New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study.

BACKGROUND: Rice (Oryza sativa L.) is one of the globally important staple food crops, and yield-related traits are prerequisites for improved breeding efficiency in rice. Here, we used six different genome-wide association study (GWAS) models for 198 accessions, with 553,229 single nucleotide markers (SNPs) to identify the quantitative trait nucleotides (QTNs) and candidate genes (CGs) governing rice yield. RESULTS: Amongst the 73 different QTNs in total, 24 were co-localized with already reported QTLs or loci in previous mapping studies. We obtained fifteen significant QTNs, pathway analysis revealed 10 potential candidates within 100kb of these QTNs that are predicted to govern plant height, days to flowering, and plot yield in rice. Based on their superior allelic information in 20 elite and 6 inferior genotypes, we found a higher percentage of superior alleles in the elite genotypes in comparison to inferior genotypes. Further, we implemented expression analysis and enrichment analysis enabling the identification of 73 candidate genes and 25 homologues of Arabidopsis, 19 of which might regulate rice yield traits. Of these candidate genes, 40 CGs were found to be enriched in 60 GO terms of the studied traits for instance, positive regulator metabolic process (GO:0010929), intracellular part (GO:0031090), and nucleic acid binding (GO:0090079). Haplotype and phenotypic variation analysis confirmed that LOC_OS09G15770, LOC_OS02G36710 and LOC_OS02G17520 are key candidates associated with rice yield. CONCLUSIONS: Overall, we foresee that the QTNs, putative candidates elucidated in the study could summarize the polygenic regulatory networks controlling rice yield and be useful for breeding high-yielding varieties.

Transcriptome-wide association mapping provides insights into the genetic basis and candidate genes governing flowering, maturity and seed weight in rice bean (Vigna umbellata).

BACKGROUND: Rice bean (Vigna umbellata), an underrated legume, adapts to diverse climatic conditions with the potential to support food and nutritional security worldwide. It is used as a vegetable, minor food crop and a fodder crop, being a rich source of proteins, minerals, and essential fatty acids. However, little effort has been made to decipher the genetic and molecular basis of various useful traits in this crop. Therefore, we considered three economically important traits i.e., flowering, maturity and seed weight of rice bean and identified the associated candidate genes employing an associative transcriptomics approach on 100 diverse genotypes out of 1800 evaluated rice bean accessions from the Indian National Genebank. RESULTS: The transcriptomics-based genotyping of one-hundred diverse rice bean cultivars followed by pre-processing of genotypic data resulted in 49,271 filtered markers. The STRUCTURE, PCA and Neighbor-Joining clustering of 100 genotypes revealed three putative sub-populations. The marker-trait association analysis involving various genome-wide association study (GWAS) models revealed significant association of 82 markers on 48 transcripts for flowering, 26 markers on 22 transcripts for maturity and 22 markers on 21 transcripts for seed weight. The transcript annotation provided information on the putative candidate genes for the considered traits. The candidate genes identified for flowering include HSC80, P-II PsbX, phospholipid-transporting-ATPase-9, pectin-acetylesterase-8 and E3-ubiquitin-protein-ligase-RHG1A. Further, the WRKY1 and DEAD-box-RH27 were found to be associated with seed weight. Furthermore, the associations of PIF3 and pentatricopeptide-repeat-containing-gene with maturity and seed weight, and aldo-keto-reductase with flowering and maturity were revealed. CONCLUSION: This study offers insights into the genetic basis of key agronomic traits in rice bean, including flowering, maturity, and seed weight. The identified markers and associated candidate genes provide valuable resources for future exploration and targeted breeding, aiming to enhance the agronomic performance of rice bean cultivars. Notably, this research represents the first transcriptome-wide association study in pulse crop, uncovering the candidate genes for agronomically useful traits.

Genome-wide association study identifies novel loci and candidate genes for rust resistance in wheat (Triticum aestivum L.).

BACKGROUND: Wheat rusts are important biotic stresses, development of rust resistant cultivars through molecular approaches is both economical and sustainable. Extensive phenotyping of large mapping populations under diverse production conditions and high-density genotyping would be the ideal strategy to identify major genomic regions for rust resistance in wheat. The genome-wide association study (GWAS) population of 280 genotypes was genotyped using a 35 K Axiom single nucleotide polymorphism (SNP) array and phenotyped at eight, 10, and, 10 environments, respectively for stem/black rust (SR), stripe/yellow rust (YR), and leaf/brown rust (LR). RESULTS: Forty-one Bonferroni corrected marker-trait associations (MTAs) were identified, including 17 for SR and 24 for YR. Ten stable MTAs and their best combinations were also identified. For YR, AX-94990952 on 1A + AX-95203560 on 4A + AX-94723806 on 3D + AX-95172478 on 1A showed the best combination with an average co-efficient of infection (ACI) score of 1.36. Similarly, for SR, AX-94883961 on 7B + AX-94843704 on 1B and AX-94883961 on 7B + AX-94580041 on 3D + AX-94843704 on 1B showed the best combination with an ACI score of around 9.0. The genotype PBW827 have the best MTA combinations for both YR and SR resistance. In silico study identifies key prospective candidate genes that are located within MTA regions. Further, the expression analysis revealed that 18 transcripts were upregulated to the tune of more than 1.5 folds including 19.36 folds (TraesCS3D02G519600) and 7.23 folds (TraesCS2D02G038900) under stress conditions compared to the control conditions. Furthermore, highly expressed genes in silico under stress conditions were analyzed to find out the potential links to the rust phenotype, and all four genes were found to be associated with the rust phenotype. CONCLUSION: The identified novel MTAs, particularly stable and highly expressed MTAs are valuable for further validation and subsequent application in wheat rust resistance breeding. The genotypes with favorable MTA combinations can be used as prospective donors to develop elite cultivars with YR and SR resistance.

Genetic diversity, population structure, and genome-wide association study for the flowering trait in a diverse panel of 428 moth bean (Vigna aconitifolia) accessions using genotyping by sequencing.

BACKGROUND: Moth bean (Vigna aconitifolia) is an underutilized, protein-rich legume that is grown in arid and semi-arid areas of south Asia and is highly resistant to abiotic stresses such as heat and drought. Despite its economic importance, the crop remains unexplored at the genomic level for genetic diversity and trait mapping studies. To date, there is no report of SNP marker discovery and association mapping of any trait in this crop. Therefore, this study aimed to dissect the genetic diversity, population structure and marker-trait association for the flowering trait in a diversity panel of 428 moth bean accessions using genotyping by sequencing (GBS) approach. RESULTS: A total of 9078 high-quality single nucleotide polymorphisms (SNPs) were discovered by genotyping of 428 moth bean accessions. Model-based structure analysis and PCA grouped the moth bean accessions into two subpopulations. Cluster analysis revealed accessions belonging to the Northwestern region of India had higher variability than accessions from the other regions suggesting that this region represents its center of diversity. AMOVA revealed more variations within individuals (74%) and among the individuals (24%) than among the populations (2%). Marker-trait association analysis using seven multi-locus models including mrMLM, FASTmrEMMA FASTmrEMMA, ISIS EM-BLASSO, MLMM, BLINK and FarmCPU revealed 29 potential genomic regions for the trait days to 50% flowering, which were consistently detected in three or more models. Analysis of the allelic effect of the major genomic regions explaining phenotypic variance of more than 10% and those detected in at least 2 environments showed 4 genomic regions with significant phenotypic effect on this trait. Further, we also analyzed genetic relationships among the Vigna species using SNP markers. The genomic localization of moth bean SNPs on genomes of closely related Vigna species demonstrated that maximum numbers of SNPs were getting localized on Vigna mungo. This suggested that the moth bean is most closely related to V. mungo. CONCLUSION: Our study shows that the north-western regions of India represent the center of diversity of the moth bean. Further, the study revealed flowering-related genomic regions/candidate genes which can be potentially exploited in breeding programs to develop early-maturity moth bean varieties.

Meta-QTL analysis in wheat: progress, challenges and opportunities.

Wheat, an important cereal crop globally, faces major challenges due to increasing global population and changing climates. The production and productivity are challenged by several biotic and abiotic stresses. There is also a pressing demand to enhance grain yield and quality/nutrition to ensure global food and nutritional security. To address these multifaceted concerns, researchers have conducted numerous meta-QTL (MQTL) studies in wheat, resulting in the identification of candidate genes that govern these complex quantitative traits. MQTL analysis has successfully unraveled the complex genetic architecture of polygenic quantitative traits in wheat. Candidate genes associated with stress adaptation have been pinpointed for abiotic and biotic traits, facilitating targeted breeding efforts to enhance stress tolerance. Furthermore, high-confidence candidate genes (CGs) and flanking markers to MQTLs will help in marker-assisted breeding programs aimed at enhancing stress tolerance, yield, quality and nutrition. Functional analysis of these CGs can enhance our understanding of intricate trait-related genetics. The discovery of orthologous MQTLs shared between wheat and other crops sheds light on common evolutionary pathways governing these traits. Breeders can leverage the most promising MQTLs and CGs associated with multiple traits to develop superior next-generation wheat cultivars with improved trait performance. This review provides a comprehensive overview of MQTL analysis in wheat, highlighting progress, challenges, validation methods and future opportunities in wheat genetics and breeding, contributing to global food security and sustainable agriculture.

First Report of Candidatus Phytoplasma asteris (16SrI-B Subgroup) associated with phyllody disease of moth bean in world.

Moth bean (Vigna aconitifolia), a drought and heat-resistant legume from the Fabaceae family, is commonly cultivated in arid and semi-arid regions of the Indian subcontinent In September 2022, phyllody symptoms (Figure 1) were observed on 50-days-old moth bean plants at the ICAR-NBPGR research farm in Jodhpur, Rajasthan, India. The disease incidence ranged from 10 to 25%. To investigate the cause, ten symptomatic VacoJod (1-10) and ten asymptomatic VacoJod (11-20) Vigna aconitifolia plants were collected. Insect populations were also collected from the vicinity using the sweep-net method to examine the role of insect vectors. The leafhopper was identified based on morphological characterization as Empoasca sp. at the Division of Entomology, ICAR-IARI, New Delhi. DNA was extracted from midribs of all collected plants and the Empoasca sp., using Qiagen DNeasy Plant Mini Kit and Blood and Tissue kit, respectively. Nested polymerase chain reaction (Nested-PCR) with universal primers P1/P7 and R16F2n/R16R2 (Deng and Hiruki, 1991; Gundersen and Lee, 1996), and secA gene primers (secAfor1/secArev3 and secAfor2/secArev3) (Hodgetts et al., 2008) were employed to determine phytoplasma species association. Out of the 10 symptomatic plants and 10 leafhopper samples, 6 leafhopper samples and all symptomatic plants produced expected band sizes for the 16S rRNA (approximately 1.25 kb) and secA gene (480 bp). The PCR products were cloned, sequenced, and sequences (two each from moth bean and leafhopper) were submitted to NCBI GenBank with accession numbers OP941130, OP941132, OP941133 and OP941134 for 16S rRNA and OP958868, OP958869, OP958870, and OP958871 for secA gene sequences. Nucleotide BLAST analysis of 16S rRNA sequences revealed a minimum of 99.92% similarity with 'Primula acaulis' yellows phytoplasma (KJ494340) from Czech Republic. All 100% hits corresponded to 16SrI-B group phytoplasmas, for example rapeseed phyllody phytoplasma (CP055264) from Taiwan. Similarly, nucleotide BLAST analysis of secA sequences revealed a minimum of 99.15% sequence similarity with Paulownia witches'-broom phytoplasma (secA) (OP124308) from China. All 100% hits were of 16SrI-B group phytoplasmas, for example Ageratum conyzoides yellowing phytoplasma (MW401697, secA) from India. Phylogenetic analysis using MEGA11 (Tamura et al., 2021) clustered the moth bean and Empoasca sp. phytoplasma strains with 16SrI-B phytoplasma reference strains. iPhyClassifier tool classified the 16S rRNA gene sequences into 16Sr group I, subgroup B, with a similarity coefficient of 1.0 (Figure 2a, 2b). This marks the first report of the association of 'Ca. P. asteris' 16SrI-B related phytoplasma strain with moth bean plants globally. The 16SrI-B phytoplasma strain is prevalent in various crops in India (Singh et al., 2023). This report emphasizes the epidemiological studies and highlights the need for further research and preventive measures to manage the spread of this phytoplasma strain, which could impact crop production and food security in hot and dry regions.

Wheat spike blast: genetic interventions for effective management.

The fundamental concepts of the genetics, race classification and epidemiology of the Wheat spike blast causing fungus Magnaporthe oryzae pathotype Triticum (MoT) are still evolving despite of its discovery in 1985 in Brazil for the first time. The fungus seems to defy the research progress that is being made globally by continuously evolving into pathotypes which have already overcome the much celebrated 2NS resistance in wheat lines as well as few of the initially effective fungicides. The compartmentalized i.e. two speed genome of the MoT, conferring the fungus an evolutionary advantage, has emerged as a challenge for the wheat spike blast researchers complicating its already difficult management. The airborne fungus with a range of alternative hosts is finding new geographical niches situated on different continents and is a matter of great apprehension among the nations whose food security is primarily dependent on wheat. The wheat blast outbreak in Bangladesh during 2016 was attributed to an isolate from Latin America escaping through a seed import consignment while the latest Zambian outbreak is still to be studied in detail regarding its origin and entry. The challenges in dealing wheat spike blast are not only on the level of genetics and epidemiology alone but also on the levels of policy making regarding international seed movement and research collaborations. The present review deals with these issues mainly concerning the effective management and controlling the international spread of this deadly disease of wheat, with a particular reference to India. We describe the origin, taxonomy, epidemiology and symptomology of MoT and briefly highlight its impact and management practices from different countries. We also discuss the advances in genomics and genome editing technologies that can be used to develop elite wheat genotypes resistant against different stains of wheat spike blast.

Elucidating the Population Structure and Genetic Diversity of Indian Puccinia striiformis f. sp. tritici Pathotypes Based on Microsatellite Markers.

In India, systematic wheat yellow rust survey and pathotype (race) analysis work began in 1930. However, information on population structure and genetic diversity of yellow rust pathogen has not been available. To address this, we conducted studies on population structure and genetic diversity of Puccinia striiformis f. sp. tritici (Pst) pathotypes using 38 simple sequence repeat primer-pairs. Bayesian assignment and discriminant analysis of principal components indicated the presence of two distinct Pst subpopulations (Pop1 and Pop2) along with 37.9% admixed pathotypes. The unweighted pair-group method with arithmetic mean also categorized these pathotypes into two major clusters. Principal coordinates analysis explained 20.06 and 12.50% variance in horizontal and vertical coordinates, respectively. Index of association (IA) and the standardized index of association ([Formula: see text]) values showed that Pst subpopulations reproduced asexually (clonally). In total, 102 alleles were detected, with the expected heterozygosity (Hexp) per locus ranging from 0.13 to 0.73, with a mean of 0.47. The average polymorphic information content value of 0.40 indicated high genetic diversity among pathotypes. Analysis of molecular variance revealed 12% of the total variance between subpopulations, 11% among the pathotypes of each subpopulation, and 77% within pathotypes. A significant moderate level of genetic differentiation (FST = 0.122, P < 0.001) and gene flow (Nm = 1.80) were observed between subpopulations. The Pst virulence phenotypes showed a weak positive correlation (R2 = 0.027, P < 0.02) with molecular genotypes.

Switching to nanonutrients for sustaining agroecosystems and environment: the challenges and benefits in moving up from ionic to particle feeding.

The worldwide agricultural enterprise is facing immense pressure to intensify to feed the world's increasing population while the resources are dwindling. Fertilizers which are deemed as indispensable inputs for food, fodder, and fuel production now also represent the dark side of the intensive food production system. With most crop production systems focused on increasing the quantity of produce, indiscriminate use of fertilizers has created havoc for the environment and damaged the fiber of the biogeosphere. Deteriorated nutritional quality of food and contribution to impaired ecosystem services are the major limiting factors in the further growth of the fertilizer sector. Nanotechnology in agriculture has come up as a better and seemingly sustainable solution to meet production targets as well as maintaining the environmental quality by use of less quantity of raw materials and active ingredients, increased nutrient use-efficiency by plants, and decreased environmental losses of nutrients. However, the use of nanofertilizers has so far been limited largely to controlled environments of laboratories, greenhouses, and institutional research experiments; production and availability on large scale are still lagging yet catching up fast. Despite perceivable advantages, the use of nanofertilizers is many times debated for adoption at a large scale. The scenario is gradually changing, worldwide, towards the use of nanofertilizers, especially macronutrients like nitrogen (e.g. market release of nano-urea to replace conventional urea in South Asia), to arrest environmental degradation and uphold vital ecosystem services which are in critical condition. This review offers a discussion on the purpose with which the nanofertilizers took shape, the benefits which can be achieved, and the challenges which nanofertilizers face for further development and real-world use, substantiated with the significant pieces of scientific evidence available so far.

Comparative physiological, biochemical and transcriptomic analysis of hexaploid wheat (T. aestivum L.) roots and shoots identifies potential pathways and their molecular regulatory network during Fe and Zn starvation.

The combined effect of iron (Fe) and zinc (Zn) starvation on their uptake and transportation and the molecular regulatory networks is poorly understood in wheat. To fill this gap, we performed a comprehensive physiological, biochemical and transcriptome analysis in two bread wheat genotypes, i.e. Narmada 195 and PBW 502, differing in inherent Fe and Zn content. Compared to PBW 502, Narmada 195 exhibited increased tolerance to Fe and Zn withdrawal by significantly modulating the critical physiological and biochemical parameters. We identified 25 core genes associated with four key pathways, i.e. methionine cycle, phytosiderophore biosynthesis, antioxidant and transport system, that exhibited significant up-regulation in both the genotypes with a maximum in Narmada 195. We also identified 26 microRNAs targeting 14 core genes across the four pathways. Together, core genes identified can serve as valuable resources for further functional research for genetic improvement of Fe and Zn content in wheat grain.

Integrated genomic selection for rapid improvement of crops.

An increase in the rate of crop improvement is essential for achieving sustained food production and other needs of ever-increasing population. Genomic selection (GS) is a potential breeding tool that has been successfully employed in animal breeding and is being incorporated into plant breeding. GS promises accelerated breeding cycles through a rapid selection of superior genotypes. Numerous empirical and simulation studies on GS and realized impacts on improvement in the crop yields are recently being reported. For a holistic understanding of the technology, we briefly discuss the concept of genetic gain, GS methodology, its current status, advantages of GS over other breeding methods, prediction models, and the factors controlling prediction accuracy in GS. Also, integration of speed breeding and other novel technologies viz. high throughput genotyping and phenotyping technologies for enhancing the efficiency and pace of GS, followed by its prospective applications in varietal development programs is reviewed.

COVID-19 induced lockdown effect on wheat supply chain and prices in India - Insights from state interventions led resilience.

COVID-19 incidence in India, impacted the food market, wheat in particular, as the crop harvest coincided with the lockdown disrupting the supply chain and prices posing a few researchable issues - the lockdown effect on wheat supply chain; how the state intervention bolstered the sector to restore; the insights the government interventions offer, etc. The study, using the interrupted time series analysis, investigated the disruption in wheat supply chain, and captured the impact of lockdown on wheat prices. Despite relaxation allowed to agricultural-related activities, lack of transport and labour shortage were reported. Nevertheless, the country registered a record wheat procurement of 38.99 million tonnes. Though the prices spiked post-lockdown, there was no evidence of structural-break and persisting volatility. The findings affirm that supply chain disruption is the main driver for the observed price changes and government interventions like staggered procurement and logistics support resulted in restoration of the wheat economy. The relief measures, infrastructure and its efficient usage, and easing restrictions rendered resilience to wheat supply chain against the COVID-19 shocks. The experience of coordinated efforts of the state machinery and the cooperative farm communities offers confidence about the national capacities to manage disasters of even greater scale in agriculture.

Development and validation of heat-responsive candidate gene and miRNA gene based SSR markers to analysis genetic diversity in wheat for heat tolerance breeding.

Being a major staple food crop of the world, wheat provides nutritional food security to the global populations. Heat stress is a major abiotic stress that adversely affects wheat production throughout the world including Indo-Gangatic Plains (IGP) where four wheat growing countries viz., India, Bangladesh, Nepal and Pakistan produce 42% of the total wheat production. Therefore, identification of heat stress responsive molecular markers is imperative to marker assisted breeding programs. Information about trait specific gene based SSRs is available but there is lack of information on SSRs from non-coding regions. In the present study, we developed 177 heat-responsive gene-based SSRs (cg-SSR) and MIR gene-based SSR (miRNA-SSR) markers from wheat genome for assessing genetic diversity analysis of thirty- six contrasting wheat genotypes for heat tolerance. Of the 177 SSR loci, 144 yielded unambiguous and repeatable amplicons, however, thirty-seven were found polymorphic among the 36 wheat genotypes. The polymorphism information content (PIC) of primers used in this study ranged from 0.03-0.73, with a mean of 0.35. Number of alleles produced per primer varied from 2 to 6, with a mean of 2.58. The UPGMA dendrogram analysis grouped all wheat genotypes into four clusters. The markers developed in this study has potential application in the MAS based breeding programs for developing heat tolerant wheat cultivars and genetic diversity analysis of wheat germplasm. Identification of noncoding region based SSRs will be fruitful for identification of trait specific wheat germplasm.

Differential expression profiling of microRNAs and their target genes during wheat-Bipolaris sorokiniana pathosystem.

Wheat spot blotch, caused by Bipolaris sorokiniana, is a serious constraint to wheat production, reducing grain yield and consequently having severe economic impact. Several plant miRNAs have recently been discovered as regulators of gene expression involved in cellular and metabolic functions. So far reports on the roles of miRNAs in B. sorokiniana infection response of wheat are scanty. To further understand the defence mechanism of miRNAs- regulated cellular functions, we examined the expression patterns of 17 miRNAs and their targets involved in the interaction between wheat and B. sorokiniana in two contrasting wheat genotypes, Chiriya-1 and WH-147. All of the miRNAs and target genes were shown to be expressed differentially in both genotypes after B. sorokiniana infection. Seven and nine miRNAs were observed as up-regulated in the resistant genotype Chiriya-1 and the susceptible genotype WH147, respectively. Among the up-regulated miRNAs, ptc-miR901 (~ 10.21 times) accumulated the most in Chiriya-1 followed by ptc-miR1450 (~ 7.6 times) in WH-147. Furthermore, only two miRNAs, tae-miR156 and ptc-miR482c showed a complete inverse relation with their target genes, SPL and NBS-LRR, respectively. This research sheds light on the temporal differential regulation of miRNAs and their targets, which may play a role in wheat adaptation to B. sorokiniana infection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01092-1.

Identification and characterization of multiple abiotic stress tolerance genes in wheat.

Wheat is produced worldwide over six continents with the European Union, China, India, Russia, and the United States as major producer countries. The productivity was recorded 749 million tons by harvesting from 220-million-hectare land. It is the need of the hour to develop stress-tolerant wheat varieties to enhance the productivity by 60% to provide food security to 9.6 billion-world population by 2050. Although the genotypes have been identified for heat, drought and salt tolerance, their underlying mechanism for tolerance is poorly understood. The detailed understanding of the mechanism and identification of critical factors participating in multiple abiotic stress tolerance is essential. In the present study, the contrasting wheat genotypes were intensely characterized and assessed for the expression of different stress responsive genes under lab conditions. The expression analysis revealed that SHN1, DREB6, NHX2 and AVP1 were found to be highly induced under heat, salt and drought stresses in wheat. Thus, these genes can be used as signature genes to identify the multiple stress-tolerant varieties in the breeding program. The novel variants of these genes can be targeted through breeding or genetic engineering or genome editing strategies to develop multiple abiotic stress tolerant wheat varieties.

Optimization of Agrobacterium-mediated transformation in spring bread wheat using mature and immature embryos.

Wheat is the most widely grown staple food crop in the world and accounts for dietary needs of more than 35% of the human population. Current status of transgenic wheat development is slow all over the world due to the lack of a suitable transformation system. In the present study, an efficient and reproducible Agrobacterium-mediated transformation system in bread wheat (Triticum aestivum L.) is established. The mature and immature embryos of six recently released high yielding spring bread wheat genotypes were used to standardize various parameters using Agrobacterium tumefaciens strain EHA105 harbouring binary vector pCAMBIA3301 having gus and bar as marker genes. The optimum duration for embryo pre-culture, inoculation time and co-cultivation were 2 days, 30 min and 48 h, respectively. The bacterial inoculum concentration of OD of 1 at 600 nm showed 67.25% transient GUS expression in the histochemical GUS assay. The filter paper based co-cultivation limits the Agrobacterium overgrowth and had 82.3% explants survival rate whereas medium based strategy had 22.7% explants survival only. The medium having picloram 4 mg/l along with antibiotics (cefotaxime 500 mg/l and timentin 300 mg/l) was found best suitable for initial week callus induction. The standardized procedure gave overall 14.9% transformation efficiency in immature embryos and 9.8% in mature embryos and confirmed by gene-specific and promoter-specific PCR and southern analysis. These results indicate that the developed Agrobacterium-mediated transformation system is suitable for diverse wheat genotypes. The major obstacle for the implication of the CRISPR-based genome editing techniques is the non-availability of a suitable transformation system. Thus, the present system can be exploited to deliver the T-DNA into the wheat genome for CRISPR-based target modifications and transgene insertions.

Novel and conserved heat-responsive microRNAs in wheat (Triticum aestivum L.).

MicroRNAs (miRNAs) are small endogenous RNAs of ~22 nucleotides that have been shown to play regulatory role by negatively affecting the expression of genes at the post-transcriptional level. Information of miRNAs on some important crops like soybean, Arabidopsis, and rice, etc. are available, but no study on heat-responsive novel miRNAs has yet been reported in wheat (Triticum aestivum L.). In the present investigation, a popular wheat cultivar HD2985 was used in small RNA library construction and Illumina HiSeq 2000 was used to perform high-throughput sequencing of the library after cluster generation; 110,896,604 and 87,743,861 reads were generated in the control (22 °C) and heat-treated (42 °C for 2 h) samples, respectively. Forty-four precursor and mature miRNAs were found in T. aestivum from miRBase v 19. The frequencies of the miRNA families varied from 2 (tae-miR1117) to 60,672 (tae-miR159b). We identify 1052 and 902 mature miRNA sequences in HD2985 control and HS-treated samples by mapping on reference draft genome of T. aestivum. Maximum identified miRNAs were located on IWGSC_CSS_3B_scaff (chromosome 3B). We could identify 53 and 46 mature miRNA in the control and HS samples and more than 516 target genes by mapping on the reference genome of Oryza sativa, Zea mays, and Sorghum bicolor. Using different pipelines and plant-specific criteria, 37 novel miRNAs were identified in the control and treated samples. Six novel miRNA were validated using qRT-PCR to be heat-responsive. A negative correlation was, however, observed between the expression of novel miRNAs and their targets. Target prediction and pathway analysis revealed their involvement in the heat stress tolerance. These novel miRNAs are new additions to miRNA database of wheat, and the regulatory network will be made use of in deciphering the mechanism of thermotolerance in wheat.

Zinc and iron concentration QTL mapped in a Triticum spelta × T. aestivum cross.

KEY MESSAGE: Ten QTL underlying the accumulation of Zn and Fe in the grain were mapped in a set of RILs bred from the cross Triticum spelta × T. aestivum . Five of these loci (two for Zn and three for Fe) were consistently detected across seven environments. The genetic basis of accumulation in the grain of Zn and Fe was investigated via QTL mapping in a recombinant inbred line (RIL) population bred from a cross between Triticum spelta and T. aestivum. The concentration of the two elements was measured from grain produced in three locations over two consecutive cropping seasons and from a greenhouse trial. The range in Zn and Fe concentration across the RILs was, respectively, 18.8-73.5 and 25.3-59.5 ppm, and the concentrations of the two elements were positively correlated with one another (rp =+0.79). Ten QTL (five each for Zn and Fe accumulation) were detected, mapping to seven different chromosomes. The chromosome 2B and 6A grain Zn QTL were consistently expressed across environments. The proportion of the phenotype explained (PVE) by QZn.bhu-2B was >16 %, and the locus was closely linked to the SNP marker 1101425|F|0, while QZn.bhu-6A (7.0 % PVE) was closely linked to DArT marker 3026160|F|0. Of the five Fe QTL detected, three, all mapping to chromosome 1A were detected in all seven environments. The PVE for QFe.bhu-3B was 26.0 %.

On-farm crop diversity, conservation, importance and value: a case study of landraces from Western Ghats of Karnataka, India.

Landraces are important genetic resources that have a significant role in maintaining the long-term sustainability of traditional agro-ecosystems, food, nutrition, and livelihood security. In an effort to document landraces in the on-farm conservation context, Central Western Ghat region in India was surveyed. A total of 671 landraces belonging to 60 crops were recorded from 24 sites. The custodian farmers were found to conserve a variety of crops including vegetables, cereals and pulses, perennial fruits, spices, tuber and plantation crops. The survey indicated a difference in the prevalence of landraces across the sites. A significant difference with respect to the Shannon-diversity index, Gini-Simpson index, evenness, species richness, and abundance was observed among the different survey sites. Computation of a prevalence index indicated the need for immediate intervention in the form of collecting and ex situ conservation of landraces of some crops as a back-up to on-farm conservation. The study also identified the critical determinants of on-farm conservation, including (i) suitability to regional conditions, (ii) relevance in regional cuisine and local medicinal practices, (iii) cultural and traditional significance, and (iv) economic advantage. The information documented in this study is expected to promote the collection and conservation of landraces ex situ. The National Genebank housed at ICAR-NBPGR, New Delhi conserves around 550 accessions of landraces collected from the Central Western Ghats region surveyed in this report. Information collected from custodian farmers on specific uses will be helpful to enhance the utilization of these accessions.

Unravelling the novel genetic diversity and marker-trait associations of corn leaf aphid resistance in wheat using microsatellite markers.

The study was conducted to identify novel simple sequence repeat (SSR) markers associated with resistance to corn aphid (CLA), Rhopalosiphum maidis L. in 48 selected bread wheat (Triticum aestivum L.) and wild wheat (Aegilops spp. & T. dicoccoides) genotypes during two consecutive cropping seasons (2018-19 and 2019-20). A total of 51 polymorphic markers containing 143 alleles were used for the analysis. The frequency of the major allele ranged from 0.552 (Xgwm113) to 0.938 (Xcfd45, Xgwm194 and Xgwm526), with a mean of 0.731. Gene diversity ranged from 0.116 (Xgwm526) to 0.489 (Xgwm113), with a mean of 0.354. The polymorphic information content (PIC) value for the SSR markers ranged from 0.107 (Xgwm526) to 0.370 (Xgwm113) with a mean of 0.282. The results of the STRUCTURE analysis revealed the presence of four main subgroups in the populations. Analysis of molecular variance (AMOVA) showed that the between-group difference was around 37 per cent of the total variation contributed to the diversity by the whole germplasm, while 63 per cent of the variation was attributed between individuals within the group. A general linear model (GLM) was used to identify marker-trait associations, which detected a total of 23 and 27 significant new marker-trait associations (MTAs) at the p < 0.01 significance level during the 2018-19 and 2019-20 crop seasons, respectively. The findings of this study have important implications for the identification of molecular markers associated with CLA resistance. These markers can increase the accuracy and efficiency of aphid-resistant germplasm selection, ultimately facilitating the transfer of resistance traits to desirable wheat genotypes.