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Soil chronosequence is of great important in studying rates and directions of soil evolution, which can provide valuable information for the validation of soil genesis theory. However, the variation of microbial composition and structure in a calcareous soil chronosequence in karst region of southwest China is not clear. To reveal the response of microbial communities and their metabolic functions to calcareous succession process, a chronosequence of four calcareous soils (black calcareous soil, brown calcareous soil, yellow calcareous soil and red calcareous soil) with a depth of 0-20 cm from tropical monsoon rainforests of Guangxi Nonggang National Nature Reserve, southwest China was collected to analyze the soil physichemical and microbial properties. The results showed that the overall soil nutrient contents decreased along calcareous soil chronosequences and all calcareous soils were nitrogen (N) limitation. And, there were significant differences in the structure of microbial communities in calcareous soil chronosequences. To accommodate N-restriction, fungal community shifted from pathotroph to symbiotroph trophic pattern and Ectomycorrhizal fungi (ECM) emerged. ECM competing with free-living decomposers for N will slow soil carbon (C) cycling and increase soil C storage. Penicillium and Gaiella, the keystone genera, were related to phosphorus (P) cycle closely. Taken together, the occurrence of these microorganisms emphasizes the importance for C, N and P cycle in calcareous chronosequence soils and thus contributes to the ongoing worldwide endeavor to characterize their function for investigating the rate and direction of calcareous pedogenic changes., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Soil organic carbon (SOC) is an important component of soil ecosystems, and soils are a hotbed of microorganisms playing critical roles in soil functions and ecosystem services. Understanding the interaction between SOC and soil microbial community is of paramount significance in predicting the C fate in soils following vegetation restoration. In this study, high-throughput sequencing of 16S rRNA and ITS genes combined with 13 C NMR spectroscopy analysis were applied to characterize SOC chemical compounds and elucidate associated soil microbial community. Our results indicated that the contents of SOC, total nitrogen, total phosphorus, microbial biomass carbon and biomass nitrogen, dissolved organic carbon, available potassium, exchangeable calcium and soil moisture increased significantly (P < 0.05) along with the vegetation restoration processes from corn land, grassland, shrub land, to secondary and primary forests. Moreover, the Alkyl C and O-alkyl C abundance increased with vegetation recovery, but no significant differences of Alkyl C were observed in different successional stages. In contrast, the relative abundance of Methoxyl C showed an opposite trend. The dominate phyla Proteobacteria, Acidobacteria, Actinobacteria, Ascomycota and Basidiomycota were strongly related to SOC. And, SOC was found to be the determining factor shaping soil bacterial and fungal communities in vegetation restoration processes. The complexity of soil bacteria and fungi interactions along the vegetation restoration chronosequence increased. Determinism was the major assembly mechanism of bacterial community while stochasticity dominated the assembly of fungal community. Bryobacter, Haliangium, and MND1 were identified as keystone genera in co-occurrence network. Besides, the dominant functional groups across all vegetation restoration processes were mainly involved in soil C and N cycles and linked to the enhanced recalcitrant SOC storage. Our results provide invaluable reference to advance the understanding of microbe response to vegetation restoration processes and highlight the impact of microbes on recalcitrant SOC storage., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Stripe rust is a foliar disease in wheat caused by Puccinia striiformis f. tritici . The best way to protect wheat from this disease is by growing resistant cultivars. Tetraploid wheat can serve as a good source of valuable genetic diversity for various traits. Here, we report the mapping of nine stripe rust resistance quantitative trait loci (QTL) effective against P. striiformis f. tritici in China and Israel. We used recombinant inbred lines (RILs) developed from a cross between the durum wheat cultivar Svevo and Triticum dicoccoides accession Zavitan. By genotyping the RIL population of 137 lines using the wheat 90K single-nucleotide polymorphism array, we mapped an adult-plant resistance locus QYrsv.swust-1BL.1 , the most effective QTL, within a 0.75-centimorgan region in T. turgidum subsp. durum 'Svevo' on chromosome arm 1BL, corresponding to the region of 670.7 to 671.5 Mb on the Chinese Spring chromosome arm 1BL. Of the other eight minor-effect stripe rust QTL, seven were from Svevo and mapped on chromosomes 1A, 1B, 2B, 3A, 4A, and 5A, and one was from Zavitan and mapped on chromosome 2A. Several QTL with epistatic effects were identified as well. The markers linked to the resistance QTL can be useful in marker-assisted selection for incorporation of these resistance QTL into both durum and common wheat cultivars.