Philippa Kaur

NEWS
06 August 2021

COVID vaccine inequity, species swaps — the week in infographics

Nature highlights three key infographics from the week in science and research.

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Inequity in vaccine accessRich nations’ plans to administer booster doses of COVID-19 vaccine to people who have been fully vaccinated have drawn criticism from many global health researchers, who highlight the growing disparities between wealth and access to vaccines. A July report from KFF, a health-policy organization based in San Francisco, California, finds that at current vaccination rates, low-income countries won’t achieve substantial levels of protection until at least 2023.

Sources: KFF/Our World in Data/World Bank

The changing face of ecosystemsDespite alarming declines in some animal and plant species, total biodiversity in many ecosystems is not decreasing. But that doesn’t mean such ecosystems are static. In fact, the mix of species in local communities is changing rapidly almost everywhere on Earth. As some inhabitants disappear, colonizers move in and add to species richness.

Source: S. A. Blowes et al. Science 366, 339–345 (2019).

Genetics behind the menopauseGenetic variants associated with age at onset of menopause have been identified in a large-scale genomic analysis, findings that bring scientists a step closer to predicting and treating early menopause. When the DNA of egg cells in ovaries is damaged in mice, expression of the gene Chek1 promotes DNA repair, whereas expression of Chek2 promotes destruction of the affected cell. The analysis found that variants of the human equivalent of Chek2 and other genes involved in the response to DNA damage are associated with differences in age at natural menopause. It also showed that mice carrying an extra copy of Chek1, or lacking expression of Chek2, had a longer reproductive age span than did typical mice.

doi: https://doi.org/10.1038/d41586-021-02151-z

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Institute of Silviculture, University of Natural Resources and Life Sciences, Vienna (BOKU), Peter-Jordan Str. 82, 1190, Wien, AustriaElisabeth PötzelsbergerEuropean Forest Institute, Platz der Vereinten Nationen 7, 53113, Bonn, GermanyElisabeth PötzelsbergerForest Entomology, Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, SwitzerlandMartin M. GossnerETH Zurich, Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, 8092, Zurich, SwitzerlandMartin M. GossnerForest Protection, Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, SwitzerlandLudwig Beenken & Sophie StrohekerFaculty of Forestry, University of Agriculture, Al. 29 Listopada 46, 31-425, Kraków, PolandAnna Gazda & Srđan KerenForest Research, Forestry Commission, Northern Research Station, Roslin, EH25 9SY, Great BritainMichal PetrNatural Resources Institute Finland, Luke, Latokartanonkaari 9, 00790, Helsinki, FinlandTiina YliojaFEM Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010, San Michele all’Adige, ItalyNicola La PortaThe EFI Project Centre on Mountain Forests MOUNTFOR, Via E. Mach 1, 38010, San Michele all’Adige, ItalyNicola La PortaForest Research Institute, Hellenic Agricultural Organization Demeter, Vassilika, 57006, GreeceDimitrios N. AvtzisWalloon Public service (SPW), 23 av Maréchal Juin, 5030, Gembloux, BelgiumElodie Bay & Marjana WestergrenSlovenian Forestry Institute, Vecna pot 2, 1000, Ljubljana, SloveniaMaarten De Groot & Nikica OgrisInstitute of Forestry and Rural Engineering, Estonian University of Life Sciences, Fr. R. Kreutzwaldi 5, 51006, Tartu, EstoniaRein DrenkhanFaculty of Forestry, “Ștefan cel Mare” University of Suceava, Universității Street 13, 720229, Suceava, RomaniaMihai-Leonard DudumanInstitute for Plant Protection in Horticulture and Forests, Julius Kuehn Institute (Federal Research Centre for Cultivated Plants), Messeweg 11/12, 38104, Braunschweig, GermanyRasmus EnderleDepartment of Entomology, Phytopathologyy and Game fauna, Forest Research Institute – Bulgarian Academy of Sciences, St. Kliment Ohridski 132, 1756, Sofia, BulgariaMargarita GeorgievaDepartment of Fungal Plant Pathology in Forestry, Agriculture and Horticulture, Norwegian Institute of Bioeconomy Research (NIBIO), Innocamp Steinkjer, skolegata 22, 7713, Steinkjer, NorwayAri M. HietalaInstitute for National and International Plant Health, Julius Kuehn Institute (Federal Research Centre for Cultivated Plants), Messeweg 11/12, 38104, Braunschweig, GermanyBjörn HoppeBiodiversité, Gènes et Communautés (BioGeCo), French National Institute for Agriculture, Food, and Environment (INRAE), University Bordeaux, F-33610, Cestas, FranceHervé JactelDepartment of Forestry and Renewable Forest Resources, Biotechnical Faculty, University of Ljubljana, Vecna pot 83, 1000, Ljubljana, SloveniaKristjan JarniFaculty of Forestry, University of Banja Luka, Bulevar vojvode Stepe Stepanovica 75A, 51000, Banja Luka, Bosnia and HerzegovinaSrđan KerenForest Research Institute, National Agricultural Research and Innovation Centre, Farkassziget 3, H-4150, Püspökladány, HungaryZsolt KeseruDepartment of Ecology and Biogeography, Nicolaus Copernicus University, Lwowska 1, PL-87-100, Toruń, PolandMarcin Koprowski & Radoslaw PuchalkaCentre for Climate Change Research, Nicolaus Copernicus University, Lwowska 1, PL-87-100, Toruń, PolandMarcin Koprowski & Radoslaw PuchalkaInstitute of Plant Genetics and Biotechnology SAS, Akademicka 2, P. O. Box 39A, SK-950 07, Nitra, SlovakiaAndrej KormuťákUnidade de Xestión Ambiental e Forestal Sostible, Universidade de Santiago de Compostela, Campus de Lugo, 27002, Lugo, SpainMaría Josefa LombarderoLaboratory of Environmental Toxicology, National Institute of Chemical Physics and Biophysics (NICPB), Akadeemia tee 23, 12618, Tallinn, EstoniaAljona LukjanovaFaculty of Forest Science and Ecology, Agriculture Academy, Vytautas Magnus University, Studentu 11, Akademija, 53361, Kaunas, LithuaniaVitas MarozasMediterranean Facility, European Forest Institute, Sant Pau Art Nouveau Site, Sant Antoni M. Claret 167, 08025, Barcelona, SpainEdurad MauriCentro di Ricerca Foreste e Legno, Council for agricultural research and analysis of the agricultural economy (CREA), Viale Santa Margherita, 80, 52100, Arezzo, ItalyMaria Cristina MonteverdiNorwegian Institute of Bioeconomy Research (NIBIO), P.O. Box 115, NO-1431, Ås, NorwayPer Holm Nygaard“Marin Drăcea” National Research-Development Institute in Forestry, Station Câmpulung Moldovenesc, Calea Bucovinei, 73bis, 725100, Câmpulung Moldovenesc, RomaniaNicolai OleniciEFI Atlantic, European Forest Institute, 69, Route de Arcachon, F-33610, Cestas, FranceChristophe OrazioIEFC Institut Européen de la Forêt Cultivée, 69, Route de Arcachon, F-33610, Cestas, FranceChristophe OrazioDepartment of Forest Protection, Austrian Federal Research Centre for Forests, Natural Hazards and Landscape (BFW), Seckendorff-Gudent-Weg 8, 1131, Vienna, AustriaBernhard PernyCentre for Environmental and Marine Studies (CESAM) & Department of Biology, University of Aveiro, 3810-193, Aveiro, PortugalGlória PintoCoillte Unit 27, Coillte Forest, Danville Business Park, Kilkenny, R95 YT95, IrelandMichael PowerDepartment of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, DK-1958, Frederiksberg C., GermanyHans Peter RavnUCD Forestry, School of Agriculture and Food Science, University College Dublin, UCD Forestry, School of Agriculture and Food Science, University College Dublin, D04 V1W8, Dublin, IrelandIgnacio SevillanoForest Research, Forestry Commission, Northern Research Station, Roslin, Midlothian, EH25 9SY, Great BritainPaul TaylorInstitute of Mediterranean Forest Ecosystems, Hellenic Agricultural Organization “Demeter”-, Terma Alkmanos, 11528, Athens, GreecePanagiotis TsopelasFaculty of Forestry and Wood Technology, Mendel University, Zemědělská 3, 613 00, Brno, Czech RepublicJosef UrbanSiberian Federal University, Svobodnyy Ave, 79, 660041, Krasnoyarsk, RussiaJosef UrbanInstitute of Forestry and Rural Engineering, EstonianUniversity of Life Sciences, Kreutzwaldi 5, 51006, Tartu, EstoniaKaljo VoolmaSouthern Swedish Forest Research Center, PO Box 49, SE-230 53, Alnarp, SwedenJohanna WitzellPolissya Branch, Ukrainian Research Institute of Forestry and Forest Melioration, Neskorenych st. 2, Dovzhik, UkraineOlga ZborovskaInstitute of Lowland Forestry and Environment (ILFE), University of Novi Sad, Antona Cehova 13d, 21 000, Novi Sad, SerbiaMilica ZlatkovicE.P., A.G, M.P., T.Y. and N.L.P. developed the concept and design of the study and organised the data collection, E.P., M.M.G. and L.B. managed the database, homogenised and cleaned the data, E.P. and M.M.G. performed the analysis and all other co-authors collected and synthesised the information for their respective countries. E.P., M.M.G. and L.B. wrote the paper and all other co-authors reviewed the paper. More

1.Batjes, N. H. Total carbon and nitrogen in the soils of the world. Eur. J. Soil Sci. 65, 10–21 (1996).Article 
CAS 

Google Scholar 
2.Lal, R. Soil carbon sequestration impacts on global climate change and food security. Science 304, 1623–1627 (2004).CAS 
Article 

Google Scholar 
3.Buringh, P. in The role of terrestrial vegetation in the global carbon cycle: Measurement by remote sensing, 91–109 (Wiley, 1984).4.Hiederer, R. & Köchy, M. Global soil organic carbon estimates and the harmonized world soil database. EUR 79, 25225 (2011).
Google Scholar 
5.Smith, P. et al. Global change pressures on soils from land use and management. Glob. Chang. Biol. 22, 1008–1028 (2016).Article 

Google Scholar 
6.Schlesinger, W. H. The Role of Terrestrial Vegetation in the Global Carbon Cycle: Measurement by Remote Sensing (Wiley, 1984).7.Conant, R. T., Cerri, C. E., Osborne, B. B. & Paustian, K. Grassland management impacts on soil carbon stocks: a new synthesis. Ecol. Appl. 27, 662–668 (2017).Article 

Google Scholar 
8.Köchy, M., Hiederer, R. & Freibauer, A. Global distribution of soil organic carbon–Part 1: masses and frequency distributions of SOC stocks for the tropics, permafrost regions, wetlands, and the world. Soil 1, 351–365 (2015).Article 
CAS 

Google Scholar 
9.Nahlik, A. M. & Fennessy, M. S. Carbon storage in US wetlands. Nat. Commun. 7, 1–9 (2016).Article 
CAS 

Google Scholar 
10.Dixon, R. K. et al. Carbon pools and flux of global forest ecosystems. Science 263, 185–190 (1994).CAS 
Article 

Google Scholar 
11.Atwood, T. B. et al. Global patterns in mangrove soil carbon stocks and losses. Nat. Clim. Chang. 7, 523–528 (2017).CAS 
Article 

Google Scholar 
12.Maclean, J. L., Dawe, D. C., Hardy, B. & Hettel, G. P. Rice Almanac: Source book for the most important economic activity on earth, 3rd edn. (CABI Publishing, 2002).13.Kögel-Knabner, I. et al. Biogeochemistry of paddy soils. Geoderma 157, 1–14 (2010).Article 
CAS 

Google Scholar 
14.Wu, J. Carbon accumulation in paddy ecosystems in subtropical China: evidence from landscape studies. Eur. J. Soil Sci. 62, 29–34 (2011).CAS 
Article 

Google Scholar 
15.Carlson, K. M. et al. Greenhouse gas emissions intensity of global croplands. Nat. Clim. Chang. 7, 63–68 (2017).CAS 
Article 

Google Scholar 
16.FAO (Food and Agriculture Organization of the United Nations). FAOSTAT: FAO Statistical Databases. http://faostat.fao.org/default.aspx (2018).17.Gattinger, A. et al. Enhanced top soil carbon stocks under organic farming. Proc. Natl Acad. Sci. USA 109, 18226–18231 (2012).CAS 
Article 

Google Scholar 
18.Xie, Z. et al. Soil organic carbon stocks in China and changes from 1980s to 2000s. Glob. Chang. Biol. 13, 1989–2007 (2007).Article 

Google Scholar 
19.Qin, Z., Huang, Y. & Zhuang, Q. Soil organic carbon sequestration potential of cropland in China. Glob. Biogeochem. Cycles 27, 711–722 (2013).CAS 
Article 

Google Scholar 
20.Jobbágy, E. G. & Jackson, R. B. The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecol. Appl. 10, 423–436 (2000).Article 

Google Scholar 
21.Haefele, S. M., Nelson, A. & Hijmans, R. J. Soil quality and constraints in global rice production. Geoderma 235, 250–259 (2014).Article 
CAS 

Google Scholar 
22.Pan, G., Li, L., Wu, L. & Zhang, X. Storage and sequestration potential of topsoil organic carbon in China’s paddy soils. Glob. Chang. Biol. 10, 79–92 (2004).Article 

Google Scholar 
23.Wei, L. et al. Comparing carbon and nitrogen stocks in paddy and upland soils: Accumulation, stabilization mechanisms, and environmental drivers. Geoderma 398, 115121 (2021).Article 

Google Scholar 
24.Wang, P. et al. Long-term rice cultivation stabilizes soil organic carbon and promotes soil microbial activity in a salt marsh derived soil chronosequence. Sci. Rep. 5, 15704 (2015).CAS 
Article 

Google Scholar 
25.Li, Y. et al. Oxygen availability determines key regulators in soil organic carbon mineralisation in paddy soils. Soil Biol. Biochem. 153, 108106 (2021).CAS 
Article 

Google Scholar 
26.Evans, C. D. et al. Acidity controls on dissolved organic carbon mobility in organic soils. Glob. Chang. Biol. 18, 3317–3331 (2012).Article 

Google Scholar 
27.Liu, Y. et al. Impact of prolonged rice cultivation on coupling relationship among C, Fe, and Fe-reducing bacteria over a 1000-year paddy soil chronosequence. Biol. Fertil. Soils 55, 589–602 (2019).CAS 
Article 

Google Scholar 
28.Sinsabaugh, R. L. et al. Stoichiometry of soil enzyme activity at global scale. Ecol. Lett. 11, 1252–1264 (2008).Article 

Google Scholar 
29.Liu, Y. et al. Microbial activity promoted with organic carbon accumulation in macroaggregates of paddy soils under long-term rice cultivation. Biogeosciences 13, 6565–6586 (2016).CAS 
Article 

Google Scholar 
30.Liu, Y. et al. Methanogenic abundance and changes in community structure along a rice soil chronosequence from east China. Eur. J. Soil Sci. 67, 443–455 (2016).CAS 
Article 

Google Scholar 
31.Malik, A. A. et al. Land use driven change in soil pH affects microbial carbon cycling processes. Nat. Commun. 9, 1–10 (2018).CAS 
Article 

Google Scholar 
32.Don, A., Schumacher, J. & Freibauer, A. Impact of tropical land‐use change on soil organic carbon stocks-a meta‐analysis. Glob. Chang. Biol. 17, 1658–1670 (2011).Article 

Google Scholar 
33.Piao, S. et al. The carbon balance of terrestrial ecosystems in China. Nature 458, 1009–1013 (2009).CAS 
Article 

Google Scholar 
34.Davidson, E. A. & Janssens, I. A. Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature 440, 165–173 (2006).CAS 
Article 

Google Scholar 
35.Kirk, G. The Biogeochemistry of Submerged Soils (Wiley, 2004).36.Kramer, M. G., Sanderman, J., Chadwick, O. A., Chorover, J. & Vitousek, P. M. Long‐term carbon storage through retention of dissolved aromatic acids by reactive particles in soil. Glob. Chang. Biol. 18, 2594–2605 (2012).Article 

Google Scholar 
37.Scharpenseel, H. W., Pfeiffer, E. M. & Becker-Heidmann, P. in Advances in Soil Science (eds. Carter, MR, Stewart, BA) (Lewis Publishers, 1996).38.Liao, Q. et al. Increase in soil organic carbon stock over the last two decades in China’s Jiangsu Province. Glob. Chang. Biol. 15, 861–875 (2009).Article 

Google Scholar 
39.Keiluweit, M., Wanzek, T., Kleber, M., Nico, P. & Fendorf, S. Anaerobic microsites have an unaccounted role in soil carbon stabilization. Nat. Commun. 8, 1–10 (2017).CAS 
Article 

Google Scholar 
40.Ghimire, R., Lamichhane, S., Acharya, B. S., Bista, P. & Sainju, U. M. Tillage, crop residue, and nutrient management effects on soil organic carbon in rice-based cropping systems: a review. J. Integr. Agric. 16, 1–15 (2017).Article 

Google Scholar 
41.Maillard, É. & Angers, D. A. Animal manure application and soil organic carbon stocks: a meta‐analysis. Glob. Chang. Biol. 20, 666–679 (2014).Article 

Google Scholar 
42.Tian, K. et al. Effects of long-term fertilization and residue management on soil organic carbon changes in paddy soils of China: a meta-analysis. Agric. Ecosyst. Environ. 204, 40–50 (2015).CAS 
Article 

Google Scholar 
43.Liu, Y. et al. Initial utilization of rhizodeposits with rice growth in paddy soils: rhizosphere and N fertilization effects. Geoderma 338, 30–39 (2019).CAS 
Article 

Google Scholar 
44.Chen, J. et al. A keystone microbial enzyme for nitrogen control of soil carbon storage. Sci. Adv. 4, eaaq1689 (2018).CAS 
Article 

Google Scholar 
45.Zhu, Z. et al. Rice rhizodeposits affect organic matter decomposition in paddy soil: the role of N fertilization and rice growth for enzyme activities, CO2 and CH4 emissions. Soil Biol. Biochem. 116, 369–377 (2018).CAS 
Article 

Google Scholar 
46.Moorhead, D. L. & Sinsabaugh, R. L. A theoretical model of litter decay and microbial interaction. Ecol. Monogr. 76, 151–174 (2006).Article 

Google Scholar 
47.Li, X. et al. Nitrogen fertilization decreases the decomposition of soil organic matter and plant residues in planted soils. Soil Biol. Biochem. 112, 47–55 (2017).CAS 
Article 

Google Scholar 
48.Cui, J. et al. Carbon and nitrogen recycling from microbial necromass to cope with C:N stoichiometric imbalance by priming. Soil Biol. Biochem. 142, 107720 (2020).CAS 
Article 

Google Scholar 
49.Geisseler, D., Linquist, B. A. & Lazicki, P. A. Effect of fertilization on soil microorganisms in paddy rice systems—a meta-analysis. Soil Biol. Biochem. 115, 452–460 (2017).CAS 
Article 

Google Scholar 
50.Sun, W. et al. Climate drives global soil carbon sequestration and crop yield changes under conservation agriculture. Glob. Chang. Biol. 26, 3325–3335 (2020).Article 

Google Scholar 
51.Wissing, L. et al. Management-induced organic carbon accumulation in paddy soils: the role of organo-mineral associations. Soil Tillage Res. 126, 60–71 (2013).Article 

Google Scholar 
52.Baker, J. M., Ochsner, T. E., Venterea, R. T. & Griffis, T. J. Tillage and soil carbon sequestration—-what do we really know? Agric. Ecosyst. Environ. 118, 1–5 (2007).CAS 
Article 

Google Scholar 
53.Lal, R. Challenges and opportunities in soil organic matter research. Eur. J. Soil Sci. 60, 158–169 (2009).CAS 
Article 

Google Scholar 
54.Lal, R. Soil carbon sequestration in India. Clim. Change 65, 277–296 (2004).CAS 
Article 

Google Scholar 
55.Liu, Y. et al. Carbon input and allocation by rice into paddy soils: a review. Soil Biol. Biochem. 133, 97–107 (2019).CAS 
Article 

Google Scholar 
56.Zhao, Y. et al. Economics-and policy-driven organic carbon input enhancement dominates soil organic carbon accumulation in Chinese croplands. Proc. Natl Acad. Sci. USA 115, 4045–4050 (2018).CAS 
Article 

Google Scholar 
57.Wei, X., Zhu, Z., Wei, L., Wu, J. & Ge, T. Biogeochemical cycles of key elements in the paddy-rice rhizosphere: microbial mechanisms and coupling processes. Rhizosphere 10, 100145 (2019).Article 

Google Scholar 
58.Alexandratos, N. & Bruinsma, J. World agriculture towards 2030/2050: the 2012 revision. https://doi.org/10.22004/ag.econ.288998. (2012).59.Rui, W. & Zhang, W. Effect size and duration of recommended management practices on carbon sequestration in paddy field in Yangtze Delta Plain of China: a meta-analysis. Agric. Ecosyst. Environ. 135, 199–205 (2010).CAS 
Article 

Google Scholar 
60.Song, K. et al. Wetland degradation: its driving forces and environmental impacts in the Sanjiang Plain, China. Environ. Manage. 54, 255–271 (2014).Article 

Google Scholar 
61.Dong, J. et al. Northward expansion of paddy rice in northeastern Asia during 2000–2014. Geophys. Res. Lett. 43, 3754–3761 (2016).CAS 
Article 

Google Scholar 
62.Chaturvedi, V. et al. Climate mitigation policy implications for global irrigation water demand. Mitig. Adapt. Strat. Glob. Chang. 20, 389–407 (2015).Article 

Google Scholar 
63.Gathorne-Hardy, A. A life cycle assessment (LCA) of greenhouse gas emissions from SRI and flooded rice production in SE India. Taiwan Water Conserv. J. 61, 111–125 (2013).
Google Scholar 
64.Linquist, B., Van Groenigen, K. J., Adviento‐Borbe, M. A., Pittelkow, C. & Van Kessel, C. An agronomic assessment of greenhouse gas emissions from major cereal crops. Glob. Chang. Biol. 18, 194–209 (2012).Article 

Google Scholar 
65.IPCC. in Contribution of working group II to the fifth assessment report of the Intergovernmental Panel on Climate Change. (eds. Field, C. B. et al) (Cambridge University Press, 2014).66.Xie, Z. et al. CO2 mitigation potential in farmland of China by altering current organic matter amendment pattern. Sci. China Earth Sci. 53, 1351–1357 (2010).CAS 
Article 

Google Scholar 
67.Yan, X. et al. Carbon sequestration efficiency in paddy soil and upland soil under long-term fertilization in southern China. Soil Tillage Res. 130, 42–51 (2013).Article 

Google Scholar 
68.Shang, Q. et al. Net annual global warming potential and greenhouse gas intensity in Chinese double rice‐cropping systems: a 3‐year field measurement in long‐term fertilizer experiments. Glob. Chang. Biol. 17, 2196–2210 (2011).Article 

Google Scholar 
69.Ma, Y. et al. Net global warming potential and greenhouse gas intensity of annual rice–wheat rotations with integrated soil–crop system management. Agric. Ecosyst. Environ. 164, 209–219 (2013).Article 

Google Scholar 
70.Xiong, Z. et al. Differences in net global warming potential and greenhouse gas intensity between major rice-based cropping systems in China. Sci. Rep. 5, 1–9 (2015).CAS 

Google Scholar 
71.Jiang, Y. et al. Acclimation of methane emissions from rice paddy fields to straw addition. Sci. Adv. 5, eaau9038 (2019).Article 
CAS 

Google Scholar 
72.Liu, C., Lu, M., Cui, J., Li, B. & Fang, C. Effects of straw carbon input on carbon dynamics in agricultural soils: a meta‐analysis. Glob. Chang. Biol. 20, 1366–1381 (2014).Article 

Google Scholar 
73.Shakoor, A. et al. A global meta-analysis of greenhouse gases emission and crop yield under no-tillage as compared to conventional tillage. Sci. Total Environ. 750, 142299 (2021).CAS 
Article 

Google Scholar 
74.Zhao, X. et al. Methane and nitrous oxide emissions under no‐till farming in China: a meta‐analysis. Glob. Chang. Biol. 22, 1372–1384 (2016).Article 

Google Scholar 
75.Kim, S. Y., Gutierrez, J. & Kim, P. J. Unexpected stimulation of CH4 emissions under continuous no-tillage system in mono-rice paddy soils during cultivation. Geoderma 267, 34–40 (2016).CAS 
Article 

Google Scholar 
76.Ball, B. C., Scott, A. & Parker, J. P. Field N2O, CO2 and CH4 fluxes in relation to tillage, compaction and soil quality in Scotland. Soil Tillage Res. 53, 29–39 (1999).Article 

Google Scholar 
77.Linquist, B. A., Adviento-Borbe, M. A., Pittelkow, C. M., van Kessel, C. & van Groenigen, K. J. Fertilizer management practices and greenhouse gas emissions from rice systems: a quantitative review and analysis. Field Crop. Res. 135, 10–21 (2012).Article 

Google Scholar 
78.Schlesinger, W. H. Carbon sequestration in soils: some cautions amidst optimism. Agric. Ecosyst. Environ. 82, 121–127 (2000).CAS 
Article 

Google Scholar 
79.Choudhury, A. T. M. A. & Kennedy, I. R. Nitrogen fertilizer losses from rice soils and control of environmental pollution problems. Commun. Soil Sci. Plan. 36, 1625–1639 (2005).CAS 
Article 

Google Scholar 
80.Jiang, Y. et al. Water management to mitigate the global warming potential of rice systems: a global meta-analysis. Field Crop. Res. 234, 47–54 (2019).Article 

Google Scholar 
81.Suryavanshi, P., Singh, Y. V., Prasanna, R., Bhatia, A. & Shivay, Y. S. Pattern of methane emission and water productivity under different methods of rice crop establishment. Paddy Water Environ. 11, 321–329 (2013).Article 

Google Scholar 
82.Yan, X., Akiyama, H., Yagi, K. & Akimoto, H. Global estimations of the inventory and mitigation potential of methane emissions from rice cultivation conducted using the 2006 Intergovernmental Panel on Climate Change Guidelines. Glob. Biogeochem. Cycles https://doi.org/10.1029/2008GB003299 (2009).83.Jiang, Y. et al. Higher yields and lower methane emissions with new rice cultivars. Glob. Chang. Biol. 23, 4728–4738 (2017).Article 

Google Scholar 
84.Li, C. et al. Modeling greenhouse gas emissions from rice-based production systems: sensitivity and upscaling. Glob. Biogeochem. Cycles https://doi.org/10.1029/2003GB002045 (2004).85.Yin, S. et al. Carbon sequestration and emissions mitigation in paddy fields based on the DNDC model: a review. Artif. Intell. Agric. 4, 140–149 (2020).
Google Scholar 
86.FAO, IIASA, ISRIC, ISSCAS, and JRC: Harmonized World Soil Database (version 1.2), Tech. Rep., FAO, Rome, Italy and IIASA, Laxenburg, Austria (2012).87.Allison, L. in Organic carbon. Methods of Soil Analysis: Part 2 Chemical and Microbiological Properties, (ed. A.g. Norman). (American Society of Agronomy, 1965).88.Fang, C. & Moncrieff, J. B. The variation of soil microbial respiration with depth in relation to soil carbon composition. Plant Soil 268, 243–253 (2005).CAS 
Article 

Google Scholar 
89.Yan, X., Cai, Z., Wang, S. & Smith, P. Direct measurement of soil organic carbon content change in the croplands of China. Glob. Chang. Biol. 17, 1487–1496 (2011).Article 

Google Scholar 
90.Rosenberg, M. S., Adams, D. C. & Gurevitch, J. MetaWin 2.0: statistical software for meta-analysis (Sinauer, 2000).91.Yue, Q. et al. Deriving emission factors and estimating direct nitrous oxide emissions for crop cultivation in China. Environ. Sci. Technol. 53, 10246–10257 (2019).CAS 
Article 

Google Scholar 
92.Hedges, L. V., Gurevitch, J. & Curtis, P. S. The meta‐analysis of response ratios in experimental ecology. Ecology 80, 1150–1156 (1999).Article 

Google Scholar 
93.Adams, D. C., Gurevitch, J. & Rosenberg, M. S. Resampling tests for meta‐analysis of ecological data. Ecology 78, 1277–1283 (1997).Article 

Google Scholar 
94.Van Groenigen, K. J., Osenberg, C. W. & Hungate, B. A. Increased soil emissions of potent greenhouse gases under increased atmospheric CO2. Nature 475, 214–216 (2011).Article 
CAS 

Google Scholar  More

1.Ghosh, S. K., Podder, D., Panja, S., & Mukherjee, S. In target areas where human mosquito-borne diseases are diagnosed, the inclusion of the pre-adult mosquito aquatic niches parameters will improve the integrated mosquito control program. PLos Neg. Trop. Dis. 14(8), e0008605 (2020).Article 

Google Scholar 
2.Becker, B. N. et al. Mosquitoes and Their Control 499 (Springer, 2010).Book 

Google Scholar 
3.Hyde, K. D. et al. The amazing potential of fungi: 50 ways we can exploit fungi industrially. Fungal Divers. 97, 1–136 (2019).Article 

Google Scholar 
4.Clark, T. B., Kellen, W. R., Fukuda, T. & Lindegren, J. E. Field and laboratory studies on the pathogenicity of the fungus Beauveria bassiana to three genera of mosquitoes. J. Invertebr. Pathol. 11(1), 1–7 (1968).PubMed 
Article 
PubMed Central 

Google Scholar 
5.Scholte, E. J., Knols, B. G. & Takken, W. Infection of the malaria mosquito Anopheles gambiae with the entomopathogenic fungus Metarhizium anisopliae reduces blood feeding and fecundity. J. Invertebr. Pathol. 91(1), 43–49 (2006).PubMed 
Article 
PubMed Central 

Google Scholar 
6.Bukhari, T., Takken, W. & Koenraadt, C. J. Development of Metarhizium anisopliae and Beauveria bassiana formulations for control of malaria mosquito larvae. Parasit. Vectors 4(1), 23 (2011).PubMed 
PubMed Central 
Article 

Google Scholar 
7.Mukherjee, A., Debnath, P., Ghosh, S. K. & Medda, P. K. Biological control of papaya aphid (Aphis gossypii Glover) using entomopathogenic fungi. Vegetos 33, 1–10 (2020).Article 

Google Scholar 
8.Fernández-Grandon, G. M., Harte, S. J., Ewany, J., Bray, D. & Stevenson, P. C. Additive effect of botanical insecticide and entomopathogenic fungi on pest mortality and the behavioral response of its natural enemy. Plants 9, 173 (2020).PubMed Central 
Article 
CAS 

Google Scholar 
9.Sobczak, J. F. et al. Manipulation of wasp (Hymenoptera: Vespidae) behavior by the entomopathogenic fungus Ophiocordyceps humbertii in the Atlantic forest in Ceará, Brazil. Entomol. News 129, 98–104 (2020).Article 

Google Scholar 
10.Ghosh, S. K. & Pal, S. Entomopathogenic potential of Trichoderma longibrachiatum and its comparative evaluation with malathion against the insect pest Leucinodes orbonalis. Environ. Monit. Assess. 188(1), 37 (2016).PubMed 
Article 
CAS 
PubMed Central 

Google Scholar 
11.Podder, D. & Ghosh, S. K. A new application of Trichoderma asperellum as an anopheline larvicide for eco friendly management in medical science. Sci. Reps. 9(1), 1108 (2019).ADS 
Article 
CAS 

Google Scholar 
12.Jones, E. B. G. Fungal adhesion. Mycol. Res. 98(9), 961–981 (1994).Article 

Google Scholar 
13.Shah, P. A. & Pell, J. K. Entomopathogenic fungi as biological control agents. Appl. Microbiol. Biotechnol. 61, 413–423 (2003).CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
14.Rudall, K. M. The chitin/protein complexes of insect cuticles. Adv. Insect Physiol. 1, 257–313 (1963).ADS 
CAS 
Article 

Google Scholar 
15.Shah, F. A., Wang, C. S. & Butt, T. M. Nutrition influences growth and virulence of the insect-pathogenic fungus Metarhizium anisopliae. FEMS Microbiol. Lett. 251(2), 259–266 (2005).CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
16.Jackson, M. A., Dunlap, C. A. & Jaronski, S. T. Ecological considerations in producing and formulating fungal entomopathogens for use in insect biocontrol. Biocontrol 55(1), 129–145 (2010).Article 

Google Scholar 
17.Vega, F.E.; Meyling, N., Luangsa-ard, J.& Blackwell, M. Fungal entomopathogens. In: edit Vega, F. and Kaya, H. A. Insect pathology, 2nd edn , San Diego, CA, Academic Press, pp 171–220 (2012).18.Gaugler, R. Entomopathogenic nematodes in biological control. CRC press (2018).19.McKinnon, A. C. et al. Detection of the entomopathogenic fungus Beauveria bassiana in the rhizosphere of wound-stressed zea mays plants. Front. Microbiol. 9, 1161 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
20.Zimmermann, G. Review on safety of the entomopathogenic fungus Metarhizium anisopliae. Biocontrol Sci. Technol. 17(9), 879–920 (2007).Article 

Google Scholar 
21.Hamer, J. E., Howard, R. J., Chumley, F. G. & Valent, B. A mechanism for surface attachment in spores of a plant pathogenic fungus. Science 239(4837), 288–290 (1988).ADS 
CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
22.Dhawan, M. & Joshi, N. (Enzymatic comparison and mortality of Beauveria bassiana against cabbage caterpillar Pieris brassicae LINN. Braz. J. Microbiol. 48(3), 522–529 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
23.Mora, M. A. E., Castilho, A. M. C. & Fraga, M. E. Classification and infection mechanism of entomopathogenic fungi. Arq. Inst. Biol. 84, 0552015 (2017).
Google Scholar 
24.Li, J., Tracy, J. W. & Christensen, B. M. Phenol oxidase activity in hemolymph compartments of Aedes aegypti during melanotic encapsulation reactions against microfilariae. Dev. Comp. Immunol. 16(1), 41–48 (1992).CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
25.Hillyer, J. F. & Strand, M. R. Mosquito hemocyte-mediated immune responses. Curr. Opin. Insect Sci. 3, 14–21 (2014).PubMed 
PubMed Central 
Article 

Google Scholar 
26.Nanda, K. P. Chronic lead (Pb) exposure results in diminished hemocyte count and increased susceptibility to bacterial infection in Drosophila melanogaster. Chemosphere 236, 124349 (2019).ADS 
CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
27.Ghosh, S. K., Chatterjee, T., Chakravarty, A. & Basak, A. K. Sodium and potassium nitrite-induced developmental genotoxicity in Drosophila melanogaster—effects in larval immune and brain stem cells. Interdiscip. Toxicol. 13(4), 101–105 (2020).
Google Scholar 
28.Chatterjee, T., Ghosh, S. K., Paik, S., Chakravarty, A. & Basak, A. K. Benzoic acid treated Drosophila melanogaster the genetic disruption of larval brain stem cells and non-neural cells during metamorphosis. Toxicol. Environ. Health Sci. https://doi.org/10.1007/s13530-021-00082-w (2021).Article 

Google Scholar 
29.Campos, R. A. Boophilus microplus infection by Beauveria amorpha and Beauveria bassiana: SEM analysis and regulation of subtilisin-like proteases and chitinases. Curr. Microbiol. 50(5), 257–261 (2005).CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
30.McFarlane, H. E., Gendre, D. & Western, T. L. Seed coat ruthenium red staining assay. Bio-Protoc. 4, 1096 (2014).Article 

Google Scholar 
31.Bhosale, R. R., Osmani, R. A. M. & Moin, A. Natural gums and mucilages: A review on multifaceted excipients in pharmaceutical science and research. Int. J. Res. Phytochem. Pharmacol 6(4), 901–912 (2014).
Google Scholar 
32.Shah, F. A., Allen, N., Wright, C. J. & Butt, T. M. Repeated in vitro subculturing alters spore surface properties and virulence of Metarhizium anisopliae. FEMS Microbiol. Lett. 276(1), 60–66 (2007).CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
33.Hsu, S. C. & Lockwood, J. L. Powdered chitin agar as a selective medium for enumeration of actinomycetes in water and soil. Appl. Environ. Microbiol. 29(3), 422–426 (1975).CAS 
Article 

Google Scholar 
34.Parida, D., Jena, S. K. & Rath, C. C. Enzyme activities of bacterial isolates from iron mine areas of Barbil, Keonjhar district, Odisha, India. Int. J. Pure Appl. Biosci. 2(3), 265–271 (2014).
Google Scholar 
35.Kasana, R. C., Salwan, R., Dhar, H., Dutt, S. & Gulati, A. A rapid and easy method for the detection of microbial cellulases on agar plates using Gram’s iodine. Curr. Microbiol. 57(5), 503–507 (2008).CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
36.Medina, P. & Baresi, L. Rapid identification of gelatin and casein hydrolysis using TCA. J. Microbiol. Methods 69(2), 391–393 (2007).CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
37.Al-Nahdi, H. S. Isolation and screening of extracellular proteases produced by new isolated Bacillus sp. J. Appl. Pharm. Sci. 2(9), 71–74 (2012).CAS 

Google Scholar 
38.Murthy, N. K. & Bleakley, B. H. Simplified method of preparing colloidal chitin used for screening of chitinase-producing microorganisms. Int. J. Microbiol. 10(2), 1937–8289 (2012).
Google Scholar 
39.Park, S. H., Lee, J. H. & Lee, H. K. Purification and characterization of chitinase from a marine bacterium, Vibrio sp. 98CJ11027. J. Microbiol 38, 224–229 (2000).CAS 

Google Scholar 
40.Roberts, W. K. & Selitrennikoff, C. P. Plant and bacterial chitinases differ in antifungal activity. Microbiology 134(1), 169–176 (1986).Article 

Google Scholar 
41.Tsuchida, O. et al. An alkaline proteinase of an alkalophilic Bacillus sp. Curr. Microbiol. 14(1), 7–12 (1986).CAS 
Article 

Google Scholar 
42.Crowell, A. M., Wall, M. J. & Doucette, A. A Maximizing recovery of water-soluble proteins through acetone precipitation. Anal. Chim. Acta. 796, 48–54 (2013).CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
43.He, F. BCA (Bicinchoninic Acid) protein assay. Bio Protocol 1(5), 44 (2011).Article 

Google Scholar 
44.Sierra, L.M., Carmona, E.R., Aguado, L. & Marcos, R. The comet assay in Drosophila: neuroblast and hemocyte cells. In Genotoxicity and DNA Repair. Methods in Pharmacology and Toxicology. Humana Press, New York, NY. 269–82 (2014).45.Xu, T. et al. (2012) HMGB in mollusk Crassostrea ariakensis Gould: structure, pro-inflammatory cytokine function characterization and anti-infection role of its antibody. PLoS ONE 7(11), e50789 (2012).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
46.Basak, A. K., Chatterjee, T., Chakravarty, A. & Ghosh, S. K. Silver nanoparticle-induced developmental inhibition of Drosophila melanogaster accompanies disruption of genetic material of larval neural stem cells and non-neuronal cells. Environ. Monit. Assess. 191(8), 497 (2019).PubMed 
Article 
CAS 
PubMed Central 

Google Scholar  More

1.McFall-Ngai, M. et al. Animals in a bacterial world: a new imperative for the life sciences. Proc. Natl Acad. Sci. 110, 3229–3236 (2013).CAS 
Article 

Google Scholar 
2.Pita, L., Rix, L., Slaby, B. M., Franke, A. & Hentschel, U. The sponge holobiont in a changing ocean: from microbes to ecosystems. Microbiome 6, 46 (2018).CAS 
Article 

Google Scholar 
3.Caruso, R., Lo, B. C. & Núñez, G. Host–microbiota interactions in inflammatory bowel disease. Nat. Rev. Immunol. 20, 411–426 (2020).CAS 
Article 

Google Scholar 
4.Hughes, T. P. et al. Spatial and temporal patterns of mass bleaching of corals in the Anthropocene. Science 359, 80–83 (2018).CAS 
Article 

Google Scholar 
5.Scheele, B. C. et al. Amphibian fungal panzootic causes catastrophic and ongoing loss of biodiversity. Science 363, 1459–1463 (2019).CAS 
Article 

Google Scholar 
6.Bell, J. J., Bennett, H. M., Rovellini, A. & Webster, N. S. Sponges to be winners under near-future climate scenarios. BioScience 68, 955–968 (2018).Article 

Google Scholar 
7.Bosch, T. C. G., Guillemin, K. & McFall-Ngai, M. Evolutionary “experiments” in symbiosis: the study of model animals provides insights into the mechanisms underlying the diversity of host–microbe interactions. Bioessays 41, e1800256 (2019).8.Nyholm, S. V. & McFall-Ngai, M. J. A lasting symbiosis: how the Hawaiian bobtail squid finds and keeps its bioluminescent bacterial partner. Nat. Rev. Microbiol. https://doi.org/10.1038/s41579-021-00567-y (2021).Article 
PubMed 

Google Scholar 
9.Visick, K. L., Stabb, E. V. & Ruby, E. G. A lasting symbiosis: how Vibrio fischeri finds a squid partner and persists within its natural host. Nat. Rev. Microbiol. https://doi.org/10.1038/s41579-021-00557-0 (2021).Article 
PubMed 

Google Scholar 
10.Peixoto, R. S. et al. Coral probiotics: premise, promise, prospects. Annu. Rev. Anim. Biosci. 9, 265–288 (2021).Article 

Google Scholar  More

1.Serebrovsky, A. S. On the possibility of a new method for the control of insect pests. Zool. Zh. 19, 618–630 (1940).
Google Scholar 
2.Curtis, C. F. Possible use of translocations to fix desirable genes in insect pest populations. Nature 218, 368–369 (1968). This paper is one of the first to describe how reciprocal chromosomal translocations could be used to drive a favoured linked trait in a threshold-dependent fashion.CAS 
PubMed 
Article 

Google Scholar 
3.Dawkins, R. The Selfish Gene Vol. 345 (Oxford University Press, 1976).4.Bastide, H. et al. Rapid rise and fall of selfish sex-ratio X chromosomes in Drosophila simulans: spatiotemporal analysis of phenotypic and molecular data. Mol. Biol. Evol. 28, 2461–2470 (2011).CAS 
PubMed 
Article 

Google Scholar 
5.Corbett-Detig, R., Medina, P., Frerot, H., Blassiau, C. & Castric, V. Bulk pollen sequencing reveals rapid evolution of segregation distortion in the male germline of Arabidopsis hybrids. Evol. Lett. 3, 93–103 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
6.Kingan, S. B., Garrigan, D. & Hartl, D. L. Recurrent selection on the Winters sex-ratio genes in Drosophila simulans. Genetics 184, 253–265 (2010).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
7.McLaughlin, R. N. Jr. & Malik, H. S. Genetic conflicts: the usual suspects and beyond. J. Exp. Biol. 220, 6–17 (2017).PubMed 
PubMed Central 
Article 

Google Scholar 
8.Presgraves, D. C., Gerard, P. R., Cherukuri, A. & Lyttle, T. W. Large-scale selective sweep among segregation distorter chromosomes in African populations of Drosophila melanogaster. PLoS Genet. 5, e1000463 (2009).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
9.Seymour, D. K., Chae, E., Arioz, B. I., Koenig, D. & Weigel, D. Transmission ratio distortion is frequent in Arabidopsis thaliana controlled crosses. Heredity 122, 294–304 (2019).CAS 
PubMed 
Article 

Google Scholar 
10.Courret, C., Chang, C. H., Wei, K. H., Montchamp-Moreau, C. & Larracuente, A. M. Meiotic drive mechanisms: lessons from Drosophila. Proc. Biol. Sci. 286, 20191430 (2019).CAS 
PubMed 
PubMed Central 

Google Scholar 
11.Kusano, A., Staber, C., Chan, H. Y. & Ganetzky, B. Closing the (Ran)GAP on segregation distortion in Drosophila. Bioessays 25, 108–115 (2003).CAS 
PubMed 
Article 

Google Scholar 
12.Merel, V., Boulesteix, M., Fablet, M. & Vieira, C. Transposable elements in Drosophila. Mob. DNA 11, 23 (2020).PubMed 
PubMed Central 
Article 

Google Scholar 
13.Boulesteix, M. & Biemont, C. Transposable elements in mosquitoes. Cytogenet. Genome Res. 110, 500–509 (2005).CAS 
PubMed 
Article 

Google Scholar 
14.Lee, Y. C. & Langley, C. H. Transposable elements in natural populations of Drosophila melanogaster. Philos. Trans. R. Soc. Lond. B Biol. Sci. 365, 1219–1228 (2010).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
15.Kelleher, E. S. Reexamining the P-element invasion of Drosophila melanogaster through the lens of piRNA silencing. Genetics 203, 1513–1531 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
16.Majumdar, S. & Rio, D. C. P transposable elements in drosophila and other eukaryotic organisms. Microbiol. Spectr. 3, MDNA3–0004-2014 (2015).PubMed 
PubMed Central 

Google Scholar 
17.Burns, K. H. & Boeke, J. D. Human transposon tectonics. Cell 149, 740–752 (2012).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
18.Doring, H. P., Tillmann, E. & Starlinger, P. DNA sequence of the maize transposable element Dissociation. Nature 307, 127–130 (1984).CAS 
PubMed 
Article 

Google Scholar 
19.Wallau, G. L., Capy, P., Loreto, E. & Hua-Van, A. Genomic landscape and evolutionary dynamics of mariner transposable elements within the Drosophila genus. BMC Genomics 15, 727 (2014).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
20.Hawkins, J. S., Hu, G., Rapp, R. A., Grafenberg, J. L. & Wendel, J. F. Phylogenetic determination of the pace of transposable element proliferation in plants: copia and LINE-like elements in Gossypium. Genome 51, 11–18 (2008).CAS 
PubMed 
Article 

Google Scholar 
21.Biemont, C., Vieira, C., Borie, N. & Lepetit, D. Transposable elements and genome evolution: the case of Drosophila simulans. Genetica 107, 113–120 (1999).CAS 
PubMed 
Article 

Google Scholar 
22.Buchman, A. B., Ivy, T., Marshall, J. M., Akbari, O. S. & Hay, B. A. Engineered reciprocal chromosome translocations drive high threshold, reversible population replacement in drosophila. ACS Synth. Biol. 7, 1359–1370 (2018).CAS 
PubMed 
Article 

Google Scholar 
23.Akbari, O. S. et al. Novel synthetic Medea selfish genetic elements drive population replacement in Drosophila; a theoretical exploration of Medea-dependent population suppression. ACS Synth. Biol. 3, 915–928 (2014).CAS 
PubMed 
Article 

Google Scholar 
24.Buchman, A., Marshall, J. M., Ostrovski, D., Yang, T. & Akbari, O. S. Synthetically engineered Medea gene drive system in the worldwide crop pest Drosophila suzukii. Proc. Natl Acad. Sci. USA 115, 4725–4730 (2018).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
25.Champer, J., Zhao, J., Champer, S. E., Liu, J. & Messer, P. W. Population dynamics of underdominance gene drive systems in continuous space. ACS Synth. Biol. 9, 779–792 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
26.Chen, C. C. et al. EXO1 suppresses double-strand break induced homologous recombination between diverged sequences in mammalian cells. DNA Repair. 57, 98–106 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
27.Leftwich, P. T. et al. Recent advances in threshold-dependent gene drives for mosquitoes. Biochem. Soc. Trans. 46, 1203–1212 (2018).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
28.Raban, R. R., Marshall, J. M. & Akbari, O. S. Progress towards engineering gene drives for population control. J. Exp. Biol. 223 (Suppl. 1), jeb208181 (2020).PubMed 
PubMed Central 
Article 

Google Scholar 
29.Ward, C. M. et al. Medea selfish genetic elements as tools for altering traits of wild populations: a theoretical analysis. Evolution 65, 1149–1162 (2011).PubMed 
Article 

Google Scholar 
30.Oberhofer, G., Ivy, T. & Hay, B. A. Gene drive and resilience through renewal with next generation Cleave and Rescue selfish genetic elements. Proc. Natl Acad. Sci. USA 117, 9013–9021 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
31.Oberhofer, G., Ivy, T. & Hay, B. A. Cleave and Rescue, a novel selfish genetic element and general strategy for gene drive. Proc. Natl Acad. Sci. USA 116, 6250–6259 (2019).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
32.Champer, J. et al. A toxin-antidote CRISPR gene drive system for regional population modification. Nat. Commun. 11, 1082 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
33.Yen, P. S. & Failloux, A. B. A review: Wolbachia-based population replacement for mosquito control shares common points with genetically modified control approaches. Pathogens 9, 404 (2020).PubMed Central 
Article 
PubMed 

Google Scholar 
34.O’Neill, S. L. The use of wolbachia by the world mosquito program to interrupt transmission of aedes aegypti transmitted viruses. Adv. Exp. Med. Biol. 1062, 355–360 (2018).PubMed 
Article 
CAS 

Google Scholar 
35.Niang, E. H. A., Bassene, H., Fenollar, F. & Mediannikov, O. Biological control of mosquito-borne diseases: the potential of wolbachia-based interventions in an IVM framework. J. Trop. Med. 2018, 1470459 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
36.Chevalier, B. S. & Stoddard, B. L. Homing endonucleases: structural and functional insight into the catalysts of intron/intein mobility. Nucleic Acids Res. 29, 3757–3774 (2001).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
37.Macreadie, I. G., Scott, R. M., Zinn, A. R. & Butow, R. A. Transposition of an intron in yeast mitochondria requires a protein encoded by that intron. Cell 41, 395–402 (1985).CAS 
PubMed 
Article 

Google Scholar 
38.Rong, Y. S. & Golic, K. G. The homologous chromosome is an effective template for the repair of mitotic DNA double-strand breaks in Drosophila. Genetics 165, 1831–1842 (2003).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
39.Chan, Y. S., Huen, D. S., Glauert, R., Whiteway, E. & Russell, S. Optimising homing endonuclease gene drive performance in a semi-refractory species: the Drosophila melanogaster experience. PLoS ONE 8, e54130 (2013).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
40.Windbichler, N. et al. A synthetic homing endonuclease-based gene drive system in the human malaria mosquito. Nature 473, 212–215 (2011). This study is the first demonstration of nuclease-mediated gene drive in mosquitoes based on the homing endonuclease gene I-SceI.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
41.Carroll, D. Genome engineering with targetable nucleases. Annu. Rev. Biochem. 83, 409–439 (2014).CAS 
PubMed 
Article 

Google Scholar 
42.Barrangou, R. et al. CRISPR provides acquired resistance against viruses in prokaryotes. Science 315, 1709–1712 (2007).CAS 
Article 
PubMed 

Google Scholar 
43.Jinek, M. et al. A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science 337, 816–821 (2012). This foundational study developed the most widely used dual synthetic CRISPR system consisting of Cas9 endonuclease and gRNA components.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
44.Doudna, J. A., Sternberg, S. H. A Crack in Creation: Gene Editing and the Unthinkable Power to Control Evolution 281 (Houghton Mifflin Harcourt, 2017).45.Gantz, V. M. & Bier, E. The mutagenic chain reaction: a method for converting heterozygous to homozygous mutations. Science 348, 442–444 (2015). This study reported the first CRISPR-based gene drive in a metazoan organism (D. melanogaster) with a specialized germline.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
46.Gantz, V. M. et al. Highly efficient Cas9-mediated gene drive for population modification of the malaria vector mosquito Anopheles stephensi. Proc. Natl Acad. Sci. USA 112, E6736–E6743 (2015). This study describes the first efficient CRISPR-based gene drive system in mosquitoes, which carried a dual anti-malarial effector cassette.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
47.Hammond, A. et al. A CRISPR-Cas9 gene drive system targeting female reproduction in the malaria mosquito vector Anopheles gambiae. Nat. Biotechnol. 34, 78–83 (2016). This study describes the first efficient CRISPR-based suppression gene drive system in mosquitoes.CAS 
PubMed 
Article 

Google Scholar 
48.Kyrou, K. et al. A CRISPR-Cas9 gene drive targeting doublesex causes complete population suppression in caged Anopheles gambiae mosquitoes. Nat. Biotechnol. 36, 1062–1066 (2018). This study describes a highly efficient suppression gene drive system in mosquitoes targeting an invariant genome target site in the doublesex locus.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
49.Li, M. et al. Development of a confinable gene drive system in the human disease vector Aedes aegypti. eLife 9, e51701 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
50.Grunwald, H. A. et al. Super-Mendelian inheritance mediated by CRISPR-Cas9 in the female mouse germline. Nature 566, 105–109 (2019). This study provided the first proof-of-principle gene drive system in mammals, which selectively sustained drive via the female germline.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
51.DiCarlo, J. E., Chavez, A., Dietz, S. L., Esvelt, K. M. & Church, G. M. Safeguarding CRISPR-Cas9 gene drives in yeast. Nat. Biotechnol. 33, 1250–1255 (2015). This study demonstrated CRISPR-based gene conversion in diploid yeast, which could then be transmitted meiotically.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
52.Valderrama, J. A., Kulkarni, S. S., Nizet, V. & Bier, E. A bacterial gene-drive system efficiently edits and inactivates a high copy number antibiotic resistance locus. Nat. Commun. 10, 5726 (2019). This study generalizes the concept of gene drive to bacteria, where it is applied to efficiently reduce the frequency of antibiotic reistance.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
53.Esvelt, K. M., Smidler, A. L., Catteruccia, F. & Church, G. M. Concerning RNA-guided gene drives for the alteration of wild populations. eLife 3, e03401 (2014).PubMed 
PubMed Central 
Article 

Google Scholar 
54.Adolfi, A. et al. Efficient population modification gene-drive rescue system in the malaria mosquito Anopheles stephensi. Nat. Commun. 11, 5553 (2020). This study reports on the first recoded gene drive in mosquitoes that drove efficiently through both males and females based on the process of lethal/sterile mosaicism.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
55.Champer, J. et al. A CRISPR homing gene drive targeting a haplolethal gene removes resistance alleles and successfully spreads through a cage population. Proc. Natl Acad. Sci. USA 117, 24377–24383 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
56.Kandul, N. P., Liu, J., Bennett, J. B., Marshall, J. M. & Akbari, O. S. A confinable home-and-rescue gene drive for population modification. eLife 10, e65939 (2021).PubMed 
PubMed Central 
Article 

Google Scholar 
57.Terradas, G. et al. Inherently confinable split-drive systems in Drosophila. Nat. Commun. 12, 1480 (2021). This study further develops the strategy of inserting a recoded gene drive in genes essential for viability or reproduction in the context of split drive systems.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
58.Xu, X. S., Gantz, V. M., Siomava, N. & Bier, E. CRISPR/Cas9 and active genetics-based trans-species replacement of the endogenous Drosophila kni-L2 CRM reveals unexpected complexity. eLife 6, e30281 (2017).PubMed 
PubMed Central 
Article 

Google Scholar 
59.Lopez Del Amo, V. et al. A transcomplementing gene drive provides a flexible platform for laboratory investigation and potential field deployment. Nat. Commun. 11, 352 (2020). This study reports on the reconstitution of a full gene drive from split constituent parts.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
60.Guichard, A. et al. Efficient allelic-drive in Drosophila. Nat. Commun. 10, 1640 (2019). The study develops two allelic drive systems, copy-cutting and copy-grafting, to propagate favoured alleles of an essential gene.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
61.Kandul, N. P. et al. Assessment of a split homing based gene drive for efficient knockout of multiple genes. G3 10, 827–837 (2020).CAS 
PubMed 
Article 

Google Scholar 
62.Xu, X.-R. S. et al. Active-genetic neutralizing elements for halting or deleting gene-drives. Mol. Cell 80, 246–262 (2020). This study reports on two drive-neutralizing systems that either inactivate (e-CHACR) or delete and replace (ERACR) a gene drive.CAS 
PubMed 
Article 

Google Scholar 
63.Burt, A. Site-specific selfish genes as tools for the control and genetic engineering of natural populations. Proc. Biol. Sci. 270, 921–928 (2003). This seminal modelling study provides the theoretical underpinnings for the modern gene-drive field.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
64.North, A. R., Burt, A. & Godfray, H. C. J. Modelling the potential of genetic control of malaria mosquitoes at national scale. BMC Biol. 17, 26 (2019). This study provides a comprehensive analysis of the perfomance of suppressive gene drives following iterative releases across various topographies.PubMed 
PubMed Central 
Article 

Google Scholar 
65.North, A. R., Burt, A. & Godfray, H. C. J. Modelling the suppression of a malaria vector using a CRISPR-Cas9 gene drive to reduce female fertility. BMC Biol. 18, 98 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
66.Collins, C. M., Bonds, J. A. S., Quinlan, M. M. & Mumford, J. D. Effects of the removal or reduction in density of the malaria mosquito, Anopheles gambiae s.l., on interacting predators and competitors in local ecosystems. Med. Vet. Entomol. 33, 1–15 (2019).CAS 
PubMed 
Article 

Google Scholar 
67.James, A. A. Gene drive systems in mosquitoes: rules of the road. Trends Parasitol. 21, 64–67 (2005).CAS 
PubMed 
Article 

Google Scholar 
68.Gantz, V. M. & Bier, E. The dawn of active genetics. Bioessays 38, 50–63 (2016).PubMed 
Article 

Google Scholar 
69.Macias, V. M. & James, A. A. in Genetic Control of Malaria and Dengue (ed. Adelman, Z. N.) 423–444 (Elsevier Academic Press, 2015).70.Eckhoff, P. A., Wenger, E. A., Godfray, H. C. & Burt, A. Impact of mosquito gene drive on malaria elimination in a computational model with explicit spatial and temporal dynamics. Proc. Natl Acad. Sci. USA 114, E255–E264 (2017). This study provides a detailed analysis of drive parameters relevant to both suppression-based and modification-based drives and is the first to model a drive in the context of a two-dimensional environment.CAS 
PubMed 
Article 

Google Scholar 
71.Hammond, A. M. et al. The creation and selection of mutations resistant to a gene drive over multiple generations in the malaria mosquito. PLoS Genet. 13, e1007039 (2017).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
72.Joyce, E. F., Paul, A., Chen, K. E., Tanneti, N. & McKim, K. S. Multiple barriers to nonhomologous DNA end joining during meiosis in Drosophila. Genetics 191, 739–746 (2012).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
73.Bozas, A., Beumer, K. J., Trautman, J. K. & Carroll, D. Genetic analysis of zinc-finger nuclease-induced gene targeting in Drosophila. Genetics 182, 641–651 (2009).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
74.Do, A. T., Brooks, J. T., Le Neveu, M. K. & LaRocque, J. R. Double-strand break repair assays determine pathway choice and structure of gene conversion events in Drosophila melanogaster. G3 4, 425–432 (2014).PubMed 
Article 
CAS 

Google Scholar 
75.Wei, D. S. & Rong, Y. S. A genetic screen for DNA double-strand break repair mutations in Drosophila. Genetics 177, 63–77 (2007).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
76.Lin, C. C. & Potter, C. J. Non-Mendelian dominant maternal effects caused by CRISPR/Cas9 transgenic components in Drosophila melanogaster. G3 6, 3685–3691 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
77.Champer, J. et al. Novel CRISPR/Cas9 gene drive constructs reveal insights into mechanisms of resistance allele formation and drive efficiency in genetically diverse populations. PLoS Genet. 13, e1006796 (2017).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
78.Anopheles gambiae 1000 Genomes Consortiumet al. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 552, 96–100 (2017).Article 
CAS 

Google Scholar 
79.Deredec, A., Burt, A. & Godfray, H. C. The population genetics of using homing endonuclease genes in vector and pest management. Genetics 179, 2013–2026 (2008).PubMed 
PubMed Central 
Article 

Google Scholar 
80.Fasulo, B. et al. A fly model establishes distinct mechanisms for synthetic CRISPR/Cas9 sex distorters. PLoS Genet. 16, e1008647 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
81.Galizi, R. et al. A synthetic sex ratio distortion system for the control of the human malaria mosquito. Nat. Commun. 5, 3977 (2014).CAS 
PubMed 
Article 

Google Scholar 
82.Galizi, R. et al. A CRISPR-Cas9 sex-ratio distortion system for genetic control. Sci. Rep. 6, 31139 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
83.Turner, J. M. Meiotic sex chromosome inactivation. Development 134, 1823–1831 (2007).CAS 
PubMed 
Article 

Google Scholar 
84.Simoni, A. et al. A male-biased sex-distorter gene drive for the human malaria vector Anopheles gambiae. Nat. Biotechnol. 38, 1054–1060 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
85.Carballar-Lejarazu, R. & et al. Next-generation gene drive for population modification of the malaria vector mosquito, Anopheles gambiae.Proc. Natl Acad. Sci. USA 117, 22805–22814 (2020). This study describes a modification gene drive that propagates with high efficiency through both males and females.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
86.Pham, T. B. et al. Experimental population modification of the malaria vector mosquito, Anopheles stephensi. PLoS Genet. 15, e1008440 (2019).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
87.Dong, Y., Simoes, M. L. & Dimopoulos, G. Versatile transgenic multistage effector-gene combinations for Plasmodium falciparum suppression in Anopheles. Sci. Adv. 6, eaay5898 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
88.Dong, Y. et al. Engineered anopheles immunity to Plasmodium infection. PLoS Pathog. 7, e1002458 (2011).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
89.Isaacs, A. T. et al. Transgenic Anopheles stephensi coexpressing single-chain antibodies resist Plasmodium falciparum development. Proc. Natl Acad. Sci. USA 109, E1922–E1930 (2012). This study demonstrates 100% protection against parasite transmission in transgenic mosquitoes carrying a dual anti-parasite effector cassette.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
90.Haber, J. E. TOPping off meiosis. Mol. Cell 57, 577–581 (2015).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
91.Hammond, A. et al. Regulating the expression of gene drives is key to increasing their invasive potential and the mitigation of resistance. PLoS Genet. 17, e1009321 (2021).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
92.Lee, Y. et al. Genome-wide divergence among invasive populations of Aedes aegypti in California. BMC Genomics 20, 204 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
93.Callaway, E. Gene drives thwarted by emergence of resistant organisms. Nature 542, 15 (2017).CAS 
PubMed 
Article 

Google Scholar 
94.Unckless, R. L., Clark, A. G. & Messer, P. W. Evolution of resistance against CRISPR/Cas9 gene drive. Genetics 205, 827–841 (2017).PubMed 
Article 

Google Scholar 
95.Drury, D. W., Dapper, A. L., Siniard, D. J., Zentner, G. E. & Wade, M. J. CRISPR/Cas9 gene drives in genetically variable and nonrandomly mating wild populations. Sci. Adv. 3, e1601910 (2017).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
96.Schmidt, H. et al. Abundance of conserved CRISPR-Cas9 target sites within the highly polymorphic genomes of Anopheles and Aedes mosquitoes. Nat. Commun. 11, 1425 (2020). This study provides computational evidence that conserved CRISPR cleavage sites are abundant in the genome.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
97.Akbari, O. S. et al. Safeguarding gene drive experiments in the laboratory. Science 349, 927–929 (2015).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
98.Li, J. et al. Genome-block expression-assisted association studies discover malaria resistance genes in Anopheles gambiae. Proc. Natl Acad. Sci. USA 110, 20675–20680 (2013).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
99.Niu, G. et al. The fibrinogen-like domain of FREP1 protein is a broad-spectrum malaria transmission-blocking vaccine antigen. J. Biol. Chem. 292, 11960–11969 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
100.Zhang, G. et al. Anopheles midgut FREP1 mediates plasmodium invasion. J. Biol. Chem. 290, 16490–16501 (2015).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
101.Dong, Y., Simoes, M. L., Marois, E. & Dimopoulos, G. CRISPR/Cas9 -mediated gene knockout of Anopheles gambiae FREP1 suppresses malaria parasite infection. PLoS Pathog. 14, e1006898 (2018).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
102.Simoes, M. L., Caragata, E. P. & Dimopoulos, G. Diverse host and restriction factors regulate mosquito-pathogen interactions. Trends Parasitol. 34, 603–616 (2018).PubMed 
Article 

Google Scholar 
103.Nash, A. et al. Integral gene drives for population replacement. Biol. Open 8, bio037762 (2019). This study describes a bipartite drive system that can enable testing of anti-parasite effector cassettes under standard mosquito confinement protocols.CAS 
PubMed 

Google Scholar 
104.Enayati, A., Hanafi-Bojd, A. A., Sedaghat, M. M., Zaim, M. & Hemingway, J. Evolution of insecticide resistance and its mechanisms in Anopheles stephensi in the WHO Eastern Mediterranean Region. Malar. J. 19, 258 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
105.Ffrench-Constant, R. H., Williamson, M. S., Davies, T. G. & Bass, C. Ion channels as insecticide targets. J. Neurogenet. 30, 163–177 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
106.Silva, J. J. & Scott, J. G. Conservation of the voltage-sensitive sodium channel protein within the Insecta. Insect Mol. Biol. 29, 9–18 (2020).CAS 
PubMed 
Article 

Google Scholar 
107.Casida, J. E. & Durkin, K. A. Novel GABA receptor pesticide targets. Pestic. Biochem. Physiol. 121, 22–30 (2015).CAS 
PubMed 
Article 

Google Scholar 
108.Ihara, M., Buckingham, S. D., Matsuda, K. & Sattelle, D. B. Modes of action, resistance and toxicity of insecticides targeting nicotinic acetylcholine receptors. Curr. Med. Chem. 24, 2925–2934 (2017).CAS 
PubMed 
Article 

Google Scholar 
109.Thapa, S., Lv, M. & Xu, H. Acetylcholinesterase: a primary target for drugs and insecticides. Mini Rev. Med. Chem. 17, 1665–1676 (2017).CAS 
PubMed 
Article 

Google Scholar 
110.Kleinstiver, B. P. et al. Engineered CRISPR-Cas12a variants with increased activities and improved targeting ranges for gene, epigenetic and base editing. Nat. Biotechnol. 37, 276–282 (2019).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
111.Walton, R. T., Christie, K. A., Whittaker, M. N. & Kleinstiver, B. P. Unconstrained genome targeting with near-PAMless engineered CRISPR-Cas9 variants. Science 368, 290–296 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
112.Committee on Gene Drive Research in Non-Human Organisms: Recommendations for Responsible Conduct; Board on Life Sciences; Division on Earth and Life Studies; National Academies of Sciences, Engineering, and Medicine. Gene Drives on the Horizon: Advancing Science, Navigating Uncertainty, and Aligning Research with Public Values (The National Academies Press, 2016). This comprehensive advisory and historical review document summarizes consensus views for how to safely rear and study gene-drive systems in the laboratory.113.Adelman, Z. et al. Rules of the road for insect gene drive research and testing. Nat. Biotechnol. 35, 716–718 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
114.James, S. et al. Pathway to deployment of gene drive mosquitoes as a potential biocontrol tool for elimination of malaria in Sub-Saharan Africa: recommendations of a scientific working group(dagger). Am. J. Trop. Med. Hyg. 98, 1–49 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
115.James, S. L., Marshall, J. M., Christophides, G. K., Okumu, F. O. & Nolan, T. Toward the definition of efficacy and safety criteria for advancing gene drive-modified mosquitoes to field testing. Vector Borne Zoonotic Dis. 20, 237–251 (2020).PubMed 
PubMed Central 
Article 

Google Scholar 
116.Warmbrod, K. L. et al. Gene Drives: Pursuing Opportunities, Minimizing Risk – A Johns Hopkins University Report on Responsible Governance (Johns Hopkins Bloomberg School of Public Health, Center for Health Security, Johns Hopkins University, 2020).117.Vella, M. R., Gunning, C. E., Lloyd, A. L. & Gould, F. Evaluating strategies for reversing CRISPR-Cas9 gene drives. Sci. Rep. 7, 11038 (2017).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
118.Rode, N. O., Courtier-Orgogozo, V. & Debarre, F. Can a population targeted by a CRISPR-based homing gene drive be rescued? G3 10, 3403–3415 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
119.Fedoroff, N., Wessler, S. & Shure, M. Isolation of the transposable maize controlling elements Ac and Ds. Cell 35, 235–242 (1983).CAS 
PubMed 
Article 

Google Scholar 
120.Paix, A. et al. Precision genome editing using synthesis-dependent repair of Cas9-induced DNA breaks. Proc. Natl Acad. Sci. USA 114, E10745–E10754 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
121.Wu, B., Luo, L. & Gao, X. J. Cas9-triggered chain ablation of cas9 as a gene drive brake. Nat. Biotechnol. 34, 137–138 (2016).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
122.Taxiarchi, C. et al. A genetically encoded anti-CRISPR protein constrains gene drive spread and prevents population suppression. Nat. Commun. 12, 3977 (2021).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
123.Conklin, B. R. On the road to a gene drive in mammals. Nature 566, 43–45 (2019).CAS 
PubMed 
Article 

Google Scholar 
124.Salkeld, D. J. Vaccines for conservation: plague, prairie dogs & black-footed ferrets as a case study. Ecohealth 14, 432–437 (2017).PubMed 
Article 

Google Scholar 
125.Teem, J. L. et al. Genetic biocontrol for invasive species. Front. Bioeng. Biotechnol. 8, 452 (2020).PubMed 
PubMed Central 
Article 

Google Scholar 
126.Godwin, J. et al. Rodent gene drives for conservation: opportunities and data needs. Proc. Biol. Sci. 286, 20191606 (2019).PubMed 
PubMed Central 

Google Scholar 
127.McFarlane, G. R., Whitelaw, C. B. A. & Lillico, S. G. CRISPR-based gene drives for pest control. Trends Biotechnol. 36, 130–133 (2018).CAS 
PubMed 
Article 

Google Scholar 
128.Klompe, S. E., Vo, P. L. H., Halpin-Healy, T. S. & Sternberg, S. H. Transposon-encoded CRISPR-Cas systems direct RNA-guided DNA integration. Nature 571, 219–225 (2019).CAS 
PubMed 
Article 

Google Scholar 
129.Koonin, E. V., Makarova, K. S., Wolf, Y. I. & Krupovic, M. Evolutionary entanglement of mobile genetic elements and host defence systems: guns for hire. Nat. Rev. Genet. 21, 119–131 (2020).CAS 
PubMed 
Article 

Google Scholar 
130.Strecker, J. et al. RNA-guided DNA insertion with CRISPR-associated transposases. Science 365, 48–53 (2019).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
131.Peters, J. E., Makarova, K. S., Shmakov, S. & Koonin, E. V. Recruitment of CRISPR-Cas systems by Tn7-like transposons. Proc. Natl Acad. Sci. USA 114, E7358–E7366 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
132.Wiegand, T. & Wiedenheft, B. CRISPR Surveillance Turns Transposon Taxi. CRISPR J. 3, 10–12 (2020).PubMed 
PubMed Central 
Article 

Google Scholar 
133.Hamilton, T. A. et al. Efficient inter-species conjugative transfer of a CRISPR nuclease for targeted bacterial killing. Nat. Commun. 10, 4544 (2019).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
134.Price, V. J. et al. Enterococcus faecalis CRISPR-cas is a robust barrier to conjugative antibiotic resistance dissemination in the murine intestine. mSphere 4, e00464-19 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
135.Rodrigues, M., McBride, S. W., Hullahalli, K., Palmer, K. L. & Duerkop, B. A. Conjugative delivery of CRISPR-Cas9 for the selective depletion of antibiotic-resistant enterococci. Antimicrob. Agents Chemother. 63, e01454-19 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
136.Carraro, N. et al. Plasmid-like replication of a minimal streptococcal integrative and conjugative element. Microbiology 162, 622–632 (2016).CAS 
PubMed 
Article 

Google Scholar 
137.Brophy, J. A. N. et al. Engineered integrative and conjugative elements for efficient and inducible DNA transfer to undomesticated bacteria. Nat. Microbiol. 3, 1043–1053 (2018).CAS 
PubMed 
Article 

Google Scholar 
138.Bikard, D. et al. Exploiting CRISPR-Cas nucleases to produce sequence-specific antimicrobials. Nat. Biotechnol. 32, 1146–1150 (2014).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
139.Citorik, R. J., Mimee, M. & Lu, T. K. Sequence-specific antimicrobials using efficiently delivered RNA-guided nucleases. Nat. Biotechnol. 32, 1141–1145 (2014).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
140.Yosef, I., Manor, M., Kiro, R. & Qimron, U. Temperate and lytic bacteriophages programmed to sensitize and kill antibiotic-resistant bacteria. Proc. Natl Acad. Sci. USA 112, 7267–7272 (2015).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
141.Park, J. Y. et al. Genetic engineering of a temperate phage-based delivery system for CRISPR/Cas9 antimicrobials against Staphylococcus aureus. Sci. Rep. 7, 44929 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
142.Pazda, M., Kumirska, J., Stepnowski, P. & Mulkiewicz, E. Antibiotic resistance genes identified in wastewater treatment plant systems – a review. Sci. Total. Env. 697, 134023 (2019).CAS 
Article 

Google Scholar 
143.Kraemer, S. A., Ramachandran, A. & Perron, G. G. Antibiotic pollution in the environment: from microbial ecology to public policy. Microorganisms 7, 180 (2019).CAS 
PubMed Central 
Article 
PubMed 

Google Scholar 
144.Ram, G., Ross, H. F., Novick, R. P., Rodriguez-Pagan, I. & Jiang, D. Conversion of staphylococcal pathogenicity islands to CRISPR-carrying antibacterial agents that cure infections in mice. Nat. Biotechnol. 36, 971–976 (2018).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
145.Bier, E. & Nizet, V. Driving to safety: CRISPR-based genetic approaches to reducing antibiotic resistance. Trends Genet. https://doi.org/10.1016/j.tig.2021.02.007 (2021).Article 
PubMed 

Google Scholar 
146.Rossati, A. et al. Climate, environment and transmission of malaria. Infez. Med. 24, 93–104 (2016).PubMed 

Google Scholar 
147.Fontenille, D. & Powell, J. R. From anonymous to public enemy: how does a mosquito become a feared arbovirus vector? Pathogens 9, 265 (2020).PubMed Central 
Article 
PubMed 

Google Scholar 
148.Lidani, K. C. F. et al. Chagas disease: from discovery to a worldwide health problem. Front. Public Health 7, 166 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
149.Buscher, P., Cecchi, G., Jamonneau, V. & Priotto, G. Human African trypanosomiasis. Lancet 390, 2397–2409 (2017).PubMed 
Article 

Google Scholar 
150.Desjeux, P. Leishmaniasis: current situation and new perspectives. Comp. Immunol. Microbiol. Infect. Dis. 27, 305–318 (2004).CAS 
PubMed 
Article 

Google Scholar 
151.Saxena, V., Bolling, B. G. & Wang, T. West nile virus. Clin. Lab. Med. 37, 243–252 (2017).PubMed 
Article 

Google Scholar 
152.Simon, L. V., Kong, E. L. & Graham, C. in St. Louis Encephalitis (StatPearls, 2020).153.Feng, X. et al. Optimized CRISPR tools and site-directed transgenesis towards gene drive development in Culex quinquefasciatus mosquitoes. Nat. Commun. 12, 2960 (2021).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
154.Nepomichene, T. N., Andrianaivolambo, L., Boyer, S. & Bourgouin, C. Efficient method for establishing F1 progeny from wild populations of Anopheles mosquitoes. Malar. J. 16, 21 (2017).PubMed 
PubMed Central 
Article 

Google Scholar 
155.Marchand, R. P. A new cage for observing mating behavior of wild Anopheles gambiae in the laboratory. J. Am. Mosq. Control. Assoc. 1, 234–236 (1985).CAS 
PubMed 

Google Scholar 
156.Nunes-da-Fonseca, R., Berni, M., Tobias-Santos, V., Pane, A. & Araujo, H. M. Rhodnius prolixus: from classical physiology to modern developmental biology. Genesis https://doi.org/10.1002/dvg.22995 (2017).Article 
PubMed 

Google Scholar 
157.Chaverra-Rodriguez, D. et al. Targeted delivery of CRISPR-Cas9 ribonucleoprotein into arthropod ovaries for heritable germline gene editing. Nat. Commun. 9, 3008 (2018).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
158.Macias, V. M. et al. Cas9-mediated gene-editing in the malaria mosquito anopheles stephensi by ReMOT Control. G3 10, 1353–1360 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
159.Chaverra-Rodriguez, D. et al. Germline mutagenesis of Nasonia vitripennis through ovarian delivery of CRISPR-Cas9 ribonucleoprotein. Insect Mol. Biol. 29, 569–577 (2020).CAS 
PubMed 
Article 

Google Scholar 
160.Heu, C. C., McCullough, F. M., Luan, J. & Rasgon, J. L. CRISPR-Cas9-based genome editing in the silverleaf whitefly (Bemisia tabaci). CRISPR J. 3, 89–96 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
161.Prowse, T. A., Adikusuma, F., Cassey, P., Thomas, P. & Ross, J. V. A Y-chromosome shredding gene drive for controlling pest vertebrate populations. eLife 8, e41873 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
162.Carballar-Lejarazu, R. & James, A. A. Population modification of Anopheline species to control malaria transmission. Pathog. Glob. Health 111, 424–435 (2017).PubMed 
Article 
PubMed Central 

Google Scholar 
163.Annas, G. J. et al. A code of ethics for gene drive research. CRISPR J. 4, 19–24 (2021).PubMed 
PubMed Central 
Article 

Google Scholar 
164.Bier, E. & Sober, E. Gene editing and the war against malaria. Am. Sci. 108, 162–169 (2020).Article 

Google Scholar 
165.Long, K. C. et al. Core commitments for field trials of gene drive organisms. Science 370, 1417–1419 (2020).CAS 
PubMed 
Article 

Google Scholar 
166.Kormos, A. et al. Application of the relationship-based model to engagement for field trials of genetically engineered malaria vectors.Am. J. Trop. Med. Hyg. 104, 805–811 (2020).PubMed Central 
PubMed 

Google Scholar 
167.World Health Organization. Guidance framework for testing of genetically modified mosquitoes. WHO http://apps.who.int/iris/bitstream/10665/127889/1/9789241507486_eng.pdf (2014).168.Smith, D. L., McKenzie, F. E., Snow, R. W. & Hay, S. I. Revisiting the basic reproductive number for malaria and its implications for malaria control. PLoS Biol. 5, e42 (2007).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
169.Brauer, F., Castillo-Chavez, C., Mubayi, A. & Towers, S. Some models for epidemics of vector-transmitted diseases. Infect. Dis. Model. 1, 79–87 (2016).PubMed 
PubMed Central 

Google Scholar 
170.Deredec, A., Godfray, H. C. & Burt, A. Requirements for effective malaria control with homing endonuclease genes. Proc. Natl Acad. Sci. USA 108, E874–E880 (2011).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
171.Escalante, A. A. & Pacheco, M. A. Malaria molecular epidemiology: an evolutionary genetics perspective. Microbiol. Spectr. https://doi.org/10.1128/microbiolspec.AME-0010-2019 (2019).Article 
PubMed 
PubMed Central 

Google Scholar 
172.Selvaraj, P. et al. Vector genetics, insecticide resistance and gene drives: An agent-based modeling approach to evaluate malaria transmission and elimination. PLoS Comput. Biol. 16, e1008121 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar  More

1.Kumar, V. et al. Can productivity and profitability be enhanced in intensively managed cereal systems while reducing the environmental footprint of production? Assessing sustainable intensification options in the breadbasket of India. Agric. Ecosyst. Environ. 252, 132–147 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
2.Ladha, J. K. et al. How extensive are yield declines in long-term rice-wheat experiments in Asia?. For. Crop. Res. 81, 159–180 (2003).Article 

Google Scholar 
3.Bhatt, R., Kukal, S. S., Busari, M. A., Arora, S. & Yadav, M. Sustainability issues on rice–wheat cropping system. Int. Soil Water Conserv. Res. 4, 64–74 (2016).Article 

Google Scholar 
4.Sidhu, H. S. et al. Sub-surface drip fertigation with conservation agriculture in a rice-wheat system: A breakthrough for addressing water and nitrogen use efficiency. Agric. Water Manag. 216, 273–283 (2019).Article 

Google Scholar 
5.Singh, M. et al. intercomparison of crop establishment methods for improving yield and profitability in the rice-wheat system of Eastern India. For. Crop. Res. 250, 107776 (2020).Article 

Google Scholar 
6.Jat, H. S. et al. Energy use efficiency of crop residue management for sustainable energy and agriculture conservation in NW India. Renew. Energy 155, 1372–1382 (2020).Article 

Google Scholar 
7.Lohan, S. K. et al. Burning issues of paddy residue management in north-west states of India. Renew. Sustain. Energy Rev. 81, 693–706 (2018).Article 

Google Scholar 
8.Buhler, D. D. Weed population responses to weed control practices. II. Residual effects on weed populations, control, and Glycine max yield. Weed Sci. 47, 423–426 (1999).CAS 
Article 

Google Scholar 
9.Armengot, L. et al. Tillage as a driver of change in weed communities: A functional perspective. Agric. Ecosyst. Environ. 222, 276–285 (2016).Article 

Google Scholar 
10.Chhokar, R. S., Singh, S., Sharma, R. K. & Singh, M. Influence of straw management on Phalaris minor Retz control. Indian J. Weed Sci. 41, 150–156 (2009).
Google Scholar 
11.Chhokar, R. S. & Malik, R. K. Isoproturon-resistant Littleseed Canarygrass (Phalaris minor) and its response to alternate herbicides. Weed Technol. 16, 116–123 (2002).CAS 
Article 

Google Scholar 
12.Oerke, E. C. Crop losses to pests. J. Agric. Sci. 144, 31–43 (2006).Article 

Google Scholar 
13.Hassan, G., Khan, I., Khan, H. & Munir, M. Effect of different herbicides on weed density and some agronomic traits of wheat. Pak. J. Weed Sci. Res. 11, 17–22 (2005).
Google Scholar 
14.Chhokar, R. S. Ã., Sharma, R. K., Jat, G. R., Pundir, A. K. & Gathala, M. K. Effect of tillage and herbicides on weeds and productivity of wheat under rice–wheat growing system. Crop Prot. 26, 1689–1696 (2007).CAS 
Article 

Google Scholar 
15.Yadav, D. B., Yadav, A., Punia, S. S. & Chauhan, B. S. Management of herbicide-resistant Phalaris minor in wheat by sequential or tank-mix applications of pre- and post-emergence herbicides in north-western Indo-Gangetic Plains. Crop Prot. 89, 239–247 (2016).Article 

Google Scholar 
16.Harker, K. N. & O’Donovan, J. T. Recent weed control, weed management, and integrated weed management. Weed Technol. 27, 1–11 (2013).Article 

Google Scholar 
17.Scherner, A., Melander, B. & Kudsk, P. Vertical distribution and composition of weed seeds within the plough layer after eleven years of contrasting crop rotation and tillage schemes. Soil Tillage Res. 161, 135–142 (2016).Article 

Google Scholar 
18.Hillocks, R. J. Farming with fewer pesticides: EU pesticide review and resulting challenges for UK agriculture. Crop Prot. 31, 85–93 (2012).Article 

Google Scholar 
19.Nikolić, L., Šeremešić, S., Ljevnaić-Mašić, B., Latković, D. & Konstantinović, B. Weeds and their ecological indicator values in a long-term experiment. Appl. Ecol. Environ. Res. 18, 4775–4790 (2020).Article 

Google Scholar 
20.Blubaugh, C. K. & Kaplan, I. Tillage compromises weed seed predator activity across developmental stages. Biol. Control 81, 76–82 (2015).Article 

Google Scholar 
21.Nichols, V., Verhulst, N., Cox, R. & Govaerts, B. Weed dynamics and conservation agriculture principles: A review. For. Crop. Res. 183, 56–68 (2015).Article 

Google Scholar 
22.Sepat, S. et al. Effects of weed control strategy on weed dynamics, soybean productivity and profitability under conservation agriculture in India. For. Crop. Res. 210, 61–70 (2017).Article 

Google Scholar 
23.Sharma, P., Singh, M. K., Verma, K. & Prasad, S. K. Changes in the weed seed bank in long-term establishment methods trials under rice-wheat cropping system. Agronomy 10, 1–14 (2020).
Google Scholar 
24.Plaza-Bonilla, D. et al. Carbon management in dryland agricultural systems. A review. Agron. Sustain. Dev. 35, 1319–1334 (2015).Article 

Google Scholar 
25.Nandan, R. et al. Viable weed seed density and diversity in soil and crop productivity under conservation agriculture practices in rice-based cropping systems. Crop Prot. 136, 105210 (2020).CAS 
Article 

Google Scholar 
26.Choudhary, M., Vivek Sharma, P. C., Yadav, A. K. & Jat, H. S. Influence of management practices on weed dynamics, crop productivity and profitability in Wheat under Rice-Wheat cropping system in reclaimed sodic soils. J. Soil Salin. Water Qual. 9, 78–83 (2017).
Google Scholar 
27.Menalled, F. D., Smith, R. G., Dauer, J. T. & Fox, T. B. Impact of agricultural management on carabid communities and weed seed predation. Agric. Ecosyst. Environ. 118, 49–54 (2007).Article 

Google Scholar 
28.Shahzad, M., Farooq, M. & Hussain, M. Weed spectrum in different wheat-based cropping systems under conservation and conventional tillage practices in Punjab, Pakistan. Soil Tillage Res. 163, 71–79 (2016).Article 

Google Scholar 
29.Kumar, V. et al. Weed management strategies to reduce herbicide use in zero-till Rice–Wheat cropping systems of the Indo-Gangetic Plains. Weed Technol. 27, 241–254 (2013).Article 

Google Scholar 
30.Weisberger, D., Nichols, V. & Liebman, M. Does diversifying crop rotations suppress weeds? A meta-analysis. PLoS One 14, 1–12 (2019).
Google Scholar 
31.Melander, B. et al. European perspectives on the adoption of nonchemical weed management in reduced-tillage systems for arable crops. Weed Technol. 27, 231–240 (2013).Article 

Google Scholar 
32.Nandan, R. et al. Comparative assessment of the relative proportion of weed morphology, diversity, and growth under new generation tillage and crop establishment techniques in rice-based cropping systems. Crop Prot. 111, 23–32 (2018).Article 

Google Scholar 
33.Westerman, P., Luijendijk, C. D., Wevers, J. D. A. & Van Der Werf, W. Weed seed predation in a phenologically late crop. Weed Res. 51, 157–164 (2011).Article 

Google Scholar 
34.Honek, A., Martinkova, Z. & Jarosik, V. Ground beetles (Carabidae) as seed predators. Eur. J. Entomol. 100, 531–544 (2003).Article 

Google Scholar 
35.Jat, H. S. et al. Temporal changes in soil microbial properties and nutrient dynamics under climate smart agriculture practices. Soil Tillage Res. 199, 104595 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
36.Liebman, M. & Davis, A. S. Integration of soil, crop and weed management in low-external-input farming systems. Weed Res. 20, 27–47 (2000).Article 

Google Scholar 
37.Lee, S. H., Yoo, S. H., Choi, J. Y. & Bae, S. Assessment of the impact of climate change on drought characteristics in the Hwanghae Plain, North Korea using time series SPI and SPEI: 1981–2100. Water (Switzerland) 9, 20 (2017).
Google Scholar 
38.Jat, H. S. et al. Re-designing irrigated intensive cereal systems through bundling precision agronomic innovations for transitioning towards agricultural sustainability in North-West India. Sci. Rep. 9, 1–14 (2019).ADS 
CAS 
Article 

Google Scholar 
39.Jat, H. S. et al. Climate Smart Agriculture practices improve soil organic carbon pools, biological properties and crop productivity in cereal-based systems of north-west India. CATENA 181, 104059 (2019).CAS 
Article 

Google Scholar 
40.Hernández Plaza, E., Navarrete, L. & González-Andújar, J. L. Intensity of soil disturbance shapes response trait diversity of weed communities: The long-term effects of different tillage systems. Agric. Ecosyst. Environ. 207, 101–108 (2015).Article 

Google Scholar 
41.Trichard, A., Ricci, B., Ducourtieux, C. & Petit, S. The spatio-temporal distribution of weed seed predation differs between conservation agriculture and conventional tillage. Agric. Ecosyst. Environ. 188, 40–47 (2014).Article 

Google Scholar 
42.Franke, A. C. et al. Phalaris minor seedbank studies: Longevity, seedling emergence and seed production as affected by tillage regime. Weed Res. 47, 73–83 (2007).Article 

Google Scholar 
43.Usman, K. et al. Integrated weed management through tillage and herbicides for Wheat production in Rice-Wheat cropping system in northwestern Pakistan. J. Integr. Agric. 11, 946–953 (2012).CAS 
Article 

Google Scholar 
44.Naresh, R. K. et al. Conservation agriculture improving soil quality for sustainable production systems under smallholder farming conditions in north west India: A review. Int. J. life Sci. Biotechnol. Pharm. Res. 2, 65 (2013).CAS 

Google Scholar 
45.Kumar, V. et al. Conservation agriculture (CA)-based practices reduced weed problem in wheat and caused shifts in weed seedbank community in rice-wheat cropping systems. In Weed Science for Sustainable Agriculture, Environment, and Biodiversity. (Eds. Rao A. N and Yaduraju N. T), Proceedings of 25th Asian Pacific Weed Science Society Conference 142 (2015).46.Malik, R. K., Kumar, V. & McDonald, A. Conservation agriculture-based resource-conserving practices and weed management in the rice-wheat cropping systems of the Indo-Gangetic Plains. Indian J. Weed Sci. 50, 218 (2018).Article 

Google Scholar 
47.Roth, C. M., Shroyer, J. P. & Paulsen, G. M. Allelopathy of sorghum on wheat under several tillage systems. Agron. J. 20, 855–860 (2000).Article 

Google Scholar 
48.Ayodele, O. P. & Aluko, O. A. Weed management strategies for conservation agriculture and environmental sustainability in Nigeria. IOSR J. Agric. Vet. Sci. Ver. I(10), 2319–2372 (2017).
Google Scholar 
49.Crutchfield, D. A., Wicks, G. A. & Burnside, O. C. Effect of winter wheat (Triticum aestivum) straw mulch level on weed control. Weed Sci. 34, 110–114 (1986).CAS 
Article 

Google Scholar 
50.Khanh, T. D., Xuan, T. D. & Chung, I. M. Rice allelopathy and the possibility for weed management. Ann. Appl. Biol. 151, 325–339 (2007).CAS 
Article 

Google Scholar 
51.Santín-Montanyá, M. I., Martín-Lammerding, D., Walter, I., Zambrana, E. & Tenorio, J. L. Effects of tillage, crop systems and fertilization on weed abundance and diversity in 4-year dry land winter wheat. Eur. J. Agron. 48, 43–49 (2013).Article 

Google Scholar 
52.Heggenstaller, A. H., Liebman, M. & Anex, R. P. Growth analysis of biomass production in sole-crop and double-crop corn systems. Crop Sci. 49, 2215–2224 (2009).Article 

Google Scholar 
53.Liebman, M. & Mohler, C. L. Weeds and the soil environment. In Ecological Management of Agricultural Weeds, (M. Liebman et al. eds.) 210–268 (2001). https://doi.org/10.1071/ea04026.54.Shrestha, A., Jeffrey, P. M. & Lanini, W. T. Subsurface drip irrigation as a weed management tool for conventional and conservation tillage Tomato (Lycopersicon esculentum Mill.) production in semi-arid agroecosystems. J. Sustain. Agric. 31, 37–41 (2007).Article 

Google Scholar 
55.Coolong, T. Using irrigation to manage weeds: A focus on drip irrigation. In Weed and Pest Control—Conventional and New Challenges (ed. Goyal, M. R.) 162–182 (Apple Academic Press, 2013).
Google Scholar 
56.Chhokar, R. S., Malik, R. K. & Balyan, R. S. Effect of moisture stress and seeding depth on germination of littleseed Canarygrass (Phalaris minor Retz.). Indian J. Weed Sci. 31, 78–79 (1999).
Google Scholar 
57.Singh, R., Gajri, P. R., Gill, K. S. & Khera, R. Puddling intensity and nitrogen use efficiency of rice (Oryza sativa) on a sandy loam soil of Punjab. Indian J. Agric. Sci. 65, 749–751 (1995).
Google Scholar 
58.Bajwa, A., Anjum, S. A. & Tanveer, M. Impact of fertilizer use on weed management in conservation agriculture—a review. Paki. J. Agric. Res. 69, 20 (2014).
Google Scholar 
59.Derksen, D. A., Anderson, R. L., Blackshaw, R. E. & Maxwell, B. Weed dynamics and management in the Northern Great Plains. Agron. J. 94, 174–185 (2002).Article 

Google Scholar 
60.Gathala, M. K. et al. Effect of tillage and crop establishment methods on physical properties of a medium-textured soil under a seven-year Rice-Wheat rotation. Soil Sci. Soc. Am 75, 1851–1863 (2011).CAS 
Article 

Google Scholar 
61.Dong, H., Ma, Y., Wu, H., Jiang, W. & Ma, X. Germination of Solanum nigrum l (black nightshade) in response to different abiotic factors. Planta Daninha 2016, 1–12 (2020).
Google Scholar 
62.Farooq, M., Flower, K. C., Jabran, K., Wahid, A. & Siddique, K. H. M. Crop yield and weed management in rainfed conservation agriculture. Soil Tillage Res. 117, 172–183 (2011).Article 

Google Scholar 
63.Swanton, C. J., Clements, D. R. & Derksen, D. A. Weed succession under conservation tillage: A hierarchical framework for research and management. Weed Technol. 7, 286–297 (1993).Article 

Google Scholar 
64.Humphreys, E., Kukal, S. S., Christen, E. W. & Hira, G. S. Halting the groundwater decline in North-West India—which crop technologies will be Winners?. Adv. Agron. 109, 155–217 (2010).Article 

Google Scholar 
65.Gomez, K. A. & Gomez, A. Statistical Procedures for Agricultural Research. (1984).66.Microsoft Corporation. (2010). Microsoft Excel. https://office.microsoft.com/excel. More

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