Tolerance mechanisms in maize identified through phenotyping and transcriptome analysis in response to water deficit stress.

Water deficit is a key limiting factor for maize (Zea mays L.) productivity. Elucidating the molecular regulatory networks of stress tolerance is crucial for genetic enhancement of drought tolerance. Two genotypes of maize contrasting in their yield response to water deficit were evaluated for tolerance traits of water relations, net CO2 assimilation rate, antioxidative metabolism and grain yield in relation to the expression levels, based on transcription profiling of genes involved in stress signaling, protein processing and energy metabolism to identify functional tolerance mechanisms. In the genotype SNJ201126 upregulation of calcium mediated signaling, plasma membrane and tonoplast intrinsic proteins and the membrane associated transporters contributed to better maintenance of water relations as evident from the higher relative water content and stomatal conductance at seedling and anthesis stages coupled with robust photosynthetic capacity and antioxidative metabolism. Further the protein folding machinery consisting of calnexin/calreticulin (CNX/CRT) cycle was significantly upregulated only in SNJ201126. While the down regulation of genes involved in photosystems and the enzymes of carbon fixation led to the relative susceptibility of genotype HKI161 in terms of reduced net CO2 assimilation rate, biomass and grain yield. Our results provide new insight into intrinsic functional mechanisms related to tolerance in maize. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01003-4.

The mitochondrial genome of the peach fruit fly, Bactrocera zonata (Saunders) (Diptera: Tephritidae): Complete DNA sequence, genome organization, and phylogenetic analysis with other tephritids using next generation DNA sequencing.

Mitochondrial genome can provide information for genomic structure as well as for phylogenetic analysis and evolutionary biology. The complete 15,935 bp mitochondrial genome of Bactrocera zonata (Diptera: Tephritidae), is assembled from Illumina MiSeq read data. The mitogenome information for B. zonata was compared to the homologous sequences of other tephritids. Annotation indicated that the structure and orientation of 13 protein coding genes (PCGs), 22 tRNA and 2 rRNA sequences were typical of, and similar to, the ten closely related tephritid species. The nucleotide composition shows heavily biased toward As and Ts accounting 73.34% and exhibits a slightly positive AT skew, which is similar to other known tephritid species. All PCGs are initiated by ATN codons, except for cox1 with TCG and atp8 with GTG. Nine PCGs use a common stop codon of TAA or TAG, whereas the remaining four use an incomplete termination codon T or TA likely to be completed by adenylation. All tRNAs have the typical clover-leaf structure, with an exception for trnS((AGN)). Four short intergenic spacers showed high degree of conservation among B. zonata and other ten tephritids. A poly(T) stretch at the 5' end followed by [TA(A)]n-like stretch and a tandem repeats of 39 bp has been observed in CR. The analysis of gene evolutionary rate revealed that the cox1 and atp6 exhibits lowest and highest gene substitution rates, respectively than other genes. The phylogenetic relationships based on Maximum Likelihood method using all protein-coding genes and two ribosomal RNA genes confirmed that B. zonata is closely related to Bactrocera correcta, Bactrocera carambolae, Bactrocera papayae, and Bactrocera philippinensis and Bactrocera dorsalis belonging to B. dorsalis species complex forms a monophyletic clade, which is in accordance with the traditional morphological classification and recent molecular works.

Model and scenario variations in predicted number of generations of Spodoptera litura Fab. on peanut during future climate change scenario.

The present study features the estimation of number of generations of tobacco caterpillar, Spodoptera litura. Fab. on peanut crop at six locations in India using MarkSim, which provides General Circulation Model (GCM) of future data on daily maximum (T.max), minimum (T.min) air temperatures from six models viz., BCCR-BCM2.0, CNRM-CM3, CSIRO-Mk3.5, ECHams5, INCM-CM3.0 and MIROC3.2 along with an ensemble of the six from three emission scenarios (A2, A1B and B1). This data was used to predict the future pest scenarios following the growing degree days approach in four different climate periods viz., Baseline-1975, Near future (NF) -2020, Distant future (DF)-2050 and Very Distant future (VDF)-2080. It is predicted that more generations would occur during the three future climate periods with significant variation among scenarios and models. Among the seven models, 1-2 additional generations were predicted during DF and VDF due to higher future temperatures in CNRM-CM3, ECHams5 & CSIRO-Mk3.5 models. The temperature projections of these models indicated that the generation time would decrease by 18-22% over baseline. Analysis of variance (ANOVA) was used to partition the variation in the predicted number of generations and generation time of S. litura on peanut during crop season. Geographical location explained 34% of the total variation in number of generations, followed by time period (26%), model (1.74%) and scenario (0.74%). The remaining 14% of the variation was explained by interactions. Increased number of generations and reduction of generation time across the six peanut growing locations of India suggest that the incidence of S. litura may increase due to projected increase in temperatures in future climate change periods.