAs that have high in vitro cleavage activity did not produce edits in vivo, suggesting that an in vitro assay may not be a reliable basis to predict sgRNAs with highly efficient in vivo cleavage activity. Further analysis of our sgRNAs using other design algorithms suggest that plant-validated criteria such as the presence of necessary secondary structures and appropriate base-pairing may be the reason for the discrepancy between our observed in vitro and in vivo cleavage efficiencies. However, recent reports and our data suggests that there is no guaranteed way to ensure the in vivo cleavage of chosen sgRNAs.

Pulsatilla patens is a rare and endangered species in Europe and its population resources have significantly decreased over the past decades. Previous genetic studies of this species made it possible to estimate the genetic diversity of the European population and to describe the structure of chloroplast and mitochondrial genomes. The main aim of these studies was to characterize the variability of chloroplast and mitochondrial genomes in more detail at the intra-population and inter-population levels. Our study presents new organelle genome reference sequences that allow the design of novel markers that can be the starting point for testing hypotheses, past and modern biogeography of rare and endangered species P. patens, and adaptive responses of this species to changing environments. The study included sixteen individuals from five populations located in Northeastern Poland. Comparative analysis of 16 P. patens plastomes from 5 populations enabled us to identify 160 point mutations, including 64 substitutions and 96 InDels. The most numerous detected SNPs and Indels (75%) were accumulated in three intergenic spacers: ndhD-ccsA, rps4-rps16, and trnL(UAG)-ndhF. The mitogenome dataset, which was more than twice as large as the plastome (331 kbp vs. 151 kbp), revealed eight times fewer SNPs (8 vs. 64) and six times fewer InDels (16 vs. 96). Both chloroplast and mitochondrial genome identified the same number of haplotypes-11 out of 16 individuals, but both organellar genomes slightly differ in haplotype clustering. Despite the much lower variation, mitogenomic data provide additional resolution in the haplotype detection of P. patens, enabling molecular identification of individuals, which were unrecognizable based on the plastome dataset.

For many plant and animal species, commercial products are hybrids between individuals from different genetic groups. For allogamous plant species such as maize, the breeding objective is to produce single-cross hybrid varieties from two inbred lines each selected in complementary groups. Efficient hybrid breeding requires methods that (1) quickly generate homozygous and homogeneous parental lines with high combining abilities, (2) efficiently choose among the large number of available parental lines the most promising ones, and (3) predict the performances of sets of non-phenotyped single-cross hybrids, or hybrids phenotyped in a limited number of environments, based on their relationship with another set of hybrids with known performances. The maize breeding community has been developing model-based prediction of hybrid performances well before the genomic era. This chapter (1) provides a reminder of the maize breeding scheme before the genomic era; (2) describes how genomic data were incorporated in the prediction models involved in different steps of genomic-based single-cross maize hybrid breeding; and (3) reviews factors affecting the accuracy of genomic prediction, approaches for optimizing GP-based single-cross maize hybrid breeding schemes, and ensuring the long-term sustainability of genomic selection.

Plant breeders and conservationist depend on knowledge about the genetic variation of their species of interest. Pisum fulvum, a wild relative of domesticated pea, has attracted attention as a genetic resource for crop improvement, yet little information about its diversity in the wild has been published hitherto. We sampled 15 populations of P. fulvum from Israeli natural habitats and conducted genotyping by sequencing to analyse their genetic diversity and adaptive state. We also attempted to evaluate the species past demography and the prospects of its future reaction to environmental changes. The results suggest that genetic diversity of P. fulvum is low to medium and is distributed between well diverged populations. Surprisingly, with 56 % in the total population the selfing rate was found to be significantly lower than expected from a species that is commonly assumed to be a predominant selfer. We found a strong genetic bottleneck during the last glacial period and only limited patterns of isolation by distance and environment, which explained 13 %-18 % of the genetic variation. Despite the weak signatures of genome-wide IBE, 1,354 markers were significantly correlated with environmental factors, 1,233 of which were located within known genes with a nonsynonymous to synonymous ratio of 0.382. Species distribution modelling depicted an ongoing fragmentation and decreased habitable area over the next 80 years under two different socio-economic pathways. Our results suggest that complex interactions of substantial drift and selection shaped the genome of P. fulvum. Climate changeis likely to cause further erosion of genetic diversity in P. fulvum. Systematic ex-situ conservation may be advisable to safeguard genetic variability for future utilization of this species.

UNASSIGNED: A major locus for spontaneous haploid genome doubling was detected by a case-control GWAS in an exotic maize germplasm. The combination of double haploid breeding method with this locus leads to segregation distortion on genomic regions of chromosome five. Temperate maize (Zea mays L.) breeding programs often rely on limited genetic diversity, which can be expanded by incorporating exotic germplasm. The aims of this study were to perform characterization of inbred lines derived from the tropical BS39 population using different breeding methods, to identify genomic regions showing segregation distortion in lines derived by the DH process using spontaneous haploid genome doubling (SHGD), and use case-control association mapping to identify loci controlling SHGD. Four different sets were used: BS39_DH and BS39_SSD were derived from the BS39 population by DH and single-seed descendent (SSD) methods, and BS39 × A427_DH and BS39 × A427_SSD from the cross between BS39 and A427. A total of 663 inbred lines were genotyped. The analyses of gene diversity and genetic differentiation for the DH sets provided evidence of the presence of a SHGD locus near the centromere of chromosome 5. The case-control GWAS for the DH set also pinpointed this locus. Haplotype sharing analysis showed almost 100% exclusive contribution of the A427 genome in the same region on chromosome 5 of BS39 × A427_DH, presumably due to an allele in this region affecting SHGD. This locus enables DH line production in exotic populations without colchicine or other artificial haploid genome doubling.

Plant genomes can withstand small- and large-scale duplications, at a far greater success than any other kingdom in the tree of life, resulting in the existence and evolution of gene families, often with over a hundred members! The gene families, in turn, go through subfunctionalization or neofunctionalization, to form protein domains performing unique or grouped functions in context of the original activity. Due to the large number of such cases in the plant kingdom, it has become a routine task for plant biologists to investigate their specific gene family of interest. In this chapter, we provide a simple and standard pipeline for this effort, taking the example of steroidogenic acute regulatory protein (StAR) related lipid transfer (START) domains in rice, as reference. We describe the extraction, processing, and downstream analysis of Oryza sativa var. japonica proteome towards identification and comparative exploration of START domains. This was done by training profile Hidden Markov Models (HMM) of 35 reported START domains in Arabidopsis, which were then used to search potential homologs in rice. Downstream investigations included domain structure analysis, visualization of exon-intron patterns, chromosomal localization of START genes, and phylogenetic studies, followed by identification of cis-regulatory elements and gene regulatory network construction. Additionally, we have also highlighted various alternative tools and techniques that can be used to perform similar analyses, along with salient features.

Salt stress is one of the major abiotic stresses that negatively affect crops worldwide. Plants have evolved a series of mechanisms to cope with the limitations imposed by salinity. Molecular mechanisms, including the upregulation of cation transporters such as the Na+/H+ antiporters, are one of the processes adopted by plants to survive in saline environments. NHX antiporters are involved in salt tolerance, development, cell expansion, growth performance and disease resistance of plants. They are integral membrane proteins belonging to the widely distributed CPA1 sub-group of monovalent cation/H+ antiporters and provide an important strategy for ionic homeostasis in plants under saline conditions. These antiporters are known to regulate the exchange of sodium and hydrogen ions across the membrane and are ubiquitous to all eukaryotic organisms. With the genomic approach, previous studies reported that a large number of proteins encoding Na+/H+ antiporter genes have been identified in many plant species and successfully introduced into desired species to create transgenic crops with enhanced tolerance to multiple stresses. In this review, we focus on plant antiporters and all the aspects from their structure, classification, function to their in silico analysis. On the other hand, we performed a genome-wide search to identify the predicted NHX genes in Argania spinosa L. We highlighted for the first time the presence of four putative NHX (AsNHX1-4) from the Argan tree genome, whose phylogenetic analysis revealed their classification in one distinct vacuolar cluster. The essential information of the four putative NHXs, such as gene structure, subcellular localization and transmembrane domains was analyzed.

The reconstruction of relationships within recently radiated groups is challenging even when massive amounts of sequencing data are available. The use of restriction site-associated DNA sequencing (RAD-Seq) to this end is promising. Here, we assessed the performance of RAD-Seq to infer the species-level phylogeny of the rapidly radiating genus Cereus (Cactaceae). To examine how the amount of genomic data affects resolution in this group, we used datasets and implemented different analyses. We sampled 52 individuals of Cereus, representing 18 of the 25 species currently recognized, plus members of the closely allied genera Cipocereus and Praecereus, and other 11 Cactaceae genera as outgroups. Three scenarios of permissiveness to missing data were carried out in iPyRAD, assembling datasets with 30% (333 loci), 45% (1440 loci), and 70% (6141 loci) of missing data. For each dataset, Maximum Likelihood (ML) trees were generated using two supermatrices, i.e., only SNPs and SNPs plus invariant sites. Accuracy and resolution were improved when the dataset with the highest number of loci was used (6141 loci), despite the high percentage of missing data included (70%). Coalescent trees estimated using SVDQuartets and ASTRAL are similar to those obtained by the ML reconstructions. Overall, we reconstruct a well-supported phylogeny of Cereus, which is resolved as monophyletic and composed of four main clades with high support in their internal relationships. Our findings also provide insights into the impact of missing data for phylogeny reconstruction using RAD loci.

CONCLUSIONS: Multiple variables that control the relative levels of successful heritable plant genome editing were addressed using simple case studies in Arabidopsis thaliana. The recent advent of genome editing technologies (especially CRISPR, Clustered Regularly Interspaced Short Palindromic Repeats) has revolutionized various fields of scientific research. The process is much more specific than previous mutagenic processes and allows for targeting of nearly any gene of interest for the creation of loss-of-function mutations and many other types of editing, including gene-replacement and gene activation. However, not all CRISPR construct designs are successful, due to several factors, including differences in the strength and cell- or tissue-type specificity of the regulatory elements used to express the Cas9 (CRISPR Associated protein 9) DNA nuclease and single guide RNA components, and differences in the relative editing efficiency at different target areas within a given gene. Here we compare the levels of editing created in Arabidopsis thaliana by CRISPR constructs containing either different promoters, or altered target sites with varied levels of guanine-cytosine base content. Additionally, nuclease activity at sites targeted by imperfectly matched single guide RNAs was observed, suggesting that while the primary goal of most CRISPR construct designs is to achieve rapid, robust, heritable gene editing, the formation of unintended mutations at other genomic loci must be carefully monitored.