Allelic imbalance metre (Allim), a new tool for measuring allele‐specific gene expression with RNA‐seq data

Estimating differences in gene expression among alleles is of high interest for many areas in biology and medicine. Here, we present a user‐friendly software tool, Allim, to estimate allele‐specific gene expression. Because mapping bias is a major problem for reliable estimates of allele‐specific gene expression using RNA‐seq, Allim combines two different strategies to account for the mapping biases. In order to reduce the mapping bias, Allim first generates a polymorphism‐aware reference genome that accounts for the sequence variation between the alleles. Then, a sequence‐specific simulation tool estimates the residual mapping bias. Statistical tests for allelic imbalance are provided that can be used with the bias corrected RNA‐seq data.     

A novel Meloidogyne graminicola effector,MgMO237, interacts with multiple host defence‐related proteins to manipulate plant basal immunity and promote parasitism

Plant‐parasitic nematodes can secrete effector proteins into the host tissue to facilitate their parasitism. In this study, we report a novel effector protein, MgMO237, from Meloidogyne graminicola, which is exclusively expressed within the dorsal oesophageal gland cell and markedly up‐regulated in parasitic third‐/fourth‐stage juveniles of M. graminicola. Transient expression of MgMO237 in protoplasts from rice roots showed that MgMO237 was localized in the cytoplasm and nucleus of the host cells. Rice plants overexpressing MgMO237 showed an increased susceptibility to M. graminicola. In contrast, rice plants expressing RNA interference vectors targeting MgMO237 showed an increased resistance to M. graminicola. In addition, yeast two‐hybrid and co‐immunoprecipitation assays showed that MgMO237 interacted specifically with three rice endogenous proteins, i.e. 1,3‐β‐glucan synthase component (OsGSC), cysteine‐rich repeat secretory protein 55 (OsCRRSP55) and pathogenesis‐related BetvI family protein (OsBetvI), which are all related to host defences. Moreover, MgMO237 can suppress host defence responses, including the expression of host defence‐related genes, cell wall callose deposition and the burst of reactive oxygen species. These results demonstrate that the effector MgMO237 probably promotes the parasitism of M. graminicola by interacting with multiple host defence‐related proteins and suppressing plant basal immunity in the later parasitic stages of nematodes.     

Interactions between Escherichia coli and the plant‐parasitic nematode Meloidogyne javanica

Aims: To determine the potential of the plant‐parasitic nematode Meloidogyne javanica to serve as a temporary reservoir for Escherichia coli. Methods and Results: The adhesion to and persistence of E. coli on the surface of M. javanica were evaluated at different times and temperatures. A pure culture of green fluorescent protein (GFP) tagged E. coli was mixed with ca. 1000 J2 M. javanica for 2 h at 25°C. The nematodes were then washed and the rate of the adhesion of the bacteria to the nematodes was determined by counting the viable nematode‐associated E. coli, and by fluorescence microscopy. A dose‐dependent adhesion rate was observed only at a bacterium to nematode ratio of 10⁴–10⁶ : 1. The adhesion of E. coli to the nematodes was also tested over a 24 h‐period at 4°C, 25°C and 37°C. At 4°C and 37°C, maximal adhesion was observed at 5 h; whereas at 25°C, maximal adherence was observed at 8 h. Survival experiments showed that the bacteria could be detected on the nematodes for up to 2 weeks when incubated at 4°C and 25°C, but not at 37°C. Conclusions: Under laboratory conditions, at 4°C and 25°C, M. javanica could serve as a temporary vector for E. coli for up to 2 weeks. Significance and Impact of the Study: These findings support the hypothesis that, in the presence of high concentrations of E. coli, M. javanica might serve as a potential vehicle for the transmission of food‐borne pathogens.     

Haplotype analysis of key genes governing grain yield and quality traits across 3K RG panel reveals scope for the development of tailor‐made rice with enhanced genetic gains

Though several genes governing various major traits have been reported in rice, their superior haplotype combinations for developing ideal variety remains elusive. In this study, haplotype analysis of 120 previously functionally characterized genes, influencing grain yield (87 genes) and grain quality (33 genes) revealed significant variations in the 3K rice genome (RG) panel. For selected genes, meta‐expression analysis using already available datasets along with co‐expression network provided insights at systems level. Also, we conducted candidate gene based association study for the 120 genes and identified 21 strongly associated genes governing 10‐grain yield and quality traits. We report superior haplotypes upon phenotyping the subset of 3K RG panel, SD1‐H8 with haplotype frequency (HF) of 30.13% in 3K RG panel, MOC1‐H9 (HF: 23.08%), IPA1‐H14 (HF: 6.64%), DEP3‐H2 (HF: 5.59%), DEP1‐H2 (HF: 37.53%), SP1‐H3 (HF: 5.05%), LAX1‐H5 (HF: 1.56%), LP‐H13 (3.64%), OSH1‐H4 (5.52%), PHD1‐H14 (HF: 15.21%), AGO7‐H15 (HF: 3.33%), ROC5‐H2 (31.42%), RSR1‐H8 (HF: 4.20%) and OsNAS3‐H2 (HF: 1.00%). For heading date, Ghd7‐H8 (HF: 3.08%), TOB1‐H10 (HF: 4.60%) flowered early, Ghd7‐H14 (HF: 42.60%), TRX1‐H9 (HF: 27.97%), OsVIL3‐H14 (HF: 1.72%) for medium duration flowering, while Ghd7‐H6 (HF: 1.65%), SNB‐H9 (HF: 9.35%) were late flowering. GS5‐H4 (HF: 65.84%) attributed slender, GS5‐H5 (HF: 29.00%), GW2‐H2 (HF: 4.13%) were medium slender and GS5‐H9 (HF: 2.15%) for bold grains. Furthermore, haplotype analysis explained possible genetic basis for superiority of selected mega‐varieties. Overall, this study suggests the possibility for developing next‐generation tailor‐made rice with superior haplotype combinations of target genes suiting future food and nutritional demands via haplotype‐based breeding.