Stem gall (Protomyces macrosporus Unger), a serious disease that affects leaves, petioles, stems and fruits of coriander (Coriandrum sativum L.) causing heavy loss in yield. Genetic improvement of coriander for stem gall disease is indispensable. Coriander cultivars of stem gall resistance (ACr-1) and susceptible (CS-6) leaf samples were utilized and transcriptome sequenced using Illumina NextSeq500 platform. After trimming low-quality reads and adapter sequences, a total of 49,163,108 and 43,746,120 high-quality reads were retained and further assembly resulted validated transcripts of 59,933 and 56,861. We have predicted 52,506 and 48,858 coding sequences (CDS) of which 50,506 and 46,945 were annotated using NCBInr database. Gene ontology analysis annotated 19,099 and 17,625 terms; pathway analysis obtained 24 different functional pathway categories; signal transduction, transport, catabolism, translation and carbohydrate metabolism pathways etc. were dominated. Differentially expressed genes analysis predicted 13,123 CDS commonly expressed of which 431 and 400 genes were significantly upregulated and downregulated, respectively, in which Rgenes, stress inducible transcription factors such as ERF, NAC, bZIP, MYB, DREB and WRKY and antifungal related genes were predicted. The real-time PCR analysis of HSP20 gene expression in resistance showed upregulation by 10-fold over susceptible sample and 18s used as a housekeeping gene for normalization. The present results provide an insights into various aspects underlying the development of resistance to stem gall in coriander.

Finger millet (Eleusine coracana (L.) Gaertn.), an important C4 species is known for its stress hardiness and nutritional significance. To identify novel drought responsive mechanisms, we generated transcriptome data from leaf tissue of finger millet, variety GPU-28, exposed to gravimetrically imposed drought stress so as to simulate field stress conditions. De novo assembly basedapproach yielded 80,777 and 90,830 transcripts from well-irrigated (control) and drought-stressed samples, respectively. A total of 1790 transcripts were differentially expressed between the control and drought-stress treatments. Functional annotation and pathway analysis indicated activation of diverse drought-stress signalling cascade genes such as serine threonine protein phosphatase 2A (PP2A), calcineurin B-like interacting protein kinase31 (CIPK31), farnesyl pyrophosphate synthase (FPS), signal recognition particle receptor α (SRPR α) etc. The basal regulatory genes such as TATA-binding protein (TBP)-associated factors (TAFs) werefound to be drought responsive, indicating that genes associated with housekeeping or basal regulatory processes are activated underdrought in finger millet. A significant portion of the expressed genes was uncharacterized, belonging to the category of proteins of unknown functions (PUFs). Among the differentially expressed PUFs, we attempted to assign putative function for a few, using anovel annotation tool, Proteins of Unknown Function Annotation Server. Analysis of PUFs led to the discovery of novel drought responsive genes such as pentatricopeptide repeat proteins and tetratricopeptide repeat proteins that serve as interaction modules in multiprotein interactions. The transcriptome data generated can be utilized for comparative analysis, and functional validation of the genes identified would be useful to understand the drought adaptive mechanisms operating under field conditions in finger millet, as has been already attempted for a few candidates such as CIPK31 and TAF6. Such an attempt is needed to enhance the productivity of finger millet under water-limited conditions, and/or to adopt the implicated mechanisms in other related crops.

Oil palm (Elaeis guineensis Jacq.) is a perennial vegetable and a high oil-yielding crop (4–6 t/ha). There is a large scope for increasing the oil yield by selecting elite planting material for breeding programme in germplasm evaluation, characterization and utilization. In the present study, a diverse range of 150 oil palm genotypes were characterized using 12 quantitative variables with 54genomic microsatellite markers. A wide variation was observed in the morphological traits among indigenous populations. Highly significantand positive correlations were observed between vegetative dry matter (VDM) and total dry matter (TDM) (0.862), and height and height increment (0.838). The first two principal component analyses explained 67.7% of total variation among morphological traits. The genotypes IC0610001-59 (Pune-2) and IC0610001-60 (Pune-2) were found highly promising based on less height increment, more TDMwith high yield. For the mapping study, general linear model (GLM) approach, quantitative-trait loci (QTL) for annual height increment, number of bunches, bunch yield and bunch index were linked to simple-sequence repeat (SSR) loci mEgCIR3649 with phenotypic variance of 15.08, 10.43, 11.74, 15.39. TDM and VDM were linked to mEgCIR0192 (27.34 and 24.19%), mEgCIR3684 (16.84 and 18.30%), SPSC00163 (18.8 and 15.39%) and mEgCIR0555 (16.47 and 18.81%), with at a significant threshold (P) level of B0.001 and by mixed linear model (MLM) approach. TDM was linked to mEgCIR0555 with phenotypic variance of 20.72%, bunch yield and bunch index were linked to mEgCIR2813 at phenotypic variance of 17.11% and 12.88%, respectively, at a significant threshold (P) level of B0.01.