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Chickpea (Cicer arietinum L.) is a major grain legume and a good source of plant-based protein. However, comprehensive knowledge of flowering time control in Cicer is lacking. In this study, we acquire high-throughput transcriptome sequencing data and analyze changes in gene expression during floral transition in the early flowering cultivar ICCV 96029, later flowering C. arietinum accessions, and two wild species, C. reticulatum and C. echinospermum. We identify Cicer orthologs of A. thaliana flowering time genes and analyze differential expression of 278 genes between four species/accessions, three tissue types, and two conditions. Our results show that the differences in gene expression between ICCV 96029 and other cultivated chickpea accessions are vernalization-dependent. In addition, we highlight the role of FTa3, an ortholog of FLOWERING LOCUS T in Arabidopsis, in the vernalization response of cultivated chickpea. A common set of differentially expressed genes was found for all comparisons between wild species and cultivars. The direction of expression change for different copies of the FT-INTERACTING PROTEIN 1 gene was variable in different comparisons, which suggests complex mechanisms of FT protein transport. Our study makes a contribution to the understanding of flowering time control in Cicer, and can provide genetic strategies to further improve this important agronomic trait. [ABSTRACT FROM AUTHOR]

Virus-induced flowering (VIF) exploits RNA or DNA viruses to express flowering time genes to induce flowering in plants. Such plant virus-based tools have recently attracted widespread attention for their fundamental and applied uses in flowering physiology and in accelerating breeding in dicotyledonous crops and woody fruit-trees. We now extend this technology to a monocot grass and a cereal crop. Using a Foxtail mosaic virus (FoMV)-based VIF system, dubbed FoMViF, we showed that expression of florigenic Flowering Locus T (FT) genes can promote early flowering and spikelet development in proso millet, a C4 grass species with potential as a nutritional food and biofuel resource, and in non-vernalized C3 wheat, a major food crop worldwide. Floral and spikelet/grain induction in the two monocot plants was caused by the virally expressed untagged or FLAG-tagged FT orthologs, and the florigenic activity of rice Hd3a was more pronounced than its dicotyledonous counterparts in proso millet. The FoMViF system is easy to use and its efficacy to induce flowering and early spikelet/grain production is high. In addition to proso millet and wheat, we envisage that FoMViF will be also applicable to many economically important monocotyledonous food and biofuel crops. [ABSTRACT FROM AUTHOR]

Invasive species stand accused of a familiar litany of offences, including displacing native species, disrupting ecological processes and causing billions of dollars in ecological damage (Cox ). Despite these transgressions, invasive species have at least one redeeming virtue - they offer us an unparalleled opportunity to investigate colonization and responses of populations to novel conditions in the invaded habitat (Elton ; Sakai et al. ). Invasive species are by definition colonists that have arrived and thrived in a new location. How they are able to thrive is of great interest, especially considering a paradox of invasion (Sax & Brown ): if many populations are locally adapted (Leimu & Fischer ), how could species introduced into new locations become so successful? One possibility is that populations adjust to the new conditions through plasticity - increasing production of allelopathic compounds (novel weapons), or taking advantage of new prey, for example. Alternatively, evolution could play a role, with the populations adapting to the novel conditions of the new habitat. There is increasing evidence, based on phenotypic data, for rapid adaptive evolution in invasive species (Franks et al. ; Colautti & Barrett ; Sultan et al. ). Prior studies have also demonstrated genetic changes in introduced populations using neutral markers, which generally do not provide information on adaptation. Thus, the genetic basis of adaptive evolution in invasive species has largely remained unknown. In this issue of Molecular Ecology, Vandepitte et al. () provide some of the first evidence in invasive populations for molecular genetic changes directly linked to adaptation. [ABSTRACT FROM AUTHOR]

• Mass selection is an effective method for population improvement. • Based on the allele frequency changes can detect the selected genes during the population improvement. • Flowering time changes during the mass-selection process is mainly due to the allele frequency changes. • Combine the bulked sample sequencing and weight gene co-expression network analysis methods can identify the genetic locus that controlling the flowering time. • We identified the candidate genes that are significantly associated with flowering time. Maize is one of the most broadly cultivated crops throughout the world, and flowering time is a major adaptive trait for its diffusion. The biggest challenge in understanding maize flowering genetic architecture is that the trait is confounded with population structure. To eliminate the effect, we revisited the flower time genetic network by using a tropical maize population Pop32, which was under mass selection for adaptation to early flowering time in China for six generations from tropical to temperate regions. The days to anthesis (DTA) of the initial (Pop32C0), intermedia (Pop32C3), and final population (Pop32C5) was 90.77, 84.63, and 79.72 days on average, respectively. To examine the genetic mechanism and identify the genetic loci underlying this rapid change in flowering time of Pop32, we bulked 30 individuals from C0, C3, and C5 to conduct the whole genome sequencing. And we finally identified 4,973,810 high-quality single nucleotide polymorphisms (SNPs) and 6,517 genes with allele frequency significantly changed during the artificial improvement process. We speculate that these genes might participate in the adaptive improvement process and control flowering time. To identify the candidate genes for flowering time from the gene set with allele frequency changed, we carried out weighted gene co-expression network analysis (WGCNA), and identified four co-expression modules that highly associated with the flowering time development, as well as constructed the co-expression network of key flowering time genes. Gene Ontology (GO) enrichment analysis revealed that the GO terms photosynthesis/light reaction, carbohydrate binding, auxin mediated signaling pathway, response to temperature stimulus that are closely connected with flowering time. Furthermore, targeted GWAS revealed the genes are significantly connected with the flowering time. qRT-PCR of four candidate genes GRMZM2G019879 , GRMZM2G055905 , GRMZM2G058158 , and GRMZM2G171365 showed that their expression level is similar to the flowering time genes, which playing a key role in maize flowering time transition. This study revealed that the changes of flowering time in mass selection process may be strongly associated with the variations of allele frequency changes, and we identified some important candidate genes for flowering time, which will provide a new insight for the rapid improvement of maize important agronomic traits and promote the gene cloning of maize flowering time. [ABSTRACT FROM AUTHOR]