Cloning and Characterization of Putative Hd6 Ortholog Associated with Zea mays L. Photoperiod Sensitivity

Multistage temporal transcriptomic atlas unveils major contributor to reproductive phase in upland cotton

Flowering is a major developmental transition in plants, but asynchronous flowering hinders the utilization of wild cotton relatives in breeding programs. We performed comparative transcriptomic profiling of early- and late-flowering Gossypium hirsutum genotypes to elucidate genetic factors influencing reproductive timing. Shoot apices were sampled from the photoperiod-sensitive landrace G. hirsutum purpurascens (GhP) and early-maturing variety ZhongMianSuo (ZMS) at five time points following the emergence of sympodial nodes. RNA-sequencing revealed extensive transcriptional differences during floral transition. Numerous flowering-associated genes exhibited genotype-specific expression, including FLOWERING LOCUS T (FT) homologs upregulated in ZMS. FT-interacting factors like SOC1 and CO-like also showed higher expression in ZMS, implicating florigen pathways in early flowering. Additionally, circadian clock and light signalling components were misregulated between varieties, suggesting altered photoperiod responses in GhP. Weighted co-expression network analysis specifically linked a module enriched for circadian-related genes to GhP's late flowering. Through an integrated transcriptome analysis, we defined a regulatory landscape of reproductive phase change in cotton. Differentially expressed genes related to photoperiod, circadian clock, and light signalling likely contribute to delayed flowering in wild cottons. Characterization of upstream flowering regulators will enable modifying photoperiod sensitivity and expand germplasm use for cotton improvement. This study provides candidate targets for elucidating interactive mechanisms that control cotton flowering time across diverse genotypes.

Flowering time regulation model revisited by pooled sequencing of mass selection populations

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.

Long photoperiod affects the maize transition from vegetative to reproductive stages: a proteomic comparison between photoperiod-sensitive inbred line and its recurrent parent

Maize (Zea mays L.) is a typical short-day plant that is produced as an important food product and industrial material. The photoperiod is one of the most important evolutionary mechanisms enabling the adaptation of plant developmental phases to changes in climate conditions. There are differences in the photoperiod sensitivity of maize inbred lines from tropical to temperate regions. In this study, to identify the maize proteins responsive to a long photoperiod (LP), the photoperiod-insensitive inbred line HZ4 and its near-isogenic line H496, which is sensitive to LP conditions, were analyzed under long-day conditions using isobaric tags for relative and absolute quantitation. We identified 5259 proteins in maize leaves exposed to the LP condition between the vegetative and reproductive stages. These proteins included 579 and 576 differentially accumulated proteins in H496 and HZ4 leaves, respectively. The differentially accumulated proteins (e.g., membrane, defense, and energy- and ribosome-related proteins) exhibited the opposite trends in HZ4 and H496 plants during the transition from the vegetative stage to the reproductive stage. These results suggest that the photoperiod-associated fragment in H496 plants considerably influences various proteins to respond to the photoperiod sensitivity. Overall, our data provide new insights into the effects of long-day treatments on the maize proteome, and may be useful for the development of new germplasm.